IJACSA Vol. 14 Issue 2 (2023)

1

Organizational Digital Transformations and the Importance of Assessing Theoretical Frameworks such as TAM, TTF, and UTAUT: A Review

Author 1: Bibhu Dash Author 2: Pawankumar Sharma Author 3: Swati Swayamsiddha

In this era of Industry 5.0, businesses worldwide are attempting to gain competitive advantages, increase profits, and improve consumer engagement. To achieve their goals, all businesses undergo extensive digital transformations (DT) by implementing cutting-edge technologies such as cloud computing, artificial intelligence (AI), the Internet of Things, and blockchain, among others… Read full abstract & cite →

Data growth digital transformations TAM TTF UTAUT sustainability FTM

Abstract doi.org/10.14569/IJACSA.2023.0140201 PDF

2

Adversarial Sampling for Fairness Testing in Deep Neural Network

Author 1: Tosin Ige Author 2: William Marfo Author 3: Justin Tonkinson Author 4: Sikiru Adewale Author 5: Bolanle Hafiz Matti

In this research, we focus on the usage of adversarial sampling to test for the fairness in the prediction of deep neural network model across different classes of image in a given dataset. While several framework had been proposed to ensure robustness of machine learning model against adversarial attack, some… Read full abstract & cite →

Adversarial machine learning adversarial attack adversarial defense machine learning fairness fairness testing adversarial sampling deep neural network

Abstract doi.org/10.14569/IJACSA.2023.0140202 PDF

3

Text2Simulate: A Scientific Knowledge Visualization Technique for Generating Visual Simulations from Textual Knowledge

Author 1: Ifeoluwatayo A. Ige Author 2: Bolanle F. Oladejo

Recent research has developed knowledge visualization techniques for generating interactive visualizations from textual knowledge. However, when applied, these techniques do not generate precise semantic visual representations, which is imperative for domains that require an accurate visual representation of spatial attributes and relationships between objects of discourse in explicit knowledge. Therefore… Read full abstract & cite →

Knowledge visualization visual simulation text-to-simulation knowledge visualization technique natural language processing electronic learning

Abstract doi.org/10.14569/IJACSA.2023.0140203 PDF

4

A Review on Artificial Intelligence in the Context of Industry 4.0

Author 1: Shadi Banitaan Author 2: Ghaith Al-refai Author 3: Sattam Almatarneh Author 4: Hebah Alquran

Artificial Intelligence (AI) is seen as the most promising among Industry 4.0 advancements for businesses. Artificial intelligence, defined as computer models that mimic intelligent behavior, is poised to unleash the next wave of digital disruption and bring a competitive advantage to the industry. The value of AI lies not in… Read full abstract & cite →

Artificial intelligence Industry 4.0 intelligent manufacturing industry analysis

Abstract doi.org/10.14569/IJACSA.2023.0140204 PDF

5

A Machine Learning Enabled Hall-Effect IoT-System for Monitoring Building Vibrations

Author 1: Emanuele Lattanzi Author 2: Paolo Capellacci Author 3: Valerio Freschi

Vibration monitoring of civil infrastructures is a fundamental task to assess their structural health, which can be nowadays carried on at reduced costs thanks to new sensing devices and embedded hardware platforms. In this work, we present a system for monitoring vibrations in buildings based on a novel, cheap, Hall-effect… Read full abstract & cite →

Vibration sensor machine learning hall-effect

Abstract doi.org/10.14569/IJACSA.2023.0140205 PDF

6

Sequence Recommendation based on Deep Learning

Author 1: Gulsim Rysbayeva Author 2: Jingwei Zhang

Sequence recommendation systems have become increasingly popular in various fields such as movies and social media. These systems aim to predict a user's preferences and interests based on their past behavior and provide them with personalized recommendations. Deep learning, particularly Recurrent Neural Networks (RNNs), have emerged as a powerful tool… Read full abstract & cite →

Long short-term memory (LSTM) and gated recurrent unit (GRU) RNN deep learning recommendation systems

Abstract doi.org/10.14569/IJACSA.2023.0140206 PDF

7

Routing Overhead Aware Optimal Cluster based Routing Algorithm for IoT Network using Heuristic Technique

Author 1: Srinivasulu M Author 2: Shiva Murthy G

Globally, billion of devices in heterogeneous networks are interconnected by the Internet of Things (IoT). IoT applications require a centralized decision-making system due to the failure-prone connectivity and high latency of such a system. Low-latency communications are a primary characteristic of applications. Since IoT applications usually have small payload sizes… Read full abstract & cite →

Internet-of-things communication overhead cluster based routing multipath routing cluster head

Abstract doi.org/10.14569/IJACSA.2023.0140207 PDF

8

Supply Chain Network Model using Multi-Agent Reinforcement Learning for COVID-19

Author 1: Tomohito Okada Author 2: Hiroshi Sato Author 3: Masao Kubo

The COVID-19 vaccination management in Japan has revealed many problems. The number of vaccines available was clearly less than the number of people who wanted to be vaccinated. Initially, the system was managed by making reservations with age group utilizing vaccination coupons. After the second round of vaccinations, only appointments… Read full abstract & cite →

Supply chain management agent based model multi-agent reinforcement learning COVID-19 vaccination

Abstract doi.org/10.14569/IJACSA.2023.0140208 PDF

9

An Enhanced MCDM Model for Cloud Service Provider Selection

Author 1: Ayman S. Abdelaziz Author 2: Hany Harb Author 3: Alaa Zaghloul Author 4: Ahmed Salem

Multi-Criteria Decision-Making (MCDM) techniques are often used to aid decision-makers in selecting the best alternative among several options. However, these systems have issues, including the Rank Reversal Problem (RRP) and decision-making ambiguity. This study aimed to propose a selection model for a Cloud Service Provider (CSP) that addresses these issues… Read full abstract & cite →

MCDM TOPSIS neutrosophic set single valued neutrosophic cloud services provider quality of service

Abstract doi.org/10.14569/IJACSA.2023.0140209 PDF

10

Dynamic Software Architecture Design for Virtual Rehabilitation System for Manual Motor Dexterity

Author 1: Edwin Enrique Saavedra Parisaca Author 2: Solansh Jaqueline Montoya Muñoz Author 3: Elizabeth Vidal Duarte Author 4: Eveling Gloria Castro Gutierrez Author 5: Angel Yvan Choquehuanca Peraltilla Author 6: Sergio Albiol Pérez

The architectural design is fundamental in the construction process of a virtual rehabilitation system since it allows to understand the components and their interaction, and it is a guide to develop the software. This article proposes a dynamic architecture design that could be used independently of software and hardware in… Read full abstract & cite →

Software architecture dynamic architecture virtual rehabilitation systems motor dexterity

Abstract doi.org/10.14569/IJACSA.2023.0140210 PDF

11

Insights into Search Engine Optimization using Natural Language Processing and Machine Learning

Author 1: Vinutha M S Author 2: M C Padma

Among the potential tools in digital marketing, Search Engine Optimization (SEO) facilitates the use of appropriate data by providing appropriate results according to the search priority of the user. Various research-based approaches have been developed to improve the optimization performance of search engines over the past decade; however, it is… Read full abstract & cite →

Search engine optimization google search natural language processing machine learning recommendation

Abstract doi.org/10.14569/IJACSA.2023.0140211 PDF

12

Adaptive Rectified Linear Unit (Arelu) for Classification Problems to Solve Dying Problem in Deep Learning

Author 1: Ibrahim A. Atoum

A convolutional neural network (CNN) is a subset of machine learning as well as one of the different types of artificial neural networks that are used for different applications and data types. Activation functions (AFs) are used in this type of network to determine whether or not its neurons are… Read full abstract & cite →

Rectified Linear Unit (ReLU) Convolutional Neural Network activation function deep learning MNIST dataset machine learning

Abstract doi.org/10.14569/IJACSA.2023.0140212 PDF

13

Espousing AI to Enhance Cost-Efficient and Immersive Experience for Human Computer Interaction

Author 1: Deepak Chaturvedi Author 2: Ashima Arya Author 3: Mohammad Zubair Khan Author 4: Eman Aljohani Author 5: Liyakathunisa Author 6: Vaishali Arya Author 7: Namrata Sukhija Author 8: Prakash Srivastava

