IJACSA Vol. 14 Issue 7 (2023)

1

Secure Virtual Local Area Network Design and Implementation for Electronic Data Interchange

Author 1: Jhansi Bharathi Madavarapu Author 2: Firdous Hussain Mohammed Author 3: Shailaja Salagrama Author 4: Vimal Bibhu

Electronic Data Interchange is a popular platform for sensitive business transactional data transmission over the local to public network. It requires Value Added Network to communicate local data from one endpoint to another. In this paper, we proposed a value-added network design and deployment using the Virtual Local Area Network… Read full abstract & cite →

Electronic data interchange value added network virtual local area network data link layer time division multiplexing

Abstract doi.org/10.14569/IJACSA.2023.0140701 PDF

2

An Intelligent Evaluation Path for English Teaching Quality: Construction of an Evaluation Model Based on Improved BPNN

Author 1: Weihua Shen Author 2: Wei Lu Author 3: Yukun Qi

The current intelligent evaluation methods for English teaching quality are inefficient and have poor evaluation accuracy for effective assessment. The paper suggests an evaluation model based on an upgraded Back Propagation Neural Network to overcome the aforementioned issues. First, the principal component analysis is utilized to lessen the dimensionality of… Read full abstract & cite →

Teaching quality evaluation English BPNN intelligent evaluation dragonfly optimization algorithm

Abstract doi.org/10.14569/IJACSA.2023.0140702 PDF

3

Determinants of Medical Internet of Things Adoption in Healthcare and the Role of Demographic Factors Incorporating Modified UTAUT

Author 1: Abdulaziz Alomari Author 2: Ben Soh

Medical Internet of Things (mIoT) is the IoT sub-set with vast potential in healthcare. However, the adoption of eHealth solutions such as mIoT has been a critical challenge in the health sector of the Kingdom of Saudi Arabia. Therefore, this study was conducted to explore the mIoT adoption determinants in… Read full abstract & cite →

Medical internet of things eHealth adoption modified UTAUT demographics and IT adoption

Abstract doi.org/10.14569/IJACSA.2023.0140703 PDF

4

Apache Spark in Riot Games: A Case Study on Data Processing and Analytics

Author 1: Kanhaiya Sharma Author 2: Firdous Hussain Mohammad Author 3: Deepak Parashar

This case study examines Riot Games' use of Apache Spark and its effects on data processing and analytics. Riot Games is a well-known game production studio. The developer Riot Games, best known for the well-liked online multiplayer game League of Legends, manages enormous volumes of data produced daily by millions… Read full abstract & cite →

Riot games Apache Spark data processing real-time analytics distributed computing technology

Abstract doi.org/10.14569/IJACSA.2023.0140704 PDF

5

Deep Learning-based Method for Enhancing the Detection of Arabic Authorship Attribution using Acoustic and Textual-based Features

Author 1: Mohammed Al-Sarem Author 2: Faisal Saeed Author 3: Sultan Noman Qasem Author 4: Abdullah M Albarrak

Authorship attribution (AA) is defined as the identification of the original author of an unseen text. It is found that the style of the author’s writing can change from one topic to another, but the author’s habits are still the same in different texts. The authorship attribution has been extensively… Read full abstract & cite →

Authorship attribution acoustic features fusion approach deep learning CNN ResNet34

Abstract doi.org/10.14569/IJACSA.2023.0140705 PDF

6

Speech-Music Classification Model Based on Improved Neural Network and Beat Spectrum

Author 1: Chun Huang Author 2: Wei HeFu

A speech-music classification method according to a developed neural system and beat spectrum is proposed to achieve accurate classification of speech-music through pre-emphasis, endpoint detection, framing, windowing and other steps to preprocess and collect vocal music signals. After fast Fourier transforms and triangle filter processing, the Mel frequency cepstrum coefficient… Read full abstract & cite →

Vocal music classification model beat spectrum feature parameter extraction cosine similarity convolutional neural network

Abstract doi.org/10.14569/IJACSA.2023.0140706 PDF

7

A Method for Evaluating the Competitiveness of Human Resources in High-tech Enterprises Based on Self-organized Data Mining Algorithms

Author 1: Sun Zhixin

The level of human resources competitiveness of high-tech companies affects the efficiency and effectiveness of enterprises to a particular extent. To achieve sustainable development of high-tech enterprises, an evaluation method of human resource competitiveness of high-tech enterprises based on a self-organized data mining algorithm is proposed. The fuzzy clustering algorithm… Read full abstract & cite →

Self-organized data mining algorithm high-tech enterprises human resources competitiveness evaluation multi-level fuzzy evaluation method

Abstract doi.org/10.14569/IJACSA.2023.0140707 PDF

8

A Novel Internet of Things-enabled Approach to Monitor Patients’ Health Statistics

Author 1: Xi GOU

Leveraging Internet of Things (IoT) technology in healthcare systems improves patient care, reduces costs, and increases efficiency. Enabled by IoT, telemedicine allows remote patient monitoring, vital sign tracking, and seamless data accessibility for doctors across multiple locations. This article presents a novel IoT-enabled approach that utilizes artificial neural networks with… Read full abstract & cite →

Internet of things healthcare telemedicine artificial neural network

Abstract doi.org/10.14569/IJACSA.2023.0140708 PDF

9

Automated Modified Grey Wolf Optimizer for Identification of Unauthorized Requests in Software-defined Networks

Author 1: Aminata Dembele Author 2: Elijah Mwangi Author 3: Abderrahim Bouchair Author 4: Kennedy K Ronoh Author 5: Edwin O Ataro

Software Defined Networking (SDN) is utilized to centralize network control within a controller, but its reliance on a single control plane can make it vulnerable to attacks such as DDoS. This highlights the importance of developing effective security mechanisms and using proactive measures such as detection and prevention strategies to… Read full abstract & cite →

Software-defined networks security DDoS attacks metaheuristic algorithms Grey Wolf Optimizer

Abstract doi.org/10.14569/IJACSA.2023.0140709 PDF

10

A Bibliometric Analysis of Research on Risks in the Poultry Farming Industry: Trends, Themes, Collaborations, and Technology Utilization

Author 1: Kamal Imran Mohd Sharif Author 2: Mazni Omar Author 3: Muhammad Danial Mohd Noor Author 4: Mohd Azril Ismail Author 5: Mohamad Ghozali Hassan Author 6: Abdul Rehman Gilal

This paper explores the risks prevalent in the poultry farming industry, drawing upon an extensive examination conducted by researchers over the past decade. Employing a bibliometric analysis approach, a comprehensive search of the Scopus database was conducted using relevant keywords related to poultry farming risk and technology utilization. The search… Read full abstract & cite →

Poultry farming risk poultry farming industry bibliometric analysis Harzing’s Publish or Perish VOSviewer

Abstract doi.org/10.14569/IJACSA.2023.0140710 PDF

11

Adaptive Style Transfer Method of Art Works Based on Laplace Operator

Author 1: HaiTing Jia

In order to improve the image quality of artworks after style transfer, the adaptive style transfer method of artworks based on the Laplace operator is studied. Through three steps of expansion processing, corrosion processing and multi-scale morphological enhancement, the image edge of the content of artworks is enhanced. The colour… Read full abstract & cite →

Laplace operator artworks adaptive style transfer brightness migration convolution neural network

Abstract doi.org/10.14569/IJACSA.2023.0140711 PDF

12

Application of Virtual Reality Technology in the Design of Interactive Interfaces for Public Service Announcements

Author 1: Rong Hu

With the development of technology, more and more public service announcements are being designed with interactive interfaces. There are many different ways to interact with interactive interfaces, and using appropriate design methods can expand the impact of PSAs. The study incorporates image pre-processing methods based on virtual reality, using the… Read full abstract & cite →

Virtual reality interactive interfaces interface design greyscaling image pre-processing

Abstract doi.org/10.14569/IJACSA.2023.0140712 PDF

13

Method for Image Quality Evaluation of Satellite-based SAR Data

Author 1: Kohei Arai Author 2: Michihiro Mikamo Author 3: Shunsuke Onishi

A method for image quality evaluation of satellite-based Synthetic Aperture Radar: SAR data is proposed. Not only geometric fidelity but also signal to noise ratio, frequency component, saturated pixel ratio, speckle noise, optimum filter kernel size and its filter function are evaluated. Through experiments with SAR so called QPS-SAR_2 (Q-shu… Read full abstract & cite →

Image quality synthetic aperture radar (SAR) geometric fidelity signal to noise ratio frequency component saturated pixel ratio speckle noise optimum filter kernel size filter function for speckle noise reduction

Abstract doi.org/10.14569/IJACSA.2023.0140713 PDF

14

A Multi-label Filter Feature Selection Method Based on Approximate Pareto Dominance

Author 1: Jian Zhou Author 2: Yinnong Guo

The Pareto dominance has been applied to resolve the issue of choosing significant features from a multi-label dataset. High-dimensional labels will directly result in the difficulty of forming Pareto dominance. This work proposes a multi-label feature selection approach based on the approximate Pareto dominance (MAPD) to address this issue. It… Read full abstract & cite →

Approximate Pareto dominance multi-label data feature selection

Abstract doi.org/10.14569/IJACSA.2023.0140714 PDF

15

Dynamic Allocation Method of Incentive Pool for Financial Management Teaching Innovation Team Based on Data Mining

