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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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IJACSA Vol. 14 Issue 9 (2023)

Open Access | | 124 papers

Copyright Statement: This is an open access publication licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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1

Data Anomaly Detection in the Internet of Things: A Review of Current Trends and Research Challenges

Author 1: Min Yang Author 2: Jiajie Zhang

The Internet of Things (IoT) has revolutionized how we interact with the physical world, bringing a new era of connectivity. Billions of interconnected devices seamlessly communicate, generating an unprecedented volume of data. However, the dramatic growth of IoT applications also raises an important issue: the reliability and security of IoT… Read full abstract & cite →

Internet of things anomaly detection security machine learning
Abstract doi.org/10.14569/IJACSA.2023.0140901 PDF
2

Segmentation of Motion Objects in Video Frames using Deep Learning

Author 1: Feng JIANG Author 2: Jiao LIU Author 3: Jiya TIAN

The segmentation of the moving objects in the video sequences is one of the most usable series in the machine vision field, which has absorbed the consideration of researchers in the latter decades. It is a challenging task, especially when there are several motion objects in the video, and then… Read full abstract & cite →

Segmentation video processing motion objects deep convolutional neural network (DCNN)
Abstract doi.org/10.14569/IJACSA.2023.0140902 PDF
3

Classification of Coherence Indices Extracted from EEG Signals of Mild and Severe Autism

Author 1: Lingyun Wu

Autism spectrum disorder is a debilitating neurodevelopmental illness characterized by serious impairments in communication and social skills. Due to the increasing prevalence of autism worldwide, the development of a new diagnostic approach for autism spectrum disorder is of great importance. Also, diagnosing the severity of autism is very important for… Read full abstract & cite →

Autism spectrum disorder electroencephalography (EEG) classification neural network support vector machine coherence feature
Abstract doi.org/10.14569/IJACSA.2023.0140903 PDF
4

Enhancing Breast Cancer Diagnosis using a Modified Elman Neural Network with Optimized Algorithm Integration

Author 1: Linkai Chen Author 2: CongZhe You Author 3: Honghui Fan Author 4: Hongjin Zhu

Breast cancer is a class of cancer that starts in the cells of the breast. It happens once the cells of the breast divide and amplify abnormally and uncontrollably. Other parts of the body, including lymph nodes, bones, lungs, and liver, can be affected by breast cancer. Early diagnosis and… Read full abstract & cite →

Breast cancer model Elman Neural Network upgraded imperialist competitive algorithm
Abstract doi.org/10.14569/IJACSA.2023.0140904 PDF
5

Stacked LSTM and Kernel-PCA-based Ensemble Learning for Cardiac Arrhythmia Classification

Author 1: Azween Abdullah Author 2: S. Nithya Author 3: M. Mary Shanthi Rani Author 4: S. Vijayalakshmi Author 5: Balamurugan Balusamy

Cardiovascular diseases (CVD) are the most prevalent causes of death and disability worldwide. Cardiac arrhythmia is one of the chronic cardiovascular diseases that create panic in human life. Early diagnosis aids physicians in securing life. ECG is a non-stationary physiological signal representing the heart's electrical activity. Automated tools to detect… Read full abstract & cite →

Arrhythmia classification ensemble learning extreme gradient boosting kernel PCA LSTM machine learning
Abstract doi.org/10.14569/IJACSA.2023.0140905 PDF
6

A Versatile Shuffle Resource Units Recomputation Algorithm for Uplink OFDMA Random Access

Author 1: Azyyati Adiah Zazali Author 2: Shamala Subramaniam Author 3: Zuriati Ahmad Zukarnain Author 4: Abdullah Muhammed

IEEE 802.11ax introduces Uplink Orthogonal Frequency Division Multiple Access (OFDMA)-based Random Access (UORA), a novel feature for facilitating random channel access in Wireless Local Area Networks (WLANs). Similar to the conventional random access scheme in WLANs, UORA employs the OFDMA backoff (OBO) procedure to access the channel’s Resource Units (RUs)… Read full abstract & cite →

IEEE 802.11ax OFDMA UORA random access backoff resource units allocation multi-user
Abstract doi.org/10.14569/IJACSA.2023.0140906 PDF
7

The Promise of Self-Supervised Learning for Dental Caries

Author 1: Tran Quang Vinh Author 2: Haewon Byeon

Self-supervised learning (SSL) is a type of machine learning that does not require labeled data. Instead, SSL algorithms learn from unlabeled data by predicting the order of image patches, predicting the missing pixels in an image, or predicting the rotation of an image. SSL has been shown to be effective… Read full abstract & cite →

Machine learning dental imaging dental caries oral diseases
Abstract doi.org/10.14569/IJACSA.2023.0140907 PDF
8

Optimization Method for Trajectory Data Based on Satellite Doppler Velocimetry

Author 1: Junzhuo Li Author 2: Wenyong Li Author 3: Guan Lian

Due to cost and energy consumption limitations, there are significant differences in the positioning capabilities of mobile terminals, resulting in unsatisfactory quality of trajectory data. In this paper, satellite Doppler data is used to optimize trajectory data. First, the system state equation is established by the kinematic relationship between the… Read full abstract & cite →

Urban transportation Kalman Filter information fusion trajectory data
Abstract doi.org/10.14569/IJACSA.2023.0140908 PDF
9

Optimized YOLOv7 for Small Target Detection in Aerial Images Captured by Drone

Author 1: Yanxin Liu Author 2: Shuai Chen Author 3: Lin Luo

It is challenging to detect small targets in aerial images captured by drones due to variations in target sizes and occlusions arising from the surrounding environment. This study proposes an optimized object detection algorithm based on YOLOv7 to address the above-mentioned challenges. The proposed method comprises the design of a… Read full abstract & cite →

Small target detection drone aerial photography YOLOv7 clustering algorithm spatial pyramid pooling
Abstract doi.org/10.14569/IJACSA.2023.0140909 PDF
10

DevOps Implementation Challenges in the Indonesian Public Health Organization

Author 1: Muhammad Yazid Al Qahar Author 2: Teguh Raharjo

The importance of accelerating software development to meet rapidly changing business needs has driven the Indonesian Public Health Organization (IPHO) to adopt DevOps. But after three years, the expected benefits have not been achieved. This research aims to identify the main challenges and obstacles in implementing DevOps at IPHO. A… Read full abstract & cite →

DevOps challenges fuzzy AHP software development
Abstract doi.org/10.14569/IJACSA.2023.0140910 PDF
11

A Bibliometric Analysis of Smart Home Acceptance by the Elderly (2004-2023)

Author 1: Bo Yuan Author 2: Norazlyn Kamal Basha

Both academia and business firmly endorse the notion that a smart home would be the solution to easing the excessive social burden associated with demographic ageing and improving older adults' quality of life by enhancing living independence while encouraging their desire to age in place. This study uses bibliometric analysis… Read full abstract & cite →

Smart home acceptance elderly people ageing-in-place bibliometric analysis VOSviewer
Abstract doi.org/10.14569/IJACSA.2023.0140911 PDF
12

Automatic Generation of Image Caption Based on Semantic Relation using Deep Visual Attention Prediction

Author 1: M. M. EL-GAYAR

While modern systems for managing, retrieving, and analyzing images heavily rely on deriving semantic captions to categorize images, this task presents a considerable challenge due to the extensive capabilities required for manual processing, particularly with large images. Despite significant advancements in automatic image caption generation and human attention prediction through… Read full abstract & cite →

Semantic image captioning deep visual attention model long short-term memory wavelet driven convolutional neural network
Abstract doi.org/10.14569/IJACSA.2023.0140912 PDF
13

Enhancing Oil Price Forecasting Through an Intelligent Hybridized Approach

Author 1: Hicham BOUSSATTA Author 2: Marouane CHIHAB Author 3: Younes CHIHAB Author 4: Mohammed CHINY

The oil market has long experienced price fluctuations driven by diverse factors. These shifts in crude oil prices wield substantial influence over the costs of various goods and services. Moreover, the price per barrel is intricately intertwined with global economic activities, themselves influenced by the trajectory of oil prices. Analyzing… Read full abstract & cite →

Oil market prediction crude oil hybrid approach CPSE stock ETF price machine learning stock markets
Abstract doi.org/10.14569/IJACSA.2023.0140913 PDF
14

Compression Analysis of Hybrid Model Based on Scalable WDR Method and CNN for ROI-based Medical Image Transmission

Author 1: Bindulal T.S

The image compression techniques are the fast-growing methods and have developed on large scale. Among them, wavelet-based compression methods are most promising and efficient techniques widely used in the field of medical image processing and transmission. The compression techniques are treated as lossy or lossless models and these can be… Read full abstract & cite →

Medical image segmentation compression region of interest wavelet difference reduction convolutional neural network singular value decomposition
Abstract doi.org/10.14569/IJACSA.2023.0140914 PDF
15

A Proposed Intelligent Model with Optimization Algorithm for Clustering Energy Consumption in Public Buildings

Author 1: Ahmed Abdelaziz Author 2: Vitor Santos Author 3: Miguel Sales Dias

Recently, intelligent applications gained a significant role in the energy management of public buildings due to their ability to enhance energy consumption performance. Energy management of these buildings represents a big challenge due to their unexpected energy consumption characteristics and the deficiency of design guidelines for energy efficiency and sustainability… Read full abstract & cite →

Energy consumption in public buildings self-organizing map K-means genetic algorithm principal component analysis
Abstract doi.org/10.14569/IJACSA.2023.0140915 PDF
16

A Survey of Evolving Performance Analysis Technologies, Algorithms and Models for Sports

Author 1: Shamala Subramaniam Author 2: Manoj Ravi Shankar Author 3: Azyyati Adiah Zazali Author 4: Hong Siaw Swin Author 5: Zarina Muhamed Author 6: Sivakumar Rajagopal Author 7: Mohamad Zamri Napiah Author 8: Faisal Embung

The emergence and extensive development and deployment of Industrial Revolution 4.0 have distinctly transformed the methodologies of sports performance monitoring. Consequently, there has been an increase in the emergence of new and adapted technologies in various areas of sports, such as competition analysis, player performance analysis and many others. There… Read full abstract & cite →

Sports performance analysis technology on-field analysis IoT real-time monitoring off-field analysis
Abstract doi.org/10.14569/IJACSA.2023.0140916 PDF
17

