IJACSA Vol. 15 Issue 7 (2024)

1

Integrating Observability with DevOps Practices in Financial Services Technologies: A Study on Enhancing Software Development and Operational Resilience

Author 1: Ankur Mahida

The finance market closely depends on translation and high-quality software solutions when performing crucial transactions and processing important information and customer services. Thus, systems’ reliability and good performance become crucial when these systems become complicated. This paper aims to focus on the implementation of the observability concept with the DevOps… Read full abstract & cite →

Observability monitoring integrated analysis DevOPs integration operational resilience

Abstract doi.org/10.14569/IJACSA.2024.0150701 PDF

2

Enhancing Administrative Source Registers for the Development of a Robust Large Language Model: A Novel Methodological Approach

Author 1: Adham Kahlawi Author 2: Cristina Martelli

Accurate statistical information is critical for understanding, describing, and managing socio-economic systems. While data availability has increased, often it does not meet the quality requirements for effective governance. Administrative registers are crucial for statistical information production, but their potential is hampered by quality issues stemming from administrative inconsistencies. This paper… Read full abstract & cite →

Statistical information systems administrative data reuse ontology database semantic web knowledge graph LLM

Abstract doi.org/10.14569/IJACSA.2024.0150702 PDF

3

Enhancing Healthcare: Machine Learning for Diabetes Prediction and Retinopathy Risk Evaluation

Author 1: Ghinwa Barakat Author 2: Samer El Hajj Hassan Author 3: Nghia Duong-Trung Author 4: Wiam Ramadan

Diabetes mellitus stands as a major public health issue that affects millions globally. Among the various complications associated with diabetes, diabetic retinopathy presents a significant concern, affecting approximately one-third of diabetic patients. Early detection of diabetic retinopathy is paramount, as timely treatment can significantly reduce the risk of severe visual… Read full abstract & cite →

Machine learning diabetes prediction artificial intelligence in healthcare XGBoost Random Forest

Abstract doi.org/10.14569/IJACSA.2024.0150703 PDF

4

Enhancing Audio Classification Through MFCC Feature Extraction and Data Augmentation with CNN and RNN Models

Author 1: Karim Mohammed Rezaul Author 2: Md. Jewel Author 3: Md Shabiul Islam Author 4: Kazy Noor e Alam Siddiquee Author 5: Nick Barua Author 6: Muhammad Azizur Rahman Author 7: Mohammad Shan-A-Khuda Author 8: Rejwan Bin Sulaiman Author 9: Md Sadeque Imam Shaikh Author 10: Md Abrar Hamim Author 11: F.M Tanmoy Author 12: Afraz Ul Haque Author 13: Musarrat Saberin Nipun Author 14: Navid Dorudian Author 15: Amer Kareem Author 16: Ahmmed Khondokar Farid Author 17: Asma Mubarak Author 18: Tajnuva Jannat Author 19: Umme Fatema Tuj Asha

Sound classification is a multifaceted task that necessitates the gathering and processing of vast quantities of data, as well as the construction of machine learning models that can accurately distinguish between various sounds. In our project, we implemented a novel methodology for classifying both musical instruments and environmental sounds, utilizing… Read full abstract & cite →

Deep learning (artificial intelligence) data augmentation audio segmentation signal processing frame blocking fast fourier transform discrete cosine transform feature extraction MFCC CNN RNN

Abstract doi.org/10.14569/IJACSA.2024.0150704 PDF

5

Autonomous Robots for Transport Applications

Author 1: Yang Lu

Even though automation of travel systems is already happening, it's important to know how the introduction of self-driving cars might change people's transportation habits because changes in these choices could have an effect on health as well as the long-term viability and efficiency of transportation systems. For this study to… Read full abstract & cite →

Autonomous vehicles transport choices sustainability health physical activity active transport shared autonomous vehicles private autonomous vehicles public transport

Abstract doi.org/10.14569/IJACSA.2024.0150705 PDF

6

A Memory-Based Neural Network Model for English to Telugu Language Translation on Different Types of Sentences

Author 1: Bilal Bataineh Author 2: Bandi Vamsi Author 3: Ali Al Bataineh Author 4: Bhanu Prakash Doppala

In India, regional languages play an important role in government-to-public, public-to-citizen rights, weather forecasting and farming. Depending on the state the language also changes accordingly. But in the case of remote areas, the understanding level becomes complex since everything nowadays is presented in the English Language. In such conditions, the… Read full abstract & cite →

Machine translation English-Telugu translation RNN LSTM

Abstract doi.org/10.14569/IJACSA.2024.0150706 PDF

7

Hybrid Security Systems: Human and Automated Surveillance Approaches

Author 1: Mohammed Ameen Author 2: Richard Stone Author 3: Ulrike Genschel Author 4: Fatima Mgaedeh

The study investigates the performance of hybrid security systems under different personnel training and artificial intelligence (AI) assistance conditions. The aim is to understand the system’s impact on different scenarios that involve human operators and AI and to develop a predictive model for optimizing system performance. A human security information… Read full abstract & cite →

Hybrid surveillance systems human-AI interaction operator training predictive modeling linear regression

Abstract doi.org/10.14569/IJACSA.2024.0150707 PDF

8

Towards Secure Internet of Things-Enabled Intelligent Transportation Systems: A Comprehensive Review

Author 1: Changxia Lu Author 2: Fengyun Wang

The Internet of Things (IoT) constitutes a technological evolution capable of influencing the establishment of smart cities in a wide range of fields, including transportation. Intelligent Transportation Systems (ITS) represent a prominent IoT-enabled solution designed to enhance the efficiency, safety, and sustainability of transport networks. However, integrating IoT with ITS… Read full abstract & cite →

Internet of Things intelligent transportation security logistics

Abstract doi.org/10.14569/IJACSA.2024.0150708 PDF

9

Hybrid Machine Learning Models Based on CATBoost Classifier for Assessing Students' Academic Performance

Author 1: Ding Hao Author 2: Yang Xiaoqi Author 3: Qi Taoyu

This study addresses the imperative task of predicting and evaluating students' academic performance by amalgamating qualitative and quantitative factors, crucial in light of the persisting challenges undergraduates encounter in completing their degrees. Educational institutions wield significant influence in prognosticating student outcomes, necessitating the application of data mining (DM) techniques such… Read full abstract & cite →

Academic performance hybridization CATBoost classifier meta-heuristic algorithms educational institutions

Abstract doi.org/10.14569/IJACSA.2024.0150709 PDF

10

Exploring the Impact of Time Management Skills on Academic Achievement with an XGBC Model and Metaheuristic Algorithm

Author 1: Songyang Li

Estimating a student's academic performance is a crucial aspect of learning preparation. In order to predict understudy academic performance, this consideration uses a few Machine Learning (ML) models and Time Administration Aptitudes data from the Time Structure Questionnaire (TSQ). While a number of other useful characteristics have been used to… Read full abstract & cite →

Student academic performance time management machine learning extreme gradient boosting classification metaheuristic algorithm

Abstract doi.org/10.14569/IJACSA.2024.0150710 PDF

11

Deep Hybrid Learning Approaches for COVID-19 Virus Detection Using Chest X-ray Images

Author 1: Mansor Alohali

This paper introduces a novel deep learning framework for highly accurate COVID-19 detection using chest X-ray images. The proposed model tackles the challenge by combining stacked Convolutional Neural Network models for superior feature extraction to potentially enhance interpretability. The proposed model achieved a high accuracy in distinguishing COVID-19 from healthy… Read full abstract & cite →

COVID-19 detection deep learning deep hybrid learning chest X-ray analysis machine learning classifiers medical image analysis convolutional networks

Abstract doi.org/10.14569/IJACSA.2024.0150711 PDF

12

Having Deep Investigation on Predicting Unconfined Compressive Strength by Decision Tree in Hybrid and Individual Approaches

Author 1: Qingqing Zhang Author 2: Lei Wang Author 3: Hongmei Gu

In the field of geotechnical engineering Rocks' unconfined compressive strength (UCS) is an important variable that plays a significant part in civil engineering projects like foundation design, mining, and tunneling. These projects' stability and safety depend on how accurately UCS predicts the future. In this study, machine learning (ML) techniques… Read full abstract & cite →

Unconfined compressive strength machine learning decision tree population-based vortex search algorithm arithmetic optimizer algorithm

Abstract doi.org/10.14569/IJACSA.2024.0150712 PDF

13

Temporal Fusion Transformers for Enhanced Multivariate Time Series Forecasting of Indonesian Stock Prices

Author 1: Standy Hartanto Author 2: Alexander Agung Santoso Gunawan

The stock market represents the financial pulse of economies and is an important part of the global financial system. It allows people to buy and sell shares in publicly held corporations. It serves as a platform for investors to trade ownership in businesses, enabling companies to raise capital for expansion… Read full abstract & cite →

Time series forecasting stock price prediction capital market technical analysis TFT

Abstract doi.org/10.14569/IJACSA.2024.0150713 PDF

14

Method for Prediction of Motion Based on Recursive Least Squares Method with Time Warp Parameter and its Application to Physical Therapy

Author 1: Kohei Arai Author 2: Kosuke Eto Author 3: Mariko Oda

We build an exercise therapy support system for children with disabilities that applies artificial intelligence technology. In this study, a 3DCG character shows a model body-building exercise, and at the same time provides feedback such as calling out to the trainee. At that time, to make the exercise therapy work… Read full abstract & cite →

Exercise therapy disabled person body-building exercise 3D character Recursive Least-Squares estimation: RLS method Dynamic Time Warping: DTW method

Abstract doi.org/10.14569/IJACSA.2024.0150714 PDF

15

Research of the V2X Technology Organization Model for Self-Managed Technical Equipment

Author 1: Amir Gubaidullin Author 2: Olga Manankova

The steady progression of information technology today is opening up opportunities for extensive automation across various sectors, including the automotive industry. The active development of IT systems has paved the way for V2X (Vehicle-to-Everything) technology, which enables communication such as "vehicle-to-vehicle" and "vehicle-to-road infrastructure". This article focuses on exploring the… Read full abstract & cite →

V2X V2V autonomous vehicles DSRC scenarios frequency spectrum

Abstract doi.org/10.14569/IJACSA.2024.0150715 PDF

16

IoT-Opthom-CAD: IoT-Enabled Classification System of Multiclass Retinal Eye Diseases Using Dynamic Swin Transformers and Explainable Artificial Intelligence

Author 1: Talal AlBalawi Author 2: Mutlaq B. Aldajani Author 3: Qaisar Abbas Author 4: Yassine Daadaa

Integrating Internet of Things (IoT)-assisted eye-related recognition incorporates connected devices and sensors for primary analysis and monitoring of eye conditions. Recent advancements in IoT-based retinal fundus recognition utilizing deep learning (DL) have significantly enhanced early analysis and monitoring of eye-related diseases. Ophthalmologists use retinal images in the diagnosis of different… Read full abstract & cite →

Computer-aided diagnosis ophthalmology multiclass classification tessellation age-related macular degeneration Optic Disc Edema (ODE) hypertensive retinopathy data augmentation transformers Swin explainable AI Internet of Things

Abstract doi.org/10.14569/IJACSA.2024.0150716 PDF

17

Method for Detecting the Appropriateness of Wearing a Helmet Chin Strap at Construction Sites

Author 1: Kohei Arai Author 2: Kodai Beppu Author 3: Yuya Ifuku Author 4: Mariko Oda

A novel method for verifying the proper use of helmet chin straps during clothing inspections at construction sites is proposed, prioritizing safety in construction environments. As the problem statement, existing helmet-wearing state detection systems often rely on approaches that might not be optimal. This research aims to address limitations in… Read full abstract & cite →

Detectron2 safety-first construction helmet chin strap annotation roboflow COCO annotator YOLOv8

Abstract doi.org/10.14569/IJACSA.2024.0150717 PDF

18

Augmented Reality Development for Garbage Sortation Education for Children

Author 1: Devi Afriyantari Puspa Putri Author 2: Nisa Dwi Septiyanti Author 3: Endah Sudarmilah Author 4: Diah Priyawati