Author 1: Huang Jingjing Author 2: Zhang Xu

In order to reasonably allocate the amount of incentive pool and promote the unity of members of the financial management teaching innovation team, a dynamic allocation method of incentive pool for the financial management teaching innovation team based on data mining is proposed. This method constructs the incentive pool allocation… Read full abstract & cite →

Data mining financial management teaching innovation team incentive pool dynamic allocation artificial colony

Abstract doi.org/10.14569/IJACSA.2023.0140715 PDF

16

A Hybrid Federated Learning Framework and Multi-Party Communication for Cyber-Security Analysis

Author 1: Fahad Alqurashi

The term "Internet of Things" (IoT) describes a global system of electronically linked devices and sensors capable of two-way communication and data sharing. IoT provides various advantages, including improved efficiency and production and lower operating expenses. Concern about data breaches is constantly present, for example, since devices with sensors capture… Read full abstract & cite →

Federated learning multi-party communication cyber-security machine learning internet of things

Abstract doi.org/10.14569/IJACSA.2023.0140716 PDF

17

Explainable Artificial Intelligence (XAI) for the Prediction of Diabetes Management: An Ensemble Approach

Author 1: Rita Ganguly Author 2: Dharmpal Singh

Machine learning determines patterns from data to expedite the process of decision making. Fact-based decisions and data-driven decisions are specified by the industry specialist. Due to the continuous growth of machine language models in healthcare, they are breeding continuous complexity and black boxes in ML models. To make the ML… Read full abstract & cite →

Explainable Artificial Intelligence (XAI) diabetes interpretability machine learning chronic disease management

Abstract doi.org/10.14569/IJACSA.2023.0140717 PDF

18

Research on the Text Classification of Legal Consultation Based on Deep Learning

Author 1: ZuoQiang Du

In view of the existing traditional legal service, practitioners are unable to meet the huge demand; a large number of citizens are unable to determine the scope of the problems when they encounter infringement or require various legal assistance. Based on this, an automatic classification model of legal consultation based… Read full abstract & cite →

Text classification legal consultation deep learning KP+BILSTM+ATT model word embedding layer

Abstract doi.org/10.14569/IJACSA.2023.0140718 PDF

19

Continuous Software Engineering for Augmented Reality

Author 1: Suzanna Author 2: Sasmoko Author 3: Ford Lumban Gaol Author 4: Tanty Oktavia

Continuous software engineering is a new trend that has attracted increasing attention from the research community in recent years. In software engineering there are “continuous” stages that are used depending on the number of artifact repositories such as databases, meta data, virtual machines, networks and servers, various logs, and reports… Read full abstract & cite →

Continuous software engineering augmented reality method in software engineering continuous planning continuous analysis continuous design continuous programming continuous integration continuous maintenance

Abstract doi.org/10.14569/IJACSA.2023.0140719 PDF

20

A Local-Global Graph Convolutional Network for Depression Recognition using EEG Signals

Author 1: Yu Chen Author 2: Xiuxiu Hu Author 3: Lihua Xia

Graph Convolutional Networks (GCNs) have shown remarkable capabilities in learning the topological relationships among electroencephalogram (EEG) channels for recognizing depression. However, existing GCN methods often focus on a single spatial pattern, disregarding the relevant connectivity of local functional regions and neglecting the data dependency of the original EEG data. To… Read full abstract & cite →

Electroencephalogram depression recognition Local-Global Graph Convolutional Network (LG-GCN) multilevel spatial information brain regions multiple graphs

Abstract doi.org/10.14569/IJACSA.2023.0140720 PDF

21

University’s Service Delivery Improvement Through a DSS-enabled Client Feedback System

Author 1: Belen M. Tapado Author 2: John Gregory M. Bola Author 3: Erickson T. Salazar Author 4: Zcel T. Tablizo

The expansion of products and services on a global scale demands the improvement of an organization’s performance. In addition to addressing the challenges of improving product and service delivery, companies must focus not only on meeting customer expectations but also on surpassing them. Consequently, valuing the opinions of clients, giving… Read full abstract & cite →

Decision support system client satisfaction client feedback system rapid application development service delivery improvement

Abstract doi.org/10.14569/IJACSA.2023.0140721 PDF

22

Development of a Two-dimensional Animation for Business Law: Elements of a Valid Contract

Author 1: Sarni Suhaila Rahim Author 2: Hazira Saleh Author 3: Nur Zulaiha Fadlan Faizal Author 4: Shahril Parumo

Elements of a valid contract is an important topic in corporate law. Since there are so many elements and related case studies, some students have difficulty remembering all the elements. Therefore, an animation will contribute to explaining all the elements in simpler terms, help the students remember the relevant case… Read full abstract & cite →

2D animation business law elements of a valid contract teaching and learning multimedia

Abstract doi.org/10.14569/IJACSA.2023.0140722 PDF

23

An Improved Lane-Keeping Controller for Autonomous Vehicles Leveraging an Integrated CNN-LSTM Approach

Author 1: Hoang Tran Ngoc Author 2: Phuc Phan Hong Author 3: Nghi Nguyen Vinh Author 4: Nguyen Nguyen Trung Author 5: Khang Hoang Nguyen Author 6: Luyl-Da Quach

Representing the task of navigating a car through traffic using traditional algorithms is a complex endeavor that presents significant challenges. To overcome this, researchers have started training artificial neural networks using data from front-facing cameras, combined with corresponding steering angles. However, many current solutions focus solely on the visual information… Read full abstract & cite →

End-to-end steering control convolutional neural network LSTM nvidia model MobileNetv2 VGG16

Abstract doi.org/10.14569/IJACSA.2023.0140723 PDF

24

Lane Road Segmentation Based on Improved UNet Architecture for Autonomous Driving

Author 1: Hoang Tran Ngoc Author 2: Huynh Vu Nhu Nguyen Author 3: Khang Hoang Nguyen Author 4: Luyl-Da Quach

This paper introduces a real-time workflow for implementing neural networks in the context of autonomous driving. The UNet architecture is specifically selected for road segmentation due to its strong performance and low complexity. To further improve the model's capabilities, Local Binary Convolution (LBC) is incorporated into the skip connections, enhancing… Read full abstract & cite →

Local binary patterns feature extraction UNet semantic segmentation

Abstract doi.org/10.14569/IJACSA.2023.0140724 PDF

25

Leveraging Big Data and AI in Mobile Shopping: A Study in the Context of Jordan

Author 1: Maher Abuhamdeh Author 2: Osama Qtaish Author 3: Hasan Kanaker Author 4: Ahmad Alshanty Author 5: Nidal Yousef Author 6: Abdulla Mousa AlAli

This study investigates the current state of mobile shopping in Jordan and the integration of big data and AI technologies in this context. A mixed-methods approach, combining qualitative and quantitative data collection techniques, utilized to gather comprehensive insights. The survey questionnaire distributed to 105 individuals engaged in mobile shopping in… Read full abstract & cite →

Bigdata mobile shopping artificial intelligence internet of things shopping user experience

Abstract doi.org/10.14569/IJACSA.2023.0140725 PDF

26

Optimizing Drying Efficiency Through an IoT-based Direct Solar Dryer System: Integration of Web Data Logger and SMS Notification

Author 1: Joel I. Miano Author 2: Michael A. Nabua Author 3: Alexander R. Gaw Author 4: Apple Rose B. Alce Author 5: Cris Argie M. Ecleo Author 6: Jewelane V. Repulle Author 7: Jaafar J. Omar

Various agricultural and culinary products are dried to extend their shelf lives, mostly for marine foods. In many coastal locations of the Philippines, drying fish traditionally is still practiced, although study has shown that due to weather conditions and other factors, this technique is not seen to be reliable or… Read full abstract & cite →

Arduino Uno Internet of Thing (IoT) solar dryer system web application portal ESP-32 SMS notification

Abstract doi.org/10.14569/IJACSA.2023.0140726 PDF

27

Anti-Spoofing in Medical Employee's Email using Machine Learning Uclassify Algorithm

Author 1: Bander Nasser Almousa Author 2: Diaa Mohammed Uliyan

Since the advent of COVID-19, healthcare and IT cybersecurity have been an issue. Digital services and foreign labor have increased cyberattacks. July 2021 saw 260,642 phishing emails. 94% of 12 countries’ employees experienced epidemic cyberattacks. Phishing attacks steal sensitive data from spam emails or legitimate websites for profit. Phishing spam… Read full abstract & cite →

Spoofing phishing machine learning Uclassify algorithm medical employee's email

Abstract doi.org/10.14569/IJACSA.2023.0140727 PDF

28

Adaptive Visual Sentiment Prediction Model Based on Event Concepts and Object Detection Techniques in Social Media

Author 1: Yasser Fouad Author 2: Ahmed M. Osman Author 3: Samah A. Z. Hassan Author 4: Hazem M. El-Bakry Author 5: Ahmed M. Elshewey

Now-a-days, the increasing number of smartphones has caused the immediate sharing of photographs capturing current events on social media. The sentimental content of pictures from social events starts to be obtained from visual material, so visual sentiment analysis is a vital research topic. The research aims to reach valuable criteria… Read full abstract & cite →

Sentiment Analysis (SA) visual sentiment analysis image analysis object recognition event concepts events concepts with object detection

Abstract doi.org/10.14569/IJACSA.2023.0140728 PDF

29

Attacks on the Vehicle Ad-hoc Network from Cyberspace

Author 1: Anas Alwasel Author 2: Shailendra Mishra Author 3: Mohammed AlShehri

The emergence of Vehicle Ad hoc Networks (VANET) in 2003 has brought about a significant advancement in mobile phone networks and VANETs enable cars on the road to communicate with each other and the infrastructure on the street through a set of sensors and Intelligent Transport Systems (ITS). However VANETs… Read full abstract & cite →