Because of recent technological and interface advancements in the field, the virtual reality (VR) movement has entered a new era. Mobility is one of the most crucial behaviours in virtual reality. In this research, popular virtual reality mobility systems are compared, and it is shown that gesture control is a… Read full abstract & cite →

Artificial intelligence dizziness gestures human computer interaction user experience virtual reality

Abstract doi.org/10.14569/IJACSA.2023.0140213 PDF

14

Implementation of Big Data Privacy Preservation Technique for Electronic Health Records in Multivendor Environment

Author 1: Ganesh Dagadu Puri Author 2: D. Haritha

Various diagnostic health data formats and standards include both structured and unstructured data. Sensitive information contained in such metadata requires the development of specific approaches that can combine methods and techniques that can extract and reconcile the information hidden in such data. However, when this data needs to be processed… Read full abstract & cite →

Privacy preservation data privacy data distribution anonymization slicing privacy attacks HDFS

Abstract doi.org/10.14569/IJACSA.2023.0140214 PDF

15

Churn Customer Estimation Method based on LightGBM for Improving Sales

Author 1: Kohei Arai Author 2: Ikuya Fujikawa Author 3: Yusuke Nakagawa Author 4: Ryuya Momozaki Author 5: Sayuri Ogawa

Churn customer estimation method is proposed for improving sales. By analyzing the differences between customers who churn and customers who do not churn (returning), we will conduct a customer churn analysis to reduce customer churn and take steps to reduce the number of unique customers. By predicting customers who are… Read full abstract & cite →

LightGBM (light gradient boosting machine) EDA (exploratory data analysis) churn prediction linear regression gradient boosting method GradientBoostingClassifier: GBC

Abstract doi.org/10.14569/IJACSA.2023.0140215 PDF

16

Privacy Preservation Modelling for Securing Image Data using Novel Ethereum-based Ecosystem

Author 1: Chhaya S Dule Author 2: Roopashree H. R

The broad usage of images in real-time applications demands a cloud infrastructure due to its advantages. Many use cases are built where the image data is shared, sharing becomes the core function, and the medical domain takes its broad advantage. The cloud is a centralized infrastructure for its all-operation usages… Read full abstract & cite →

Blockchain data security Ethereum image data privacy security

Abstract doi.org/10.14569/IJACSA.2023.0140216 PDF

17

Music Note Feature Recognition Method based on Hilbert Space Method Fused with Partial Differential Equations

Author 1: Liqin Liu

Hilbert space method is an old mathematical theoretical model developed based on linear algebra and has a high theoretical value and practical application. The basic idea of the Hilbert space method is to use the existence of some stable relationship between variables and to use the dynamic dependence between variables… Read full abstract & cite →

Partial differential equation Hilbert space method musical note feature recognition method cepstral coefficients empirical modal

Abstract doi.org/10.14569/IJACSA.2023.0140217 PDF

18

Hyperparameter Optimization of Support Vector Regression Algorithm using Metaheuristic Algorithm for Student Performance Prediction

Author 1: M. Riki Apriyadi Author 2: Ermatita Author 3: Dian Palupi Rini

Improving student learning performance requires proper preparation and strategy so that it has an impact on improving the quality of education. One of the preparatory steps is to make a prediction modeling of student performance. Accurate student performance prediction models are needed to help teachers develop the potential of diverse… Read full abstract & cite →

Student performance feature selection particle swarm optimization genetic algorithm support vector regression

Abstract doi.org/10.14569/IJACSA.2023.0140218 PDF

19

Experimental Analysis and Monitoring of Photovoltaic Panel Parameters

Author 1: Zaidan Didi Author 2: Ikram El Azami

In this article, we establish a technique based on the internet of things to simultaneously monitor the main values that characterize a photovoltaic solar panel. This technique allows to discover the problems and the monstrosities during the operation. This study also allows to collect the parameters and quantities measured for… Read full abstract & cite →

Current sensor bluetooth low consumption photovoltaic panel Esp32 microcontroller

Abstract doi.org/10.14569/IJACSA.2023.0140219 PDF

20

Hybrid Feature Selection Algorithm and Ensemble Stacking for Heart Disease Prediction

Author 1: Nureen Afiqah Mohd Zaini Author 2: Mohd Khalid Awang

In cardiology, as in other medical specialties, early and accurate diagnosis of heart disease is crucial as it has been the leading cause of death over the past few decades. Early prediction of heart disease is now more crucial than ever. However, the state-of-the-art heart disease prediction strategy put more… Read full abstract & cite →

Heart disease prediction feature selection stacking accuracy

Abstract doi.org/10.14569/IJACSA.2023.0140220 PDF

21

Automatic Extraction of Indonesian Stopwords

Author 1: Harry Tursulistyono Yani Achsan Author 2: Heru Suhartanto Author 3: Wahyu Catur Wibowo Author 4: Deshinta A. Dewi Author 5: Khairul Ismed

The rapid growth of the Indonesian language content on the Internet has drawn researchers’ attention. By using natural language processing, they can extract high-value information from such content and documents. However, processing large and numerous documents is very time-consuming and computationally expensive. Reducing these computational costs requires attribute reduction by… Read full abstract & cite →

Stopwords extraction attributes reduction TF-IDF large corpus Indonesian stopwords NLP

Abstract doi.org/10.14569/IJACSA.2023.0140221 PDF

22

Software Effort Estimation through Ensembling of Base Models in Machine Learning using a Voting Estimator

Author 1: Beesetti Kiran Kumar Author 2: Saurabh Bilgaiyan Author 3: Bhabani Shankar Prasad Mishra

For a long time, researchers have been working to predict the effort of software development with the help of various machine learning algorithms. These algorithms are known for better understanding the underlying facts inside the data and improving the prediction rate than conventional approaches such as line of code and… Read full abstract & cite →

Machine learning software effort estimation voting regression evolutionary algorithms

Abstract doi.org/10.14569/IJACSA.2023.0140222 PDF

23

An Effective Heart Disease Prediction Framework based on Ensemble Techniques in Machine Learning

Author 1: Deepali Yewale Author 2: S. P. Vijayaragavan Author 3: V. K. Bairagi

To design a framework for effective prediction of heart disease based on ensemble techniques, without the need of feature selection, incorporating data balancing, outlier detection and removal techniques, with results that are still at par with cutting-edge research. In this study, the Cleveland dataset, which has 303 occurrences, is used… Read full abstract & cite →

Machine learning heart disease ensemble techniques random over sampling isolation forest

Abstract doi.org/10.14569/IJACSA.2023.0140223 PDF

24

Explaining the Outputs of Convolutional Neural Network - Recurrent Neural Network (CNN-RNN) based Apparent Personality Detection Models using the Class Activation Maps

Author 1: WMKS Ilmini Author 2: TGI Fernando

This study aims to use the Class Activation Map (CAM) visualisation technique to understand the outputs of apparent personality detection models based on a combination of Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). The ChaLearn Looking at People First Impression (CVPR'17) dataset is used for experimentation in this… Read full abstract & cite →

Apparent personality detection (APD) convolutional neural network based recurrent neural network (CNN-RNN) class activation map (CAM) explainable AI (XAI)

Abstract doi.org/10.14569/IJACSA.2023.0140224 PDF

25

Landmark Recognition Model for Smart Tourism using Lightweight Deep Learning and Linear Discriminant Analysis

Author 1: Mohd Norhisham Razali Author 2: Enurt Owens Nixon Tony Author 3: Ag Asri Ag Ibrahim Author 4: Rozita Hanapi Author 5: Zamhar Iswandono

Scene recognition algorithm is crucial for landmark recognition model development. Landmark recognition model is one of the main modules in the intelligent tour guide system architecture for the use of smart tourism industry. However, recognizing the tourist landmarks in the public places are challenging due to the common structure and… Read full abstract & cite →

Scene recognition convolutional neural network smart tourism feature selections

Abstract doi.org/10.14569/IJACSA.2023.0140225 PDF

26

Performance Comparison of the Kernels of Support Vector Machine Algorithm for Diabetes Mellitus Classification

Author 1: Dimas Aryo Anggoro Author 2: Dian Permatasari

Diabetes Mellitus is a disease where the body cannot use insulin properly, so this disease is one of the health problems in various countries. Diabetes Mellitus can be fatal, cause other diseases, and even lead to death. Based on this, it is essential to have prediction activities to find out… Read full abstract & cite →