An Improvement for Spatial-Temporal Queries of ATMGRAPH

Author 1: ZHANG Zhiyuan Author 2: HAN Boyang

As a knowledge graph for the field of ATM (Air Traffic Management), ATMGRAPH integrates aviation information from various sources, and provides a new way to comprehensively analyze ATM data, but the storage schema of ATMGRAPH is inefficient for trajectory-related queries which have typical spatial-temporal characteristics, thus cannot meet the application… Read full abstract & cite →

Air traffic management knowledge graph storage model spatial-temporal query ontology
Abstract doi.org/10.14569/IJACSA.2023.0140917 PDF
18

Comparison of Machine Learning Algorithms for Crime Prediction in Dubai

Author 1: Shaikha Khamis AlAbdouli Author 2: Ahmad Falah Alomosh Author 3: Ali Bou Nassif Author 4: Qassim Nasir

This study aims to find the most accurate algorithm that is capable of predicting crimes in Dubai. It compares models on a dataset of sample crimes in the Emirate of Dubai, United Arab Emirates using the open-source data mining software WEKA, which enabled us to use Random Forest, KNN, SVM… Read full abstract & cite →

Machine learning crime analysis crime patterns KNN random forest SVM ANN Naïve Bayes Decision Tree major crime
Abstract doi.org/10.14569/IJACSA.2023.0140918 PDF
19

Preserving Cultural Heritage Through AI: Developing LeNet Architecture for Wayang Image Classification

Author 1: Muhathir Author 2: Nurul Khairina Author 3: Rehia Karenina Isabella Barus Author 4: Mutammimul Ula Author 5: Ilham Sahputra

Wayang, an ancient cultural tradition in Java, has been an integral part of Indonesian culture for 1500 years. Rooted in Hindu cultural influences, wayang has evolved into a highly esteemed and beloved performance art. In the form of wayang kulit, this tradition conveys profound philosophical messages and implicit meanings that… Read full abstract & cite →

Wayang LeNet artificial intelligence deep learning cultural tradition
Abstract doi.org/10.14569/IJACSA.2023.0140919 PDF
20

A Comprehensive Review of Modern Methods to Improve Diabetes Self-Care Management Systems

Author 1: Alhuseen Omar Alsayed Author 2: Nor Azman Ismail Author 3: Layla Hasan Author 4: Farhat Embarak

Diabetes mellitus has become a global epidemic, with an increasing number of individuals affected by this chronic metabolic disorder. Effective management of diabetes requires a comprehensive self-care approach, which encompasses various aspects like monitoring blood glucose levels, adherence to medication, modifications in lifestyle, and regular healthcare monitoring. Innovative techniques for… Read full abstract & cite →

Diabetes self-care diabetes management systematic literature review BCT theories
Abstract doi.org/10.14569/IJACSA.2023.0140920 PDF
21

An Improved Convolutional Neural Network for Churn Analysis

Author 1: Priya Gopal Author 2: Nazri Bin MohdNawi

The significance of customer churn analysis has escalated due to the increasing availability of relevant data and intensifying competition. Researchers and practitioners are focused on enhancing prediction accuracy in modeling approaches, with deep neural networks emerging as appealing due to their robust performance across domains. However, the computational demands surge… Read full abstract & cite →

Customer churn analysis deep learning variational autoencoder convolutional neural networks dimensionality reduction
Abstract doi.org/10.14569/IJACSA.2023.0140921 PDF
22

A New Method for Classifying Intracerebral Hemorrhage (ICH) Based on Diffusion Weighted –Magnetic Resonance Imaging (DW-MRI)

Author 1: Andi Kurniawan Nugroho Author 2: Jajang Edi Priyanto Author 3: Dinar Mutiara Kusumo Nugraheni

Stroke is a condition where the blood supply to the brain is cut off. This occurs due to the rupture of blood vessels in the intracerebral area or Intracerebral Hemorrhage (ICH). Examination by health workers is generally carried out to get an overview of the part of the brain of… Read full abstract & cite →

Batch size Epoch ML-CNN SGD Stroke
Abstract doi.org/10.14569/IJACSA.2023.0140922 PDF
23

Application Prototype for Inclusive Literacy for People with Reading Disabilities

Author 1: Laberiano Andrade-Arenas Author 2: Roberto Santiago Bellido-García Author 3: Pedro Molina-Velarde Author 4: Cesar Yactayo-Arias

This article details the process of creating a prototype mobile application that aims to promote inclusive literacy for people with reading disabilities. The goal of this application is to help people with reading difficulties to become more independent so that they can participate in society and take advantage of educational… Read full abstract & cite →

Atlas TI 22 inclusive literacy mobile applications reading disability design thinking
Abstract doi.org/10.14569/IJACSA.2023.0140923 PDF
24

LAD-YOLO: A Lightweight YOLOv5 Network for Surface Defect Detection on Aluminum Profiles

Author 1: Dongxue Zhao Author 2: Shenbo Liu Author 3: Yuanhang Chen Author 4: Da Chen Author 5: Zhelun Hu Author 6: Lijun Tang

In this paper, we leverage the advantages of YOLOv5 in target detection to propose a highly accurate and lightweight network, called LAD-YOLO, for surface defect detection on aluminum profiles. The LAD-YOLO addresses the issues of computational complexity, low precision, and a large number of model parameters encountered in YOLOv5 when… Read full abstract & cite →

YOLOv5 ShuffleNetv2 lightweight and fast spatial pyramid pooling structure convolutional block attention module aluminum profiles surface defect detection
Abstract doi.org/10.14569/IJACSA.2023.0140924 PDF
25

RETRACTED: Improved YOLO-X Model for Tomato Disease Severity Detection using Field Dataset

Author 1: Rajasree R

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IJACSA`s Publication Principles. We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this… Read full abstract & cite →

Convolutional neural network deep learning object classification plant disease detection spatial pyramid pooling YOLOX
Abstract doi.org/10.14569/IJACSA.2023.0140925 PDF
26

He and She in Video Games: Impact of Gendera on Video Game Participation and Perspectives

Author 1: Deena Alghamdi

Playing video games is now considered one of the day-to-day activities of many adolescents and young people. This research studies the gender impact on video game participation and perspectives among college students in the Kingdom of Saudi Arabia (KSA). The data were collected by first conducting discussions involving four focus… Read full abstract & cite →

College students gender differences KSA video games
Abstract doi.org/10.14569/IJACSA.2023.0140926 PDF
27

Hyperparameter Tuning of Semi-Supervised Learning for Indonesian Text Annotation

Author 1: Siti Khomsah Author 2: Nur Heri Cahyana Author 3: Agus Sasmito Aribowo

A crucial issue in sentiment analysis primarily relies on the annotation task involving data labeling. This critical step is typically performed by linguists, as the nuanced meaning of text significantly influences its contextual interpretation. If there is a large volume of data, annotation is time-consuming and financially burdensome. Addressing these… Read full abstract & cite →

Text annotation semi-supervised parameter-tuning grid search random search
Abstract doi.org/10.14569/IJACSA.2023.0140927 PDF
28

Usability Testing of Memorable Word in Security Enhancing in e-Government and e-Financial Systems

Author 1: Hanan Alotaibi Author 2: Dania Aljeaid Author 3: Amal Alharbi

Most applications increase their security by adding an extra layer to the login process using two-factor authentication (2FA). In Saudi Arabia, One-Time Password (OTP), which is 2FA, is the most common method used as users log in to their accounts. However, some issues have emerged with using OTP as 2FA… Read full abstract & cite →

Security usability testing two factor authentication one time password memorable word
Abstract doi.org/10.14569/IJACSA.2023.0140928 PDF
29

Enhanced Brain Tumor Detection and Classification in MRI Scans using Convolutional Neural Networks

Author 1: Ruqsar Zaitoon Author 2: Hussain Syed

Tumor detection is one of the most critical and challenging tasks in the realm of medical image processing due to the risk of incorrect prediction and diagnosis when using human-aided categorization for cancer cell identification. Data input is an intensive process, particularly when dealing with a low-quality scan image, due… Read full abstract & cite →

Multi-layer Convolutional Neural Networks (CNNs) MRI images tumor segmentation and classification deep learning learning rate
Abstract doi.org/10.14569/IJACSA.2023.0140929 PDF
30

Method for Hyperparameter Tuning of Image Classification with PyCaret

Author 1: Kohei Arai Author 2: Jin Shimazoe Author 3: Mariko Oda

A method for hyperparameter tuning of image classification with PyCaret is proposed. The application example compares 14 classification methods and confirms that Extra Trees Classifier has the best performance among them, AUC=0.978, Recall=0.879, Precision=0.969, F1=0.912, Time=0.609 bottom. The Extra Trees Classifier produces a large number of decision trees, similar to… Read full abstract & cite →

PyCaret extra trees classifier AUC gini entropy feature split ROC curve
Abstract doi.org/10.14569/IJACSA.2023.0140930 PDF
31

A Novel Artifact Removal Strategy and Spatial Attention-based Multiscale CNN for MI Recognition

Author 1: Duan Li Author 2: Peisen Liu Author 3: Yongquan Xia

The brain-computer interface (BCI) based on motor imagery (MI) is a promising technology aimed at assisting individuals with motor impairments in regaining their motor abilities by capturing brain signals during specific tasks. However, non-invasive electroencephalogram (EEG) signals collected using EEG caps often contain large numbers of artifacts. Automatically and effectively… Read full abstract & cite →

Motor Imagery (MI) Brain Computer Interface (BCI) EEG signal artifact removal spatial attention Convolutional Neural Network (CNN)
Abstract doi.org/10.14569/IJACSA.2023.0140931 PDF
32

SFFT-CapsNet: Stacked Fast Fourier Transform for Retina Optical Coherence Tomography Image Classification using Capsule Network

Author 1: Michael Opoku Author 2: Benjamin Asubam Weyori Author 3: Adebayo Felix Adekoya Author 4: Kwabena Adu

The work of the Ophthalmologist in manually detecting specific eye related disease is challenging especially screening through large volume of dataset. Deep learning models can leverage on medical imaging like the retina Optical Coherence Tomography (OCT) image dataset to help with the classification task. As a result, many solutions have… Read full abstract & cite →

Capsule network convolution neural network medical imaging optical coherence tomography
Abstract doi.org/10.14569/IJACSA.2023.0140932 PDF
33