Vehicular Ad hoc Network (VANET) Mobile Ad hoc Network (MANET) machine learning random forest linear regression

Abstract doi.org/10.14569/IJACSA.2023.0140729 PDF

30

Optimization Solutions for Solving Travelling Salesman Problem in Graph Theory using African Buffalo Mechanism

Author 1: Yousef Methkal Abd Algani

The African Buffalo Optimization (ABO), a metaheuristic optimization algorithm created from thorough study of African buffalos, a species of African cows, in African woods and savannahs, is suggested in this study. In its pursuit for food across the African continent, this animal demonstrates unusual intelligence, sophisticated organising capabilities, and remarkable… Read full abstract & cite →

African buffalo optimization solutions travelling salesman’s problem graph theory

Abstract doi.org/10.14569/IJACSA.2023.0140730 PDF

31

Multi-feature Fusion for Relation Extraction using Entity Types and Word Dependencies

Author 1: Pu Zhang Author 2: Junwei Li Author 3: Sixing Chen Author 4: Jingyu Zhang Author 5: Libo Tang

Most existing methods do not make full use of different types of information sources to extract effective features for relation extraction. This paper proposes a multi-feature fusion model based on raw input sentences and external knowledge sources, which deeply integrates diverse lexical, semantic, and syntactic features into deep neural network… Read full abstract & cite →

Relation extraction multi-feature fusion information extraction dependency tree entity type

Abstract doi.org/10.14569/IJACSA.2023.0140731 PDF

32

Mobile Apps Performance Testing as a Service for Parallel Test Execution and Automatic Test Result Analysis

Author 1: Amira Ali Author 2: Huda Amin Maghawry Author 3: Nagwa Badr

Now-a-days, numerous mobile apps are developed daily that influence the lives of people worldwide. Mobile apps are implemented within a limited time and budget. This is to keep up with the rapid business growth and to gain a competitive advantage in the market. Performance testing is a crucial activity that… Read full abstract & cite →

Performance testing mobile apps testing mobile apps performance testing automated testing cloud computing TaaS model-based testing

Abstract doi.org/10.14569/IJACSA.2023.0140732 PDF

33

A Segmentation-based Token Identification for Recognition of Audio Mathematical Expression

Author 1: Vaishali A. Kherdekar Author 2: Sachin A. Naik Author 3: Prafulla Bafna

In human-computer interaction, humans can interact with the computer with the help of text, audio, images, speech, etc. Interacting with the computer using speech, speech recognitions in particularly audio segmentation is a challenging task due to accent or way of pronouncing style. To input mathematical symbols, words, functions, and expressions… Read full abstract & cite →

Audio segmentation classification feature extraction neural network speech recognition

Abstract doi.org/10.14569/IJACSA.2023.0140733 PDF

34

Evaluating Machine Learning Models for Predicting Graduation Timelines in Moroccan Universities

Author 1: Azeddine Sadqui Author 2: Merouane Ertel Author 3: Hicham Sadiki Author 4: Said Amali

The escalating student numbers in Moroccan universities have intensified the complexities of managing on-time graduation. In this context, Machine learning methodologies were utilized to analyze the patterns and predict on-time graduation rates in a comprehensive manner. Our dataset comprised information from 5236 bachelor students who graduated in the years 2020… Read full abstract & cite →

Machine learning logistic regression classification reports on time graduation Moroccan universities

Abstract doi.org/10.14569/IJACSA.2023.0140734 PDF

35

Efficient and Accurate Beach Litter Detection Method Based on QSB-YOLO

Author 1: Hanling Zhu Author 2: Daoheng Zhu Author 3: Xue Qin Author 4: Fawang Guo

Because of the potential threats it presents to marine ecosystems and human health, beach litter is becoming a major global environmental issue. The traditional manual sampling survey of beach litter is poor in real-time, poor in effect, and limited in the detection area, so it is extremely difficult to quickly… Read full abstract & cite →

Beach litter detection QSB-YOLO YOLOv7 Quantization-Aware RepVGG a simple parameter-free attention module bidirectional feature pyramid network

Abstract doi.org/10.14569/IJACSA.2023.0140735 PDF

36

SECI Model Design with a Combination of Data Mining and Data Science in Transfer of Knowledge of College Graduates’ Competencies

Author 1: Mardiani Author 2: Ermatita Author 3: Samsuryadi Author 4: Abdiansah

One of the methods in knowledge management that can be used is the SECI Model. The SECI Model transfers tacit and explicit knowledge in each quadrant. However, without using tools, the transfer of technical knowledge will experience various obstacles. These obstacles included limited knowledge of the informants, difficulty in translating… Read full abstract & cite →

Model SECI data mining data science competence of graduates

Abstract doi.org/10.14569/IJACSA.2023.0140736 PDF

37

Enhancing Cloud Security: An Optimization-based Deep Learning Model for Detecting Denial-of-Service Attacks

Author 1: Lamia Alhazmi

DoS (Denial-of-Service) attacks pose an imminent threat to cloud services and could cause significant financial and intellectual damage to cloud service providers and their customers. DoS attacks can also result in revenue loss and security vulnerabilities due to system disruptions, interrupted services, and data breaches. However, despite machine learning methods… Read full abstract & cite →

DOS attack cloud database generative adversarial networks attack detection security threats

Abstract doi.org/10.14569/IJACSA.2023.0140737 PDF

38

Inspection System for Glass Bottle Defect Classification based on Deep Neural Network

Author 1: Niphat Claypo Author 2: Saichon Jaiyen Author 3: Anantaporn Hanskunatai

The problem of defects in glass bottles is a significant issue in glass bottle manufacturing. There are various types of defects that can occur, including cracks, scratches, and blisters. Detecting these defects is crucial for ensuring the quality of glass bottle production. The inspection system must be able to accurately… Read full abstract & cite →

Convolution neural network glass bottle defect detection long shot-term memory inspection machine

Abstract doi.org/10.14569/IJACSA.2023.0140738 PDF

39

Anomalous Taxi Trajectory Detection using Popular Routes in Different Traffic Periods

Author 1: Lina Xu Author 2: Yonglong Luo Author 3: Qingying Yu Author 4: Xiao Zhang Author 5: Wen Zhang Author 6: Zhonghao Lu

Anomalous trajectory detection is an important approach to detecting taxi fraud behaviors in urban traffic systems. The existing methods usually ignore the integration of the trajectory access location with the time and trajectory structure, which incorrectly detects normal trajectories that bypass the congested road as anomalies and ignores circuitous travel… Read full abstract & cite →

Anomalous trajectory detection time periods popular routes gridded distance

Abstract doi.org/10.14569/IJACSA.2023.0140739 PDF

40

The Model of Stroke Rehabilitation Service and User Demand Matching

Author 1: Hua Wei Author 2: Ding-Bang Luh Author 3: Yue Sun Author 4: Xiao-Hong Mo Author 5: Yu-Hao Shen

This article focuses on matching stroke rehabilitation services, and patient needs through the interconnection between patient demand and rehabilitation service capabilities. A solution is proposed based on the KJ, fuzzy AHP, and QFD methods to address this problem. Specifically, the KJ method categorizes user needs, and the fuzzy AHP method… Read full abstract & cite →

Stroke rehabilitation services user needs matching model

Abstract doi.org/10.14569/IJACSA.2023.0140740 PDF

41

Detection of Protective Apparatus for Municipal Engineering Construction Personnel Based on Improved YOLOv5s

Author 1: Shuangyuan Li Author 2: Yanchang Lv Author 3: Mengfan Li Author 4: Zhengwei Wang

With the rapid economic development, the government has increased investment in municipal construction, which usually takes a long time, involves many open-air operations, and is affected by cross-construction, traffic, climate and environment, and so on. The safety protection of urban construction workers has been a concern. In this paper, an… Read full abstract & cite →

YOLOv5s hard hat reflective vest simultaneous detection

Abstract doi.org/10.14569/IJACSA.2023.0140741 PDF

42

A Review of Fake News Detection Models: Highlighting the Factors Affecting Model Performance and the Prominent Techniques Used

Author 1: Suhaib Kh. Hamed Author 2: Mohd Juzaiddin Ab Aziz Author 3: Mohd Ridzwan Yaakub

In recent times, social media has become the primary way people get news about what is happening in the world. Fake news surfaces on social media every day. Fake news on social media has harmed several domains, including politics, the economy, and health. Additionally, it has negatively affected society's stability… Read full abstract & cite →

Fake news detection social media data augmentation feature extraction multimodal fusion

Abstract doi.org/10.14569/IJACSA.2023.0140742 PDF

43

A Dynamic Intrusion Detection System Capable of Detecting Unknown Attacks

Author 1: Na Xing Author 2: Shuai Zhao Author 3: Yuehai Wang Author 4: Keqing Ning Author 5: Xiufeng Liu

In recent years, deep learning-based network intrusion detection systems (IDS) have shown impressive results in detecting attacks. However, most existing IDS can only recognize known attacks that were included in their training data. When faced with unknown attacks, these systems are often unable to take appropriate actions and incorrectly classify… Read full abstract & cite →

Intrusion detection systems transformer DUA-IDS data playback variable perspectives features Knowledge distillation