Diabetes mellitus kernel normalization oversampling SVM

Abstract doi.org/10.14569/IJACSA.2023.0140226 PDF

27

Deep Study of CRF Models for Speech understanding in Limited Task

Author 1: Marwa Graja

In this paper, we propose to evaluate in depth CRF models (Conditional Random Fields) for speech-understanding in limited task. To evaluate these models, we design several models that differ according to the level of integration of local dependencies in the same turn. As we propose to evaluate these models on… Read full abstract & cite →

Speech understanding Arabic dialect CRF models

Abstract doi.org/10.14569/IJACSA.2023.0140227 PDF

28

Paw Search – A Searching Approach for Unsorted Data Combining with Binary Search and Merge Sort Algorithm

Author 1: Md. Harun Or Rashid Author 2: Ahmed Imtiaz

Searching is one of the oldest core mechanism of nature. Nature is changing gradually along with searching approaches too. Data Mining is one of the most important industrials topic now-a-days. Under this area all social networks, governmental or non-governmental institutions and ecommerce industries produce a huge number of unsorted data… Read full abstract & cite →

Paw search unsorted data blocks square root

Abstract doi.org/10.14569/IJACSA.2023.0140228 PDF

29

A Survey of Forensic Analysis and Information Visualization Approach for Instant Messaging Applications

Author 1: Shahnaz Pirzada Author 2: Nurul Hidayah Ab Rahman Author 3: Niken Dwi Wahyu Cahyani Author 4: Muhammad Fakri Othman

Instant messaging applications, including WhatsApp, Viber, and WeChat, are moving beyond text messages to videos and voice calls, which are proportioned to current media, files, and locations. In this study, we surveyed existing forensic visualization and forensic analysis techniques for instant messaging applications, with the aim of contributing to the… Read full abstract & cite →

Forensic analysis forensic visualization instant messaging apps mobile forensics and mobile communication apps

Abstract doi.org/10.14569/IJACSA.2023.0140229 PDF

30

Driving Maneuvers Recognition and Classification Using A Hyprid Pattern Matching and Machine Learning

Author 1: Munaf Salim Najim Al-Din

Since most of the road and traffic accidents are related to human errors or distraction, the study of irregular driving behaviors is considered one of the most important research topics in this field. To prevent road accidents and assess driving competencies, there is an urgent need to evaluate driving behavior… Read full abstract & cite →

Driving behavior classification driving maneuvers pattern matching machine learning

Abstract doi.org/10.14569/IJACSA.2023.0140230 PDF

31

An Approach to Automatic Garbage Detection Framework Designing using CNN

Author 1: Akhilesh Kumar Sharma Author 2: Antima Jain Author 3: Deevesh Chaudhary Author 4: Shamik Tiwari Author 5: Hairulnizam Mahdin Author 6: Zirawani Baharum Author 7: Shazlyn Milleana Shaharudin Author 8: Ruhaila Maskat Author 9: Mohammad Syafwan Arshad

This paper proposes a system for automatic detection of litter and garbage dumps in CCTV feeds with the help of deep learning implementations. The designed system named Greenlock scans and identifies entities that resemble an accumulation of garbage or a garbage dump in real time and alerts the respective authorities… Read full abstract & cite →

Garbage detection resnet tensorflow CNN

Abstract doi.org/10.14569/IJACSA.2023.0140231 PDF

32

Tamper Proof Air Quality Management System using Blockchain

Author 1: Vaneeta M Author 2: Deepa S R Author 3: Sangeetha V Author 4: Kamalakshi Naganna Author 5: Kruthika S Vasisht Author 6: Ashwini J Author 7: Nikitha M Author 8: Srividya H. R

One of the most important concerns facing urban regions across the world is air pollution. As a result, it's critical to monitor pollution levels and notify the public on the state of the air. An indicator called the Air Quality Index (AQI) does this by mapping the concentration of different… Read full abstract & cite →

Air pollution air quality index machine learning blockchain technology

Abstract doi.org/10.14569/IJACSA.2023.0140232 PDF

33

Optimized Strategy for Inter-Service Communication in Microservices

Author 1: Sidath Weerasinghe Author 2: Indika Perera

In the last decade, many enterprises have moved their software deployments to the cloud. As a result of this transmission, the cloud providers stepped ahead and introduced various new technologies for their offerings. People cannot gain the expected advantages from cloud-based solutions merely by transferring monolithic architecture-based software to the… Read full abstract & cite →

Microservices software architecture inter-service communication performance streams

Abstract doi.org/10.14569/IJACSA.2023.0140233 PDF

34

Deep Learning based Analysis of MRI Images for Brain Tumor Diagnosis

Author 1: Srinivasarao Gajula Author 2: V. Rajesh

This Identification and examination of brain tumour are critical components of any indication system, as evidenced by extensive research and methodological advancement over the years. As part of this approach, an efficient automated system must be put in place to enhance the rate of tumor identification. Today, manually examining thousands… Read full abstract & cite →

Convolutional neural networks (CNN) magnetic resonance imaging (MRI) principal components analysis (PCA)

Abstract doi.org/10.14569/IJACSA.2023.0140234 PDF

35

Classification of Psychological Disorders by Feature Ranking and Fusion using Gradient Boosting

Author 1: Saba Tahseen Author 2: Ajit Danti

Negative emotional regulation is a defining element of psychological disorders. Our goal was to create a machine-learning model to classify psychological disorders based on negative emotions. EEG brainwave dataset displaying positive, negative, and neutral emotions. However, negative emotions are responsible for psychological health. In this paper, research focused solely on… Read full abstract & cite →

Electroencephalograph (EEG) psychological disorders negative state emotions gridSearchCV gradient boosting classifier

Abstract doi.org/10.14569/IJACSA.2023.0140235 PDF

36

Public Response to the Legalization of The Criminal Code Bill with Twitter Data Sentiment Analysis

Author 1: Deny Irawan Author 2: Dana Indra Sensuse Author 3: Prasetyo Adi Wibowo Putro Author 4: Aji Prasetyo

The Criminal Code Bill, also known as Rancangan Kitab Undang-undang Hukum Pidana (RKUHP), passed in the House of Representatives (DPR) on December 6, 2022, is being debated because several issues need to be fixed. Therefore, research was conducted to determine the public's reaction to the ratification of the Criminal Code… Read full abstract & cite →

Sentiment analysis RKUHP support vector Machine (SVM) Naïve Bayes classification and regression tree (CART)

Abstract doi.org/10.14569/IJACSA.2023.0140236 PDF

37

Evaluation of QoS over IEEE 802.11 Wireless Network in the Implementation of Internet Protocols Mobility Supporting

Author 1: Narimane Elhilali Author 2: Mostapha Badri Author 3: Mouncef Filali Bouami

Now-a-days, the internet is an essential part of our digital lives. With the growing number of users, the ultimate goal is to enable all users to stay connected to the internet at anytime and anywhere, regardless of their mobility. Any delay or jitter in the system can cause a deterioration… Read full abstract & cite →

QoS MIPv4 MIPv6 handover mobility priority

Abstract doi.org/10.14569/IJACSA.2023.0140237 PDF

38

Using Deep Learning Algorithms to Diagnose Coronavirus Disease (COVID-19)

Author 1: Nfayel Alanazi Author 2: Yasser Kotb

With the rapid development in the area of Machine Learning (ML) and Deep learning, it is important to exploit these tools to contribute to mitigating the effects of the coronavirus pandemic. Early diagnosis of the presence of this virus in the human body can be crucially helpful to healthcare professionals… Read full abstract & cite →

Component COVID-19 transfer learning deep learning ResNet50 VGG16 GoogleNet

Abstract doi.org/10.14569/IJACSA.2023.0140238 PDF

39

Enhanced Optimized Classification Model of Chronic Kidney Disease

Author 1: Shahinda Elkholy Author 2: Amira Rezk Author 3: Ahmed Abo El Fetoh Saleh

Chronic kidney disease (CKD) is one of the leading causes of death across the globe, affecting about 10% of the world's adult population. Kidney disease affects the proper function of the kidneys. As the number of people with chronic kidney disease (CKD) rises, it is becoming increasingly important to have… Read full abstract & cite →

Machine learning (ML) feature selection (FS) chronic kidney disease (CKD) deep belief network (DBN) grasshopper's optimization algorithm (GOA)

Abstract doi.org/10.14569/IJACSA.2023.0140239 PDF

40

Automated Categorization of Research Papers with MONO Supervised Term Weighting in RECApp