Deep Neural Network-based Detection of Road Traffic Objects from Drone-Captured Imagery Focusing on Road Regions

Author 1: Hoanh Nguyen

This paper presents a novel deep learning approach for the detection of traffic objects from drone-based imagery, focusing predominantly on the rapid and accurate detection of vehicles within road sections. The proposed method consists of two primary components: a road segmentation module and a vehicle detection network. The former leverages… Read full abstract & cite →

Deep learning drone images vehicle detection road segmentation data imbalance
Abstract doi.org/10.14569/IJACSA.2023.0140933 PDF
34

Strengthening Network Security: Evaluation of Intrusion Detection and Prevention Systems Tools in Networking Systems

Author 1: Wahyu Adi Prabowo Author 2: Khusnul Fauziah Author 3: Aufa Salsabila Nahrowi Author 4: Muhammad Nur Faiz Author 5: Arif Wirawan Muhammad

This study aims to enhance network security by comprehensively evaluating various Intrusion Detection and Prevention Systems tools in networking systems. The objectives of this research were to assess the performance of different IDPS tools in terms of computer resources utilization, Quality of Service metrics namely delay, jitter, throughput, and packet… Read full abstract & cite →

IDPS network security computer performance Quality of Service DDoS attacks
Abstract doi.org/10.14569/IJACSA.2023.0140934 PDF
35

Hybrid Local Search Algorithm for Optimization Route of Travelling Salesman Problem

Author 1: Muhammad Khahfi Zuhanda Author 2: Noriszura Ismail Author 3: Rezzy Eko Caraka Author 4: Rahmad Syah Author 5: Prana Ugiana Gio

This study explores the Traveling Salesman Problem (TSP) in Medan City, North Sumatra, Indonesia, analyzing 100 geographical locations for the shortest route determination. Four heuristic algorithms—Nearest Neighbor (NN), Repetitive Nearest Neighbor (RNN), Hybrid NN, and Hybrid RNN—are investigated using RStudio software and benchmarked against various problem instances and TSPLIB data… Read full abstract & cite →

Travelling Salesman Problem heuristic algorithms hybridization techniques algorithm performance route optimization
Abstract doi.org/10.14569/IJACSA.2023.0140935 PDF
36

A Systematic Literature Review of Computational Studies in Aquaponic System

Author 1: Khaoula Taji Author 2: Ali Sohail Author 3: Yassine Taleb Ahmad Author 4: Ilyas Ghanimi Author 5: Sheeba Ilyas Author 6: Fadoua Ghanimi

The word aquaponics means the growth of aquatic organisms as well as plants in the controlled environment. As the nutrients used for sustainable plant growth is obtained from aquatic organisms and the nutrients that are absorbed by the plants remediate the water for the aquatic life. The advancement in the… Read full abstract & cite →

Aquaponics machine learning internet of thing (IoT) message queue telemetry transport sensors SMART aquaculture
Abstract doi.org/10.14569/IJACSA.2023.0140936 PDF
37

Cocoa Pods Diseases Detection by MobileNet Confluence and Classification Algorithms

Author 1: Diarra MAMADOU Author 2: Kacoutchy Jean AYIKPA Author 3: Abou Bakary BALLO Author 4: Brou Médard KOUASSI

Cocoa cultivation is of immense importance to the people of Côte d'Ivoire. However, this culture is experiencing significant challenges due to diseases spread by various agents such as bacteria, viruses, and fungi, which cause considerable economic losses. Currently, the methods available to detect these cocoa diseases force farmers to seek… Read full abstract & cite →

Cocoa pods diseases MobileNetV2 classification algorithms machine learning hybrid method
Abstract doi.org/10.14569/IJACSA.2023.0140937 PDF
38

Wireless Capsule Endoscopy Video Summarization using Transfer Learning and Random Forests

Author 1: Parminder Kaur Author 2: Rakesh Kumar

Wireless Capsule Endoscopy (WCE) is a diagnostic technique for identifying gastrointestinal diseases and abnormalities. Gastroenterologists face a considerable challenge when reviewing a lengthy video to identify a disease. The solution to this problem is generating an automated video summarization technique that generates the WCE Video summaries. This paper presents a… Read full abstract & cite →

Bayesian optimization capsule endoscopy MobileNetV2 random forest classifier transfer learning
Abstract doi.org/10.14569/IJACSA.2023.0140938 PDF
39

Contributed Factors in Predicting Market Values of Loaned Out Players of English Premier League Clubs

Author 1: Muhammad Daffa Arviano Putra Author 2: Deshinta Arrova Dewi Author 3: Wahyuningdiah Trisari Putri Author 4: Retno Hendrowati Author 5: Tri Basuki Kurniawan

The top tier of the English football league division is occupied by the English Premier League (EPL). It has become a global phenomenon with exhilarating skills and has been one of the most-watched professional football leagues on the planet. The possibility of a player temporarily playing for a club other… Read full abstract & cite →

Data analytics predicting market value English Premier League loaned out players consumption resource use
Abstract doi.org/10.14569/IJACSA.2023.0140939 PDF
40

Exploring the Challenges and Impacts of Artificial Intelligence Implementation in Project Management: A Systematic Literature Review

Author 1: Muhammad Irfan Hashfi Author 2: Teguh Raharjo

This paper presents a systematic literature review (SLR) investigating the challenges and impacts of implementing artificial intelligence (AI) in project management, specifically mapping them into the process groups defined in the Project Management Body of Knowledge (PMBOK). The study aims to contribute to the understanding of integrating AI in project… Read full abstract & cite →

Artificial intelligence project management PMBOK process groups challenge impact
Abstract doi.org/10.14569/IJACSA.2023.0140940 PDF
41

Deep Residual Convolutional Long Short-term Memory Network for Option Price Prediction Problem

Author 1: Artur Dossatayev Author 2: Ainur Manapova Author 3: Batyrkhan Omarov

In the realm of financial markets, the precise prediction of option prices remains a cornerstone for effective portfolio management, risk mitigation, and ensuring overall market equilibrium. Traditional models, notably the Black-Scholes, often encounter challenges in comprehensively integrating the multifaceted interplay of contemporary market variables. Addressing this lacuna, this study elucidates… Read full abstract & cite →

Deep learning CNN LSTM prediction option price
Abstract doi.org/10.14569/IJACSA.2023.0140941 PDF
42

Factors and Models Influencing Value Co-Creation in the Supply Chain of Collection Resources for Library Distribution Providers Under Data Ecology

Author 1: Xiaoyun Lin

Under the data ecology, the advancement of relevant technology and the utilization of relevant resources have provided more efficient technical services for various industries. However, with the proliferation of data resources, problems such as information pollution and data redundancy have arisen in the process of supply chain services for collection… Read full abstract & cite →

Resource supply chain data mining value co-creation K-Means clustering algorithm pavilion dispenser
Abstract doi.org/10.14569/IJACSA.2023.0140942 PDF
43

A Flexible Manufacturing System based on Virtual Simulation Technology for Building Flexible Platforms

Author 1: Zhangchi Sun

Flexible manufacturing systems have become relatively mature in the industrial field, representing the most advanced research achievements in the development of the manufacturing industry. But currently, there are few resources and high costs in universities to create a system that is more practical, and it cannot meet the practical teaching… Read full abstract & cite →

Flexible platform virtual simulation technology manufacturing control system multi-objective genetic algorithm slotting optimization
Abstract doi.org/10.14569/IJACSA.2023.0140943 PDF
44

Enhanced Plagiarism Detection Through Advanced Natural Language Processing and E-BERT Framework of the Smith-Waterman Algorithm

Author 1: Franciskus Antonius Author 2: Myagmarsuren Orosoo Author 3: Aanandha Saravanan K Author 4: Indrajit Patra Author 5: Prema S

Effective detection has been extremely difficult due to plagiarism's pervasiveness throughout a variety of fields, including academia and research. Increasingly complex plagiarism detection strategies are being used by people, making traditional approaches ineffective. The assessment of plagiarism involves a comprehensive examination encompassing syntactic, lexical, semantic, and structural facets. In contrast… Read full abstract & cite →

Natural language processing encoder representation from transformers document to vector + logistic regression
Abstract doi.org/10.14569/IJACSA.2023.0140944 PDF
45

Comparative Study of Machine Learning Algorithms for Phishing Website Detection

Author 1: Kamal Omari

Phishing, a prevalent online threat where attackers impersonate legitimate organizations to obtain sensitive information from victims, poses a significant cybersecurity challenge. Recent advancements in phishing detection, particularly machine learning-based methods, have shown promising results in countering these malicious attacks. In this study, we developed and compared seven machine learning models… Read full abstract & cite →

Phishing detection cybersecurity machine learning Gradient Boosting Random Forest
Abstract doi.org/10.14569/IJACSA.2023.0140945 PDF
46

Study of the Impact of the Internet of Things Integration on Competition Among 3PLs

Author 1: Kenza Izikki Author 2: Mustapha Hlyal Author 3: Aziz Ait Bassou Author 4: Jamila El Alami

The Third-Party Logistics (3PL) industry plays an important role in modern supply chains, facilitating the efficient movement of goods and optimizing logistics operations. With the advent of advanced technologies, such as the Internet of Things (IoT), automation, artificial intelligence, and data analytics, the landscape of the 3PL industry has undergone… Read full abstract & cite →

Internet of things third party logistics game theory cournot duopoly
Abstract doi.org/10.14569/IJACSA.2023.0140946 PDF
47

A Framework for Predicting Academic Success using Classification Method through Filter-Based Feature Selection

Author 1: Dafid Author 2: Ermatita Author 3: Samsuryadi

Students’ academic success is still a serious problem faced by higher education institutions worldwide. A strategy is needed to increase the students’ academic performance and prevent students from failing. The need to get early accurate information about poor academic performance is a must and could achieved by constructing a prediction… Read full abstract & cite →

Academic success framework filter-based feature selection classifier accuracy
Abstract doi.org/10.14569/IJACSA.2023.0140947 PDF
48

A Performance Analysis of Point CNN and Mask R-CNN for Building Extraction from Multispectral LiDAR Data

Author 1: Asmaa A. Mandouh Author 2: Mahmoud El Nokrashy O. Ali Author 3: Mostafa H.A. Mohamed Author 4: Lamyaa Gamal EL-Deen Taha Author 5: Sayed A. Mohamed