Abstract doi.org/10.14569/IJACSA.2023.0140743 PDF

44

Computational Framework for Analytical Operation in Intelligent Transportation System using Big Data

Author 1: Mahendra G Author 2: Roopashree H. R

Intelligent Transportation System (ITS) is the future of the current transport scheme. It is meant to incorporate an intelligent traffic management operation to offer vehicles more safety and valuable traffic-related information. A review of existing approaches showcases the implementation of varied scattered schemes where analytical operation is mainly emphasized. However… Read full abstract & cite →

Intelligent transportation system traffic managemen machine learning artifacts prediction

Abstract doi.org/10.14569/IJACSA.2023.0140744 PDF

45

Comparison of Multi-layer Perceptron and Support Vector Machine Methods on Rainfall Data with Optimal Parameter Tuning

Author 1: Marji Author 2: Agus Widodo Author 3: Marjono Author 4: Wayan Firdaus Mahmudy Author 5: Maulana Muhamad Arifin

This study describes the search for optimal hyperparameter values in rainfall data in 49 cities in Australia, consisting of 145,460 records with 22 features. The process eliminates missed values and selects 16 numeric type features as input features and one feature (Rain Tomorrow) as output feature. It is processed using… Read full abstract & cite →

Rainfall MLP SVM optimal

Abstract doi.org/10.14569/IJACSA.2023.0140745 PDF

46

A Vehicle Classification System for Intelligent Transport System using Machine Learning in Constrained Environment

Author 1: Ahmed S. Alghamdi Author 2: Talha Imran Author 3: Khalid T. Mursi Author 4: Atika Ejaz Author 5: Muhammad Kamran Author 6: Abdullah Alamri

Vehicle type classification has an extensive variety of applications which include intelligent parking systems, traffic flow-statistics, toll collecting system, vehicle access control, congestion management, security system and many more. These applications are designed for reliable and secure transportation. Vehicle classification is one of the major challenges of these applications particularly… Read full abstract & cite →

Vehicle classification intelligent transport system deep learning machine learning CNN digital image processing

Abstract doi.org/10.14569/IJACSA.2023.0140746 PDF

47

Drug Resistant Prediction Based on Plasmodium Falciparum DNA-Barcoding using Bidirectional Long Short Term Memory Method

Author 1: Lailil Muflikhah Author 2: Nashi Widodo Author 3: Novanto Yudistira Author 4: Achmad Ridok

Malaria disease mostly affects children and causes death every year. Multiple factors of the disease due to failure in treatment, including anti-malaria drug resistance. The resistance is caused by a decrease in the efficacy of the drug against Plasmodium parasites. Therefore, we proposed a computational approach using deep learning methods… Read full abstract & cite →

Drug resistant plasmodium falciparum Bi-LSTM deep learning

Abstract doi.org/10.14569/IJACSA.2023.0140747 PDF

48

Toward Modeling Trust Cyber-Physical Systems: A Model-based System Engineering Method

Author 1: Zina Oudina Author 2: Makhlouf Derdour

Developing trust in cyber-physical systems (CPSs) is a challenging task. Trust in CPS is needed for carrying out their intended duties and is reasonably safe from misuse and intrusion; it also enforces the applicable security policy. As an example, medical smart devices, many researches have found that trust is a… Read full abstract & cite →

Cyber Physical Systems (CPSs) trust CPS system engineering (SE) model-based system engineering (MBSE) SysML

Abstract doi.org/10.14569/IJACSA.2023.0140748 PDF

49

Construction of an Ontology-based Document Collection for the IT Job Offer in Morocco

Author 1: Zineb Elkaimbillah Author 2: Bouchra El Asri Author 3: Mounia Mikram Author 4: Maryem Rhanoui

Information Technology (IT) job offers are available on the web in a heterogeneous way. It is difficult for a candidate looking for an IT job to retrieve the exact information they need to locate the ideal match for their profile, without wasting time on useless searches. Traditional IT job search… Read full abstract & cite →

Ontology IT job descriptions semantic links DL query protégé 5.5.0

Abstract doi.org/10.14569/IJACSA.2023.0140749 PDF

50

Enhancing User Experience Via Calibration Minimization using ML Techniques

Author 1: Sarah N. AbdulKader Author 2: Taha M. Mohamed

Electromyogram (EMG) signals are used to recognize gestures that could be used for prosthetic-based and hands-free human computer interaction. Minimizing calibration times for users while preserving the accuracy, is one of the main challenges facing the practicality, user acceptance and spread of upper limb movements’ detection systems. This paper studies… Read full abstract & cite →

EMG signals user independence EMG user acceptance HCI movement classification calibration minimization

Abstract doi.org/10.14569/IJACSA.2023.0140750 PDF

51

A New Approach Method for Multi Classification of Lung Diseases using X-Ray Images

Author 1: Sri Heranurweni Author 2: Andi Kuniawan Nugroho Author 3: Budiani Destyningtias

Lung disease is one of the most common diseases in today's society. This lung disease's treatment is frequently postponed. This is usually due to a lack of understanding about proper treatment and a lack of clear information about lung disease. Reading the correct X-ray images, which is usually done by… Read full abstract & cite →

Augmentation machine learning lung disease prepossessing

Abstract doi.org/10.14569/IJACSA.2023.0140751 PDF

52

Optimizing YOLO Performance for Traffic Light Detection and End-to-End Steering Control for Autonomous Vehicles in Gazebo-ROS2

Author 1: Hoang Tran Ngoc Author 2: Khang Hoang Nguyen Author 3: Huy Khanh Hua Author 4: Huynh Vu Nhu Nguyen Author 5: Luyl-Da Quach

Autonomous driving has become a popular area of research in recent years, with accurate perception and recognition of the environment being critical for successful implementation. Traditional methods for recognizing and controlling steering rely on the color and shape of traffic lights and road lanes, which can limit their ability to… Read full abstract & cite →

Yolo models PID CNN gazebo ROS2 traffic-light lane-keeping autonomous

Abstract doi.org/10.14569/IJACSA.2023.0140752 PDF

53

DefBDet: An Intelligent Default Borrowers Detection Model

Author 1: Fooz Alghamdi Author 2: Nora Alkhamees

The growing popularity and availability of online lending platforms have attracted more borrowers and lenders. There have been several studies focusing on analyzing loan risks in the financial industry, however, defaulting loans still remains an issue that needs more attention. Hence, this research aims to develop an intelligent prediction model… Read full abstract & cite →

Default borrowers default loans loan risks machine learning models prediction model

Abstract doi.org/10.14569/IJACSA.2023.0140753 PDF

54

Effects of Training Data on Prediction Model for Students' Academic Progress

Author 1: Susana Limanto Author 2: Joko Lianto Buliali Author 3: Ahmad Saikhu

The ability to predict students’ academic performance before the start of the class with credible accuracy could significantly aid the preparation of effective teaching and learning strategies. Several studies have been conducted to enhance the performance of prediction models by emphasizing three key factors: developing effective prediction algorithms, identifying significant… Read full abstract & cite →

Decision tree effects of training data heterogeneity prediction students’ academic performance

Abstract doi.org/10.14569/IJACSA.2023.0140754 PDF

55

A Novel Framework for Detecting Network Intrusions Based on Machine Learning Methods

Author 1: Batyrkhan Omarov Author 2: Nazgul Abdinurova Author 3: Zhamshidbek Abdulkhamidov

In the rapidly evolving landscape of cyber threats, the efficacy of traditional rule-based network intrusion detection systems has become increasingly questionable. This paper introduces a novel framework for identifying network intrusions, leveraging the power of advanced machine learning techniques. The proposed methodology steps away from the rigidity of conventional systems… Read full abstract & cite →

Attack detection intrusion detection machine learning information security artificial intelligence

Abstract doi.org/10.14569/IJACSA.2023.0140755 PDF

56

A Dynamic Model for Risk Assessment of Cross-Border Fresh Agricultural Supply Chain

Author 1: Honghong Zhai

The cross-border trade of Fresh Agricultural Products (FAP) is widespread in the current society, and the demand for it is also increasing. The cross-border fresh agricultural product Supply Chain (SP) itself has strong complexity and high costs, and it also bears many risks. In order to alleviate the adverse impact… Read full abstract & cite →

Cross-border fresh agricultural products supply chain management risk identification system dynamics model risk weighting

Abstract doi.org/10.14569/IJACSA.2023.0140756 PDF

57

Design of an Educational Platform for Professional Development of Teachers with Elements of Blockchain Technology

Author 1: Aivar Sakhipov Author 2: Talgat Baidildinov Author 3: Madina Yermaganbetova Author 4: Nurzhan Ualiyev

This paper presents an in-depth examination of the development and implementation of an innovative platform for teacher professional development, incorporating features of blockchain technology. The platform manifests a revolutionary step in enhancing teacher training, creating a secure, transparent, and decentralized approach for maintaining continuous professional development records. Using blockchain's inherent… Read full abstract & cite →

Blockchain professional development artificial intelligence teaching learning

Abstract doi.org/10.14569/IJACSA.2023.0140757 PDF

58

Predicting Maintenance Labor Productivity in Electricity Industry using Machine Learning: A Case Study and Evaluation

Author 1: Mariam Alzeraif Author 2: Ali Cheaitou Author 3: Ali Bou Nassif

Predicting maintenance labor productivity is crucial for effective planning and decision-making in the electricity industry. This paper aims at predicting maintenance labor productivity using various machine learning methods, utilizing a real-world case study from the electricity industry. Additionally, the study evaluates the performance of the employed machine learning methods. To… Read full abstract & cite →