Author 1: Ivic Jan A. Biol Author 2: Rhey Marc A. Depositario Author 3: Glenn Geo T. Noangay Author 4: Julian Michael F. Melchor Author 5: Cristopher C. Abalorio Author 6: James Cloyd M. Bustillo

Natural Language Processing, specifically text classification or text categorization, has become a trend in computer science. Commonly, text classification is used to categorize large amounts of data to allocate less time to retrieve information. Students, as well as research advisers and panelists, take extra effort and time in classifying research… Read full abstract & cite →

Text classification supervised tern weighting schemes optical character recognition machine learning algorithms

Abstract doi.org/10.14569/IJACSA.2023.0140240 PDF

41

R-Diffset vs. IR-Diffset: Comparison Analysis in Dense and Sparse Data

Author 1: Julaily Aida Jusoh Author 2: Sharifah Zulaikha Tengku Hassan Author 3: Wan Aezwani Wan Abu Bakar Author 4: Syarilla Iryani Ahmad Saany Author 5: Mohd Khalid Awang Author 6: Norlina Udin @ Kamaruddin

The mining of concealed information from databases using Association Rule Mining seems to be promising. The successful extraction of this information will give a hand to many areas by aiding them in the process of finding solutions, economic projecting, commercialization policies, medical inspections, and numbers of other problems. ARM is… Read full abstract & cite →

R-Diffset IR-Diffset dense data sparse data comparison analysis

Abstract doi.org/10.14569/IJACSA.2023.0140241 PDF

42

A Fully Immersive Virtual Reality Cycling Training (vProCycle) and its Findings

Author 1: Imran Bin Mahalil Author 2: Azmi Bin Mohd Yusof Author 3: Nazrita Binti Ibrahim Author 4: Eze Manzura Binti Mohd Mahidin Author 5: Ng Hui Hwa

Virtual reality (VR) technology is popularly applied in various sports training such as cycling, rowing, soccer, tennis and many more. In VR cycling, however, cyclists are not able to fully immerse themselves during the training due to the hardware and applications limitations required in the setup. In order to be… Read full abstract & cite →

Virtual Reality (VR) presence level technology acceptance cycling performance VR cycling training vProCycle

Abstract doi.org/10.14569/IJACSA.2023.0140242 PDF

43

First Responders Space Subdivision Framework for Indoor Navigation

Author 1: Asep Id Hadiana Author 2: Safiza Suhana Kamal Baharin Author 3: Zahriah Othman

Indoor navigation is crucial, particularly during indoor disasters such as fires. However, current spatial subdivision models struggle to adapt to the dynamic changes that occur in such situations, making it difficult to identify the appropriate navigation space, and thus reducing the accuracy and efficiency of indoor navigation. This study presents… Read full abstract & cite →

Space subdivision indoor navigation first responders indoor disaster

Abstract doi.org/10.14569/IJACSA.2023.0140243 PDF

44

Leaf Diseases Identification and Classification of Self-Collected Dataset on Groundnut Crop using Progressive Convolutional Neural Network (PGCNN)

Author 1: Anna Anbumozhi Author 2: Shanthini A

A healthy crop is required to provide high-quality food for daily consumption. Crop leaf diseases have more influence on agronomic production and our country. Earlier, many scholars relied on traditional techniques to detect and classify leaf diseases. Furthermore, classification at an early stage is impossible when there are not enough… Read full abstract & cite →

Leaf Diseases Identification (LDI) Progressive Groundnut Convolutional Neural Networks (PGCNN) Self-Collected Dataset AlexNet VGG Models

Abstract doi.org/10.14569/IJACSA.2023.0140244 PDF

45

Enhancing Image for CNN-based Diagnostic of Pediatric Pneumonia through Chest Radiographs

Author 1: Vaishali Arya Author 2: Tapas Kumar

In underdeveloped nations, severe lower respiratory infections are the principal reasons of infant mortality. The best treatments and early diagnosis are now being used to alleviate this issue. In developing nations, better treatment and prevention approaches are still required. Clinical, microbial, and radiographic clinical studies have a broad range of… Read full abstract & cite →

Contrast enhancement convolution neural network pediatric pneumonia radiography white balancing

Abstract doi.org/10.14569/IJACSA.2023.0140245 PDF

46

Long Short-Term Memory for Non-Factoid Answer Selection in Indonesian Question Answering System for Health Information

Author 1: Retno Kusumaningrum Author 2: Alfi F. Hanifah Author 3: Khadijah Khadijah Author 4: Sukmawati N. Endah Author 5: Priyo S. Sasongko

Providing reliable health information to a community can help raise awareness of the dangers of diseases, their causes, methods of prevention, and treatment. Indonesians are facing various health problems partly due to the lack of health information; hence, the community needs media that can effectively provide reliable health information, namely… Read full abstract & cite →

Answer selection health information long short-term memory LSTM question answering

Abstract doi.org/10.14569/IJACSA.2023.0140246 PDF

47

Assessment of the Healthcare Administration of Senior Citizens from Survey Data using Sentiment Analysis

Author 1: Ramona Michelle M. Magtangob Author 2: Thelma D. Palaoag

Healthcare is most frequently used by older people and understanding how they feel about the way healthcare administration gives them the attention and support they need, is crucial to building a healthcare system that is effective in meeting their needs. This study determined the seniors' opinions on the healthcare administration… Read full abstract & cite →

Sentiment analysis opinion mining senior citizen healthcare services

Abstract doi.org/10.14569/IJACSA.2023.0140247 PDF

48

Hierarchical Pretrained Deep Learning Features for the Breast Cancer Classification

Author 1: Abeer S. Alsheddi

Breast cancer is a common and fatal disease among women worldwide. Accurately and early diagnosing of breast cancer plays a pivotal role in improving the prognosis of patients. Recently, advanced techniques of artificial intelligence and natural image classification have been used for the breast cancer image classification task and have… Read full abstract & cite →

Feature extraction CNN models Pretrained models breast cancer classification

Abstract doi.org/10.14569/IJACSA.2023.0140248 PDF

49

A Survey on Attention-Based Models for Image Captioning

Author 1: Asmaa A. E. Osman Author 2: Mohamed A. Wahby Shalaby Author 3: Mona M. Soliman Author 4: Khaled M. Elsayed

Image captioning task is highly used in many real-world applications. The captioning task is concerned with understanding the image using computer vision methods. Then, natural language processing methods are used to produce a description for the image. Different approaches were proposed to solve this task, and deep learning attention-based models… Read full abstract & cite →

Image captioning attention model deep learning computer vision natural language processing

Abstract doi.org/10.14569/IJACSA.2023.0140249 PDF

50

Towards an Automatic Speech-to-Text Transcription System: Amazigh Language

Author 1: Ahmed Ouhnini Author 2: Brahim Aksasse Author 3: Mohammed Ouanan

Various studies inside the domain of research and the development of automatic speech recognition (ASR) technologies for several languages have not yet been published and thoroughly investigated. Nevertheless, the unique acoustic features of the Amazigh language, for example, Amazigh's consonant emphasis, pose many obstacles to the development of automatic speech… Read full abstract & cite →

Speech recognition system Amazigh language analyzing formants and pitch speech corpus artificial intelligence

Abstract doi.org/10.14569/IJACSA.2023.0140250 PDF

51

Graphical User Interfaces Generation from BPMN (Business Process Model and Notation) via IFML (Interaction Flow Modeling Language) up to PSM (Platform Specific Model) Level

Author 1: Abir Sajji Author 2: Yassine Rhazali Author 3: Youssef Hadi

The fundamental concept behind the MDA (Model Driven Architecture) approach is the development of many models, first the Computation Independent Model (CIM), then the Platform Independent Model (PIM), and lastly the Platform Specific Model (PSM) for the concrete implementation of the system. Web applications are just one example of customized… Read full abstract & cite →

MDA (Model Driven Architecture) CIM (Computation Independent Model) PIM (Platform Independent Model) PSM (Platform Specific Model) Model transformations Graphical User Interfaces BPMN (Business Process Model and Notation) IFML (Interaction Flow Modeling Language) Webratio tool

Abstract doi.org/10.14569/IJACSA.2023.0140251 PDF

52

A Fuzzy Logic based Solution for Network Traffic Problems in Migrating Parallel Crawlers