The extraction of buildings from multispectral Light Detection and Ranging (LiDAR) data holds significance in various domains such as urban planning, disaster response, and environmental monitoring. State-of-the-art deep learning models, including Point Convolutional Neural Network (Point CNN) and Mask Region-based Convolutional Neural Network (Mask R-CNN), have effectively addressed this particular… Read full abstract & cite →

Multispectral LiDAR Mask R-CNN Point CNN deep learning building extraction
Abstract doi.org/10.14569/IJACSA.2023.0140948 PDF
49

Securing IoT Devices in e-Health using Machine Learning Techniques

Author 1: Haifa Khaled Alanazi Author 2: A. A. Abd El-Aziz Author 3: Hedi Hamdi

The Internet of Things (IoT) has gained significance over the past several years and is currently one of the most important technologies. The capacity to link everyday objects, such as home appliances, medical equipment, autos, and baby monitors, to the internet via embedded devices with a minimum of human interaction… Read full abstract & cite →

IoT ML DL attack classification e-health
Abstract doi.org/10.14569/IJACSA.2023.0140949 PDF
50

A Multispectral Ariel Image Stitching using Decortification and EEG Signal Extraction Technique

Author 1: Mukul Manohar S Author 2: K N Muralidhara

UAV Videos and other remote-sensing innovations have increased the demand for multispectral image stitching methods, which can gather data on a broad area by looking at different aspects of the same scene. For large-scale hyperspectral remote-sensing images, state-of-the-art techniques frequently have accumulating errors and high processing costs. However, this research… Read full abstract & cite →

EEG signal extraction feature extraction image stitching multispectral image UAV video
Abstract doi.org/10.14569/IJACSA.2023.0140950 PDF
51

Texton Tri-alley Separable Feature Merging (TTSFM) Capsule Network for Brain Tumor Detection

Author 1: Vivian Akoto-Adjepong Author 2: Obed Appiah Author 3: Peter Appiahene Author 4: Patrick Kwabena Mensah

Brain tumors represent one of the most perilous and lethal forms of tumors in both children and adults. Early detection and treatment of such malignant disease types may reduce the mortality rate. However, manual procedures can be used to diagnose such disorders, and this process necessitates a careful, in-depth analysis… Read full abstract & cite →

Texton separable convolutions capsule neural network dynamic routing brain tumor brain tumor detection
Abstract doi.org/10.14569/IJACSA.2023.0140951 PDF
52

Unraveling Ransomware: Detecting Threats with Advanced Machine Learning Algorithms

Author 1: Karam Hammadeh Author 2: M. Kavitha

In our contemporary world, the pervasive influence of information technology, computer engineering, and the Internet has undeniably catalyzed innovation, fostering unparalleled economic growth and revolutionizing education. This technological juggernaut, however, has unwittingly ushered in a parallel era of new criminal frontiers, a magnet for hackers and cybercriminals. These malevolent actors… Read full abstract & cite →

Ransomware cuckoo sandbox PEFile YARA rules machine learning LSTM
Abstract doi.org/10.14569/IJACSA.2023.0140952 PDF
53

K-Means Extensions for Clustering Categorical Data on Concept Lattice

Author 1: Mohammed Alwersh Author 2: László Kovács

Formal Concept Analysis (FCA) is a key tool in knowledge discovery, representing data relationships through concept lattices. However, the complexity of these lattices often hinders interpretation, prompting the need for innovative solutions. In this context, the study proposes clustering formal concepts within a concept lattice, ultimately aiming to minimize lattice… Read full abstract & cite →

Clustering algorithms categorical data k-means cluster analysis formal concept analysis concept lattice
Abstract doi.org/10.14569/IJACSA.2023.0140953 PDF
54

Intelligent Heart Disease Prediction System with Applications in Jordanian Hospitals

Author 1: Mohammad Subhi Al-Batah Author 2: Mowafaq Salem Alzboon Author 3: Raed Alazaidah

Heart disease is the leading cause of mortality worldwide. Early identification and prediction can play a crucial role in preventing and treating it. Based on patient data, machine learning techniques may be used to construct cardiac disease prediction models. This work aims to investigate the usage of machine learning models… Read full abstract & cite →

Heart disease machine learning predictive models classification clinical data predictions
Abstract doi.org/10.14569/IJACSA.2023.0140954 PDF
55

A Novel Approach for Content-based Image Retrieval System using Logical AND and OR Operations

Author 1: Ranjana Battur Author 2: Jagadisha Narayana

This paper proposes an innovative ensemble learning framework for classifying medical images using Support Vector Machine (SVM) and Fuzzy Logic classifiers. The proposed approach utilizes logical AND and OR operations to combine the predictions from the two classifiers, aiming to capitalize on the strengths of each. The SVM and Fuzzy… Read full abstract & cite →

Medical images support vector machine fuzzy logic X-ray images time complexity
Abstract doi.org/10.14569/IJACSA.2023.0140955 PDF
56

Imperative Role of Digital Twin in the Management of Hospitality Services

Author 1: Ramnarayan Author 2: Rajesh Singh Author 3: Anita Gehlot Author 4: Kapil Joshi Author 5: Ashraf Osman Ibrahim Author 6: Anas W. Abulfaraj Author 7: Faisal Binzagr Author 8: Salil Bharany

Digital twin implementation enables more effective terms of evaluation and planning, and also effective utilization of resources with a flood of knowledge to improve the real-time services. The hospitality industry settings utilize digital twin technologies to introduce new ideas with sensor, actuators, AR/VR improve production, and improve customer services. Currently… Read full abstract & cite →

Hospitality industry digital twin sensor and actuator IoT augment and virtual reality
Abstract doi.org/10.14569/IJACSA.2023.0140956 PDF
57

Design of a Hypermodel using Transfer Learning to Detect DDoS Attacks in the Cloud Security

Author 1: Marram Amitha Author 2: Muktevi Srivenkatesh

The present research proposes a detective approach to analyzing the performance of various algorithms used for more accurate detection of Distributed Denial-of-Service (DDoS) attacks in cloud computing. From the start, this study uses machine learning and deep learning to explore whether information security has evolved in recent years. The deployment… Read full abstract & cite →

Machine learning deep learning support vector machine k-nearest neighbors algorithm
Abstract doi.org/10.14569/IJACSA.2023.0140957 PDF
58

Cyberbullying Detection Based on Hybrid Ensemble Method using Deep Learning Technique in Bangla Dataset

Author 1: Md. Tofael Ahmed Author 2: Afroza Sharmin Urmi Author 3: Maqsudur Rahman Author 4: Abu Zafor Muhammad Touhidul Islam Author 5: Dipankar Das Author 6: Md. Golam Rashed

Globalization is certainly a blessing for us. Still, this term also brought such things that are constantly not only creating social insecurities but also diminishing our mental health, and one of them is Cyberbullying. Cyberbullying is not only a misuse of technology but also encourages social harassment among people. Research… Read full abstract & cite →

Bangla dataset cyberbullying exploratory data analysis machine learning deep learning hybrid ensemble method
Abstract doi.org/10.14569/IJACSA.2023.0140958 PDF
59

SE-RESNET: Monkeypox Detection Model

Author 1: Krishnan Thiruppathi Author 2: Selvakumar K Author 3: Vairachilai Shenbagavel

The monkeypox virus, a species of the Orthopoxvirus genus within the family Poxviridae, is answerable for inflicting monkeypox. The symptoms of monkeypox last for about two to three weeks, which is often a self-limiting infection. There may be extreme cases. Recently, the case fatality rate has been in the region… Read full abstract & cite →

Squeeze-and-Excitation (SE) monkeypox poxviridae prodromal chickenpox prodromal
Abstract doi.org/10.14569/IJACSA.2023.0140959 PDF
60

Enhancing Skin Cancer Detection Through an AI-Powered Framework by Integrating African Vulture Optimization with GAN-based Bi-LSTM Architecture

Author 1: N. V. Rajasekhar Reddy Author 2: Araddhana Arvind Deshmukh Author 3: Vuda Sreenivasa Rao Author 4: Sanjiv Rao Godla Author 5: Yousef A.Baker El-Ebiary Author 6: Liz Maribel Robladillo Bravo Author 7: R. Manikandan

One of the more prevalent and severe cancer kinds is thought to be skin cancer. The main objective is to detect the melanoma in initial stage and save millions of lives. One of the most difficult aspects of developing an effective automatic classification system is due to lack of large… Read full abstract & cite →

Skin cancer generative adversarial network Bi-LSTM African Vulture Optimisation (AVO) deep learning (DL)
Abstract doi.org/10.14569/IJACSA.2023.0140960 PDF
61

Enhancing Diabetic Retinopathy Detection Through Machine Learning with Restricted Boltzmann Machines

Author 1: Venkateswara Rao Naramala Author 2: B. Anjanee Kumar Author 3: Vuda Sreenivasa Rao Author 4: Annapurna Mishra Author 5: Shaikh Abdul Hannan Author 6: Yousef A.Baker El-Ebiary Author 7: R. Manikandan

Diabetes is a potentially sight-threatening condition that can lead to blindness if left undetected. Timely diagnosis of diabetic retinopathy, a persistent eye ailment, is critical to prevent irreversible vision loss. However, the traditional method of diagnosing diabetic retinopathy through retinal testing by ophthalmologists is labor-intensive and time-consuming. Additionally, early identification… Read full abstract & cite →

Optic disc (OD) Optic cup (OC) U-network restricted Boltzmann machines squirrel search algorithm
Abstract doi.org/10.14569/IJACSA.2023.0140961 PDF
62

Feline Wolf Net: A Hybrid Lion-Grey Wolf Optimization Deep Learning Model for Ovarian Cancer Detection

Author 1: Moresh Mukhedkar Author 2: Divya Rohatgi Author 3: Veera Ankalu Vuyyuru Author 4: K V S S Ramakrishna Author 5: Yousef A.Baker El-Ebiary Author 6: V. Antony Asir Daniel

Ovarian cancer is a major cause of mortality among gynecological malignancies, emphasizing the critical role of early detection in improving patient outcomes. This paper presents an automated computer-aided design system that combines deep learning techniques with an optimization mechanism for accurate ovarian cancer detection that utilizes pelvic CT images dataset… Read full abstract & cite →

Ovarian cancer deep learning bidirectional long short term memory CT images convolutional neural network lion grey wolf optimization
Abstract doi.org/10.14569/IJACSA.2023.0140962 PDF
63