Productivity machine learning maintenance prediction ANN

Abstract doi.org/10.14569/IJACSA.2023.0140758 PDF

59

Web Phishing Classification Model using Artificial Neural Network and Deep Learning Neural Network

Author 1: Noor Hazirah Hassan Author 2: Abdul Sahli Fakharudin

Phishing is an online crime in which a cybercriminal tries to persuade internet users to reveal important and sensitive personal information, such as bank account details, usernames, passwords, and social security numbers, to the phisher, usually for mean purposes. The target victim of the fraud suffers a financial loss, as… Read full abstract & cite →

Phishing website classification artificial neural network convolutional neural network machine learning

Abstract doi.org/10.14569/IJACSA.2023.0140759 PDF

60

Purchase Intention and Sentiment Analysis on Twitter Related to Social Commerce

Author 1: Muhammad Alviazra Virgananda Author 2: Indra Budi Author 3: Kamrozi Author 4: Ryan Randy Suryono

Social commerce is a digital and efficient solution to transform existing commerce and address contemporary issues. TikTok Shop, a popular and trending social commerce platform, competes with established competitors like Facebook Marketplace and Instagram Shop. TikTok Shop offers benefits and incentives to attract users for both sales and product purchases… Read full abstract & cite →

Algorithm machine learning sentiment social commerce

Abstract doi.org/10.14569/IJACSA.2023.0140760 PDF

61

Ensemble Deep Learning (EDL) for Cyber-bullying on Social Media

Author 1: Zarapala Sunitha Bai Author 2: Sreelatha Malempati

Cyber-bullying is a growing problem in the digital age, affecting millions of people worldwide. Deep learning algorithms have the potential to assist in identifying and combating Cyber-bullying by detecting and classifying harmful messages. This paper uses two Ensemble deep learning (EDL) models to detect Cyber-bullying on text data, images and… Read full abstract & cite →

Cyber bullying ensemble deep learning (EDL) convolutional neural networks (CNNs) recurrent neural networks (RNNs) deep belief networks (DBNs)

Abstract doi.org/10.14569/IJACSA.2023.0140761 PDF

62

A Novel Software Quality Characteristic Recommendation Model to Handle the Dynamic Requirements of Software Projects that Improves Service Quality and Cost

Author 1: Kamal Borana Author 2: Meena Sharma Author 3: Deepak Abhyankar

The software is created and constructed to address particular issues in the applied field. In this context, there is a need to be aware of the crucial characteristics to assess the quality of software. But not all software requires checking all the quality-of-service parameters, resulting in effort loss and time… Read full abstract & cite →

Recommendation system software quality model ML (Machine Learning) quality matrix software quality characteristics

Abstract doi.org/10.14569/IJACSA.2023.0140762 PDF

63

Enhancing Facemask Detection using Deep learning Models

Author 1: Abdullahi Ahmed Abdirahman Author 2: Abdirahman Osman Hashi Author 3: Ubaid Mohamed Dahir Author 4: Mohamed Abdirahman Elmi Author 5: Octavio Ernest Romo Rodriguez

Face detection and mask detection are critical tasks in the context of public safety and compliance with mask-wearing protocols. Hence, it is important to track down whoever violated rules and regulations. Therefore, this paper aims to implement four deep learning models for face detection and face with mask detection: MobileNet… Read full abstract & cite →

Object detection deep learning detection face detection mask detection convolutional neural network

Abstract doi.org/10.14569/IJACSA.2023.0140763 PDF

64

Sequential Model-based Optimization Approach Deep Learning Model for Classification of Multi-class Traffic Sign Images

Author 1: Si Thu Aung Author 2: Jartuwat Rajruangrabin Author 3: Ekkarut Viyanit

Autonomous vehicles are currently gaining popularity in the future mobility ecosystem. The development of autonomous driving systems is still challenging in the research area of image processing and signal processing. Extensive research work was conducted on various traffic sign datasets. It achieved respectable results, but a robust network structure is… Read full abstract & cite →

Autonomous driving convolutional neural network deep learning traffic sign optimization

Abstract doi.org/10.14569/IJACSA.2023.0140764 PDF

65

Whale Optimization-Driven Generative Convolutional Neural Network Framework for Anaemia Detection from Blood Smear Images

Author 1: S. Yazhinian Author 2: Vuda Sreenivasa Rao Author 3: J. C. Sekhar Author 4: Suganthi Duraisamy Author 5: E. Thenmozhi

Anaemia is a frequent blood disorder marked by a reduction in the quantity of haemoglobin or the number of red blood cells in the blood. Quick and accurate anaemia detection is crucial for fast action and effective treatment. In this research, we provide a new structure called Whale Optimization-Driven Generative… Read full abstract & cite →

Generative adversarial network blood smear images convolutional neural network anaemia Whale Optimization

Abstract doi.org/10.14569/IJACSA.2023.0140765 PDF

66

A Transformer-CNN Hybrid Model for Cognitive Behavioral Therapy in Psychological Assessment and Intervention for Enhanced Diagnostic Accuracy and Treatment Efficiency

Author 1: Veera Ankalu Vuyyuru Author 2: G Vamsi Krishna Author 3: S. Suma Christal Mary Author 4: S. Kayalvili Author 5: Abraheem Mohammed Sulayman Alsubayhay

The use of Cognitive Behavioral Therapy (CBT) as a method for psychological assessment and intervention has shown to be quite successful. However, by utilizing advancements in artificial intelligence and natural language processing techniques, the diagnostic precision and therapeutic efficacy of CBT can be significantly improved. For CBT in psychological evaluation… Read full abstract & cite →

CBT psychological assessment intervention diagnostic accuracy treatment efficiency Transformer CNN NLP

Abstract doi.org/10.14569/IJACSA.2023.0140766 PDF

67

A Stacking-based Ensemble Framework for Automatic Depression Detection using Audio Signals

Author 1: Suresh Mamidisetti Author 2: A. Mallikarjuna Reddy

Mental illnesses are severe obstacles for the global welfare. Depression is a psychological disorder which causes problems to the individual and also to his/her dependents. Machine learning based methods using audio signals can differentiate patterns between healthy and depressive subjects. These methods can assist health care professionals to detect the… Read full abstract & cite →

Health care depression detection acoustic features speech elicitation feature selection openSMILE ensemble methods

Abstract doi.org/10.14569/IJACSA.2023.0140767 PDF

68

Optimizing Port Operations: Synchronization, Collision Avoidance, and Efficient Loading and Unloading Processes

Author 1: Sakhi Fatima Ezzahra Author 2: Bellat Abdelouahad Author 3: Mansouri Khalifa Author 4: Qbadou Mohammed

This study focuses on optimizing the loading and unloading processes in a port environment by employing synchronization techniques and collision avoidance mechanisms. The objective function of this research aims to minimize the time required for these tasks while ensuring efficient coordination and safety. The obtained results are compared with previous… Read full abstract & cite →

Optimizing synchronization collision efficient time

Abstract doi.org/10.14569/IJACSA.2023.0140768 PDF

69

Optimized Ensemble of Hybrid RNN-GAN Models for Accurate and Automated Lung Tumour Detection from CT Images

Author 1: Atul Tiwari Author 2: Shaikh Abdul Hannan Author 3: Rajasekhar Pinnamaneni Author 4: Abdul Rahman Mohammed Al-Ansari Author 5: Yousef A.Baker El-Ebiary Author 6: S. Prema Author 7: R. Manikandan

The early diagnosis and treatment of lung tumour, the primary cause of cancer-related deaths globally, depend critically on the identification of lung tumours. In this approach, a new method is suggested for detecting lung tumours that combines a Gaussian filter with a hybrid Recurrent Neural Network-Generative Adversarial Network (RNN-GAN). Utilising… Read full abstract & cite →

Lung tumour recurrent neural network generative adversarial network CT images hybrid

Abstract doi.org/10.14569/IJACSA.2023.0140769 PDF

70

U-Net-based Pancreas Tumor Segmentation from Abdominal CT Images

Author 1: H S Saraswathi Author 2: Mohamed Rafi

There is no doubt that pancreatic cancer is one of the most deadly types of cancer. In order to diagnose and stage pancreatic tumors, computed tomography (CT) is widely used. However, manual segmentation of volumetric CT scans is a time-consuming and subjective process. It has been shown that the U-Net… Read full abstract & cite →

U-net deep learning segmentation computed tomography images hyper parameters PDAC

Abstract doi.org/10.14569/IJACSA.2023.0140770 PDF

71

Personating GA Neural Fuzzy Hybrid System for Computing HD Probability

Author 1: Rahul Kumar Jha Author 2: Santosh Kumar Henge Author 3: Sanjeev Kumar Mandal Author 4: C Menaka Author 5: Deepak Mehta Author 6: Aditya Upadhyay Author 7: Ashok Kumar Saini Author 8: Neha Mishra

The cardiovascular disease (CD) is a widespread, dangerous sickness involving an excessive rate of demise that necessitates quick piousness for care and cure. There are numerous diagnostic methods, such as angiography, available to diagnose heart disease (HD). ML is an extremely leading option for scientists for discovering prediction-based explanations for… Read full abstract & cite →

Dickey-Fuller test case (DF-TC) HA prediction (HAP) heart rate variability (HRV) artificial based neural network (AbNN) Fuzzy Inference System (FuzIS) genetic-based algorithm (GbA) multi-objective evolutionary Fuzzy classifier (MOEFC) heart attack (HA) fuzzification-mode (FuzM) de-fuzzification-mode (De-FuzM)