Author 1: Mohammed Faizan Farooqui Author 2: Mohammad Muqeem Author 3: Sultan Ahmad Author 4: Jabeen Nazeer Author 5: Hikmat A. M. Abdeljaber

Search engines are the instruments for website navigation and search, because the Internet is big and has expanded greatly. By continuously downloading web pages for processing, search engines provide search facilities and maintain indices for web documents. Online crawling is the term for this process of downloading web pages. This… Read full abstract & cite →

Web crawler incremental crawling fuzzy logic-based system fuzzy logic toolbox

Abstract doi.org/10.14569/IJACSA.2023.0140252 PDF

53

A Privacy-Centered Protocol for Enhancing Security and Authentication of Academic Certificates

Author 1: Omar S. Saleh Author 2: Osman Ghazali Author 3: Norbik Bashah Idris

Academic certificate authentication is crucial in safeguarding the rights and opportunities of individuals who have earned academic credentials. This authentication helps prevent fraud and forgery, ensuring that only those who have genuinely earned certificates can use them for education and career opportunities. With the increased use of online education and… Read full abstract & cite →

Academic certificates privacy-centered protocol privacy preservation challenge handshake authentication protocol

Abstract doi.org/10.14569/IJACSA.2023.0140253 PDF

54

A Systematic Literature Review on AI Algorithms and Techniques Adopted by e-Learning Platforms for Psychological and Emotional States

Author 1: Lubna A. Alharbi

Computers are becoming increasingly commonplace in educational settings. As a result of these advancements, a new field known as CEHL (Computing Environment for Human Learning) or e-learning has emerged, where students have access to a variety of services at their convenience. Using an e-learning platform facilitates more efficient, optimized, and… Read full abstract & cite →

Psychological states emotional states e-learning online platforms solutions

Abstract doi.org/10.14569/IJACSA.2023.0140254 PDF

55

Privacy and Integrity Verification Model with Decentralized ABE and Double Encryption Storage Scheme

Author 1: Amrutha Muralidharan Nair Author 2: R Santhosh

To support a wide range of applications, cloud computing has a variety of services. It has a number of positive acceptance tales as well as a couple of negative ones including security breaches. The versatile usage of cloud services to store Sensitive and personal data in cloud become hesitated by… Read full abstract & cite →

Cloud computing data integrity ABK-XE ECEA Algorithm SHA1

Abstract doi.org/10.14569/IJACSA.2023.0140255 PDF

56

Design of a Hybrid Recommendation Algorithm based on Multi-objective Collaborative Filtering for Massive Cloud Data

Author 1: Xiaoli Zhou

The current recommendation technology has some problems, such as lack of timeliness, the contradiction between recommendation diversity and accuracy. In order to solve the problem of lack of timeliness, the time factor is introduced when constructing the self-preference model. The cold start problem in the collaborative filtering algorithm is solved… Read full abstract & cite →

Self preference collaborative filtering potential preferences mixed recommendation multi-objective optimization

Abstract doi.org/10.14569/IJACSA.2023.0140256 PDF

57

Equally Spread Current Execution Load Modelling with Optimize Response Time Brokerage Policy for Cloud Computing

Author 1: Anisah Hamimi Zamri Author 2: Nor Syazwani Mohd Pakhrudin Author 3: Shuria Saaidin Author 4: Murizah Kassim

Cloud computing is one of the significant technologies that is used to provide seamless internet surfing for large-scale applications and data storing purposes. The cloud is described as a large platform that enables users to access data from the internet without needing to buy storing space in their equipment such… Read full abstract & cite →

Equally spread current execution (ESCE) optimize response time brokerage cloud computing load balancer data modelling

Abstract doi.org/10.14569/IJACSA.2023.0140257 PDF

58

Research on the Derivative Rule and Estimation Methods of Intelligent High-Speed Railway Investment Estimation

Author 1: Yang Meng Author 2: Chuncheng Meng Author 3: Xiaochen Duan

Taking the investment estimation of intelligent construction of high-speed railway as the research object, based on the historical data of investment of similar high-speed railway projects, this paper builds an explanatory structure model, establishes an system dynamic (SD) model of investment estimation of intelligent construction of high-speed railway, and puts… Read full abstract & cite →

High-speed railway intelligent construction investment estimation interpretative structural model system dynamics

Abstract doi.org/10.14569/IJACSA.2023.0140258 PDF

59

Early Warning for Sugarcane Growth using Phenology-Based Remote Sensing by Region

Author 1: Sudianto Sudianto Author 2: Yeni Herdiyeni Author 3: Lilik Budi Prasetyo

It is crucial to know crop growing in order to increase agricultural productivity. In sugarcane's case, monitoring growth can be supported by remote sensing. This research aimed to develop an early warning for sugarcane growth using remote sensing with Landsat 8 satellite at a crucial phenological time. The early warning… Read full abstract & cite →

Google earth engine landsat 8 monitoring and assessment sugarcane health

Abstract doi.org/10.14569/IJACSA.2023.0140259 PDF

60

Fault Tolerance Smart Egg Incubation System with Computer Vision

Author 1: Emiliyan Petkov Author 2: Teodor Kalushkov Author 3: Donika Valcheva Author 4: Georgi Shipkovenski

Reliability of incubators is one of their most important specifications. Development of wireless, cloud and computer vision based technologies gives new possibilities for work process control and increasing fault tolerance. Regardless of whether the hatching is in the field of mass production or in the breeding of rare species of… Read full abstract & cite →

Hatching incubation computer vision cloud architecture sending alerts smart farming internet of things

Abstract doi.org/10.14569/IJACSA.2023.0140260 PDF

61

A Novel Hybrid Deep Learning Framework for Detection and Categorization of Brain Tumor from Magnetic Resonance Images

Author 1: Yousef Methkal Abd Algani Author 2: B. Nageswara Rao Author 3: Chamandeep Kaur Author 4: B. Ashreetha Author 5: K. V. Daya Sagar Author 6: Yousef A. Baker El-Ebiary

Cellular abnormality leads to brain tumour formation. This is one of the foremost reasons of adult death all over the world. The typical size of a brain tumour increases within 25 days due to its rapid growth. Early brain tumour diagnosis can save millions of lives. For the purpose of… Read full abstract & cite →

Brain tumour BGWO LSTM CNN MRI dataset

Abstract doi.org/10.14569/IJACSA.2023.0140261 PDF

62

Multi Feature DCR based Drug Compound Selection and Recommendation System for Efficient Decision-Making using Genetic Algorithm

Author 1: ST. Aarthy Author 2: J. L. Mazher Iqbal

The performance of treating the cardiac diseases is dependent on the kind of drug being selected. There exist numerous decisive support systems which work according to certain characteristics and factors like drug availability, and popularity. Still, they struggle to achieve expected performance in supporting the medical practitioner. To handle this… Read full abstract & cite →

Decisive support Systems GA DCR drug selection compound selection fitness recommendation system cardiac disease RMDCRSR

Abstract doi.org/10.14569/IJACSA.2023.0140262 PDF

63

The Predictors of Mobile Banking Usage: A Systematic Literature Review

Author 1: Mohammed Abd Al-Munaf Hashim Author 2: Zainuddin Bin Hassan

Mobile banking has become an essential method to conduct banking transaction. However, number of users worldwide are still limited. The purpose of this study is to review the literature and understand the status of m-banking adoption, usage, and loyalty. Keywords were used to search for related articles in three databases… Read full abstract & cite →

M-banking TAM Service quality Loyalty UTAUT

Abstract doi.org/10.14569/IJACSA.2023.0140263 PDF

64

A Novel Approach: Tokenization Framework based on Sentence Structure in Indonesian Language

Author 1: Johannes Petrus Author 2: Ermatita Author 3: Sukemi Author 4: Erwin

This study proposes a new approach in the sentence tokenization process. Sentence tokenization, which is known so far, is the process of breaking sentences based on spaces as separators. Space-based sentence tokenization only generates single word tokens. In sentences consisting of five words, tokenization will produce five tokens, one word… Read full abstract & cite →

Token tokenization multi-word sentence structure sentence elements

Abstract doi.org/10.14569/IJACSA.2023.0140264 PDF

65

An Efficient Real-Time Weed Detection Technique using YOLOv7

Author 1: Ch. Lakshmi Narayana Author 2: Kondapalli Venkata Ramana

Since farming is becoming increasingly more expensive, efficient farming entails doing so without suffering any losses, which is what the current situation desires. Weeds are a key issue in agriculture since they contribute significantly to agricultural losses. To control the weed, pesticides are now evenly applied across the entire area… Read full abstract & cite →