Utilizing Deep Convolutional Neural Networks and Non-Negative Matrix Factorization for Multi-Modal Image Fusion

Author 1: Nripendra Narayan Das Author 2: Santhakumar Govindasamy Author 3: Sanjiv Rao Godla Author 4: Yousef A.Baker El-Ebiary Author 5: E.Thenmozhi

A key element of contemporary computer vision, image fusion tries to improve the quality and interpretability of images by combining complimentary data from several image sources or modalities. This paper offers a unique method for multi-modal image fusion, combining the benefits of Deep Convolutional Neural Networks (CNNs) and Non-Negative Matrix… Read full abstract & cite →

Image fusion deep convolution network non-negative matrix factorization multi-modal images vector space model
Abstract doi.org/10.14569/IJACSA.2023.0140963 PDF
64

Hybrid Image Encryption using Non-Adjacent Bits Dynamic Encoding DNA with RSA and Chaotic Systems

Author 1: Marwa A. Elmenyawi Author 2: Nada M. Abdel Aziem

Image encryption is a crucial aspect that helps to maintain the images' confidentiality and security in diverse applications. Ongoing research is focused on improving the efficiency and effectiveness of encryption. Image encryption has many practical applications in today's digital world, such as securing confidential images transmitted over networks, protecting sensitive… Read full abstract & cite →

Cryptography image encryption hash function chaotic map DNA encoding DNA operations RSA algorithm
Abstract doi.org/10.14569/IJACSA.2023.0140964 PDF
65

Object Detection and Recognition in Remote Sensing Images by Employing a Hybrid Generative Adversarial Networks and Convolutional Neural Networks

Author 1: Araddhana Arvind Deshmukh Author 2: Mamta Kumari Author 3: V.V. Jaya Rama Krishnaiah Author 4: Suraj Bandhekar Author 5: R. Dharani

Due to diverse backdrops, scale fluctuations, and a lack of annotated training data, the identification and recognition of objects in remote sensing images present major problems. In order to overcome these difficulties, this work suggests a novel hybrid technique that blends GAN and CNN. The suggested approach expands the small… Read full abstract & cite →

Object detection Generative Adversarial Networks (GAN) Convolutional Neural Networks (CNN) deep learning remote sensing satellite images hybrid model
Abstract doi.org/10.14569/IJACSA.2023.0140965 PDF
66

AIRA-ML: Auto Insurance Risk Assessment-Machine Learning Model using Resampling Methods

Author 1: Ahmed Shawky Elbhrawy Author 2: Mohamed A. Belal Author 3: Mohamed Sameh Hassanein

Predicting underwriting risk has become a major challenge due to the imbalanced datasets in the field. A real-world imbalanced dataset is used in this work with 12 variables in 30144 cases, where most of the cases were classified as "accepting the insurance request", while a small percentage classified as "refusing… Read full abstract & cite →

Risk assessment machine learning imbalanced data rapid miner CRISP-DM methodology
Abstract doi.org/10.14569/IJACSA.2023.0140966 PDF
67

An MILP-based Lexicographic Approach for Robust Selective Full Truckload Vehicle Routing Problem

Author 1: Karim EL Bouyahyiouy Author 2: Anouar Annouch Author 3: Adil Bellabdaoui

Full truckload (FTL) shipment is one of the largest trucking modes. It is an essential part of the transportation industry, where the carriers are required to move FTL transportation demands (orders) at a minimal cost between pairs of locations using a certain number of trucks available at the depots. The… Read full abstract & cite →

Vehicle routing problem full truckload robust optimization MILP-based lexicographic approach uncertain travel time
Abstract doi.org/10.14569/IJACSA.2023.0140967 PDF
68

Design of Personalized Recommendation and Sharing Management System for Science and Technology Achievements based on WEBSOCKET Technology

Author 1: Shan Zuo Author 2: Kai Xiao Author 3: Taitian Mao

Scientific research is becoming more and more crucial to contemporary society as the backbone of the nation's innovation-driven development. The rapid growth of information technology and the rise of information technology in scientific research both contribute to the globalization of scientific research. Small research groups still don't have a place… Read full abstract & cite →

Research management personalised recommendations WebSocket ruby on rails informatization
Abstract doi.org/10.14569/IJACSA.2023.0140968 PDF
69

Mechatronics Design and Development of T-EVA: Bio-Sensorized Space System for Astronaut’s Upper Body Temperature Monitoring During Extravehicular Activities on the Moon and Mars

Author 1: Paul Palacios Author 2: Jose Cornejo Author 3: Juan C. Chavez Author 4: Carlos Cornejo Author 5: Jorge Cornejo Author 6: Mariela Vargas Author 7: Natalia I. Vargas-Cuentas Author 8: Avid Roman-Gonzalez Author 9: Julio Valdivia-Silva

The exploration of the universe is progressively increasing, within this inquiry, the planet Mars and the Moon remain a mystery and challenge, as well as its colonization and civilization. Thus, in the extravehicular activities (EVA) where the astronaut will be in extreme environments performing activities such as exploration, and collection… Read full abstract & cite →

Extravehicular-activities astronauts spacesuits body temperature Mars space
Abstract doi.org/10.14569/IJACSA.2023.0140969 PDF
70

Artificial Intelligence-based Volleyball Target Detection and Behavior Recognition Method

Author 1: Jieli Huang Author 2: Wenjun Zou

Volleyball has limitations in relying on judges’ subjective judgments alone to call penalties for infractions in the court. While video detail enhancement technology is extremely useful for target tracking and extraction in sports video, the current research on video detail enhancement technology does not pay much attention to the development… Read full abstract & cite →

Volleyball video detail enhancement hmm CamShift tracking detection recognition
Abstract doi.org/10.14569/IJACSA.2023.0140970 PDF
71

Deep Learning-based Multiple Bleeding Detection in Wireless Capsule Endoscopy

Author 1: Ouiem Bchir Author 2: Ghaida Ali Alkhudhair Author 3: Lena Saleh Alotaibi Author 4: Noura Abdulhakeem Almhizea Author 5: Sara Mohammed Almuhanna Author 6: Shouq Fahad Alzeer

Wireless Capsule Endoscopy (WCE) is a diagnostic technology for gastrointestinal tract pathology detection. It has emerged as an alternative to conventional endoscopy which could be distressing to the patient. However, the diagnosis process requires to view and analyze hundreds of frames extracted from WCE video. This makes the diagnosis tedious… Read full abstract & cite →

Wireless Capsule Endoscopy (WCE) Multiple Bleeding Spots (MBS) Gastrointestinal (GI) disease deep learning pattern recognition
Abstract doi.org/10.14569/IJACSA.2023.0140971 PDF
72

A Novel Feature Fusion for the Classification of Histopathological Carcinoma Images

Author 1: Salini S Nair Author 2: M. Subaji

Breast cancer is a significant global health concern, demanding advanced diagnostic approaches. Although traditional imaging and manual examinations are common, the potential of artificial intelligence (AI) and machine learning (ML) in breast cancer detection remains underexplored. This study proposes a hybrid approach combining image processing and ML methods to address… Read full abstract & cite →

Breast cancer machine learning artificial intelligence feature extraction ensemble classifier
Abstract doi.org/10.14569/IJACSA.2023.0140972 PDF
73

Deep Conv-LSTM Network for Arrhythmia Detection using ECG Data

Author 1: Alisher Mukhametkaly Author 2: Zeinel Momynkulov Author 3: Nurgul Kurmanbekkyzy Author 4: Batyrkhan Omarov

In the evolving realm of medical diagnostics, electrocardiogram (ECG) data stands as a cornerstone for cardiac health assessment. This research introduces a novel approach, leveraging the capabilities of a Deep Convolutional Long Short-Term Memory (Conv-LSTM) network for the early and accurate detection of arrhythmias using ECG data. Traditionally, cardiac anomalies… Read full abstract & cite →

Deep learning Conv-LSTM classification ECG CNN
Abstract doi.org/10.14569/IJACSA.2023.0140973 PDF
74

DetBERT: Enhancing Detection of Policy Violations for Voice Assistant Applications using BERT

Author 1: Rawan Baalous Author 2: Joud Alzahrani Author 3: Mariam Ali Author 4: Rana Asiri Author 5: Eman Nooli

Voice Assistants, also known as VAs, have gained popularity in the last few years. They make our daily tasks easier via simple voice instructions. VAs platforms allow third-party developers to develop voice applications and publish them on the VAs platforms. However, VAs applications may collect users’ personal information for different… Read full abstract & cite →

Alexa Google assistant BERT policy violation detector voice assistant user privacy security
Abstract doi.org/10.14569/IJACSA.2023.0140974 PDF
75

Digital Stethoscope for Early Detection of Heart Disease on Phonocardiography Data

Author 1: Batyrkhan Omarov Author 2: Assyl Tuimebayev Author 3: Rustam Abdrakhmanov Author 4: Bakytgul Yeskarayeva Author 5: Daniyar Sultan Author 6: Kanat Aidarov

The burgeoning realm of digital healthcare has unveiled a novel diagnostic instrument: a digital stethoscope tailored for the early detection of heart disease as elucidated in this research. By harnessing the nuanced capabilities of phonocardiography, this device captures intricate heart sounds, subsequently processed through advanced machine learning algorithms. Traditional stethoscopes… Read full abstract & cite →

Deep learning CNN random forest SVM neural network prediction analysis
Abstract doi.org/10.14569/IJACSA.2023.0140975 PDF
76

Predicting the Level of Safety Feeling of Bangladeshi Internet users using Data Mining and Machine Learning

Author 1: Md. Safiul Alam Author 2: Anirban Roy Author 3: Partha Protim Majumder Author 4: Sharun Akter Khushbu

An amazing combination of cutting-edge data mining and machine learning methodologies to predict the level of safety feeling among Bangladeshi internet users, which is a significant departure in this subject. By leveraging cutting-edge algorithms and innovative data sources, this work provides previously unheard-of insights into how this demographic perceives online… Read full abstract & cite →

Bangladesh data analysis data mining important factors machine learning prediction performance evaluation metrics safety level
Abstract doi.org/10.14569/IJACSA.2023.0140976 PDF
77

A Novel Deep Neural Network to Analyze and Monitoring the Physical Training Relation to Sports Activities