The global crisis problem related to climate change, one of the main factors is the accumulation of waste which is getting higher every day. One effective way to reduce the accumulation of waste is by sorting the waste and recycling the waste. However, the waste sorting process in Indonesia is… Read full abstract & cite →

Augmented reality pemilahan sampah Unity3D vuforia

Abstract doi.org/10.14569/IJACSA.2024.0150718 PDF

19

The Interplay Between Machine Learning Techniques and Supply Chain Performance: A Structured Content Analysis

Author 1: Asmaa Es-satty Author 2: Mohamed Naimi Author 3: Radouane Lemghari Author 4: Chafik Okar

Over recent years, disruptive technologies have shown considerable potential to improve supply chain efficiency. In this regard, numerous papers have explored the link between machine learning techniques and supply chain performance. However, research works still need more systematization. To fill this gap, this paper aims to systematize published papers highlighting… Read full abstract & cite →

Bibliometric analysis machine learning ProKnow-C methodology supply chain performance

Abstract doi.org/10.14569/IJACSA.2024.0150719 PDF

20

A Kepler Optimization Algorithm-Based Convolutional Neural Network Model for Risk Management of Internet Enterprises

Author 1: Bin Liu Author 2: Fengjiao Zhou Author 3: Haitong Jiang Author 4: Rui Ma

Internet enterprises, as the representative enterprises of technology-based enterprises, contribute more and more to the growth of the world economy. To ensure the sustainable development of enterprises, it is necessary to predict the risks in the operation of Internet enterprises. An accurate risk prediction model can not only safeguard the… Read full abstract & cite →

Risk management Kepler optimization algorithm Convolutional Neural Network Internet enterprises

Abstract doi.org/10.14569/IJACSA.2024.0150720 PDF

21

Advancing Urban Infrastructure Safety: Modern Research in Deep Learning for Manhole Situation Supervision Through Drone Imaging and Geographic Information System Integration

Author 1: Ayoub Oulahyane Author 2: Mohcine Kodad

This paper research introduces a cutting-edge approach to enhancing urban infrastructure safety through the integration of modern technologies. Leveraging state of the art deep learning techniques, specifically the recent object detection models, with a focus on YOLOv8, we propose a system for supervising and detecting manhole situations using drone imagery… Read full abstract & cite →

Urban infrastructure safety object detection Deep Learning (DL) UAV (Drones) Computer Vision (CV)

Abstract doi.org/10.14569/IJACSA.2024.0150721 PDF

22

Differential Privacy Federated Learning: A Comprehensive Review

Author 1: Fangfang Shan Author 2: Shiqi Mao Author 3: Yanlong Lu Author 4: Shuaifeng Li

Federated Learning (FL) has received a lot of attention lately when it comes to protecting data privacy, especially in industries with sensitive data like healthcare, banking, and the Internet of Things (IoT). However, although FL protects privacy by not sharing raw data, the information transfer during its model update process… Read full abstract & cite →

Federated learning differential privacy privacy protection gradient clipping

Abstract doi.org/10.14569/IJACSA.2024.0150722 PDF

23

Predictive Modeling of Student Performance Using RFECV-RF for Feature Selection and Machine Learning Techniques

Author 1: Abdellatif HARIF Author 2: Moulay Abdellah KASSIMI

Predicting student performance has become a strategic challenge for universities, essential for increasing student success rates, retention, and tackling dropout rates. However, the large volume of educational data complicates this task. Therefore, many research projects have focused on using Machine Learning techniques to predict student success. This study aims to… Read full abstract & cite →

Student performance prediction Recursive Feature Elimination (RFE) cross-validation Random Forest (RF) feature selection IBN ZOHR University

Abstract doi.org/10.14569/IJACSA.2024.0150723 PDF

24

A Novel and Refined Contactless User Feedback System for Immediate On-Site Response Collection

Author 1: Harold Harrison Author 2: Mazlina Mamat Author 3: Farrah Wong Author 4: Hoe Tung Yew

This paper introduces a Contactless User Feedback System (CUFS) that provides an innovative solution for capturing user feedback through hand gestures. It comprises a User Feedback Device (UFD), a mobile application, and a cloud database. The CUFS operates through a structured sequence, guiding users through a series of questions displayed… Read full abstract & cite →

Contactless human-computer interaction Internet of Things machine learning

Abstract doi.org/10.14569/IJACSA.2024.0150724 PDF

25

A Facial Expression Recognition Method Based on Improved VGG19 Model

Author 1: Lihua Bi Author 2: Shenbo Tang Author 3: Canlin Li

With the increasing demand for human-computer interaction and the development of emotional computing technology, facial expression recognition has become a major focus in research. In this paper, an improved VGG19 network model is proposed by involving enhancement strategies, and the facial expression recognition process with the improved VGG19 model is… Read full abstract & cite →

Facial expression recognition deep learning VGG19 model

Abstract doi.org/10.14569/IJACSA.2024.0150725 PDF

26

Application of Optimizing Multifactor Correction in Fatigue Life Prediction and Reliability Evaluation of Structural Components

Author 1: Yi Zhang

Multi factor correction is optimized for fatigue life prediction and reliability evaluation of structural components. Based on the optimization of Bayesian theory, reliability evaluation is carried out to improve the efficiency of fatigue life prediction and reliability evaluation of structural components. The research results indicate that the crack propagation length… Read full abstract & cite →

Multi factor bayesian theory correction structural components fatigue life reliability Bayesian theory

Abstract doi.org/10.14569/IJACSA.2024.0150726 PDF

27

Recent Advances in Medical Image Classification

Author 1: Loan Dao Author 2: Ngoc Quoc Ly

Medical image classification is crucial for diagnosis and treatment, benefiting significantly from advancements in artificial intelligence. The paper reviews recent progress in the field, focusing on three levels of solutions: basic, specific, and applied. It highlights advances in traditional methods using deep learning models like Convolutional Neural Networks and Vision… Read full abstract & cite →

Medical Image Classification (MIC) Artificial Intelligence (AI) Vision Transformer (ViT) Vision-Language Model (VLM) eXplainable AI (XAI)

Abstract doi.org/10.14569/IJACSA.2024.0150727 PDF

28

Revolutionizing Esophageal Cancer Diagnosis: A Deep Learning-Based Method in Endoscopic Images

Author 1: Shincy P Kunjumon Author 2: S Felix Stephen

Esophageal cancer (EC) is a severe and commonly increasing disease due to the uncontrolled growth in the esophagus. It is the sixth leading cause of cancer-related deaths worldwide. The traditional methods for the diagnosis of EC are not only time-consuming but also suffer from inconsistencies due to human factors such… Read full abstract & cite →

Deep learning esophagus cancer transfer learning endoscopic images inception ResNet V2 fine tuning

Abstract doi.org/10.14569/IJACSA.2024.0150728 PDF

29

A Blockchain Framework for Academic Certificates Authentication

Author 1: Ruqaya Abdelmagid Author 2: Mohamed Abdelsalam Author 3: Fahad Kamal Alsheref

This paper proposes a framework to solve academic certificate fraud by implementing a blockchain network. A permission Hyperledger Fabric network is deployed to store students’ information and allows the proper access to guarantee the system's security. The paper discusses several studies that introduce variants of solutions for the academic certification… Read full abstract & cite →

Academic certificates tampering security blockchain Hyperledger Fabric Ethereum channels nodes peers Chaincode

Abstract doi.org/10.14569/IJACSA.2024.0150729 PDF

30

DGA Domain Name Detection and Classification Using Deep Learning Models

Author 1: Ranjana B Nadagoudar Author 2: M Ramakrishna

In today's cyber environment, modern botnets and malware are increasingly employing domain generation mechanisms to circumvent conventional detection solutions reliant on blacklisting or statistical methods for malicious domains. These outdated methods prove inadequate against algorithmically generated domain names, presenting significant challenges for cyber security. Domain Generation Algorithms (DGAs) have become… Read full abstract & cite →

Botnet cyber security Domain Generation Algorithms (DGAs) gated recurrent unit Domain Name System (DNS)

Abstract doi.org/10.14569/IJACSA.2024.0150730 PDF

31

Oversampling Social Media-Sourced Image Datasets for Better Deep Learning Classification of Natural Disaster Damage Levels

Author 1: Nicholas Lau Kheng Seng Author 2: Goh Wei Wei Author 3: Tan Ee Xion

People in areas affected by natural disasters and use social media websites such as Facebook, Twitter (also known as “X”) and Instagram tend to post images of damage to their surroundings. These social media sites have become vital sources of immediate and highly available data for providing situational awareness and… Read full abstract & cite →

Deep learning image processing oversampling image data augmentation

Abstract doi.org/10.14569/IJACSA.2024.0150731 PDF

32

Large-Scale Image Indexing and Retrieval Methods: A PRISMA-Based Review

Author 1: Abdelkrim Saouabe Author 2: Said Tkatek Author 3: Hicham Oualla Author 4: Carlos SOSA Henriquez

Large-scale image indexing and retrieval are pivotal in artificial intelligence, especially within computer vision, for efficiently organizing and accessing extensive image databases. This systematic literature review employs the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology to thoroughly analyze and synthesise the current research landscape in this domain… Read full abstract & cite →

Image indexing image retrieval similarity PRISMA computer vision

Abstract doi.org/10.14569/IJACSA.2024.0150732 PDF

33

Semi-Supervised Clustering Algorithms Through Active Constraints

Author 1: Abdulwahab Ali Almazroi Author 2: Walid Atwa

Pairwise constraints improve clustering performance in constraint-based clustering issues, especially since they are applicable. However, randomly choosing these constraints may be adverse and minimize accuracy. To address the problem of random choosing pairwise constraints, an active learning method is used to identify the most informative constraints, which are then selected… Read full abstract & cite →

Semi-supervised pairwise constraints affinity propagation active learning

Abstract doi.org/10.14569/IJACSA.2024.0150733 PDF

34

Using Deep Learning on Retinal Images to Classify the Severity of Diabetic Retinopathy

Author 1: Shereen A. El-aal Author 2: Rania Salah El-Sayed Author 3: Abdulellah Abdullah Alsulaiman Author 4: Mohammed Abdel Razek

Diabetic retinopathy (DR) is a leading cause of blindness worldwide, particularly among working-age individuals. With the increasing prevalence of diabetes, there is an urgent need to address the public health burden posed by DR. This research paper aims to develop a clinical decision support approach that integrates automated DR detection… Read full abstract & cite →

Deep learning diabetic retinopathy (DR) Gaussian Blur Filter support vector machine (SVM) color space performance evaluations

Abstract doi.org/10.14569/IJACSA.2024.0150734 PDF

35

An Efficient and Secure Access Authorization Policy for Cloud Storage Resources Based on Fuzzy Searchable Encryption

Author 1: Jun Fu

When fuzzy searchable encrypted cloud storage resources are available, keywords are allowed to have a certain range of changes. Even if there are slight differences in the spelling, word order, or spacing between words, the correct data can be matched. Therefore, it does not have the effect of fine-grained access… Read full abstract & cite →

Fuzzy search encryption cloud storage security access CP-ABE (Ciphertext-Policy Attribute-Based Encryption) access control authorization policy

Abstract doi.org/10.14569/IJACSA.2024.0150735 PDF

36

Comparison of Different Models for Traffic Signs Under Weather Conditions Using Image Detection and Classification

Author 1: Amal Alshahrani Author 2: Leen Alshrif Author 3: Fatima Bajawi Author 4: Razan Alqarni Author 5: Reem Alharthi Author 6: Haneen Alkurbi

This study focuses on enhancing the accuracy of traffic sign detection systems for self-driving. With the increasing proliferation of autonomous vehicles, reliable detection and interpretation of traffic signs is crucial for road safety and efficiency. The primary goal of this research was to improve the performance of traffic sign detection… Read full abstract & cite →