Weed detection YOLOv7 early crop weed deep learning

Abstract doi.org/10.14569/IJACSA.2023.0140265 PDF

66

Sobel Edge Detection Algorithm with Adaptive Threshold based on Improved Genetic Algorithm for Image Processing

Author 1: Weibin Kong Author 2: Jianzhao Chen Author 3: Yubin Song Author 4: Zhongqing Fang Author 5: Xiaofang Yang Author 6: Hongyan Zhang

In this paper, a novel adaptive threshold Sobel edge detection algorithm based on the improved genetic algorithm is proposed to detect edges. Because of the influence of external factors in actual detection process, the result of detection is often not accurate enough when the configured threshold of the target image… Read full abstract & cite →

Genetic algorithm Sobel operator edge detection adaptive threshold

Abstract doi.org/10.14569/IJACSA.2023.0140266 PDF

67

Compiler Optimization Prediction with New Self-Improved Optimization Model

Author 1: Chaitali Shewale Author 2: Sagar B. Shinde Author 3: Yogesh B. Gurav Author 4: Rupesh J. Partil Author 5: Sandeep U. Kadam

Users may now choose from a vast range of compiler optimizations. These optimizations interact in a variety of sophisticated ways with one another and with the source code. The order in which optimization steps are applied can have a considerable influence on the performance obtained. As a result, we created… Read full abstract & cite →

Compiler optimization prediction feature extraction feature exploitation improved hunger games search algorithm convolutional neural network

Abstract doi.org/10.14569/IJACSA.2023.0140267 PDF

68

Design of an English Web-based Teaching Resource Sharing Platform based on Mobile Web Technology

Author 1: Yan Zhang

Thanks to the booming technology of computers and multimedia, student-centered online teaching resource platforms have become an important way for students to learn. However, English teaching resource platforms at the present stage fail to effectively integrate the massive and scattered learning resources. Based on this, the study proposes an English… Read full abstract & cite →

Web service SOAP English teaching resources sharing platform personalised recommendation

Abstract doi.org/10.14569/IJACSA.2023.0140268 PDF

69

A Study of Encryption for Multimedia Digital Audio Security

Author 1: Xiaodong Zhou Author 2: Chao Wei Author 3: Xiaotang Shao

Driven by the development of multimedia, the encryption of multimedia digital audio has received more attention; however, cryptography-based encryption methods have many shortcomings in encryption of multimedia information, and new encryption methods are urgently needed. This paper briefly introduced cryptography and chaos theory, designed a chaos-based encryption algorithm that combined… Read full abstract & cite →

Multimedia digital audio chaotic theory encryption logistic mapping sine mapping security

Abstract doi.org/10.14569/IJACSA.2023.0140269 PDF

70

Digital Twins for Smart Home Gadget Threat Prediction using Deep Convolution Neural Network

Author 1: Valluri Padmapriya Author 2: Muktevi Srivenkatesh

Digital twin is one of the most important innovations in the Internet of Things (IoT) era and business disruption. Digital twins are a growing technology that bridges the gap between the real and the digital. Home automation in the IoT refers to the practice of automatically managing and monitoring smart… Read full abstract & cite →

Digital twins deep learning convolution neural network logistic regression internet of things smart home IoT gadget functionality threat prediction

Abstract doi.org/10.14569/IJACSA.2023.0140270 PDF

71

A New Privacy-Preserving Protocol for Academic Certificates on Hyperledger Fabric

Author 1: Omar S. Saleh Author 2: Osman Ghazali Author 3: Norbik Bashah Idris

Academic certificates are integral to an individual's education and career prospects, yet conventional paper-based certificates pose challenges with their transport and vulnerability to forgery. In response to this predicament, institutions have taken measures to release e-certificates, though ensuring authenticity remains a pressing concern. Blockchain technology, recognised for its attributes of… Read full abstract & cite →

Blockchain technology hyperledger fabric blockchain privacy preservation decentralized control verification privacy-centered (DCVPC) protocol academic certificates

Abstract doi.org/10.14569/IJACSA.2023.0140271 PDF

72

Breast Cancer Prediction using Machine Learning Models

Author 1: Orlando Iparraguirre-Villanueva Author 2: Andrés Epifanía-Huerta Author 3: Carmen Torres-Ceclén Author 4: John Ruiz-Alvarado Author 5: Michael Cabanillas-Carbonell

Breast cancer is a type of cancer that develops in the cells of the breast. Treatment for breast cancer usually involves X-ray, chemotherapy, or a combination of both treatments. Detecting cancer at an early stage can save a person's life. Artificial intelligence (AI) plays a very important role in this… Read full abstract & cite →

Prediction models machine learning cells breast cancer

Abstract doi.org/10.14569/IJACSA.2023.0140272 PDF

73

Placement of Edge Servers in Mobile Cloud Computing using Artificial Bee Colony Algorithm

Author 1: Bing Zhou Author 2: Bei Lu Author 3: Zhigang Zhang

Utilizing smart mobile devices for entertainment, education, and social networking has grown recently. Even though mobile applications are getting more sophisticated and resource-intensive, the computing power of mobile devices is still constrained. Mobile phone applications can perform better by shifting parts of their functions to cloud servers. However, because the… Read full abstract & cite →

Artificial bee colony algorithm k-means server placement mobile cloud computing

Abstract doi.org/10.14569/IJACSA.2023.0140273 PDF

74

Erythemato-Squamous Disease Detection using Best Optimized Estimators of ANN

Author 1: Rajashekar Deva Author 2: G .Narsimha

Medical area focused on automating skin cancer detection after the pandemic era of "Monkey Pox". Previous works proposed ANN mechanisms to classify the type of skin cancer. However, all those models implement layers of ANN with standard estimator components like hidden layers implemented using the ReLu activation function, several neurons… Read full abstract & cite →

Conditional probability naive Bayesian bayesian optimization grid search optimization techniques estimators

Abstract doi.org/10.14569/IJACSA.2023.0140274 PDF

75

Realizing the Quantum Relative Entropy of Two Noisy States using the Hudson-Parthasarathy Equations

Author 1: Bhaveshkumar B. Prajapati Author 2: Nirbhay Kumar Chaubey

The idea of noisy states can be derived through a quantum relative entropy over a given time period and construct the average value of X at time based on the system variables. A random Hermitian matrix is used to represent the quantum system observables with BATH states. The Hudson-Parthasarathy (HP… Read full abstract & cite →

Schrödinger equation Ito calculus quantum relative entropy Hudson-Parthasarathy equation quantum noise

Abstract doi.org/10.14569/IJACSA.2023.0140275 PDF

76

Research on Automatic Detection Algorithm for Pedestrians on the Road Based on Image Processing Method

Author 1: Qing Zhang

Accurate detection of pedestrian targets can effectively improve the performance level of intelligent transportation and surveillance projects. In order to effectively enhance the accuracy of detecting pedestrian targets on the road, this paper first introduced the traditional pedestrian target detection algorithm, proposed the faster recurrent convolutional neural network (RCNN) algorithm… Read full abstract & cite →

Pedestrian detection recurrent convolutional neural network scale-invariant feature transform support vector machine characteristic scale Difference of Gaussians operator

Abstract doi.org/10.14569/IJACSA.2023.0140276 PDF

77

Enhanced Multi-Verse Optimizer (TMVO) and Applying it in Test Data Generation for Path Testing

Author 1: Mohammad Hashem Ryalat Author 2: Hussam N. Fakhouri Author 3: Jamal Zraqou Author 4: Faten Hamad Author 5: Mamon S. Alzboun Author 6: Ahmad K. Al hwaitat

Data testing is a vital part of the software development process, and there are various approaches available to improve the exploration of all possible software code paths. This study introduces two contributions. Firstly, an improved version of the Multi-verse Optimizer called Testing Multi-Verse Optimizer (TMVO) is proposed, which takes into… Read full abstract & cite →

MVO optimization testing swarm intelligence multi-verse optimizer

Abstract doi.org/10.14569/IJACSA.2023.0140277 PDF

78

EFASFMM: A Unique Approach for Early Prediction of Type II Diabetics using Fire Fly and Semi-supervised Min-Max Algorithm