Author 1: Bakhytzhan Omarov Author 2: Nurlan Nurmash Author 3: Bauyrzhan Doskarayev Author 4: Nagashbek Zhilisbaev Author 5: Maxat Dairabayev Author 6: Shamurat Orazov Author 7: Nurlan Omarov

In the research paper, authors meticulously detail the development, testing, and application of an innovative deep learning model aimed at monitoring physical activities of students in real-time. Drawing upon the advanced capabilities of convolutional neural networks (CNNs), the proposed system exhibits an exceptional ability to track, analyze, and evaluate the… Read full abstract & cite →

ANN PoseNET exercise monitoring machine learning neural networks artificial intelligence
Abstract doi.org/10.14569/IJACSA.2023.0140977 PDF
78

Hybrid CNN-LSTM Network for Cyberbullying Detection on Social Networks using Textual Contents

Author 1: Daniyar Sultan Author 2: Mateus Mendes Author 3: Aray Kassenkhan Author 4: Olzhas Akylbekov

In the face of escalating cyberbullying and its associated online activities, devising effective mechanisms for its detection remains a critical challenge. This study proposes an innovative approach, integrating Long Short-Term Memory (LSTM) networks with Convolutional Neural Networks (CNN), for the detection of cyberbullying in online textual content. The method uses… Read full abstract & cite →

Deep learning machine learning NLP classification detection cyberbullying
Abstract doi.org/10.14569/IJACSA.2023.0140978 PDF
79

Real-Time Road Surface Damage Detection Framework based on Mask R-CNN Model

Author 1: Bakhytzhan Kulambayev Author 2: Magzat Nurlybek Author 3: Gulnar Astaubayeva Author 4: Gulnara Tleuberdiyeva Author 5: Serik Zholdasbayev Author 6: Abdimukhan Tolep

In the ever-evolving realm of infrastructure management, the timely and accurate detection of road surface damages is imperative for the longevity and safety of transportation networks. This research paper introduces a pioneering framework centered on the Mask R-CNN (Region-based Convolutional Neural Networks) model for real-time road surface damage detection. The… Read full abstract & cite →

Deep learning CNN random forest SVM neural network prediction analysis
Abstract doi.org/10.14569/IJACSA.2023.0140979 PDF
80

Osteoporosis Detection and Classification of Femur X-ray Images Through Spectral Domain Analysis using Texture Features

Author 1: Dhanyavathi A Author 2: Veena M B

Osteoporosis commonly diagnosed as a bone disorder that affects the significant portion of the population. The Dual X-ray Absorptiometry (DXA) is one of the most accepted standard methods of analyzing the bone disorder, but it is exorbitant. However X-ray is a cost effective, therefore the proposed work introduces a new… Read full abstract & cite →

Classification feature femur images normal osteopenia osteoporosis texture
Abstract doi.org/10.14569/IJACSA.2023.0140980 PDF
81

A Systematic Review on Blockchain Scalability

Author 1: Asmaa Aldoubaee Author 2: Noor Hafizah Hassan Author 3: Fiza Abdul Rahim

Blockchain is an exciting new technology that has garnered attention across multiple industries. This new technology offers several advantages, including decentralization, transparency, and immutability. However, several issues limit the effectiveness of this technology, such as scalability, interoperability, and privacy. A systematic review of blockchain scalability research was conducted using three… Read full abstract & cite →

Blockchain scalability sharding consensus algorithm
Abstract doi.org/10.14569/IJACSA.2023.0140981 PDF
82

Machine Learning Techniques for Diabetes Classification: A Comparative Study

Author 1: Hiri Mustafa Author 2: Chrayah Mohamed Author 3: Ourdani Nabil Author 4: Aknin Noura

In light of the growing global diabetes epidemic, there is a pressing need for enhanced diagnostic tools and methods. Enter machine learning, which, with its data-driven predictive capabilities, can serve as a powerful ally in the battle against this chronic condition. This research took advantage of the Pima Indians Diabetes… Read full abstract & cite →

Machine learning support vector machine artificial neural networks decision tree random forest logistic regression naive bayes principal component analysis classification diabetes
Abstract doi.org/10.14569/IJACSA.2023.0140982 PDF
83

An Optimized Survival Prediction Method for Kidney Transplant Recipients

Author 1: Benita Jose Chalissery Author 2: V. Asha

Human organ transplantation is a lifesaving process for many of the patients suffering from end stage diseases. Transplantation surgeons are often confronted with the question of the expected survival prognosis for this expensive and perilous process.The aim of the work is to identify an optimal model for predicting the survival… Read full abstract & cite →

Cox proportional hazard model random survival forest C-index brier score area under curve organ transplantation survival prognosis
Abstract doi.org/10.14569/IJACSA.2023.0140983 PDF
84

Analyzing RNA-Seq Gene Expression Data for Cancer Classification Through ML Approach

Author 1: Abdul Wahid Author 2: M Tariq Banday

Purpose: Ribonucleic Acid Sequencing (RNA-Seq) is a technique that allows an efficient genome-wide analysis of gene expressions. Such analysis is a strategy for identifying hidden patterns in data, and those related to cancer-specific biomarkers. Prior analyses without samples of different cancer kinds used RNA-Seq data from the same type of… Read full abstract & cite →

RNA-Sequence gene expression feature extraction voting classifier ensemble approach
Abstract doi.org/10.14569/IJACSA.2023.0140984 PDF
85

Historical Building 3D Reconstruction for a Virtual Reality-based Documentation

Author 1: Ahmad Zainul Fanani Author 2: Arry Maulana Syarif

An innovative preservation approach was proposed to document historical buildings in 3D model, and to present it virtually. The approach was applied to the Lawang Sewu building, one of the architectural masterpieces that is part of Indonesian history. Virtual Reality (VR) technology was used to create a Lawang Sewu VR… Read full abstract & cite →

Virtual reality immersive presentation 3D reconstruction historical heritage building preservation
Abstract doi.org/10.14569/IJACSA.2023.0140985 PDF
86

Identifying and Prioritizing Digital Transformation Elements Using Fuzzy Analytic Hierarchy Process

Author 1: Mohammed Hitham M. H Author 2: Hatem Elkadi Author 3: Neamat El Tazi

Digital transformation addresses multiple aspects of the organization. These aspects are the elements to be addressed for the digital transformation in any organization and are categorized as dimensions and sub-dimensions. In this work, these elements are collected from a wide range of related literature (56 publications). The most relevant elements… Read full abstract & cite →

Digital transformation MCDM AHP fuzzy AHP introduction
Abstract doi.org/10.14569/IJACSA.2023.0140986 PDF
87

Machine Learning based Predictive Modelling of Cybersecurity Threats Utilising Behavioural Data

Author 1: Ting Tin Tin Author 2: Khiew Jie Xin Author 3: Ali Aitizaz Author 4: Lee Kuok Tiung Author 5: Teoh Chong Keat Author 6: Hasan Sarwar

With the rapid advancement of technology in Malaysia, the number of cybercrimes is also increasing. To stop the increase in cybercrimes, everyone, including normal citizens, needs to know how secure they are while using digital appliances. A system is developed to predict the risk of users based on their behaviour… Read full abstract & cite →

Cybersecurity threat cybersecurity risk predictive modeling undergraduates cybercrime
Abstract doi.org/10.14569/IJACSA.2023.0140987 PDF
88

Enterprise Marketing Decision: Advertising Click Through Rate Prediction Based on Deep Neural Networks

Author 1: Luyao Zhan

With the high-speed growth of modern information technology, online advertising, as a new form of advertising on the Internet, has begun to emerge, demonstrating enormous development potential. To improve the accurate estimation of advertising placement and improve the operational efficiency of the advertising placement system, an improved deep neural network… Read full abstract & cite →

Click through rate prediction deep learning deep neural network online advertising marketing
Abstract doi.org/10.14569/IJACSA.2023.0140988 PDF
89

Design and Development of an Intelligent Rendering System for New Year's Paintings Color Based on B/S Architecture

Author 1: Zaozao Guo

With the arrival of the synthetic talent era, laptop technological know-how for the safety and inheritance of intangible cultural heritage has added a new way of thinking, and the range of intangible cultural heritage additionally offers greater chances for laptop technology, the utility of laptop talent science to New Year's… Read full abstract & cite →

B/S architecture intelligent rendering adversarial neural network Chinese New Year painting
Abstract doi.org/10.14569/IJACSA.2023.0140989 PDF
90

Using EEG Effective Connectivity Based on Granger Causality and Directed Transfer Function for Emotion Recognition

Author 1: Weisong Wang Author 2: Wenjing Sun

Emotion is a complex phenomenon that originates from everyday issues and has significant effects on individual decisions. Electroencephalography (EEG) is one of the widely used tools in examining the neural correlates of emotions. In this research, two concepts of Granger causality and directional transfer function were utilized to analyze EEG… Read full abstract & cite →

EEG effective connectivity granger causality directed transfer function emotion recognition
Abstract doi.org/10.14569/IJACSA.2023.0140990 PDF
91

Development of an Image Encryption Algorithm using Latin Square Matrix and Logistics Map

Author 1: Emmanuel Oluwatobi Asani Author 2: Godsfavour Biety-Nwanju Author 3: Abidemi Emmanuel Adeniyi Author 4: Salil Bharany Author 5: Ashraf Osman Ibrahim Author 6: Anas W. Abulfaraj Author 7: Wamda Nagmeldin

The goal of this study was to develop a robust image cryptographic scheme based on Latin Square Matrix and Logistics Map, capable of effectively securing sensitive data. Logistics mapping is a comparatively strong chaos system which enciphers with an unpredictability that significantly reduces the chance of deciphering. Additionally, the Latin… Read full abstract & cite →

Image encryption algorithm logistics map Latin square matrix chaos technology
Abstract doi.org/10.14569/IJACSA.2023.0140991 PDF
92

Tampering Detection and Segmentation Model for Multimedia Forensic

Author 1: Manjunatha S Author 2: Malini M Patil Author 3: Swetha M D Author 4: Prabhu Vijay S S

When an image undergoes hybrid post-processing transformation, detecting tamper region, localizing it and segmentation becomes very difficult tasks. In particular, when a copy-move attack with hybrid transformation has similar contrast and illumination parameters with an authenticated image it makes tamper detection difficult. Alongside, under small-smooth attack existing tamper identification model… Read full abstract & cite →

Convolution neural networks digital image forensic hybrid image transformation resampling feature segmentation
Abstract doi.org/10.14569/IJACSA.2023.0140992 PDF
93