Abstract doi.org/10.14569/IJACSA.2023.0140771 PDF

72

DeepCyberDetect: Hybrid AI for Counterfeit Currency Detection with GAN-CNN-RNN using African Buffalo Optimization

Author 1: Franciskus Antonius Author 2: Jarubula Ramu Author 3: P. Sasikala Author 4: J. C. Sekhar Author 5: S. Suma Christal Mary

Modern technology has made a big contribution to the distribution of counterfeit money and the valuation of it. This paper recommends a deep learning-based methodology for currency recognition in order to extract attributes and identify money values; machine learning's binary classification task of fake currency detection. One can train a… Read full abstract & cite →

Fake currency convolutional neural network generative adversarial networks recurrent neural network African Buffalo Optimization

Abstract doi.org/10.14569/IJACSA.2023.0140772 PDF

73

Prediction of Cardiac Arrest by the Hybrid Approach of Soft Computing and Machine Learning

Author 1: Subrata Kumar Nayak Author 2: Sateesh Kumar Pradhan Author 3: Sujogya Mishra Author 4: Sipali Pradhan Author 5: P. K. Pattnaik

Cardiac-related diseases are the major reason for the increased mortality rate. The early predictions of cardiac diseases like ventricular fibrillation (VF) are always challenging for doctors and data analysts. Early prediction of these diseases can save million lives. If the symptoms of these diseases are predicted early, the chance of… Read full abstract & cite →

Ventricular fibrillation (VF) heart rate variability (HRV) Rough Set Theory (RST) support vector machine (SVM) regression analysis Adaboost method

Abstract doi.org/10.14569/IJACSA.2023.0140773 PDF

74

An Improved Artificial Bee Colony Optimization Algorithm for Test Suite Minimization

Author 1: Neeru Ahuja Author 2: Pradeep Kumar Bhatia

Software testing is essential process for maintaining the quality of software. Due to changes in customer demands or industry, software needs to be updated regularly. Therefore software becomes more complex and test suite size also increases exponentially. As a result, testing incurs a large overhead in terms of time, resources… Read full abstract & cite →

Test suite test suite minimization TLBO ABC nature inspired algorithm

Abstract doi.org/10.14569/IJACSA.2023.0140774 PDF

75

Automated Characterization of Autism Spectrum Disorder using Combined Functional and Structural MRI Analysis

Author 1: Nour El Houda Mezrioui Author 2: Kamel Aloui Author 3: Amine Nait-Ali Author 4: Mohamed Saber Naceur

Autism Spectrum Disorders (ASD) are among the most critical health concerns of our time. These disorders typically present challenges in social interaction, communication, and exhibit repetitive behaviors. To diagnose and customize medical treatments for ASD effectively, the development of robust neuroimaging biomarkers is indispensable. Although extensive studies have recently delved… Read full abstract & cite →

Autism spectrum disorder (ASD) Magnetic Resonance Imaging (MRI) functional Magnetic Resonance Imaging (fMRI) Artificial Neural Network (ANN)

Abstract doi.org/10.14569/IJACSA.2023.0140775 PDF

76

Blockchain Architecture Based on Decentralised PoW Algorithm

Author 1: Cinthia P. Pascual Caceres Author 2: Jose Vicente Berna Martinez Author 3: Francisco Maciá Pérez Author 4: Iren Lorenzo Fonseca Author 5: Maria E. Almaral Martinez

Blockchain has gained increasing popularity across various industries due to its decentralized, stable, and secure nature. Consensus algorithms play a crucial role in maintaining the security and efficiency of Blockchain systems and selecting the right algorithm can lead to significant performance improvements. This article aims to provide a comparative review… Read full abstract & cite →

Blockchain technology proof of work consensus algorithm proof of stake Dissociated-PoW security performance

Abstract doi.org/10.14569/IJACSA.2023.0140776 PDF

77

Sentiment Analysis of Code-mixed Social Media Data on Philippine UAQTE using Fine-tuned mBERT Model

Author 1: Lany L. Maceda Author 2: Arlene A. Satuito Author 3: Mideth B. Abisado

The Universal Access to Quality Tertiary Education (UAQTE) marks a significant policy change in the Philippines. While the program’s objective is to offer free higher education and tertiary education subsidies to eligible Filipino students, its viability and effectiveness have been subject to scrutiny and continuous evaluation. This study explores the… Read full abstract & cite →

Sentiment analysis UAQTE code-mixing policy-making multilingual BERT

Abstract doi.org/10.14569/IJACSA.2023.0140777 PDF

78

Criminal Law Risk Management and Prediction Method based on Echo State Network

Author 1: Zhe Li

Criminal law plays an important role in maintaining social security and achieving effective social control. However, criminal law has hidden risks that cannot be ignored at the legislative, judicial and theoretical levels. This paper starts from all aspects of criminal law, analyzes criminal law risk and its management measures, and… Read full abstract & cite →

Echo state network model criminal law risk prediction risk prediction

Abstract doi.org/10.14569/IJACSA.2023.0140778 PDF

79

A Novel 2D Deep Convolutional Neural Network for Multimodal Document Categorization

Author 1: Rustam Abkrakhmanov Author 2: Aruzhan Elubaeva Author 3: Tursinbay Turymbetov Author 4: Venera Nakhipova Author 5: Shynar Turmaganbetova Author 6: Zhanseri Ikram

Digitized documents are increasingly becoming prevalent in various industries. The ability to accurately classify these documents is critical for efficient and effective management. However, digitized documents often come in different formats, making document classification a challenging task. In this paper, we propose a multimodal deep learning approach for digitized document… Read full abstract & cite →

Scanned documents classification document categorization artificial intelligence machine learning deep learning

Abstract doi.org/10.14569/IJACSA.2023.0140779 PDF

80

Artificial Neural Network for Binary and Multiclassification of Network Attacks

Author 1: Bauyrzhan Omarov Author 2: Alma Kostangeldinova Author 3: Lyailya Tukenova Author 4: Gulsara Mambetaliyeva Author 5: Almira Madiyarova Author 6: Beibut Amirgaliyev Author 7: Bakhytzhan Kulambayev

Diving into the complex realm of network security, the research paper investigates the potential of leveraging artificial neural networks (ANNs) to identify and classify network intrusions. Balancing two distinct paradigms – binary and multiclassification – the study breaks fresh ground in this intricate field. Binary classification takes the stage initially… Read full abstract & cite →

Neural networks artificial intelligence detection classification attacks network security

Abstract doi.org/10.14569/IJACSA.2023.0140780 PDF

81

Lung Nodule Segmentation and Classification using U-Net and Efficient-Net

Author 1: Suriyavarman S Author 2: Arockia Xavier Annie R

The ability to detect lung cancer has led to better health outcomes. Deep learning techniques are widely used in the medical field to detect lung tumors at an early stage. Deep learning models such as U-Net, Efficient-Net, Resnet, VGG-16, etc. have been incorporated in various studies to detect lung cancer… Read full abstract & cite →

Cancer CT U-Net efficient-net feature accuracy

Abstract doi.org/10.14569/IJACSA.2023.0140781 PDF

82

Providing an Improved Resource Management Approach for Healthcare Big Data Processing in Cloud Computing Environment

Author 1: Fei Zhou Author 2: Huaibao Ding Author 3: Xiaomei Ding

Due to the gathering of big data and the advancement of machine learning, the healthcare industry has recently experienced fast change. Acceleration of operations related to the analysis and retrieval of healthcare data is essential to facilitate surveillance. However, providing healthcare to the community is a complex task that is… Read full abstract & cite →

Healthcare big data cloud confederation service quality Cloud Resource Management (CRM)

Abstract doi.org/10.14569/IJACSA.2023.0140782 PDF

83

Open Information Extraction Methodology for a New Curated Biomedical Literature Dataset

Author 1: Nesma Abdel Aziz Hassan Author 2: Rania Ahmed Abdel Azeem Abul Seoud Author 3: Dina Ahmed Salem

The research articles contain a wealth of information about the interactions between biomedical entities. However, manual relation extraction processing from the literature by domain experts takes a lot of time and money. In addition, it is often prohibitively expensive and labor-intensive, especially in biomedicine where domain knowledge is required. For… Read full abstract & cite →

Relation extraction BERT open information extraction biomedical literature ChemProt DDI

Abstract doi.org/10.14569/IJACSA.2023.0140783 PDF

84

Detection and Investigation Model for the Hard Disk Drive Attacks using FTK Imager

Author 1: Ahmad Alshammari

A computer hard disk drive (HDD) is a device that stores, organizes, and manages computer data. In general, it is used for system storage, in which the computer maintains its operating system and other programs. A hard disk drive can, however, be physically damaged as well as affected by software… Read full abstract & cite →

HDD cybercrimes design science method digital forensic tools FTK imager

Abstract doi.org/10.14569/IJACSA.2023.0140784 PDF

85

Application of VR Technology Based on Gesture Recognition in Animation-form Capture

Author 1: Jing Yang Author 2: Hao Zhang

To accurately capture the posture of animation characters in virtual vision and optimize the user's experience when wearing virtual vision equipment, the hybrid Gaussian model has gained wide attention. However, various types of animation show an exponential growth trend, and the hybrid Gaussian model is prone to low-dimensional explosion when… Read full abstract & cite →

Frame rate reduction method model feature points Wronsky function mixed Gaussian model weight learning rate