Author 1: B. Manikyala Rao Author 2: Mohammed Ali Hussain

Non-insulin-reliant, one of the most serious illnesses is diabetes mellitus, often known as type 2 diabetes, and it affects a large number of people. Between 2 and 5 million individuals worldwide die from diabetes each year. If diabetes is identified sooner, it can be managed, and catastrophic dangers including nephropathy… Read full abstract & cite →

Fire Fly Algorithm (FFA) machine learning (ML) Semi-supervised Min-Max (SSMM)

Abstract doi.org/10.14569/IJACSA.2023.0140278 PDF

79

Development of a Mobile Application to Reduce the Rate of People with Text Neck Syndrome

Author 1: Rosa Perez-Siguas Author 2: Hernan Matta-Solis Author 3: Eduardo Matta-Solis Author 4: Hernan Matta-Perez Author 5: Luis Perez-Siguas Author 6: Randall Seminario Unzueta Author 7: Victoria Tacas-Yarcuri

Now-a-days, it is no surprise that mobile devices have become a very useful tool in the daily tasks of many people worldwide. This is thanks to their various features such as portability, connectivity, entertainment, work tool, etc. However, due to the bad posture that users have when using them, a… Read full abstract & cite →

Accelerometer android firebase gyroscope mobile devices sensors text neck

Abstract doi.org/10.14569/IJACSA.2023.0140279 PDF

80

An Early Warning Model for Intelligent Operation of Power Engineering based on Kalman Filter Algorithm

Author 1: Haopeng Shi Author 2: Xiang Li Author 3: Pei Sun Author 4: Najuan Jia Author 5: Qiyan Dou

The accurate early warning of intelligent operation of power engineering can find the abnormal operation of substation equipment in time and ensure the safe operation of substation equipment. Thus, an early warning model for intelligent operation of power engineering based on Kalman filter algorithm is constructed. In this model, the… Read full abstract & cite →

Kalman filter power engineering intelligent operation early warning model image denoising feature extraction

Abstract doi.org/10.14569/IJACSA.2023.0140280 PDF

81

Automated Pneumonia Diagnosis using a 2D Deep Convolutional Neural Network with Chest X-Ray Images

Author 1: Kamila Kassylkassova Author 2: Batyrkhan Omarov Author 3: Gulnur Kazbekova Author 4: Zhadra Kozhamkulova Author 5: Mukhit Maikotov Author 6: Zhanar Bidakhmet

Tiny air sacs in one or both lungs become inflamed as a result of the lung infection known as pneumonia. In order to provide the best possible treatment plan, pneumonia must be accurately and quickly diagnosed at initial stages. Nowadays, a chest X-ray is regarded as the most effective imaging… Read full abstract & cite →

Pneumonia deep learning CNN chest X-rays radiology

Abstract doi.org/10.14569/IJACSA.2023.0140281 PDF

82

Classification of Human Sperms using ResNet-50 Deep Neural Network

Author 1: Ahmad Abdelaziz Mashaal Author 2: Mohamed A. A. Eldosoky Author 3: Lamia Nabil Mahdy Author 4: Kadry Ali Ezzat

Infertility is a disease which scientists around the world are concerned with. The disease of infertility also is a worldwide health concern of many people in the community. The andrologists are continually searching for further developed techniques for any related problems. The intracytoplasmic sperm injection (ICSI) method is a widely… Read full abstract & cite →

Healthy sperms sperm heads infertility classification convolution ResNet-50

Abstract doi.org/10.14569/IJACSA.2023.0140282 PDF

83

Research on Image Sharpness Enhancement Technology based on Depth Learning

Author 1: Wenbao Lan Author 2: Chang Che

Image technology is widely used in security, traffic, monitoring, and other social activities. However, these images carrying detailed information will have feature distortion due to various external physical factors in social ingestion, transmission, and storage, resulting in poor image quality and clarity. Resolution determines the definition of an image. Super-resolution… Read full abstract & cite →

Super resolution convolutional network fast super resolution convolutional neural network dual super-resolution convolutional network deep learning image definition super resolution image enhancement

Abstract doi.org/10.14569/IJACSA.2023.0140283 PDF

84

Fall Detection and Monitoring using Machine Learning: A Comparative Study

Author 1: Shaima R. M Edeib Author 2: Rudzidatul Akmam Dziyauddin Author 3: Nur Izdihar Muhd Amir

The detection of falls has emerged as an important topic for the public to discuss because of the prevalence and severity of unintentional falls, particularly among the elderly. A Fall Detection System, known as an FDS, is a system that gathers data from wearable Internet-of-Things (IoT) device and classifies the… Read full abstract & cite →

Fall detection machine learning acceleration data SVM decision tree Naïve Bayes IoT

Abstract doi.org/10.14569/IJACSA.2023.0140284 PDF

85

Online Teaching Design and Evaluation of Innovation and Entrepreneurship Courses in the Context of Education Internationalization

Author 1: Chengshe Xing

In the context of the internationalization of education nowadays, courses in innovation and entrepreneurship have been strongly promoted, and the content and number of topics, etc. of this type of courses are rapidly climbing. In order to enable target users to quickly select courses that they may be interested in… Read full abstract & cite →

Online course Collaborative filtering algorithm Ranking model

Abstract doi.org/10.14569/IJACSA.2023.0140285 PDF

86

Investigating Group Distributionally Robust Optimization for Deep Imbalanced Learning: A Case Study of Binary Tabular Data Classification

Author 1: Ismail. B. Mustapha Author 2: Shafaatunnur Hasan Author 3: Hatem S Y Nabbus Author 4: Mohamed Mostafa Ali Montaser Author 5: Sunday Olusanya Olatunji Author 6: Siti Maryam Shamsuddin

One of the most studied machine learning challenges that recent studies have shown the susceptibility of deep neural networks to is the class imbalance problem. While concerted research efforts in this direction have been notable in recent years, findings have shown that the canonical learning objective, empirical risk minimization (ERM)… Read full abstract & cite →

Class imbalance deep neural networks tabular data empirical risk minimization group distributionally robust optimization

Abstract doi.org/10.14569/IJACSA.2023.0140286 PDF

87

A Biologically Inspired Appearance Modeling and Sample Feature-based Approach for Visual Target Tracking in Aerial Images

Author 1: Lili Pei Author 2: Xiaohui Zhang

Visual tracking in uncrewed aerial vehicles is challenging because of the target appearance. Various research has been fulfilled to overcome appearance variations and unpredictable moving target issues. Visual saliency-based approaches have been widely studied in biologically inspired algorithms to detect moving targets based on attentional regions (ARs) extraction. This paper… Read full abstract & cite →

Visual tracking biologically inspired visual saliency detection appearance modeling attention region spatiotemporal

Abstract doi.org/10.14569/IJACSA.2023.0140287 PDF

88

A Study on Distance Personalized English Teaching Based on Deep Directed Graph Knowledge Tracking Model

Author 1: Lianmei Deng

Despite the continuous development of online education models, the effectiveness of online distance education has never been able to meet people’s expectations due to individual difference of learners. How to personalize teaching in a targeted manner and stimulate learners’ independent learning ability has become a key issue. In this study… Read full abstract & cite →

Distanced personalized English teaching model knowledge tracking deep learning graph structure rules DKVMN

Abstract doi.org/10.14569/IJACSA.2023.0140288 PDF

89

A Visual Target Representation using Saliency Detection Approach

Author 1: Shekun Tong Author 2: Chunmeng Lu

The task of saliency detection is to identify the most important and informative part of a scene. Saliency detection is broadly applied to numerous vision problems, including image segmentation, object recognition, image compression, content-based image retrieval, and moving object detection. Existing saliency detection methods suffer a low accuracy rate because… Read full abstract & cite →

Saliency detection target representation vision system object detection

Abstract doi.org/10.14569/IJACSA.2023.0140289 PDF

90

Building a Machine Learning Powered Chatbot for KSU Blackboard Users

Author 1: Qubayl Alqahtani Author 2: Omer Alrwais

Chatbots have attracted the interest of many entities within the public and private sectors locally within Saudi Arabia and also globally. Chatbots have many implementations in the education field and can range from enhancing the e-learning experience to answer students' inquiries about course schedules and grades, tracking prerequisites information and… Read full abstract & cite →