PRESSNet: Assessment of Building Damage Caused by the Earthquake

Author 1: Dewa Ayu Defina Audrey Nathania Author 2: Alexander Agung Santoso Gunawan Author 3: Edy Irwansyah

Loss of life and property often occur due to natural disasters and other significant occurrences like earthquakes, which make manual damage assessment a time-consuming and inefficient process. In an attempt to address this challenge, researchers have been investigating the field of automated damage assessment in Remote Sensing. With time, this… Read full abstract & cite →

Remote sensing deep learning PSPNet ResNet spatial attention
Abstract doi.org/10.14569/IJACSA.2023.0140993 PDF
94

Group Intelligence Recommendation System based on Knowledge Graph and Fusion Recommendation Model

Author 1: Chengning Huang Author 2: Bo Jing Author 3: Lili Jiang Author 4: Yuquan Zhu

The challenge of how to further improve the accuracy of the system's recommendations in a data-limited environment is crucial as the use of group intelligence recommendation systems in everyday life increases. Through the fusion of different types of auxiliary information, this study develops a multi-feature fusion model based on the… Read full abstract & cite →

Knowledge graphs recommendation system graph convolutional networks label propagation algorithms
Abstract doi.org/10.14569/IJACSA.2023.0140994 PDF
95

Statistical Language Model-based Analysis of English Corpora and Literature

Author 1: Wenwen Chai

Despite widespread use of statistical language models in language processing, their ability to process natural languages is not advanced and they struggle to effectively capture linguistic information. Furthermore, there is a lack of automatic processing models in the field of natural language processing. In order to address these issues, and… Read full abstract & cite →

Statistical language model corpus English literature reordering grammatical analysis
Abstract doi.org/10.14569/IJACSA.2023.0140995 PDF
96

Marginal Distribution Algorithm for Feature Model Test Configuration Generation

Author 1: Mohd Zanes Sahid Author 2: Mohd Zainuri Saringat Author 3: Mohd Hamdi Irwan Hamzah Author 4: Nurezayana Zainal

Generating test configuration for Software Product Line (SPL) is difficult, due to the exponential effect of feature combination. Pairwise testing can generate test input for a single software product that deviates from exhaustive testing, nevertheless proven to be effective. In the context of SPL testing, to generate minimal test configuration… Read full abstract & cite →

Estimation of distribution algorithm marginal distribution algorithm test configuration generation pairwise testing software product line
Abstract doi.org/10.14569/IJACSA.2023.0140996 PDF
97

A QoS-Aware Resource Allocation Method for Internet of Things using Ant Colony Optimization Algorithm and Tabu Search

Author 1: Shuling YIN Author 2: Renping YU

In today's computing era, the Internet of Things (IoT) stands out for its implementation of automation, high-quality ecosystems, creative and efficient services, and higher productivity. IoT has found applications in various fields, such as education, healthcare, agriculture, military, and industry, where diverse resource requirements present a major challenge. To address… Read full abstract & cite →

Internet of things resource allocation virtualization Ant Colony Optimization Tabu Search
Abstract doi.org/10.14569/IJACSA.2023.0140997 PDF
98

Artificial Rabbits Optimizer with Deep Learning Model for Blockchain-Assisted Secure Smart Healthcare System

Author 1: Mousa Mohammed Khubrani

Smart healthcare is based on the electronic health and medical histories of residents, combined with information technology (IT) which can be used to construct a variety of systems including humanised health management systems and convenient medical service systems. The transparency, traceability, decentralization and security of BC technology and machine learning… Read full abstract & cite →

Blockchain smart healthcare artificial rabbit’s optimizer deep learning intrusion detection
Abstract doi.org/10.14569/IJACSA.2023.0140998 PDF
99

A QoS-aware Mechanism for Reducing TCP Retransmission Timeouts using Network Tomography

Author 1: Jingfu LI

A wide range of web-based applications uses the Transmission Control Protocol (TCP) to ensure network resources are shared efficiently and fairly. As wired and wireless networks have become more complex, various end-to-end Congestion Control (CC) schemes have been developed, offering solutions through their proposed TCP variants. Network tomography, a powerful… Read full abstract & cite →

Latency network tomography end to end depending on the probe
Abstract doi.org/10.14569/IJACSA.2023.0140999 PDF
100

Routing Strategies and Protocols for Efficient Data Transmission in the Internet of Vehicles: A Comprehensive Review

Author 1: Yijun Xu

The Internet of Vehicles (IoV) integrates wireless communication, vehicular technology, and the Internet to create intelligent transportation systems. Efficient routing of data packets within the IoV is crucial for seamless communication and service enablement. This paper provides a comprehensive review of routing strategies and protocols in the IoV environment, categorizing… Read full abstract & cite →

Internet of things internet of vehicles Vehicular Ad Hoc Networks (VANETs) routing network adaptability vehicular technology
Abstract doi.org/10.14569/IJACSA.2023.01409100 PDF
101

Design and Implementation Submarine Cable Object Detection YOLOv4 based with Graphical User Interface (GUI) for Remotely Operated Vehicle (ROV)

Author 1: Fikri Arif Wicaksana Author 2: Eueung Mulyana Author 3: Syarif Hidayat Author 4: Rahadian Yusuf

The use of submarine cables as underwater transmission channels for distributing electrical energy in Indonesian waters is crucial. However, the detection and maintenance of submarine cables still heavily rely on human observation, leading to limitations in time and subjective interpretations. This research aims to design and implement an underwater object… Read full abstract & cite →

Submarine cable object detection GUI ROV YOLOv4
Abstract doi.org/10.14569/IJACSA.2023.01409101 PDF
102

Research on Clothing Color Classification Method based on Improved FCM Clustering Algorithm

Author 1: Jinliang Liu

In the apparel industry, apparel color is an important factor to enhance the market competitiveness of enterprise products. However, the current prediction samples of clothing fashion color styling information do not incorporate practical cutting-edge fashion information. Therefore, Self-adaptive Weighted Kernel Function (SWK) has been introduced to traditional Fuzzy C-Means (FCM)… Read full abstract & cite →

Fuzzy clustering SWK-FCM fashion color scheme Gaussian noise
Abstract doi.org/10.14569/IJACSA.2023.01409102 PDF
103

Next-Generation Intrusion Detection and Prevention System Performance in Distributed Big Data Network Security Architectures

Author 1: Michael Hart Author 2: Rushit Dave Author 3: Eric Richardson

Big data systems are expanding to support the rapidly growing needs of massive scale data analytics. To safeguard user data, the design and placement of cybersecurity systems is also evolving as organizations to increase their big data portfolios. One of several challenges presented by these changes is benchmarking real-time big… Read full abstract & cite →

Big data systems zero trust architecture benchmarking distributed denial of service attacks
Abstract doi.org/10.14569/IJACSA.2023.01409103 PDF
104

Machine Learning for Smart Cities: A Comprehensive Review of Applications and Opportunities

Author 1: Xiaoning Dou Author 2: Weijing Chen Author 3: Lei Zhu Author 4: Yingmei Bai Author 5: Yan Li Author 6: Xiaoxiao Wu

The smart city concept originated a few years ago as a combination of ideas about how information and communication technologies can improve urban life. With the advent of the digital revolution, many cities globally are investing heavily in designing and implementing smart city solutions and projects. Machine Learning (ML) has… Read full abstract & cite →

Smart city machine learning artificial intelligence intelligent transportation system smart grids
Abstract doi.org/10.14569/IJACSA.2023.01409104 PDF
105

Two Dimensional Deep CNN Model for Vision-based Fingerspelling Recognition System

Author 1: Zhadra Kozhamkulova Author 2: Elmira Nurlybaeva Author 3: Leilya Kuntunova Author 4: Shirin Amanzholova Author 5: Marina Vorogushina Author 6: Mukhit Maikotov Author 7: Kaden Kenzhekhan

This paper presents a novel approach to fingerspelling recognition in real-time, utilizing a two-dimensional Convolutional Neural Network (2D CNN). Existing recognition systems often fall short in real-world conditions due to variations in illumination, background, and user-specific characteristics. Our method addresses these challenges, delivering significantly improved performance. Leveraging a robust 2D… Read full abstract & cite →

Fingerspelling recognition computer vision CNN machine learning deep learning
Abstract doi.org/10.14569/IJACSA.2023.01409105 PDF
106

Non-contact Respiratory Rate Monitoring Based on the Principal Component Analysis

Author 1: Hoda El Boussaki Author 2: Rachid Latif Author 3: Amine Saddik Author 4: Zakaria El Khadiri Author 5: Hicham El Boujaoui

Assessing respiratory rate is a critical determinant of one’s health status. The proposed approach relies on principal component analysis (PCA) for the continuous monitoring of breathing rate using an RGB camera. This method employs re-mote plethysmography, a video-based technique enabling contact-less tracking of blood volume fluctuations by detecting variations in… Read full abstract & cite →

RGB breathing rate non-contact principal component analysis plethysmography
Abstract doi.org/10.14569/IJACSA.2023.01409106 PDF
107

An Improved Genetic Algorithm with Chromosome Replacement and Rescheduling for Task Offloading

Author 1: Hui Fu Author 2: Guangyuan Li Author 3: Fang Han Author 4: Bo Wang

End-Edge-Cloud Computing (EECC) has been applied in many fields, due to the increased popularity of smart devices. But the cooperation of end devices, edge and cloud resources is still challenge for improving service quality and resource efficiency in EECC. In this paper, we focus on the task offloading to address… Read full abstract & cite →

Genetic algorithm task offloading task scheduling edge computing cloud computing
Abstract doi.org/10.14569/IJACSA.2023.01409107 PDF
108

An Efficient Convolutional Neural Network Classification Model for Several Sign Language Alphabets

Author 1: Ahmed Osman Mahmoud Author 2: Ibrahim Ziedan Author 3: Amr Ahmed Zamel

Although deaf people represent over 5% of the world’s population, according to what the World Health Organization stated in May 2022, they suffer from social and economic marginalization. One way to improve the lives of deaf people is to try to make communication between them and others easier. Sign language… Read full abstract & cite →

Convolutional neural network (CNN) sign language Arabic sign language (ArSL) American sign language (ASL) Korean sign language (KSL) Complexity time
Abstract doi.org/10.14569/IJACSA.2023.01409108 PDF
109