Traffic signs detection classification YOLO VGG16

Abstract doi.org/10.14569/IJACSA.2024.0150736 PDF

37

Ensemble IDO Method for Outlier Detection and N2O Emission Prediction in Agriculture

Author 1: Ahmad Rofiqul Muslikh Author 2: Pulung Nurtantio Andono Author 3: Aris Marjuni Author 4: Heru Agus Santoso

Nitrous oxide (N2O) emissions from agricultural activities significantly contribute to climate change, necessitating accurate predictive models to inform mitigation strategies. This study proposes an ensemble framework combining Isolation Forest, DBSCAN, and One-Class SVM to enhance outlier detection in N2O emission datasets. The dataset, consisting of 2,246 rows and 21 columns… Read full abstract & cite →

Ensemble framework outlier detection N2O emission isolation forest DBSCAN one-class SVM

Abstract doi.org/10.14569/IJACSA.2024.0150737 PDF

38

Fire Evacuation Path Planning Based on Improved MADDPG (Multi-Agent Deep Deterministic Policy Gradient) Algorithm

Author 1: Qiong Huang Author 2: Ying Si Author 3: Haoyu Wang

The lack of a scientific and reasonable optimal evacuation path planning scheme is one of the main causes of casualties in fire accidents. In addition to the high temperature and harmful smoke in the fire environment, the crowding problem caused by the change of the position of the crowd in… Read full abstract & cite →

Fire evacuation path congestion degree dangerous grid multi-agent Multi-Agent Deep Deterministic Policy Gradient

Abstract doi.org/10.14569/IJACSA.2024.0150738 PDF

39

Students’ Perceptions of Its Usefulness and Ease of Use on Learning Management System

Author 1: Linda Khoo Mei Sui Author 2: Nurlisa Loke Abdullah Author 3: Subatira Balakrishnan Author 4: Wan Sofiah Meor Osman

The importance of the Learning Management System (LMS) has been discussed over recent years as it is crucial for students to manage this tool for their learning. The study's objective was to ascertain whether learners believe the LMS satisfies their learning goals and to bridge the gap between the growing… Read full abstract & cite →

Learning management system perceptions usefulness ease of use

Abstract doi.org/10.14569/IJACSA.2024.0150739 PDF

40

A Multi-Reading Habits Fusion Adversarial Network for Multi-Modal Fake News Detection

Author 1: Bofan Wang Author 2: Shenwu Zhang

Existing multimodal fake news detection methods face three challenges: the lack of extraction for implicit shared features, shallow integration of multimodal features, and insufficient at-tention to the inconsistency of features across different modali-ties. To address these challenges, a multi-reading habits fusion adversarial network for multimodal fake news detection is pro-posed… Read full abstract & cite →

Multimodal fake news detection feature extraction feature fu-sion consistency alignment

Abstract doi.org/10.14569/IJACSA.2024.0150740 PDF

41

Comparison of Resnet Models in UNet Classifier for Mapping Oil Palm Plantation Area with Semantic Segmentation Approach

Author 1: Fepri Putra Panghurian Author 2: Hady Pranoto Author 3: Edy Irwansyah Author 4: Fabian Surya Pramudya

In 2023, Indonesia experienced an increase Industrial oil palm plantations grew by 116,000 hectares in 2023, an increase of 54% from the previous year. Oil palm is one of the main agricultural commodities in Indonesia, with a significant contribution to the national economy. However, manually mapping and monitoring oil palm… Read full abstract & cite →

Deep learning UNet ResNet oil palm semantic segmentation

Abstract doi.org/10.14569/IJACSA.2024.0150741 PDF

42

Enhancing Customer Experience Through Arabic Aspect-Based Sentiment Analysis of Saudi Reviews

Author 1: Razan Alrefae Author 2: Revan Alqahmi Author 3: Munirah Alduraibi Author 4: Shatha Almatrafi Author 5: Asmaa Alayed

Big brands thrive in today's competitive marketplace by focusing on customer experience through product reviews. Manual analysis of these reviews is labor-intensive, necessitating automated solutions. This paper conducts aspect-based sentiment analysis on Saudi dialect product reviews using machine learning and NLP techniques. Addressing the lack of datasets, we create a… Read full abstract & cite →

Customer experience Arabic natural language processing sentiment analysis Arabic Aspect-Based Sentiment Analysis online reviews review analytic e-commerce business owners

Abstract doi.org/10.14569/IJACSA.2024.0150742 PDF

43

A Comprehensive Study on Crude Oil Price Forecasting in Morocco Using Advanced Machine Learning and Ensemble Methods

Author 1: Hicham BOUSSATTA Author 2: Marouane CHIHAB Author 3: Younes CHIHAB

This study employs a range of machine learning models to forecast crude oil prices in Morocco, including Linear Regression, Random Forest, Support Vector Regression (SVR), XGBoost, ARIMA, Prophet and Gradient Boosting. Among these, SVR demonstrated the highest accuracy with an RMSE of 1.414. Additionally, the ARIMA and Prophet models were… Read full abstract & cite →

Crude oil prices machine learning ensemble model economic forecasts energy sector

Abstract doi.org/10.14569/IJACSA.2024.0150743 PDF

44

Children's Expression Recognition Based on Multi-Scale Asymmetric Convolutional Neural Network

Author 1: Pengfei Wang Author 2: Xiugang Gong Author 3: Qun Guo Author 4: Guangjie Chang Author 5: Fuxiang Du

This paper proposes a multi-scale asymmetric convolutional neural network (MACNN), specifically designed to tackle the challenges encountered by traditional convolutional neural networks in the realm of children's facial expression recognition. MACNN addresses problems like low accuracy from facial expression changes, poor generalization across datasets, and inefficiency in traditional convolution operations… Read full abstract & cite →

Children's expression recognition convolutional neural network multi-scale asymmetric convolutional neural network asymmetric convolutional layers

Abstract doi.org/10.14569/IJACSA.2024.0150744 PDF

45

Reinforcement Learning Driven Self-Adaptation in Hypervisor-Based Cloud Intrusion Detection Systems (RLDAC-IDS)

Author 1: Alaa A. Qaffas

With the rise in cloud adoption, securing dynamic virtual environments remains a significant challenge. While traditional Intrusion Detection Systems (IDS) have attempted to address security concerns in the cloud mostly through static detection rules and without adaptation capabilities to identify new attack vectors, a self-optimizing framework called Reinforcement Learning-Driven Self-Adaptation… Read full abstract & cite →

Cloud security intrusion detection system adaptive framework hypervisor-based IDS self-adaptation emerging threat detection reinforcement learning behavioral analysis cloud computing intelligent intrusion detection

Abstract doi.org/10.14569/IJACSA.2024.0150745 PDF

46

Adaptive Language-Interacted Hyper-Modality Representation for Multimodal Sentiment Analysis

Author 1: Lei Pan Author 2: WenLong Liu

In an attempt to mitigate the problem of neglecting unimodal information and incorporating emotionally unrelated data during the fusion process of multimodal representation, this study presents an adaptive language interaction representation (Adaptive Language-interacted Representation, ALR) model in this study. Initially, the unimodal representation module is utilized to obtain a minimal… Read full abstract & cite →

Multimodal multimodal fusion sentiment analysis adaptive language-interacted

Abstract doi.org/10.14569/IJACSA.2024.0150746 PDF

47

Q-learning Guided Grey Wolf Optimizer for UAV 3D Path Planning

Author 1: Binbin Tu Author 2: Fei Wang Author 3: Xiaowei Han Author 4: Xibei Fu

Path planning is a critical component of autonomous unmanned aerial vehicle (UAV) navigation systems, yet traditional and sampling-based methods encounter limitations in three-dimensional (3D) path planning. This paper offers a structured review of applicable algorithms in 3D space, introduces the state-of-the-art techniques, and addresses cutting-edge challenges associated with UAV heuristic… Read full abstract & cite →

Q-learning grey wolf optimizer laplace crossover 3D path planning optimization

Abstract doi.org/10.14569/IJACSA.2024.0150747 PDF

48

Security Enhanced Edge Computing Task Scheduling Method Based on Blockchain and Task Cache

Author 1: Cong Li

Aiming at edge computing nodes' limited computing and storage capacity, a two-layer task scheduling model based on blockchain and task cache was proposed. The high-similarity task results were cached in the edge cache pool, and the blockchain-assisted task caching model was combined to enhance system security. The genetic evolution algorithm… Read full abstract & cite →

Blockchain task cache edge computing task scheduling industrial internet

Abstract doi.org/10.14569/IJACSA.2024.0150748 PDF

49

Advanced Fusion of 3D U-Net-LSTM Models for Accurate Brain Tumor Segmentation

Author 1: Ravikumar Sajjanar Author 2: Umesh D. Dixit

Accurate detection and segmentation of brain tumors are essential in tomography for effective diagnosis and treatment planning. This study presents advancements in 3D segmentation techniques using data from the Kaggle BRATS 2020 dataset. To enhance the reliability of brain tumor diagnosis, innovative approaches such as Frost filter-based preprocessing, UNet segmentation… Read full abstract & cite →

Brain tumor segmentation frost filter pre-processing UNet architecture LSTM kaggle BRATS 2020 dataset

Abstract doi.org/10.14569/IJACSA.2024.0150749 PDF

50

Deployment of Secure Data Parameters Between Stock Inverters and Interfaces Using Command-Contamination-Stealth Management System

Author 1: Santosh Kumar Henge Author 2: Sanjeev Kumar Mandal Author 3: Ameya Madhukar Rane Author 4: Megha Sharma Author 5: Ravleen Singh Author 6: S Anka Siva Phani Kumar Author 7: Anusha Marouthu

The security issues more impact on stock data which allows the stockholders (SHs) and stock-inverters (SIs) to predict and invert false assets and stock values. Because of the security flaws and threads that let an attacker take over network devices, the attacker uses the system to attack another system. These… Read full abstract & cite →

Robot-network (BOTNET) Module Management (MM) Role Management (RM) Detection Conceal and Prevention (DoCP) LAN-WAN-LAN transmission (LWL-T) Remote Level Command Executions (RLCE) Distributed Denial-of-Service (DDoS)

Abstract doi.org/10.14569/IJACSA.2024.0150750 PDF

51

Compliance Framework for Personal Data Protection Law Standards

Author 1: Norah Nasser Alkhamsi Author 2: Sultan Saud Alqahtani

Personal data protection laws are crucial for protecting individual privacy in a data-driven world. To this end, the Kingdom of Saudi Arabia has published the Personal Data Protection Law (PDPL), which aims to empower individuals to manage and control their personal information more securely and effectively. However, data management ecosystems… Read full abstract & cite →

Personal data protection law (PDPL) framework data management data protection privacy policy

Abstract doi.org/10.14569/IJACSA.2024.0150751 PDF

52

Novel Cognitive Assisted Adaptive Frame Selection for Continuous Sign Language Recognition in Videos Using ConvLSTM

Author 1: Priyanka Ganesan Author 2: Senthil Kumar Jagatheesaperumal Author 3: Matheshkumar P Author 4: Silvia Gaftandzhieva Author 5: Rositsa Doneva

People with a hearing impairment commonly use sign language for communication, however, they find it challenging to communicate with a normal person who does not recognise the sign language. They normally require an intermediary human to act as a translator for convenient means of expressing their thoughts. To address this… Read full abstract & cite →

ConvLSTM GRU keyframes LSTM sequential learning sign language recognition

Abstract doi.org/10.14569/IJACSA.2024.0150752 PDF

53

Microarray Gene Expression Dataset Feature Selection and Classification with Swarm Optimization to Diagnosis Diseases

Author 1: Peddarapu Rama Krishna Author 2: Pothuraju Rajarajeswari

Bioinformatic data concentrated on the accumulation of data pace in the undesired information. Bioinformatics data has vast data-intensive biological information through the computation of data. However, bioinformatics data utilizes statistical methods with gene expression for cancer diagnosis and prognosis. Microarray data provides rough approximations for gene expression analysis. Microarray dataset… Read full abstract & cite →