Abstract doi.org/10.14569/IJACSA.2023.0140785 PDF

86

GDM-PREP: A Rule-Based Technique to Enhance Early Detection of Gestational Diabetes Mellitus

Author 1: Ayunnie Azmi Author 2: Nurulhuda Zainuddin Author 3: Azmi Aminordin Author 4: Masurah Mohamad

Gestational diabetes mellitus (GDM), a condition occurring solely during pregnancy, poses risks to both expectant mothers and their infants, particularly among individuals with pre-existing risk factors. However, early diagnosis and effective management of GDM can help mitigate potential complications. As part of the Ministry of Health's efforts to enhance screening… Read full abstract & cite →

Gestational diabetes mellitus (GDM) rule based expert systems risk factor

Abstract doi.org/10.14569/IJACSA.2023.0140786 PDF

87

Innovating Art with Augmented Reality: A New Dimension in Body Painting

Author 1: Dou Lei Author 2: Wan Samiati Andriana W. Mohamad Daud

This study investigates the fusion of augmented reality (AR) and body painting as a novel concept for artistic expression. By combining the immersive capabilities of AR with the creative potential of body painting, this research explores individuals' perceptions and attitudes towards this innovative artistic approach from an HCI perspective. Drawing… Read full abstract & cite →

Augmented reality body paintings artistic expression technology acceptance

Abstract doi.org/10.14569/IJACSA.2023.0140787 PDF

88

The Essence of Software Engineering Framework-based Model for an Agile Software Development Method

Author 1: Teguh Raharjo Author 2: Betty Purwandari Author 3: Eko K. Budiardjo Author 4: Rina Yuniarti

Agile development's rapid growth is due to its ability to address complex problems and facilitate a smooth transition from traditional methods. However, no single Agile method can fit every organization, which leads to a lack of adoption guidelines. It triggers this investigation by proposing an Agile development method model based… Read full abstract & cite →

Agile common ground the essence of software engineering framework Design Science Research (DSR)

Abstract doi.org/10.14569/IJACSA.2023.0140788 PDF

89

Effective Face Recognition using Adaptive Multi-scale Transformer-based Resnet with Optimal Pattern Extraction

Author 1: Santhosh Shivaprakash Author 2: Sannangi Viswaradhya Rajashekararadhya

Human face is the major characteristic for identifying a person and it helps to differentiate each person. Face recognition methods are mainly useful for determining a person’s identity with the help of biometric techniques. Face recognition methods are used in many practical applications like criminal identification, the phone unlocks systems… Read full abstract & cite →

Face recognition facial images optimal pattern extraction rate local binary patterns local vector patterns improved rat swarm optimization algorithm adaptive multi-scale transformer-based Resnet

Abstract doi.org/10.14569/IJACSA.2023.0140789 PDF

90

An Intelligent Malware Classification Model Based on Image Transformation

Author 1: Mohamed Abo Rizka Author 2: Mohamed Hamed Author 3: Hatem A. Khater

Due to financial incentives, the number of malware infections is steadily rising. Accuracy and effectiveness are essential because malware detection systems serve as the first line of defense against harmful attacks. A zero-day vulnerability is a hole in the target operating system, device driver, application, or other tools employing a… Read full abstract & cite →

Malware Classification zero-day Convolutional Neural Networks (CNN) grayscale image transformation Bytehist

Abstract doi.org/10.14569/IJACSA.2023.0140790 PDF

91

Unsupervised Document Binarization of Engineering Drawings via Multi Noise CycleGAN

Author 1: Luqman Hakim Rosli Author 2: Yew Kwang Hooi Author 3: Ong Kai Bin

The task of document binarization of degraded complex documents is tremendously challenging due to the various forms of noise often present in these documents. While the current state-of-the-art deep learning approaches are capable for the removal of various noise types in documents with high accuracy, they employ a supervised learning… Read full abstract & cite →

Image processing and computer vision generative adversarial networks document binarization deep learning

Abstract doi.org/10.14569/IJACSA.2023.0140791 PDF

92

Light Weight Circular Error Learning Algorithm (CELA) for Secure Data Communication Protocol in IoT-Cloud Systems

Author 1: Mangala N Author 2: Eswara Reddy B Author 3: Venugopal K R

The data driven smart applications, utilize the IoT, Cloud Computing, AI and other digital technologies to create, curate and operate on large amounts of data to provide intelligent solutions for day-to-day problems. Security of Data in the IoT-Cloud systems has become very crucial as there are several attacks such as… Read full abstract & cite →

Quantum secure cryptography homomorphic encryption lattice-based cryptography Learning With Errors (LWE) Ring Learning With Errors (RLWE) Circular Error Learning Algorithm (CELA)

Abstract doi.org/10.14569/IJACSA.2023.0140792 PDF

93

Intelligent Anomaly Detection Method of Gateway Electrical Energy Metering Devices using Deep Learning

Author 1: Lihua Zhang Author 2: Xu Chen Author 3: Chao Zhang Author 4: Lingxuan Zhang Author 5: Binghang Zou

Accurate anomaly detection of gateway electrical energy metering device is important for maintenance and operations in the power systems. Traditionally, anomaly detection was typically performed manually through the analysis of the collected energy information. However, the manual process is time-consuming and labor-intensive. In this condition, this paper proposes a hybrid… Read full abstract & cite →

Anomaly detection gateway electric energy metering device stacked autoencoder long short-term memory

Abstract doi.org/10.14569/IJACSA.2023.0140793 PDF

94

Semantic Privacy Inference Preservation Algorithm for Indoor Trajectory

Author 1: Abdullah Alamri

Indoor location services have become an increasingly important part of our everyday lives in recent years. Despite the numerous benefits these services offer, serious concerns have arisen about the privacy of users’ locations. Adversaries can monitor user-requested locations in order to obtain sensitive information such as shopping patterns. Many users… Read full abstract & cite →

Privacy semantic ontology indoor space routing algorithm spatial databases

Abstract doi.org/10.14569/IJACSA.2023.0140794 PDF

95

Knee Cartilage Segmentation using Improved U-Net

Author 1: Nawaf Waqas Author 2: Sairul Izwan Safie Author 3: Kushsairy Abdul Kadir Author 4: Sheroz Khan

Patello-femoral joint stability is a complex problem and requires detailed anatomic parametric study for knowing the associated breakdowns of knee cartilage. Osteoarthritis is one of the main disorders, which disrupt the normal bio-mechanics and stability of the patello-femoral joint and for diagnosing osteoarthritis radiologists needs a lot of time to… Read full abstract & cite →

Knee image segmentation U-Net loss function squeeze and excitation

Abstract doi.org/10.14569/IJACSA.2023.0140795 PDF

96

An Integrated Framework for Relevance Classification of Trending Topics in Arabic Tweets

Author 1: Abdullah M. Alkadri Author 2: Abeer ElKorany Author 3: Cherry A. Ezzat

Social media platforms such as Twitter are a valuable source of information about current events and trends. Trending topics aim to promote public events such as political events, market changes, and other types of breaking news. However, with so much data being generated, it would be difficult to identify relevant… Read full abstract & cite →

Trending topics social media platforms machine learning Arabic relevance classification data augmentation

Abstract doi.org/10.14569/IJACSA.2023.0140796 PDF

97

Generative Adversarial Network-based Approach for Automated Generation of Adversarial Attacks Against a Deep-Learning based XSS Attack Detection Model

Author 1: Rokia Lamrani Alaoui Author 2: El Habib Nfaoui

Cross Site Scripting attack (XSS) is one of the most famous and dangerous web attacks. In XSS attacks, illegitimate technical methods are used by attackers to disclose sensitive data from web site users, which result in an important finance and reputation loss to the web site’s owner. There exist numerous… Read full abstract & cite →

Deep learning generative adversarial network LSTM web attacks adversarial attacks Cross Site Scripting attack

Abstract doi.org/10.14569/IJACSA.2023.0140797 PDF

98

A Review on Machine-Learning and Nature-Inspired Algorithms for Genome Assembly

Author 1: Asmae Yassine Author 2: Mohammed Essaid Riffi

Genome assembly plays a crucial role in the field of bioinformatics, as current sequencing technologies are unable to sequence an entire genome at once where the need for fragmenting into short sequences and reassembling them. The genomes often contain repetitive sequences and duplicated regions, which can lead to ambiguities during… Read full abstract & cite →

Artificial intelligence genome assembly machine learning bioinformatics bio-inspired algorithms

Abstract doi.org/10.14569/IJACSA.2023.0140798 PDF

99

Predicting Customer Segment Changes to Enhance Customer Retention: A Case Study for Online Retail using Machine Learning

Author 1: Lahcen ABIDAR Author 2: Dounia ZAIDOUNI Author 3: Ikram EL ASRI Author 4: Abdeslam ENNOUAARY

In today’s highly competitive marketplace, advertisers strive to tailor their messages to specific individuals or groups, often overlooking their most significant clients. The Pareto principle, asserting that 80% of sales come from 20% of customers, offers valuable insights, imagine if companies could accurately forecast this vital 20% and recognize its… Read full abstract & cite →

Customer segment changes customer retention marketing actions informed decisions advertising strategies

Abstract doi.org/10.14569/IJACSA.2023.0140799 PDF

100

Review of Existing Datasets Used for Software Effort Estimation

Author 1: Mizanur Rahman Author 2: Teresa Goncalves Author 3: Hasan Sarwar

The Software Effort Estimation (SEE) tool calculates an estimate of the amount of work that will be necessary to effectively finish the project. Managers usually want to know how hard a new project will be ahead of time so they can divide their limited resources in a fair way. In… Read full abstract & cite →