Enhancing Outdoor Mobility and Environment Perception for Visually Impaired Individuals Through a Customized CNN-based System

Author 1: Athulya N K Author 2: Sivakumar Ramachandran Author 3: Neetha George Author 4: Ambily N Author 5: Linu Shine

Visual impairment indicates any kind of vision loss including blindness. Individuals with visual impairments face significant challenges when trying to perceive their surroundings from a global perspective and navigating unfamiliar environments. Existing assistive technologies predominantly focus on obstacle avoidance, neglecting to provide comprehensive information about the overall environment. To address… Read full abstract & cite →

Visually impaired Terrain identification Puddle detection Deep learning
Abstract doi.org/10.14569/IJACSA.2023.01409109 PDF
110

ArCyb: A Robust Machine-Learning Model for Arabic Cyberbullying Tweets in Saudi Arabia

Author 1: Khalid T. Mursi Author 2: Abdulrahman Y. Almalki Author 3: Moayad M. Alshangiti Author 4: Faisal S. Alsubaei Author 5: Ahmed A. Alghamdi

The widespread use of computers and smartphones has led to an increase in social media usage, where users can express their opinions freely. However, this freedom of expression can be misused for spreading abusive and bullying content online. To ensure a safe online environment, cybersecurity experts are continuously researching effective… Read full abstract & cite →

Natural language processing machine learning neural network bullying cyberbullying
Abstract doi.org/10.14569/IJACSA.2023.01409110 PDF
111

Development of a Touchless Control System for a Clinical Robot with Multimodal User Interface

Author 1: Julio Alegre Luna Author 2: Anthony Vasquez Rivera Author 3: Alejandra Loayza Mendoza Author 4: Jes´us Talavera S. Author 5: Andres Montoya A

This article introduces the development of a multi-modal user interface for touchless control of a clinical robot. This system seamlessly integrates distinct control modalities: voice commands, an accelerometer-embedded gauntlet, and a virtual reality (VR) headset to display real-time robot video and system alerts. By synergizing these control approaches, a more… Read full abstract & cite →

Multimodal user interface human–robot interaction clinical robot
Abstract doi.org/10.14569/IJACSA.2023.01409111 PDF
112

Dual-Level Blind Omnidirectional Image Quality Assessment Network Based on Human Visual Perception

Author 1: Deyang Liu Author 2: Lu Zhang Author 3: Lifei Wan Author 4: Wei Yao Author 5: Jian Ma Author 6: Youzhi Zhang

With the rapid development of virtual reality (VR) technology, a large number of omnidirectional images (OIs) with uncertain quality are flooding into the internet. As a result, Blind Omnidirectional Image Quality Assessment (BOIQA) has become increasingly urgent. The existing solutions mainly focus on manually or automatically extracting high-level features from… Read full abstract & cite →

Omnidirectional image quality assessment dual-level network human visual perception human attention multi-scale
Abstract doi.org/10.14569/IJACSA.2023.01409112 PDF
113

A Novel Voice Feature AVA and its Application to the Pathological Voice Detection Through Machine Learning

Author 1: Abdulrehman Altaf Author 2: Hairulnizam Mahdin Author 3: Ruhaila Maskat Author 4: Shazlyn Milleana Shaharudin Author 5: Abdullah Altaf Author 6: Awais Mahmood

Voice pathology is a universal problem which must be addressed. Traditionally, this malady is treated by using the surgical instruments in the varied healthcare settings. In the current era, machine learning experts have paid an increasing attention towards the solution of this problem by exploiting the signal processing of the… Read full abstract & cite →

Pathological voice healthy voice voice feature amplitudes machine learning
Abstract doi.org/10.14569/IJACSA.2023.01409113 PDF
114

Improved Model for Smoke Detection Based on Concentration Features using YOLOv7tiny

Author 1: Yuanpan ZHENG Author 2: Liwei Niu Author 3: Xinxin GAN Author 4: Hui WANG Author 5: Boyang XU Author 6: Zhenyu WANG

Smoke is often present in the early stages of a fire. Detecting low smoke concentration and small targets during these early stages can be challenging. This paper proposes an improved smoke detection algorithm that leverages the characteristics of smoke concentration using YOLOv7tiny. The improved algorithm consists of the following components… Read full abstract & cite →

YOLOv7tiny smoke detection dark channel smoke concentration feature fusion depthwise separable convolution
Abstract doi.org/10.14569/IJACSA.2023.01409114 PDF
115

Virtual Machine Allocation in Cloud Computing Environments using Giant Trevally Optimizer

Author 1: Hai-yu Zhang

Cloud computing has gained prominence due to its potential for computational tasks, but the associated energy consumption and carbon emissions remain significant challenges. Allocating Virtual Machines (VMs) to Physical Machines (PMs) in cloud data centers, a known NP-hard problem, offers an avenue for enhancing energy efficiency. This paper presents an… Read full abstract & cite →

Cloud computing resource allocation virtualization Giant Trevally Optimizer
Abstract doi.org/10.14569/IJACSA.2023.01409115 PDF
116

Corpus Generation to Develop Amharic Morphological Segmenter

Author 1: Terefe Feyisa Author 2: Seble Hailu

Morphological segmenter is an important component in Amharic natural language processing systems. Despite this fact, Amharic lacks large amount of morphologically segmented corpus. Large amount of corpus is often a requirement to develop neural network-based language technologies. This paper presents an alternative method to generate large amount of morph-segmented corpus… Read full abstract & cite →

Amharic Amharic morphology segmentation corpus seq2seq under-resourced languages
Abstract doi.org/10.14569/IJACSA.2023.01409116 PDF
117

A Novel Fingerprint Liveness Detection Method using Empirical Mode Decomposition and Neural Network

Author 1: Shekun Tong Author 2: Chunmeng Lu

One of the most common biometric systems is fingerprint identification, which has been misused due to issues such as fraud. Hence, intelligent methods should be designed and used to recognize real-live fingerprints. Therefore, in the current work, we proposed a novel liveness fingerprint detection framework with low computational cost and… Read full abstract & cite →

Fingerprint liveness biometric neural network empirical mode decomposition
Abstract doi.org/10.14569/IJACSA.2023.01409117 PDF
118

Providing a Hybrid and Symmetric Encryption Solution to Provide Security in Cloud Data Centers

Author 1: Desong Shen

One of the most crucial components of information technology infrastructure in the modern world is cloud data centers. Customers have access to these data centers' infrastructure and software, which enable them to store and process massive amounts of data. However, the security and protection of private data in cloud data… Read full abstract & cite →

Hybrid encryption algorithm security cloud computing symmetric algorithms
Abstract doi.org/10.14569/IJACSA.2023.01409118 PDF
119

A Single-Stage Deep Learning-based Approach for Real-Time License Plate Recognition in Smart Parking System

Author 1: Lina YU Author 2: Shaokun LIU

License plate recognition in smart parking systems plays a crucial role in enhancing parking management efficiency and security. Traditional methods and deep learning-based approaches have been explored for license plate recognition. Deep learning methods have gained prominence due to their ability to extract meaningful features and achieve high accuracy rates… Read full abstract & cite →

Smart parking license plate recognition deep learning single-stage detector Yolo
Abstract doi.org/10.14569/IJACSA.2023.01409119 PDF
120

Enhancing Decision-Making with Data Science in the Internet of Things Environments

Author 1: Lei Hu Author 2: Yangxia Shu

The Internet of Things (IoT) has emerged as a transformative technology, enabling various devices to interconnect and generate vast amounts of data. The insights contained within this data can revolutionize industries and improve decision-making processes. The heterogeneity, scale, and complexity of IoT data pose challenges for efficient analysis and utilization… Read full abstract & cite →

Internet of Things IoT data data science data preprocessing machine learning real-time analytics
Abstract doi.org/10.14569/IJACSA.2023.01409120 PDF
121

A Fruit Ripeness Detection Method using Adapted Deep Learning-based Approach

Author 1: Weiwei Zhang

Fruit ripeness detection plays a crucial role in precise agriculture, enabling optimal harvesting and post-harvest handling. Various methods have been investigated in the literature for fruit ripeness detection in vision-based systems, with deep learning approaches demonstrating superior accuracy compared to other approaches. However, the current research challenge lies in achieving… Read full abstract & cite →

Fruit ripeness detection precise agriculture deep learning vision system YOLOv8
Abstract doi.org/10.14569/IJACSA.2023.01409121 PDF
122

A New Method for Intrusion Detection in Computer Networks using Computational Intelligence Algorithms

Author 1: Yanrong HAO Author 2: Shaohui YAN

This paper introduces a novel and integrated approach to intrusion detection in computer networks that makes use of the benefits of both abuse detection and anomaly detection techniques. The proposed method combines anomaly detection and abuse detection technologies to enhance intrusion detection functionality. The intrusion detection system is implemented using… Read full abstract & cite →

Decision tree network intrusion detection particle swarm algorithm basic-radial neural network frog jump algorithm
Abstract doi.org/10.14569/IJACSA.2023.01409122 PDF
123

Autism Diagnosis using Linear and Nonlinear Analysis of Resting-State EEG and Self-Organizing Map

Author 1: Jie Xu Author 2: Wenxiao Yang

The prevalence of autism has increased dramatically in recent years and many people around the world are facing this difficult condition. There is a need to develop an objective method to diagnose autism. Various analysis methods have been used to classify the EEG signals of people with autism, from linear… Read full abstract & cite →

Autism EEG linear analysis nonlinear analysis neural network
Abstract doi.org/10.14569/IJACSA.2023.01409123 PDF
124

A Composite Noise Removal Network Based on Multi-domain Adaptation

Author 1: Fan Bai Author 2: Pengfei Li Author 3: Haoyang Sun Author 4: Hui Zhang

Addressing the limitation of conventional single-scene image denoising algorithms in filtering mixed environmental disturbances, and recognizing the drawbacks of cascaded image enhancement algorithms, which have poor real-time performance and high computational demands, The composite weather adaptive denoising network (CWADN) is proposed. A Cascade Hourglass Feature Extraction Network is constructed with… Read full abstract & cite →

Image denoising domain adaptation generative adversarial network autoencoder
Abstract doi.org/10.14569/IJACSA.2023.01409124 PDF
IJACSA Journal Cover

Important Dates

Volume 17 No. 11, November 2026
Paper Submission Due October 25, 2026
Review Notification November 15, 2026
Publication Date November 30, 2026
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IJACSA