Feature Selection classification gene expression data Microarray RRP_SW hybrid feature selection

Abstract doi.org/10.14569/IJACSA.2024.0150753 PDF

54

Hidden Markov Model for Cardholder Purchasing Pattern Prediction

Author 1: Okoth Jeremiah Otieno Author 2: Michael Kimwele Author 3: Kennedy Ogada

This study utilizes the Hidden Markov Model to predict cardholder purchasing patterns by monitoring card transaction trends and profiling cardholders based on dominant transactional motivations across four merchant sectors, i.e., service centers, social joints, restaurants, and health facilities. The research addresses shortfalls with existing studies which often disregard credit, prepaid… Read full abstract & cite →

Hidden Markov Model cardholder transaction patterns merchant categories predictive algorithms

Abstract doi.org/10.14569/IJACSA.2024.0150754 PDF

55

Comparative Analysis of Naïve Bayes Classifier, Support Vector Machine and Decision Tree in Rainfall Classification Using Confusion Matrix

Author 1: Elvira Vidya Berliana Author 2: Mardhani Riasetiawan

The climate in Indonesia is sometimes unstable to this day. This unstable climate change will cause difficulties in predicting rainfall conditions. With unstable climate change, an algorithm is needed that helps the public predict rainfall conditions using rainfall, temperature and humidity parameters. The research process uses daily climate data from… Read full abstract & cite →

Naïve Bayes Classifier (NBC) Support Vector Machine (SVM) decision tree confusion matrix classification rainfall temperature humidity

Abstract doi.org/10.14569/IJACSA.2024.0150755 PDF

56

Calibrating Hand Gesture Recognition for Stroke Rehabilitation Internet-of-Things (RIOT) Using MediaPipe in Smart Healthcare Systems

Author 1: Ahmad Anwar Zainuddin Author 2: Nurul Hanis Mohd Dhuzuki Author 3: Asmarani Ahmad Puzi Author 4: Mohd Naqiuddin Johar Author 5: Maslina Yazid

Stroke rehabilitation is fraught with challenges, particularly regarding patient mobility, imprecise assessment scoring during the therapy session, and the security of healthcare data shared online. This work aims to address these issues by calibrating hand gesture recognition systems using the Rehabilitation Internet-of-Things (RIOT) framework and examining the effectiveness of machine… Read full abstract & cite →

Internet-of-Things (IoT) RIOT stroke rehabilitation calibration machine learning MediaPipe data security smart healthcare

Abstract doi.org/10.14569/IJACSA.2024.0150756 PDF

57

Analysis of Learning Algorithms for Predicting Carbon Emissions of Light-Duty Vehicles

Author 1: Rashmi B. Kale Author 2: Nuzhat Faiz Shaikh

This research presents a comparative analysis of different learning methods developed for the prediction of carbon emissions from light-duty vehicles. With the growing concern over environmental sustainability, accurate prediction of carbon emissions is vital for developing effective mitigation strategies. The work assesses the performance of various algorithms trained on vehicle-specific… Read full abstract & cite →

Carbon emission machine learning algorithms CariQ carbon emission dataset An Air Quality Index (AQI)

Abstract doi.org/10.14569/IJACSA.2024.0150757 PDF

58

Metaheuristic Optimization for Dynamic Task Scheduling in Cloud Computing Environments

Author 1: Longyang Du Author 2: Qingxuan Wang

Cloud computing enables the sharing of resources across the Internet in a highly adaptable and quantifiable way. This technology allows users to access customizable distributed resources and offers various services for resource allocation, scientific operations, and service computing via virtualization. Effectively allocating tasks to available resources is essential to providing… Read full abstract & cite →

Dynamic task scheduling cloud computing metaheuristic optimization load balancing task allocation resource utilization

Abstract doi.org/10.14569/IJACSA.2024.0150758 PDF

59

Edge Computing for Real-Time Decision Making in Autonomous Driving: Review of Challenges, Solutions, and Future Trends

Author 1: Jihong XIE Author 2: Xiang ZHOU Author 3: Lu CHENG

In the coming half-century, autonomous vehicles will share the roads alongside manually operated automobiles, leading to ongoing interactions between the two categories of vehicles. The advancement of autonomous driving systems has raised the importance of real-time decision-making abilities. Edge computing plays a crucial role in satisfying this requirement by bringing… Read full abstract & cite →

Edge computing autonomous driving real-time decision-making reliability resource management

Abstract doi.org/10.14569/IJACSA.2024.0150759 PDF

60

Group Non-Critical Behavior Recognition Based on Joint Attention Mechanism of Sensor Data and Semantic Domain

Author 1: Chen Li Author 2: Baoluo Liu

As science and technology continue to advance, sensor technology is being used in more and more industries. However, traditional methods have the problem of ignoring the semantic information of individual behavior and the correlation between individuals and groups. Based on this, the study proposes a new method for group behavior… Read full abstract & cite →

Sensor data attention mechanisms semantic domains non-critical group behavior

Abstract doi.org/10.14569/IJACSA.2024.0150760 PDF

61

Quantum Cryptology in the Big Data Security Era

Author 1: Chaymae Majdoubi Author 2: Saida El Mendili Author 3: Youssef Gahi

Quantum cryptography, based on the principles of quantum mechanics, has emerged as a cutting-edge domain for cryptographic applications. A prime example is quantum key distribution, offering a theoretically secure information solution to the key exchange challenge. The inherent strength of quantum cryptography lies in its ability to accomplish cryptographic tasks… Read full abstract & cite →

Data security quantum cryptology big data cryptography

Abstract doi.org/10.14569/IJACSA.2024.0150761 PDF

62

Design and Development of a Unified Query Platform as Middleware for NoSQL Data Stores

Author 1: Hadwin Valentine Author 2: Boniface Kabaso

The advancements in technology such as Web 2.0, 3.0, mobile devices and recently IoT devices has given rise to a massive amount of structured, semi-structure and unstructured datasets, i.e. big data. The increasing complexity and diversity of data sources poses significant challenges for stakeholders when extracting meaningful insights. This paper… Read full abstract & cite →

Unified query polyglot NoSQL middleware query processing big data

Abstract doi.org/10.14569/IJACSA.2024.0150762 PDF

63

Underwater Quality Enhancement Based on Mixture Contrast Limited Adaptive Histogram and Multiscale Fusion

Author 1: Septa Cahyani Author 2: Anny Kartika Sari Author 3: Agus Harjoko

This paper presents a novel approach for enhancing the visual quality of underwater images using various spatial processing techniques. This research addresses the common issues encountered in underwater imaging, such as color distortion, low clarity, low contrast, bluish or greenish tints caused by light scattering and absorption, and the presence… Read full abstract & cite →

CLAHE Color space enhancement luminance sharpening

Abstract doi.org/10.14569/IJACSA.2024.0150763 PDF

64

A Predictive Model for Software Cost Estimation Using ARIMA Algorithm

Author 1: Moatasem M. Draz Author 2: Osama Emam Author 3: Safaa M. Azzam

Technology is a differentiator in business today. It plays a different and decisive role by providing programs that contribute to this. To build this software while avoiding risks during the implementation and construction process, it is necessary to estimate the cost. The cost estimation process is the process of estimating… Read full abstract & cite →

Software cost estimation software effort estimation promise repository SCE ARIMA

Abstract doi.org/10.14569/IJACSA.2024.0150764 PDF

65

Defense Mechanisms for Vehicular Networks: Deep Learning Approaches for Detecting DDoS Attacks

Author 1: Lekshmi V Author 2: R. Suji Pramila Author 3: Tibbie Pon Symon V A

Vehicular Ad-hoc Networks (VANETs) are engineered to meet the distinctive demands of vehicular communication, facilitating interactions between vehicles and roadside infrastructure to enhance road safety, traffic efficiency, and diverse applications such as traffic management and infotainment services. However, the looming threat of Distributed Denial of Service (DDoS) attacks in VANETs… Read full abstract & cite →

Vehicular Ad-hoc Networks Denial of Service attacks deep learning auto encoder Long Short-Term Memory self-attention mechanism cyber threats network reliability

Abstract doi.org/10.14569/IJACSA.2024.0150765 PDF

66

Towards Dimension Reduction: A Balanced Relative Discrimination Feature Ranking Technique for Efficient Text Classification (BRDC)

Author 1: Muhammad Nasir Author 2: Noor Azah Samsudin Author 3: Wareesa Sharif Author 4: Souad Baowidan Author 5: Dr. Humaira Arshad Author 6: Muhammad Faheem Mushtaq

The volume and complexity of textual data have significantly increased worldwide, demanding a comprehensive understanding of machine learning techniques for accurate text classification in various applications. In recent years, there has been significant growth in natural language processing (NLP) and neural networks (NNs). Deep learning (DL) models have outperformed classical… Read full abstract & cite →

Text classification balanced relative discrimination criterion dimension reduction feature ranking deep learning machine learning

Abstract doi.org/10.14569/IJACSA.2024.0150766 PDF

67

Reading Recommendation Technology in Digital Libraries Based on Readers' Social Relationships and Readers' Interests

Author 1: Weiying Zheng

In recent years, the construction of digital libraries has contributed to the advancement of smart lending services. The challenge of suggesting appropriate books for readers from a vast collection of books remains a primary obstacle in the current construction of digital libraries. A fusion method for recommending content to readers… Read full abstract & cite →

Digital library recommend behavioral characteristics interest attention mechanism

Abstract doi.org/10.14569/IJACSA.2024.0150767 PDF

68

A Computer Vision-Based Pill Recognition Application: Bridging Gaps in Medication Understanding for the Elderly

Author 1: Taif Alahmadi Author 2: Rana Alsaedi Author 3: Ameera Alfadli Author 4: Ohoud Alzubaidi Author 5: Afnan Aldhahri

Identifying prescribed medication accurately remains a challenge for many people, particularly older individuals who may experience medication errors due to impaired vision, lack of English proficiency, or other disabilities. This problem is more prevalent in healthcare settings where pills are often distributed in strips rather than in traditional packaging, increasing… Read full abstract & cite →

Pill detection seniors computer vision artificial intelligence

Abstract doi.org/10.14569/IJACSA.2024.0150768 PDF

69

Educational Enhancement Through Augmented Reality Simulation: A Bibliometric Analysis

Author 1: Zuhaili Mohd Arshad Author 2: Mohamed Nor Azhari Azman Author 3: Olzhas Kenzhaliyev Author 4: Farid R. Kassimov

Augmented Reality (AR) has become a key technology in the education sector, offering interactive learning experiences that improve student engagement and understanding. Despite its increasing use, a thorough summary of AR research in educational environments is still required. This study applies bibliometric analysis to identify trends in this research field… Read full abstract & cite →

Augmented reality simulation learning education

Abstract doi.org/10.14569/IJACSA.2024.0150769 PDF

70

Precision Construction of Salary Prediction System Based on Deep Neural Network

Author 1: Yuping Wang Author 2: MingYan Bai Author 3: Changjiang Liao

Currently, most recruitment websites use keyword search or job nature classification to filter the salary information that job seekers are most concerned about. Job seekers need to spend much time and effort to understand the salary range of their desired position. In order to help job seekers quickly and accurately… Read full abstract & cite →

Deep neural network Adam salary prediction system

Abstract doi.org/10.14569/IJACSA.2024.0150770 PDF

71

Development and Research of a Method for Multi-Level Protection of Transmitted Information in IP Networks Based on Asterisk IP PBX Using Various Codecs

Author 1: Mubarak Yakubova Author 2: Tansaule Serikov Author 3: Olga Manankova

Research indicates that the utilization of existing symmetric and asymmetric cryptosystems, as well as steganography, fails to ensure the requisite security and reliability in IP networks, where IP PBX Asterisk assumes the role of information transmission facilitator through switching processes. Consequently, this publication undertakes the development and investigation of a… Read full abstract & cite →