Chatbot RASA conversational agents machine learning

Abstract doi.org/10.14569/IJACSA.2023.0140290 PDF

91

WEB-based Collaborative Platform for College English Teaching

Author 1: Yuwan Zhang

At present, colleges and universities are trying to apply online education. The online college English course teaching cooperation platform is an important part of college English teaching. At present, teachers’ scoring method for students’ online examination on this kind of platform is mainly human scoring, which has a low efficiency… Read full abstract & cite →

Web text similarity KNN algorithm vocabulary matching network teaching

Abstract doi.org/10.14569/IJACSA.2023.0140291 PDF

92

Predictions of Cybersecurity Experts on Future Cyber-Attacks and Related Cybersecurity Measures

Author 1: Ahmad Mtair AL-Hawamleh

The Internet interconnections’ exponential growth has resulted in an increase in cyber-attack occurrences with mostly devastating consequences. Malware is a common tool for performing these attacks in cyberspace. The malefactors would either exploit the present weaknesses or employ the distinctive characteristics of the developing technologies. The cybersecurity community should increase… Read full abstract & cite →

Cybersecurity cybercriminals cyber-attacks cyber-security techniques security precautions

Abstract doi.org/10.14569/IJACSA.2023.0140292 PDF

93

BERT Model-based Natural Language to NoSQL Query Conversion using Deep Learning Approach

Author 1: Kazi Mojammel Hossen Author 2: Mohammed Nasir Uddin Author 3: Minhazul Arefin Author 4: Md Ashraf Uddin

Databases are commonly used to store complex and distinct information. With the advancement of the database system, non-relational databases have been used to store a vast amount of data as traditional databases are not sufficient for making queries on a wide range of massive data. However, storing data in a… Read full abstract & cite →

Natural language processing NoSQL query BERT model Levenshtein distance algorithm artificial neural network

Abstract doi.org/10.14569/IJACSA.2023.0140293 PDF

94

Privacy-Preserving and Trustless Verifiable Fairness Audit of Machine Learning Models

Author 1: Gui Tang Author 2: Wuzheng Tan Author 3: Mei Cai

In the big data era, machine learning has devel-oped prominently and is widely used in real-world systems. Yet, machine learning raises fairness concerns, which incurs discrimination against groups determined by sensitive attributes such as gender and race. Many researchers have focused on developing fairness audit technique of machine learning model… Read full abstract & cite →

Security and privacy machine learning fairness cryptography zero knowledge proof

Abstract doi.org/10.14569/IJACSA.2023.0140294 PDF

95

An OCR Engine for Printed Receipt Images using Deep Learning Techniques

Author 1: Cagri Sayallar Author 2: Ahmet Sayar Author 3: Nurcan Babalik

The digitization of receipts and invoices, and the recording of expenses in industry and accounting have begun to be used in the field of finance tracking. However, 100%success in character recognition for document digitization has not yet been achieved. In this study, a new Optical Character Recognition (OCR) engine called… Read full abstract & cite →

Optical Character Recognition (OCR) image processing deep learning benchmarking receipt

Abstract doi.org/10.14569/IJACSA.2023.0140295 PDF

96

A Survey on Blockchain Technology Concepts, Applications and Security

Author 1: Asma Mubark Alqahtani Author 2: Abdulmohsen Algarni

In the past decade, blockchain technology has become increasingly prevalent in our daily lives. This technology consists of a chain of blocks that contains the history of transactions and information about its users. Distributed digital ledgers are used in blockchain. A transparent environment is created by using this technology, allowing… Read full abstract & cite →

Blockchain cryptography cryptocurrency consensus algorithms blockchain security

Abstract doi.org/10.14569/IJACSA.2023.0140296 PDF

97

An Autonomous Role and Consideration of Electronic Health Systems with Access Control in Developed Countries: A Review

Author 1: Mohd Rafiz Salji Author 2: Nur Izura Udzir

The electronic healthcare system (EHS) nowadays is essential to access, maintain, store, and share the electronic health records (EHR) of patients. It should provide safer, more efficient, and cost-effective healthcare. There are several challenges with EHS, notably in terms of security and privacy. Nonetheless, many approaches can be utilized to… Read full abstract & cite →

Access control security privacy electronic health-care system electronic health record developed countries

Abstract doi.org/10.14569/IJACSA.2023.0140297 PDF

98

Semi-supervised Method to Detect Fraudulent Transactions and Identify Fraud Types while Minimizing Mounting Costs

Author 1: Chergui Hamza Author 2: Abrouk Lylia Author 3: Cullot Nadine Author 4: Cabioch Nicolas

Financial fraud is a complex problem faced by financial institutions, and existing fraud detection systems are often insufficient, resulting in significant financial losses. Researchers have proposed various machine learning-based techniques to enhance the performance of these systems. In this work, we present a semi-supervised approach to detect fraudulent transactions. First… Read full abstract & cite →

Machine learning semi-supervised learning fraud finance cost analysis

Abstract doi.org/10.14569/IJACSA.2023.0140298 PDF

99

Liver Disease Prediction and Classification using Machine Learning Techniques

Author 1: Srilatha Tokala Author 2: Koduru Hajarathaiah Author 3: Sai Ram Praneeth Gunda Author 4: Srinivasrao Botla Author 5: Lakshmikanth Nalluri Author 6: Pathipati Nagamanohar Author 7: Satish Anamalamudi Author 8: Murali Krishna Enduri

Recently liver diseases are becoming most lethal disorder in a number of countries. The count of patients with liver disorder has been going up because of alcohol intake, breathing of harmful gases, and consumption of food which is spoiled and drugs. Liver patient data sets are being studied for the… Read full abstract & cite →

Machine learning algorithms classification model classifier liver disease

Abstract doi.org/10.14569/IJACSA.2023.0140299 PDF

100

Image Super-Resolution using Generative Adversarial Networks with EfficientNetV2

Author 1: Saleh AlTakrouri Author 2: Norliza Mohd Noor Author 3: Norulhusna Ahmad Author 4: Taghreed Justinia Author 5: Sahnius Usman

The image super-resolution is utilized for the image transformation from low resolution to higher resolution to obtain more detailed information to identify the targets. The super-resolution has potential applications in various domains, such as medical image processing, crime investigation, remote sensing, and other image-processing application domains. The goal of the… Read full abstract & cite →

Single image super-resolution (SISR) generative adversarial networks (GAN) convolutional neural networks (CNN) EfficientNetv2

Abstract doi.org/10.14569/IJACSA.2023.01402100 PDF

101

A Transformer Seq2Seq Model with Fast Fourier Transform Layers for Rephrasing and Simplifying Complex Arabic Text

Author 1: Abdullah Alshanqiti Author 2: Ahmad Alkhodre Author 3: Abdallah Namoun Author 4: Sami Albouq Author 5: Emad Nabil

Text simplification is a fundamental unsolved problem for Natural Language Understanding (NLU) models, which is deemed a hard-to-solve task. Recently, this hard task has aimed to simplify texts with complex linguistic structures and improve their readability, not only for human readers but also for boosting the performance of many natural… Read full abstract & cite →

Text simplification sequence-to-sequence split-and-rephrase natural language understanding NLP TSimAr ATSC

Abstract doi.org/10.14569/IJACSA.2023.01402101 PDF

102

Unsupervised Feature Learning Methodology for Tree based Classifier and SVM to Classify Encrypted Traffic

Author 1: RAMRAJ S Author 2: Usha G

Presently, sample social applications have emerged, and each one is trying to knock down the other. They expand their game by bringing novelty to the market, being ingenious and providing advanced level of security in the form of encryption. It has become significant to manage the network traffic and analyze… Read full abstract & cite →

Network traffic encrypted network traffic tree based classifiers SVM

Abstract doi.org/10.14569/IJACSA.2023.01402102 PDF

103

Indoor Pollutant Classification Modeling using Relevant Sensors under Thermodynamic Conditions with Multilayer Perceptron Hyperparameter Tuning

Author 1: Percival J. Forcadilla

Air pollutants that are generated from indoor sources such as cigarettes, cleaning products, air fresheners, etc. impact human health. These sources are usually safe but exposure beyond the recommended standards could be hazardous to health. Due to this fact, people started to use technology to monitor indoor air quality (IAQ)… Read full abstract & cite →

Indoor air pollutants pollutant sources indoor air quality IAQ sensors multilayer perceptron classification modeling gridSearchCV hyperparameter tuning

Abstract doi.org/10.14569/IJACSA.2023.01402103 PDF