Asterisk PBX IP telephony systems codecs data security Python

Abstract doi.org/10.14569/IJACSA.2024.0150771 PDF

72

Unmanned Aerial Vehicles Following Photography Path Planning Technology Based on Kinematic and Adaptive Models

Author 1: Sa Xiao

As a representative invention of modern intelligent technology, unmanned aerial vehicles are receiving more and more attention in various fields. However, unmanned aerial vehicles cannot autonomously track path planning based on dynamic changes in conventional path planning. To address the aforementioned issues, this study proposes a path-planning algorithm for unmanned… Read full abstract & cite →

Kinematic model adaptive control unmanned aerial vehicles path planning follow photography

Abstract doi.org/10.14569/IJACSA.2024.0150772 PDF

73

Decoding Visual Question Answering Methodologies: Unveiling Applications in Multimodal Learning Frameworks

Author 1: Y Harika Devi Author 2: G Ramu

This research investigates the intricacies of Visual Question Answering (VQA) methodologies and their applications within Multimodal Learning Frameworks. Our approach, founded on the synergy of Multimodal Compact Bilinear Pooling (MCB) and Neural Module Networks (NMN), offers a comprehensive understanding of visual and textual elements. Notably, the model excels in responding… Read full abstract & cite →

Visual Question Answering (VQA) Multimodal Learning Neural Module Networks (NMN) Multimodal Compact Bilinear Pooling (MCB) question types F1 score

Abstract doi.org/10.14569/IJACSA.2024.0150773 PDF

74

Effective Feature Extraction Using Residual Attention and Local Context Aware Classifier for Crop Yield Prediction

Author 1: Vinaykumar Vajjanakurike Nagaraju Author 2: Ananda Babu Jayachandra Author 3: Balaji Prabhu Baluvaneralu Veeranna Author 4: Ravi Prakash Madenur Lingaraju

Crop yield forecasting plays a key role in agricultural management and planning which is highly essential for food security and production in regional to global scales. However, a prediction of crop yield is considered a challenging task due to the difficulty in extracting spatial context and local semantic features, and… Read full abstract & cite →

Convolutional long short term memory crop yield prediction residual attention and local context-aware network root mean squared error spatial context data

Abstract doi.org/10.14569/IJACSA.2024.0150774 PDF

75

Business Insights into the Internet of Things: User Experiences and Organizational Strategies

Author 1: Yang WEI

The Internet of Things (IoT) has revolutionized business operations across industries by integrating physical devices into digital networks. This study discusses the extensive business literature, particularly the impact of IoT from the perspective of users and organizations. This paper provides a comprehensive analysis of the effects, challenges, and opportunities of… Read full abstract & cite →

Internet of Things business literature user perspectives organizational impact adoption trends data-driven strategies

Abstract doi.org/10.14569/IJACSA.2024.0150775 PDF

76

SocialBullyAlert: A Web Application for Cyberbullying Detection on Minors' Social Media

Author 1: Elizabeth Adriana Nina-Gutiérrez Author 2: Jesús Emerson Pacheco-Alanya Author 3: Juan Carlos Morales-Arevalo

The severe problem of cyberbullying towards minors is addressed, which has been shown to have significant impacts on the mental and emotional health of children and adolescents. Subsequently, the effectiveness of existing artificial intelligence models and neural networks in detecting cyberbullying on social media is analyzed. In response, a web… Read full abstract & cite →

Cyberbullying artificial intelligence (AI) neural networks parental control social media offensive content detection User Experience (UX) User Interface (UI) mental health

Abstract doi.org/10.14569/IJACSA.2024.0150776 PDF

77

Explainable Artificial Intelligence for Urban Planning: Challenges, Solutions, and Future Trends from a New Perspective

Author 1: Shan TONG Author 2: Shaokang LI

Integrating Artificial Intelligence (AI) into urban planning transforms resource allocation and sustainable development. Nevertheless, the lack of transparency in some AI models raises questions about accountability and public trust. This paper investigates the role of Explainable AI (XAI) in urban planning, focusing on its ability to improve transparency and build… Read full abstract & cite →

Explainable artificial intelligence urban planning rule-based systems machine learning

Abstract doi.org/10.14569/IJACSA.2024.0150777 PDF

78

Enhanced Harris Hawks Optimization Algorithm for SLA-Aware Task Scheduling in Cloud Computing

Author 1: Junhua Liu Author 2: Chaoyang Lei Author 3: Gen Yin

Cloud computing has revolutionized how Software as a Service (SaaS) suppliers deliver applications by leasing shareable resources from Infrastructure as a Service (IaaS) suppliers. However, meeting users' Quality of Service (QoS) parameters while maximizing profits from the cloud infrastructure presents a significant challenge. This study addresses this challenge by proposing… Read full abstract & cite →

Cloud computing scheduling optimization SLA SaaS

Abstract doi.org/10.14569/IJACSA.2024.0150778 PDF

79

Optimization of a Hybrid Renewable Energy System Based on Meta-Heuristic Optimization Algorithms

Author 1: Ramia Ouederni Author 2: Bechir Bouaziz Author 3: Faouzi Bacha

Islands represent strategic platforms for exploring and exploiting marine resources. This article presents a hybrid renewable electric system (HRES) designed to power the island communities of Djerba in Tunisia. The system integrates photovoltaic panels, wind turbines, tidal turbines, hydraulic systems, biomass, and batteries, taking into account available climatic and land… Read full abstract & cite →

Hybrid renewable energy system techno-economic optimzation optimal sizing MOPSO SSO

Abstract doi.org/10.14569/IJACSA.2024.0150779 PDF

80

Pilot Study on Consumer Preference, Intentions and Trust on Purchasing-Pattern for Online Virtual Shops

Author 1: Sebastina Nkechi Okofu Author 2: Kizito Eluemunor Anazia Author 3: Maureen Ifeanyi Akazue Author 4: Margaret Dumebi Okpor Author 5: Amanda Enadona Oweimieto Author 6: Clive Ebomagune Asuai Author 7: Geoffrey Augustine Nwokolo Author 8: Arnold Adimabua Ojugo Author 9: Emmanuel Obiajulu Ojei

User behaviour about an item is a choice predicated on their perception of the item in order to satisfy the intent of such a purchase pattern/choice as made. With virtual stores to improve consumer coverage, monetization and ease of product delivery, users' trust is lowered with the non-delivery of advertised… Read full abstract & cite →

Consumer preference consumer trust purchasing-pattern purchase intentions online virtual shops

Abstract doi.org/10.14569/IJACSA.2024.0150780 PDF

81

Research on the Path of Enhancing Employment and Entrepreneurship Ability of Deaf College Students Based on Knowledge Graph

Author 1: Pengyu Liu

Enhancing employment capabilities and selecting suitable career paths are crucial for deaf university students. The advancement of knowledge graph technology has opened up technical possibilities for career decision-making among these students. This paper calculates user preferences and introduces an exponential decay function integrated with a time factor to accurately reflect… Read full abstract & cite →

Knowledge graph hearing impaired college students employment and entrepreneurial ability interest matching feature extraction

Abstract doi.org/10.14569/IJACSA.2024.0150781 PDF

82

Data Sensitivity Preservation-Securing Value Using Varied Differential Privacy Method (SP-SV Method)

Author 1: Supriya G Purohit Author 2: Veeragangadhara Swamy

Numerous governmental entities, including hospitals and the Bureau of Statistics, as well as other functional units, have shown great interest in personalized privacy. Numerous models and techniques for data posting have been put forward, the majority of which concentrated on a single sensitive property. A few scholarly articles highlighted the… Read full abstract & cite →

Big data privacy preservation security data publish data privacy

Abstract doi.org/10.14569/IJACSA.2024.0150782 PDF

83

Precision Farming with AI: An Integrated Deep Learning Solution for Paddy Leaf Disease Monitoring

Author 1: Pramod K Author 2: V. R. Nagarajan

Paddy rice, an essential food source for millions, is highly susceptible to various leaf diseases that threaten its yield and quality. This study introduces a cutting-edge hybrid deep learning model designed to address the critical need for accurate and timely identification and classification of paddy leaf diseases. Traditional methods often… Read full abstract & cite →

Paddy rice leaf diseases hybrid deep learning efficientnetb0 capsule network

Abstract doi.org/10.14569/IJACSA.2024.0150783 PDF

84

Brain and Heart Rate Variability Patterns Recognition for Depression Classification of Mental Health Disorder

Author 1: Qaisar Abbas Author 2: M. Emre Celebi Author 3: Talal AlBalawi Author 4: Yassine Daadaa

Depression is common and dangerous if untreated. We must detect depression patterns early and accurately to provide timely interventions and assistance. We present a novel depression prediction method (depressive-deep), which combines preprocess brain electroencephalogram (EEG) and ECG-based heart-rate variability (HRV) signals into a 2D scalogram. Later, we extracted features from… Read full abstract & cite →

Mental health disorder depression patterns electroencephalogram heart rate variability deep learning mobilenet behavioral analysis internet of medical things

Abstract doi.org/10.14569/IJACSA.2024.0150784 PDF

85

A Systematic Review on Assessment in Adaptive Learning: Theories, Algorithms and Techniques

Author 1: Adel Ihichr Author 2: Omar Oustous Author 3: Younes El Bouzekri El Idrissi Author 4: Ayoub Ait Lahcen

Computerized knowledge assessments have become increasingly popular, especially since COVID-19 has transformed assessment practices from both technological and pedagogical standpoints. This systematic review of the literature aims to analyze studies concerning the integration of adaptive assessment techniques and algorithms in Learning Management Systems (LMS) to generate a global vision of… Read full abstract & cite →

Adaptive assessment adaptive learning test education techniques

Abstract doi.org/10.14569/IJACSA.2024.0150785 PDF

86

Implementation of Slicing Aided Hyper Inference (SAHI) in YOLOv8 to Counting Oil Palm Trees Using High-Resolution Aerial Imagery Data

Author 1: Naufal Najiv Zhorif Author 2: Rahmat Kenzie Anandyto Author 3: Albrizy Ullaya Rusyadi Author 4: Edy Irwansyah

Palm oil is a commodity that contributes significantly to Indonesia's national economic growth, with a total plantation area of 116,000 hectares. By 2023, Indonesia is projected to produce approximately 47 million metric tons of palm oil. One of the major challenges in the manual counting of oil palm trees in… Read full abstract & cite →

Oil palm tree YOLOv8 SAHI aerial imagery tree counting

Abstract doi.org/10.14569/IJACSA.2024.0150786 PDF

87

Enhancing English Learning Environments Through Real-Time Emotion Detection and Sentiment Analysis

Author 1: Myagmarsuren Orosoo Author 2: Yaisna Rajkumari Author 3: Komminni Ramesh Author 4: Gulnaz Fatma Author 5: M. Nagabhaskar Author 6: Adapa Gopi Author 7: Manikandan Rengarajan

Educational technology is increasingly focusing on real-time language learning. Prior studies have utilized Natural Language Processing (NLP) to assess students' classroom behavior by analyzing their reported feelings and thoughts. However, these studies have not fully enhanced the feedback provided to instructors and peers. This research addresses this issue by combining… Read full abstract & cite →

Convolutional neural network federated learning LSTM Natural Language Processing SMOTE

Abstract doi.org/10.14569/IJACSA.2024.0150787 PDF

88

Analysing Code-Mixed Text in Programming Instruction Through Machine Learning for Feature Extraction

Author 1: Myagmarsuren Orosoo Author 2: J Chandra Sekhar Author 3: Manikandan Rengarajan Author 4: Nyamsuren Tsendsuren Author 5: Adapa Gopi Author 6: Yousef A.Baker El-Ebiary Author 7: Prema S Author 8: Ahmed I. Taloba

In programming education, code-mixed text using multiple languages or dialects simultaneously can significantly hinder learning outcomes due to misinterpretation and inadequate processing by traditional systems. For instance, students with bilingual or multilingual backgrounds may face difficulties with automated code reviews or multilingual coding tutorials if their code-mixed queries are not… Read full abstract & cite →

Code-mixed text text processing federated learning bidirectional long short-term memory programming education real-time applications computer-aided education

Abstract doi.org/10.14569/IJACSA.2024.0150788 PDF

89

A Hybrid DBN-GRU Model for Enhanced Sentiment Analysis in Product Reviews

Author 1: Shaista Khan Author 2: J Chandra Sekhar Author 3: J. Ramu Author 4: Yousef A.Baker El-Ebiary Author 5: K.Aanandha Saravanan Author 6: Kuchipudi Prasanth Kumar Author 7: Prajakta Uday Waghe

In an era marked by a proliferation of online reviews across various domains, navigating the extensive and diverse range of opinions can be challenging. Sentiment analysis aims to extract and interpret sentiments from these vast pools of data using computational linguistics and information retrieval techniques. This study focuses on employing… Read full abstract & cite →

Sentimental analysis product review deep learning DBN-GRU

Abstract doi.org/10.14569/IJACSA.2024.0150789 PDF

90

Harnessing Big Data: Strategic Insights for IT Management

Author 1: Asfar H Siddiqui Author 2: Swetha V P Author 3: Harish Chowdhary Author 4: R.V.V. Krishna Author 5: Elangovan Muniyandy Author 6: Lakshmana Phaneendra Maguluri

Big Data analytics has become an essential tool for IT management, enabling data-driven decision-making in various areas, such as resource allocation and strategic planning. This research examines the use of ARIMA (Auto Regressive Integrated Moving Average) models to improve decision-making in IT management. ARIMA is a popular time-series forecasting method… Read full abstract & cite →

Autoregressive integrated moving average big data analytics strategic planning IT management time-series forecasting

Abstract doi.org/10.14569/IJACSA.2024.0150790 PDF

91

Privacy Protection of Secure Sharing Electronic Health Records Based on Blockchain

Author 1: Yuan Wang Author 2: Lin Sun

The secure sharing and privacy protection of medical data have become pain points for medical data management platforms. Therefore, a secure sharing electronic health record privacy protection method based on blockchain is proposed in the study, aiming to improve data security privacy and ensure absolute ownership of patients' medical data… Read full abstract & cite →

Blockchain secure sharing electronic health records privacy protection zero-knowledge proof attribute encryption

Abstract doi.org/10.14569/IJACSA.2024.0150791 PDF

92

Ensemble Machine Learning for Enhanced Breast Cancer Prediction: A Comparative Study

Author 1: Md. Mijanur Rahman Author 2: Khandoker Humayoun Kobir Author 3: Sanjana Akther Author 4: Md. Abul Hasnat Kallol

Breast cancer poses a significant threat to women’s health, affecting one in every eight women globally and often leading to fatal outcomes due to delayed detection in advanced stages. Recent advancements in machine learning have opened doors to early detection possibilities. This study explores various machine learning algorithms, including K… Read full abstract & cite →

Breast cancer detection machine learning bagging boosting stacking voting chi square ensemble hybrid ensemble bioinformatics

Abstract doi.org/10.14569/IJACSA.2024.0150792 PDF

93

Deep Learning-Based Depression Analysis Among College Students Using Multi Modal Techniques

Author 1: Liyan Wang

This study proposed a novel approach to handle mental health, particularly, depression among college students, called CRADDS A Comprehensive Real-time Adaptive Depression Detection System. The novel CRADDS combined advanced tensor fusion networks which is able to analyze emotions using audio, text and video data more accurately, this is possible due… Read full abstract & cite →

Depression analysis multimodal techniques mental health real-time monitoring hybrid algorithms

Abstract doi.org/10.14569/IJACSA.2024.0150793 PDF

94

A Novel Architecture of Depthwise Separable CNN and Multi-Level Pooling for Detection and Classification of Myopic Maculopathy

Author 1: Alaa E. S. Ahmed

Myopic maculopathy (MM), also known as myopic macular degeneration, is the most serious, irreversible, vision-threatening complication and the leading cause of visual impairment and blindness. Numerous research studies demonstrate that the convolutional neural network (CNN) outperforms many applications. Current CNN designs employ a variety of techniques, such as fixed convolutional… Read full abstract & cite →

Retinograph ophthalmologists computer-aided diagnosis vision loss deep learning retinograph images myopic maculopathy

Abstract doi.org/10.14569/IJACSA.2024.0150794 PDF

95

Towards a Framework for Optimized Microservices Placement in Cloud Native Environments

Author 1: Riane Driss Author 2: Ettazi Widad Author 3: Ettalbi Ahmed

In recent times, cloud-native technologies have increasingly enabled the design and deployment of applications using a microservice architecture, enhancing modularity, scalability, and management efficiency. These advancements are specifically tailored for the creation and orchestration of containerized applications, marking a significant leap forward in the industry. Emerging cloud-native applications employ container-based… Read full abstract & cite →

Cloud native architecture Service placement containerization Cloud resource allocation microservices architecture

Abstract doi.org/10.14569/IJACSA.2024.0150795 PDF

96

Advances in Consortium Chain Scalability: A Review of the Practical Byzantine Fault Tolerance Consensus Algorithm

Author 1: Nur Haliza Abdul Wahab Author 2: Zhang Dayong Author 3: Juniardi Nur Fadila Author 4: Keng Yinn Wong

Blockchain technology, renowned for its decentralized, immutable, and transparent features, offers a reliable framework for trust in distributed systems. The growing popularity of consortium blockchains, which include public, private, hybrid, and consortium chains, stems from their balance of privacy and collaboration. A significant challenge in these systems is the scalability… Read full abstract & cite →

Blockchain Practical Byzantine Fault Tolerance (PBFT) consensus algorithm cryptography

Abstract doi.org/10.14569/IJACSA.2024.0150796 PDF

97

The Low-Cost Transition Towards Smart Grids in Low-Income Countries: The Case Study of Togo

Author 1: Mohamed BARATE Author 2: Eyouléki Tcheyi Gnadi PALANGA Author 3: Ayité Sénah Akoda AJAVON Author 4: Kodjo AGBOSSOU

Power grids must integrate information and communication technologies to become intelligent. This integration will enable power grids to be reliable, resilient, and environmentally friendly. The smart grid would help low-income countries to have a more stable power system to boost their development. However, implementing a smart grid is costly and… Read full abstract & cite →

Smart grid telecommunications network low cost low-income countries

Abstract doi.org/10.14569/IJACSA.2024.0150797 PDF

98

A Novel Smart System with Jetson Nano for Remote Insect Monitoring

Author 1: Thanh-Nghi Doan Author 2: Thien-Hue Phan

Insect monitoring is vital for agricultural management and environmental conservation, but traditional methods are labor-intensive and time-consuming. This paper introduces a novel smart system utilizing NVIDIA's Jetson Nano technology combined with object detection models for remote insect monitoring. The system automates the processes of detection, identification, and monitoring, thereby significantly… Read full abstract & cite →

NVIDIA Jetson Nano insect monitoring YOLOv7

Abstract doi.org/10.14569/IJACSA.2024.0150798 PDF

99

AI-IoT Enabled Surveillance Security: DeepFake Detection and Person Re-Identification Strategies

Author 1: Srikanth Bethu Author 2: M. Trupthi Author 3: Suresh Kumar Mandala Author 4: Syed Karimunnisa Author 5: Ayesha Banu

Face Recognition serves as a biometric tool and technological approach for identifying individuals based on distinctive facial features and physiological characteristics such as interocular distance, nasal width, lip contours, and facial structure. Among various identification methods, it stands out for its efficacy. However, the emergence of deepfake technology poses a… Read full abstract & cite →

Artificial intelligence deep learning face recognition IoT reinforcement learning Deep Q network deepfake

Abstract doi.org/10.14569/IJACSA.2024.0150799 PDF

100

Deep Learning-Driven Citrus Disease Detection: A Novel Approach with DeepOverlay L-UNet and VGG-RefineNet

Author 1: P Dinesh Author 2: Ramanathan Lakshmanan

Agriculture is essential to the world's desire to produce food, generate income, and maintain livelihoods. Citrus fruits are produced worldwide and have a significant impact on food production, nutrition, and agriculture. During production, farmers face difficulties due to diseases that affect plant growth. Black spot, canker, and greening are some… Read full abstract & cite →

Citrus disease detection highlighting affected region Deep learning semantic segmentation DeepOverlay L-UNet VGG-RefineNet

Abstract doi.org/10.14569/IJACSA.2024.01507100 PDF

101

Enhancing Predictive Analysis of Vehicle Accident Risk: A Fuzzy-Bayesian Approach

Author 1: Houssam Mensouri Author 2: Loubna Bouhsaien Author 3: Youssra Amazou Author 4: Abdellah Azmani Author 5: Monir Azmani

Although delivery transport activities aim to ensure excellent customer service, risks such as accidents, property damage, and additional costs occur frequently, necessitating risk control and prevention as critical components of transport supply chain quality. This article analyzes the risk of accidents, a fundamental root cause of critical situations that can… Read full abstract & cite →

Road traffic injuries risk management predictive analysis Bayesian network fuzzy logic accident

Abstract doi.org/10.14569/IJACSA.2024.01507101 PDF

102

Use of Natural Language Processing Methods in Teaching Turkish Proverbs and Idioms

Author 1: Ertürk ERDAGI

In this study, a series of studies are proposed for easy learning of proverbs and idioms in the language. In Turkish, proverbs and idioms are structures that are used both in the academic environment and in their daily lives, especially by 10-year-old students who have entered the abstract thinking stage… Read full abstract & cite →

Idiom proverb natural language processing word frequency n-gram analysis contextual analysis

Abstract doi.org/10.14569/IJACSA.2024.01507102 PDF

103

Analysis Performance of One-Stage and Two Stage Object Detection Method for Car Damage Detection

Author 1: Harum Ananda Setyawan Author 2: Alhadi Bustamam Author 3: Rinaldi Anwar Buyung

The large use of private cars is directly proportional to the number of insurance claims. Therefore, insurance companies need a breakthrough or new approach that is more effective and efficient to be able to compete for the trust of their customers. One approach that can be taken is to use… Read full abstract & cite →

Car damage detection insurance claim deep learning object detection

Abstract doi.org/10.14569/IJACSA.2024.01507103 PDF

104

Innovative Approaches to Agricultural Risk with Machine Learning

Author 1: Sumi. M Author 2: S. Manju Priya

Agriculture is fraught with uncertainties arising from factors like weather volatility, pest outbreaks, market fluctuations, and technological advancements, posing significant challenges to farmers. By gaining insights into these risks, farmers can enhance decision-making, adopt proactive measures, and optimize resource allocation to minimize negative impacts and maximize productivity. The research introduces… Read full abstract & cite →

Random forest ridge classifier logistic regression gradient boosting extreme gradient boost Variation Inflation Factor support vector machine farmer risk prediction agricultural risk

Abstract doi.org/10.14569/IJACSA.2024.01507104 PDF

105

Knowledge Graph-Based JingFang Granules Efficacy Analysis for Influenza-Like Illness

Author 1: Yuqing Li Author 2: Zhitao Jiang Author 3: Zhiyan Huang Author 4: Wenqiao Gong Author 5: Yanling Jiang Author 6: Guoliang Cheng

This study presents a novel approach to evaluate the efficacy of JingFang granules in treating influenza-like illness by integrating knowledge graph technology with clinical trial data. We developed an innovative knowledge graph-based pharmacological analysis method and validated its effectiveness through a randomized controlled clinical trial. A knowledge graph was constructed… Read full abstract & cite →

Knowledge graph clinical trial influenza-like illness jingfang drug efficacy analysis

Abstract doi.org/10.14569/IJACSA.2024.01507105 PDF

106

Exploring Photo-Based Dialogue Between Elderly Individuals and Generative AI Agents

Author 1: Kousuke Shimizu Author 2: Banba Ami Author 3: Choi Dongeun Author 4: Miyuki Iwamoto Author 5: Nahoko Kusaka Author 6: Panote Siriaraya Author 7: Noriaki Kuwahara

Japan's rapid transition into a super-aged society, with 29% of its population aged 65 and over, underscores the urgent need for innovative elderly care solutions. This study explores the use of generative AI to facilitate meaningful interactions between elderly individuals and AI conversational agents using photos. Utilizing Microsoft Azure's AI… Read full abstract & cite →

Generative AI elderly care conversational agents photo-based interaction

Abstract doi.org/10.14569/IJACSA.2024.01507106 PDF

107

The Application of Blockchain Technology in Network Security and Authentication: Issues and Strategies

Author 1: Yanli Lu

With the advent of the digital age, the importance of network security and authentication is gradually highlighted. Blockchain technology, as a distributed, immutable record technology, brings great potential value to both areas. This study aims to delve into how blockchain technology can ensure network security and its application in authentication… Read full abstract & cite →

Blockchain network security identity verification deep regression model

Abstract doi.org/10.14569/IJACSA.2024.01507107 PDF

108

Optimization of Green Supply Chain Management Based on Improved MPA

Author 1: Dan Li

With the advancement of industrialization and urbanization in the global market, the contradiction between economic development and environmental protection is becoming increasingly prominent. In response to the optimization problem, this study constructs a green supply chain network problem model with green constraints. In the second half of the iteration of… Read full abstract & cite →

Green supply chain supply chain management marine predator algorithm optimization problem fish gathering device

Abstract doi.org/10.14569/IJACSA.2024.01507108 PDF

109

Generating New Ulos Motif with Generative AI Method in Digital Tenun Nusantara (DiTenun) Platform

Author 1: Humasak Simanjuntak Author 2: Evelin Panjaitan Author 3: Sandraulina Siregar Author 4: Unedo Manalu Author 5: Samuel Situmeang Author 6: Arlinta Barus

DiTenun is a startup developing a platform that utilizes artificial intelligence to create innovative digital textile patterns for woven fabrics. One of the woven motifs produced is the Ulos motif, a traditional weaving from the Batak tribe that consists of various types, patterns/motifs, and sizes. Currently, DiTenun platform applies two… Read full abstract & cite →

Generate Ulos motif StyleGAN DiTenun generative AI Ulos motif

Abstract doi.org/10.14569/IJACSA.2024.01507109 PDF

110

eTNT: Enhanced TextNetTopics with Filtered LDA Topics and Sequential Forward / Backward Topic Scoring Approaches

Author 1: Daniel Voskergian Author 2: Rashid Jayousi Author 3: Burcu Bakir-Gungor

TextNetTopics is a novel text classification-based topic modelling approach that focuses on topic selection rather than individual word selection to train a machine learning algorithm. However, one key limitation of TextNetTopics is its scoring component, which evaluates each topic in isolation and ranks them accordingly, ignoring the potential relationships between… Read full abstract & cite →

Topic scoring topic modeling text classification machine learning

Abstract doi.org/10.14569/IJACSA.2024.01507110 PDF

111

Computer Aided Classification of Lung Cancer, Ground Glass Lung and Pulmonary Fibrosis Using Machine Learning and KNN Classifier

Author 1: Prathibha T P Author 2: Punal M Arabi

Respiratory diseases are one of the most prevalent acute and chronic ailments worldwide. According to a recent survey, there were around 545 million cases of chronic respiratory diseases worldwide. Chronic respiratory diseases such as chronic obstructive pulmonary disease (COPD), pneumoconioses, asthma, interstitial lung disease and pulmonary sarcoidosis are significant public… Read full abstract & cite →

Ground glass healthy KNN LBP lung cancer lung diseases classification LBP ML and pulmonary fibrosis

Abstract doi.org/10.14569/IJACSA.2024.01507111 PDF

112

An Integrated Approach for Real-Time Gender and Age Classification in Video Inputs Using FaceNet and Deep Learning Techniques

Author 1: Abhishek Nazare Author 2: Sunita Padmannavar

The increasing demand for real-time gender and age classification in video inputs has spurred advancements in computer vision techniques. This research work presents a comprehensive pipeline for addressing this challenge, encompassing three pivotal tasks: face detection, gender classification, and age estimation. FaceNet effectively identifies faces within video streams, serving as… Read full abstract & cite →

Gender classification age estimation face detection FaceNet ResNet34 computer vision techniques

Abstract doi.org/10.14569/IJACSA.2024.01507112 PDF

113

Modification of the Danzig-Wolf Decomposition Method for Building Hierarchical Intelligent Systems

Author 1: Turganzhan Velyamov Author 2: Alexandr Kim Author 3: Olga Manankova

This article examines the Dantzig-Wolfe decomposition method for solving large-scale optimization problems. The standard simplex algorithm solves these problems, making the Dantzig-Wolfe method a valuable tool. The article describes in detail a new modification of the Dantzig-Wolfe decomposition method. This modification aims to improve the efficiency of the coordination task… Read full abstract & cite →

Decomposition method optimization parallel processing linear programming

Abstract doi.org/10.14569/IJACSA.2024.01507113 PDF

114

An Improved Liver Disease Detection Based on YOLOv8 Algorithm

Author 1: Junjie Huang Author 2: Caihong Li Author 3: Fengjun Yan Author 4: Yuanchun Guo

The identification and diagnosis of liver diseases hold significant importance within the domain of digital pathology research. Various methods have been explored in the literature to address this crucial task, with deep learning techniques emerging as particularly promising due to their ability to yield highly accurate results compared to other… Read full abstract & cite →

Liver disease detection deep learning digital pathology YOLOv8 accuracy enhancement

Abstract doi.org/10.14569/IJACSA.2024.01507114 PDF

115

Reliability in Cloud Computing Applications with Chaotic Particle Swarm Optimization Algorithm

Author 1: Wenli WANG Author 2: Yanlin BAI

In recent years, IT managers of large enterprises and stakeholders have turned to cloud computing due to the benefits of reduced maintenance costs and security concerns, as well as access to high-performance hardware and software resources. The two main challenges that need to be considered in terms of importance are… Read full abstract & cite →

Reliability cloud computing chaotic particle swarm optimization algorithm distributed systems

Abstract doi.org/10.14569/IJACSA.2024.01507115 PDF

116

Advanced Active Player Tracking System in Handball Videos Using Multi-Deep Sort Algorithm with GAN Approach

Author 1: Poovaraghan R J Author 2: Prabhavathy P

Active player tracking in sports analytics is crucial for understanding team dynamics, player performance, and game strategies. This paper introduces an innovative approach to tracking active players in handball videos using a fusion of the Multi-Deep SORT algorithm and a Generative Adversarial Network (GAN) model. The novel integration aims to… Read full abstract & cite →

Handball recognition multi-deep SORT GAN deep learning computer vision

Abstract doi.org/10.14569/IJACSA.2024.01507116 PDF

117

An Improved Genetic Algorithm and its Application in Routing Optimization

Author 1: Jianwei Wang Author 2: Wenjuan Sun

Traditional routing algorithms can't adapt to the complex and changeable network environment, and the basic genetic algorithm can't be applied to solving routing optimization problems directly because of the lack of coding methods. An improved basic genetic algorithm was purposed to find the optimal or near-optimal routing. The network model… Read full abstract & cite →

Improvement of genetic algorithm routing optimization shortest path crossover operator mutation operator

Abstract doi.org/10.14569/IJACSA.2024.01507117 PDF

118

An Analysis of the Effect of Using Online Loans on User Data Privacy

Author 1: Indrajani Sutedja Author 2: Muhammad Firdaus Adam Author 3: Fauzan Hafizh Author 4: Muhammad Farrel Wahyudi

Online loans deliberately leak user data. The entry of the digital ecosystem at the beginning of the 20th century initiated major changes in society in the way information is controlled, communicated and expressed. Industrial development in Indonesia is growing very rapidly, especially along with the progress of the digital economy… Read full abstract & cite →

Online loans data privacy peer-to-peer lending OJK fintechs

Abstract doi.org/10.14569/IJACSA.2024.01507118 PDF

119

Forecast for Container Retention in IoT Serverless Applications on OpenWhisk

Author 1: Ganeshan Mahalingam Author 2: Rajesh Appusamy

This research tackles resource management in OpenWhisk-based serverless applications for the Internet of Things (IoT) by introducing a novel approach to container retention optimization. We leverage the capabilities of AWS Forecast, specifically its DeepAR+ and Prophet algorithms, to dynamically forecast workload patterns. This real-time forecast empowers us to make adaptive… Read full abstract & cite →

Serverless IoT AWS Forecast Deep AR+ Prophet AWS EKS docker and containers cold start OpenWhisk

Abstract doi.org/10.14569/IJACSA.2024.01507119 PDF

120

Original Strategy for Verbatim Collecting Knowledge from Mostly-Illiterate and Secretive Experts: West Africa Traditional Medicine’s Case

Author 1: Kouamé Appoh Author 2: Lamy Jean-Baptiste Author 3: Kroa Ehoulé

80% of least developed countries populations rely on traditional medicine (TM). West Africa is not left outdone. Multilingualism is very manifest. Additionally, TM practitioners (TMP) commonly desire to keep secret their knowledge. Illiteracy affects the vast majority of TMP in this region. Thus, exchanges between practitioners for knowledge and experience… Read full abstract & cite →

Knowledge elicitation collection data method ontology traditional medicine West Africa ontoMEDTRAD

Abstract doi.org/10.14569/IJACSA.2024.01507120 PDF

121

Tunisian Lung Cancer Dataset: Collection, Annotation and Validation with Transfer Learning

Author 1: Omar Khouadja Author 2: Mohamed Saber Naceur Author 3: Samira Mhamedi Author 4: Anis Baffoun

Globally, lung cancer remains the leading cause of cancer-related deaths, with early detection significantly improving survival rates. Developing robust machine learning models for early detection necessitates access to high-quality, localized datasets. This project establishes the first lung cancer dataset in Tunisia, utilizing DICOM CT scans from 123 Tunisian patients. The… Read full abstract & cite →

Lung cancer Tunisia dataset transfer learning medical imaging annotations

Abstract doi.org/10.14569/IJACSA.2024.01507121 PDF

122

Ensemble Feature Selection for Student Performance and Activity-Based Behaviour Analysis

Author 1: Varsha Ganesh Author 2: S Umarani

Analyzing students' behaviour during online classes is vital for teachers to identify the strengths and weaknesses of online classes. This analysis, based on observing academic performance and student activity data, helps teachers to understand the teaching outcomes. Most Educational Data Mining (EDM) processes analyze students' academic or behavioural data; in… Read full abstract & cite →

Behaviour analysis deep learning educational data mining student performance prediction students activity monitoring machine learning

Abstract doi.org/10.14569/IJACSA.2024.01507122 PDF

123

Diagnosing People at Risk of Heart Diseases Using the Arduino Platform Under the IoT Platform

Author 1: Xiaoxi Fan Author 2: Qiaoxia Wang Author 3: Yao Sun

Using the Arduino platform under the Internet of Things (IoT) platform to diagnose individuals at risk of heart diseases. An enormous volume of data focus has been placed on delivering high-quality healthcare in response to the increasing prevalence of life-threatening health conditions among patients. Several factors contribute to the health… Read full abstract & cite →

Arduino platform internet of things heart disease diagnosis high-quality healthcare cardiovascular diseases deep learning

Abstract doi.org/10.14569/IJACSA.2024.01507123 PDF

124

Hybrid CNN: An Empirical Analysis of Machine Learning Models for Predicting Legal Judgments

Author 1: G. Sukanya Author 2: J. Priyadarshini

Artificial Intelligence with NLP has revolutionized the legal industry, which was previously under-digitized, and it's eager to adopt digital technologies for increased efficiency. Case backlog issues, exacerbated by population growth, can be alleviated by AI's potential in decision prediction for laypeople, litigants, and adjudicators. Legal judgment prediction (LJP) is viewed… Read full abstract & cite →

Legal judgment prediction encoding SVM SGD Doc2vec CNN transformers

Abstract doi.org/10.14569/IJACSA.2024.01507124 PDF

125

Exploring Google Play Store Apps Using Predictive User Context: A Comprehensive Analysis

Author 1: Anandh A Author 2: Ramya R Author 3: Vakaimalar E Author 4: Santhipriya B

Google Play Store is a digital platform for mobile applications, where users can download and install apps for their android devices. It is a great source of data for mining and analyzing app performance and user behavior. The increasing volume of mobile applications poses a challenge for users in finding… Read full abstract & cite →

Naïve Bayes random forest logistic regression mining Google play store android mobile application

Abstract doi.org/10.14569/IJACSA.2024.01507125 PDF

126

Unleashing the Power of Open-Source Transformers in Medical Imaging: Insights from a Brain

Author 1: M. A. Rahman Author 2: A. Joy Author 3: A. T. Abir Author 4: T. Shimamura

This research investigates the application of open-source transformers, specifically the ConvNeXt V2 and Seg-former models, for brain tumor classification and segmentation in medical imaging. The ConvNeXt V2 model is adapted for classification tasks, while the Segformer model is tailored for segmentation tasks, both undergoing a fine-tuning process involving model initialization… Read full abstract & cite →

Open-source transformers ConvNeXt V2 seg-former brain tumor classification medical image segmentation diagnostic accuracy neuro-oncology

Abstract doi.org/10.14569/IJACSA.2024.01507126 PDF

127

A Multi-Criteria Decision-Making Approach for Equipment Evaluation Based on Cloud Model and VIKOR Method

Author 1: Jincheng Guan Author 2: Jiachen Liu Author 3: Hao Chen Author 4: Wenhao Bi

Equipment evaluation stands as a critical task in both equipment system development and military operation planning. This task is often recognized as a complex multi-criteria decision-making (MCDM) problem. Adding to the intricacy is the uncertain nature inherent in military operations, leading to the introduction of fuzziness and randomness into the… Read full abstract & cite →

Multi-criteria decision-making equipment evaluation cloud model VIKOR

Abstract doi.org/10.14569/IJACSA.2024.01507127 PDF

128

Graph Convolutional Network for Occupational Disease Prediction with Multiple Dimensional Data

Author 1: Khanh Nguyen-Trong Author 2: Tuan Vu-Van Author 3: Phuong Luong Thi Bich

Occupational diseases present a significant global challenge, affecting a vast number of workers. Accurate prediction of occupational disease incidence is crucial for effective prevention and control measures. Although deep learning methods have recently emerged as promising tools for disease forecasting, existing research often focuses solely on patient body parameters and… Read full abstract & cite →

Occupational disease diagnostics heterogeneous data imbalanced data Graph Convolutional Network (GCN) deep graph convolutional neural network

Abstract doi.org/10.14569/IJACSA.2024.01507128 PDF

129

Construction Cost Estimation in Data-Poor Areas Using Grasshopper Optimization Algorithm-Guided Multi-Layer Perceptron and Transfer Learning

Author 1: Xuan Sha Author 2: Guoqing Dong Author 3: Xiaolei Li Author 4: Juan Sheng

Accurate construction cost estimation is crucial for completing projects within the planned timeframe and budget. Using machine learning methods to predict construction costs has become a new trend. However, machine learning methods typically require a large amount of data for model training, which makes it particularly challenging in data-poor areas… Read full abstract & cite →

Construction cost estimation multi-layer perceptron grasshopper optimization algorithm transfer learning machine learning

Abstract doi.org/10.14569/IJACSA.2024.01507129 PDF

130

Exploring Abstractive Text Summarization: Methods, Dataset, Evaluation, and Emerging Challenges

Author 1: Yusuf Sunusi Author 2: Nazlia Omar Author 3: Lailatul Qadri Zakaria

The latest advanced models for abstractive summarization, which utilize encoder-decoder frameworks, produce exactly one summary for each source text. This systematic literature review (SLR) comprehensively examines the recent advancements in abstractive text summarization (ATS), a pivotal area in natural language processing (NLP) that aims to generate concise and coherent summaries… Read full abstract & cite →

Abstractive text summarization systematic literature review natural language processing evaluation metrics dataset computation linguistics

Abstract doi.org/10.14569/IJACSA.2024.01507130 PDF

131

Identification of Agile Requirements Change Management Success Factors in Global Software Development Based on the Best-Worst Method

Author 1: Abdulmajeed Aljuhani

To create products that are both cost effective and high quality, a majority of software development companies are following the principles of global software development, or GSD. One of the most significant and challenging stages of the agile software development process is requirements change management (RCM); however, the execution of… Read full abstract & cite →

Best-Worst Method (BWM) Agile Requirements Change Management (ARCM) success factors Global Software Development (GSD)

Abstract doi.org/10.14569/IJACSA.2024.01507131 PDF

132

Degree Based Search: A Novel Graph Traversal Algorithm Using Degree Based Priority Queues

Author 1: Shyma P V Author 2: Sanil Shanker K P

This paper introduces a novel graph traversal algorithm, Degree Based Search, which leverages degree-based ordering and priority queues to efficiently identify shortest paths in complex graph structures. Our method prioritizes nodes based on their degrees, enhancing exploration of related components and offering flexibility in diverse scenarios. Comparative analysis demonstrates superior… Read full abstract & cite →

Graph traversal degree based search algorithm ascendant node ascendant node first searching algorithm descent node descent node first searching algorithm

Abstract doi.org/10.14569/IJACSA.2024.01507132 PDF

133

IPD-Net: Detecting AI-Generated Images via Inter-Patch Dependencies

Author 1: Jiahan Chen Author 2: Mengtin Lo Author 3: Hailiang Liao Author 4: Tianlin Huang

With the rapid development of generative models, the fidelity of AI-generated images has almost reached a level that is difficult for humans to distinguish true from fake. The rapid development of this technology may lead to the widespread dissemination of fake content. Therefore, developing effective AI-generated image detectors has become… Read full abstract & cite →

AI-generated image detection image forensics self-attention mechanism

Abstract doi.org/10.14569/IJACSA.2024.01507133 PDF

134

An FPA-Optimized XGBoost Stacking for Multi-Class Imbalanced Network Attack Detection

Author 1: Hui Fern Soon Author 2: Amiza Amir Author 3: Hiromitsu Nishizaki Author 4: Nik Adilah Hanin Zahri Author 5: Latifah Munirah Kamarudin

Network anomaly detection systems face challenges with imbalanced datasets, particularly in classifying underrepresented attack types. This study proposes a novel framework for improving F1-scores in multi-class imbalanced network attack detection using the UNSW-NB15 dataset, without resorting to resampling techniques. Our approach integrates Flower Pollination Algorithm-based hyperparameter tuning with an ensemble… Read full abstract & cite →

Intrusion detection multi-class imbalanced classification ensemble learning approaches

Abstract doi.org/10.14569/IJACSA.2024.01507134 PDF

135

Deep Learning and Web Applications Vulnerabilities Detection: An Approach Based on Large Language Models

Author 1: Sidwendluian Romaric Nana Author 2: Didier Bassole Author 3: Desire Guel Author 4: Oumarou Sie

Web applications are part of the daily life of Internet users, who find services in all sectors of activity. Web applications have become the target of malicious users. They exploit web application vulnerabilities to gain access to unauthorized resources and sensitive data, with consequences for users and businesses alike. The… Read full abstract & cite →

Deep learning web application vulnerability detection large language model

Abstract doi.org/10.14569/IJACSA.2024.01507135 PDF

136

Exploring Effective Diagnostic and Therapeutic Strategies for Deep Vein Thrombosis in High-Risk Patients: A Study

Author 1: Pavihaa Lakshmi B Author 2: Vidhya S

Blood clots formed in blood vessels are termed as Thrombus. The pivotal strategy in diagnosing the early-stage thrombus, plays a vital role. Most commonly, blood clot occurs in the calf muscles of the lower extremities which leads to Deep Vein Thrombosis (DVT). Vulnerable patients are those who are involved in… Read full abstract & cite →

Diagnosis DVT game-based therapy head-mounted display rehabilitation therapy virtual reality

Abstract doi.org/10.14569/IJACSA.2024.01507136 PDF

137

Automated Detection of Offensive Images and Sarcastic Memes in Social Media Through NLP

Author 1: Tummala Purnima Author 2: Ch Koteswara Rao

In this digital era, social media is one of the key platforms for collecting customer feedback and reflecting their views on various aspects, including products, services, brands, events, and other topics of interest. However, there is a rise of sarcastic memes on social media, which often convey contrary meaning to… Read full abstract & cite →

Deep learning natural language processing offensive images sarcastic memes toxic content detection

Abstract doi.org/10.14569/IJACSA.2024.01507137 PDF

138

Log-Driven Conformance Checking Approximation Method Based on Machine Learning Model

Author 1: Huan Fang Author 2: Sichen Zhang Author 3: Zhenhui Mei

Conformance checking techniques are usually used to determine to what degree a process model and real execution trace correspond to each other. Most of the state-of-the-art techniques to calculate conformance value provide an exact value under the circumstance that the reference model of a business system is known. However, in… Read full abstract & cite →

Conformance checking fitness log driven machine learning deep learning probabilities

Abstract doi.org/10.14569/IJACSA.2024.01507138 PDF

139

Classification of Spatial Data Based on K-means and Vorono¨ı Diagram

Author 1: Moubaric KABORE Author 2: Béné-wendé Odilon Isaïe ZOUNGRANA Author 3: Abdoulaye SERE

This paper is focusing on the problem of the time taken by different algorithms to search data in a large database. The execution time of these algorithms becomes high, in the case of searching data in a non-redundant data, distributed in different database sites where the research consists of reading… Read full abstract & cite →

Classification K-means vorono¨ı diagram GIS big data data research

Abstract doi.org/10.14569/IJACSA.2024.01507139 PDF

140

Unexpected Trajectory Detection Based on the Geometrical Features of AIS-Generated Ship Tracks

Author 1: Wayan Mahardhika Wijaya Author 2: Yasuhiro Nakamura

Due to the efficiency and reliability of delivering goods by ships, maritime transport has been the backbone of global trade. In normal circumstances, a ship’s voyage is expected to assure the safety of life at sea, efficient and safe navigation, and protection of the maritime environment. However, ships may demonstrate… Read full abstract & cite →

Automatic identification system vessel trajectory classification unexpected behavior detection data mining data-driven decision support

Abstract doi.org/10.14569/IJACSA.2024.01507140 PDF

141

SecureTransfer: A Transfer Learning Based Poison Attack Detection in ML Systems

Author 1: Archa A T Author 2: K. Kartheeban

Critical systems are increasingly being integrated with machine learning (ML) models, which exposes them to a range of adversarial attacks.The vulnerability of machine learning systems to hostile attacks has drawn a lot of attention in recent years. When harmful input is added to the training set, it can lead to… Read full abstract & cite →

Poison attacks machine learning security transfer learning generative adversarial networks convolutional neural networks VGG16

Abstract doi.org/10.14569/IJACSA.2024.01507141 PDF

142

Overview of the Complex Landscape and Future Directions of Ethics in Light of Emerging Technologies

Author 1: Marianne A. Azer Author 2: Rasha Samir

In today’s rapidly evolving technological landscape, the ethical dimensions of information technology (IT) have become increasingly prominent, influencing everything from algorithmic decision-making to data privacy and cybersecurity. This paper offers a thorough examination of the multifaceted ethical considerations inherent in information Technology, spanning various domains such as artificial intelligence (AI)… Read full abstract & cite →

Artificial intelligence cybersecurity data privacy digital ethics ethical considerations information security machine learning technology ethics transparency

Abstract doi.org/10.14569/IJACSA.2024.01507142 PDF