Software effort estimation software effort prediction software effort estimation datasets

Abstract doi.org/10.14569/IJACSA.2023.01407100 PDF

101

Employee Attrition Prediction using Nested Ensemble Learning Techniques

Author 1: Muneera Saad Alshiddy Author 2: Bader Nasser Aljaber

In many industries, including the IT industry, rising employee attrition is a major concern. Hiring a candidate for an unsuitable job because of issues with the employment process can lead to employee attrition. Thus, enhancing the employment process would reduce the attrition rate. This paper aims to investigate the effect… Read full abstract & cite →

Nested ensemble learning employee attrition machine learning employment process

Abstract doi.org/10.14569/IJACSA.2023.01407101 PDF

102

Bird Detection and Species Classification: Using YOLOv5 and Deep Transfer Learning Models

Author 1: Hoang-Tu Vo Author 2: Nhon Nguyen Thien Author 3: Kheo Chau Mui

Bird detection and species classification are important tasks in ecological research and bird conservation efforts. The study aims to address the challenges of accurately identifying bird species in images, which plays a crucial role in various fields such as environmental monitoring, and wildlife conservation. This article presents a comprehensive study… Read full abstract & cite →

Bird detection species classification YOLOv5 deep transfer learning models automated bird monitoring

Abstract doi.org/10.14569/IJACSA.2023.01407102 PDF

103

FCCC: Forest Cover Change Calculator User Interface for Identifying Fire Incidents in Forest Region using Satellite Data

Author 1: Anubhava Srivastava Author 2: Sandhya Umrao Author 3: Susham Biswas Author 4: Rakesh Dubey Author 5: Md. Iltaf Zafar

For the ecosystem to maintain a balance between the social and environmental spheres, forests play a crucial role. The greatest threat to forests for this significance, is fires and natural disasters caused by several factors. It is crucial to assess the genesis and behavioral characteristics of fires in forest areas… Read full abstract & cite →

GEE remote sensing classification landsat sentinel forest fire

Abstract doi.org/10.14569/IJACSA.2023.01407103 PDF

104

Enhancing Computer-assisted Bone Fractures Diagnosis in Musculoskeletal Radiographs Based on Generative Adversarial Networks

Author 1: Nabila Ounasser Author 2: Maryem Rhanoui Author 3: Mounia Mikram Author 4: Bouchra El Asri

Computer-Assisted Bone Fractures Diagnosis in musculoskeletal radiographs plays a crucial role in aiding medical professionals in accurate and timely fracture detection. In this work, we explore a Generative Adversarial Network based approach for this task, which is a powerful deep learning model capable of generating realistic images and detecting anomalies… Read full abstract & cite →

Deep learning generative adversarial network diagnosis orthopedics fracture detection x-ray image

Abstract doi.org/10.14569/IJACSA.2023.01407104 PDF

105

Performance Evaluation of Face Mask Detection for Real-Time Implementation on an Rpi

Author 1: Ivan George L. Tarun Author 2: Vidal Wyatt M. Lopez Author 3: Pamela Anne C. Serrano Author 4: Patricia Angela R. Abu Author 5: Rosula S.J. Reyes Author 6: Ma. Regina Justina E. Estuar

Mask-wearing remains to be one of the primary protective measures against COVID-19. To address the difficulty of manual compliance monitoring, face mask detection models considerate of both frontal and angled faces were developed. This study aimed to test the performance of the said models in classifying multi-face images and upon… Read full abstract & cite →

Face mask detection multi-face detection Raspberry Pi embedded platform

Abstract doi.org/10.14569/IJACSA.2023.01407105 PDF

106

A Hybrid TF-IDF and RNN Model for Multi-label Classification of the Deep and Dark Web

Author 1: Ashwini Dalvi Author 2: Soham Bhoir Author 3: Nishavak Naik Author 4: Atharva Kitkaru Author 5: Irfan Siddavatam Author 6: Sunil Bhirud

The classification of content on the deep and dark web has been a topic of interest for researchers. Researchers focus on adopting more efficient and effective classification methods as the data available on deep and dark web platforms continues to grow. Multi-label classification is the approach for simultaneously categorizing content… Read full abstract & cite →

Deep web dark web multi-label classification TF-IDF FastText RNN

Abstract doi.org/10.14569/IJACSA.2023.01407106 PDF

107

Smart-Agri: A Smart Agricultural Management with IoT-ML-Blockchain Integrated Framework

Author 1: Md. Mamun Hossain Author 2: Md. Ashiqur Rahman Author 3: Sudipto Chaki Author 4: Humayra Ahmed Author 5: Ahsanul Haque Author 6: Iffat Tamanna Author 7: Sweety Lima Author 8: Most. Jannatul Ferdous Author 9: Md. Saifur Rahman

This paper presents intuitive directions for field research by introducing a ground-breaking IoT-ML-driven intelligent farm management platform. This study’s main goal is to address agricultural difficulties by providing a thorough, integrated solution. This work makes a variety of important contributions. By utilizing cutting-edge technology like IoT and Machine Learning (ML)… Read full abstract & cite →

Smart agriculture machine learning internet of things energy harvesting blockchain technology

Abstract doi.org/10.14569/IJACSA.2023.01407107 PDF

108

New Approach based on Association Rules for Building and Optimizing OLAP Cubes on Graphs

Author 1: Redouane LABZIOUI Author 2: Khadija LETRACHE Author 3: Mohammed RAMDANI

The expansion of data has prompted the creation of various NoSQL (Not only SQL) databases, including graph-oriented databases, which provide an understandable abstraction for modeling complex domains and managing highly connected data. However, to add graph data to existing decision support systems, new data warehouse systems that consider the special… Read full abstract & cite →

NoSQL graph-oriented databases data warehouse OLAP aggregation algorithms association rules cypher language

Abstract doi.org/10.14569/IJACSA.2023.01407108 PDF

109

Cloud Task Scheduling using Particle Swarm Optimization and Capuchin Search Algorithms

Author 1: Gang WANG Author 2: Jiayin FENG Author 3: Dongyan JIA Author 4: Jinling SONG Author 5: Guolin LI

Cloud providers offer heterogeneous virtual machines for the execution of a variety of tasks requested by users. These virtual machines are managed by the cloud provider, eliminating the need for users to set up and maintain their hardware. This makes accessing the computing resources necessary to run applications and services… Read full abstract & cite →

Cloud computing virtualization task scheduling optimization resource utilization capuchin search algorithm particle swarm optimization

Abstract doi.org/10.14569/IJACSA.2023.01407109 PDF

110

A Modified Hybrid Algorithm Approach for Solving Harmonic Problems in Power Systems

Author 1: Ning WANG Author 2: Qiuju DENG

A fundamental problem with electrical systems' power quality is electrical harmonics. In order to limit harmonics and their effects on power systems, filters used in electric power systems must be designed with the consideration of power harmonics. The study's suggested approach differs from other hybrid strategies that have been previously… Read full abstract & cite →

Harmonic estimation fuzzy PD controlled harmonic components

Abstract doi.org/10.14569/IJACSA.2023.01407110 PDF

111

Inverted Ant Colony Optimization Algorithm for Data Replication in Cloud Computing

Author 1: Min YANG

Data replication is crucial in enhancing data availability and reducing access latency in cloud computing. This paper presents a dynamic duplicate management method for cloud storage systems based on the Inverted Ant Colony Optimization (IACO) algorithm and a fuzzy logic system. The proposed approach optimizes data replication decisions focusing on… Read full abstract & cite →

Cloud computing data replication cloud data centers reliability energy efficiency inverted ant colony optimization algorithm

Abstract doi.org/10.14569/IJACSA.2023.01407111 PDF

112

Improved Cat Swarm Optimization Algorithm for Load Balancing in the Cloud Computing Environment

Author 1: Wang Dou

Recently, cloud computing has gained recognition as a powerful tool for providing clients with flexible platforms, software services, and cost-effective infrastructures. Cloud computing is a form of distributed computing that allows users to store and process data in a virtual environment instead of a physical server. This is beneficial because… Read full abstract & cite →

Cloud computing resource utilization load balancing optimization

Abstract doi.org/10.14569/IJACSA.2023.01407112 PDF

113

Automatic Fraud Detection in e-Commerce Transactions using Deep Reinforcement Learning and Artificial Neural Networks

Author 1: Yuanyuan Tang

Fraud is a serious issue that has plagued e-commerce for many years, and despite significant efforts to combat it, current fraud detection strategies only catch a small portion of fraudulent transactions. This results in substantial financial losses, with billions of dollars being lost each year. Given the expected surge in… Read full abstract & cite →

Fraud detection reinforcement learning artificial neural network artificial bee colony imbalanced classification

Abstract doi.org/10.14569/IJACSA.2023.01407113 PDF

114

Optimal Scheduling using Advanced Cat Swarm Optimization Algorithm to Improve Performance in Fog Computing

Author 1: Xiaoyan Huo Author 2: Xuemei Wang

Fog computing can be considered a decentralized computing approach that essentially extends the capabilities offered by cloud computing to the periphery of the network. In addition, due to its proximity to the user, fog computing proves to be highly efficient in minimizing the volume of data that needs to be… Read full abstract & cite →

Scheduling fog computing optimal balancing cat swarm optimization algorithm

Abstract doi.org/10.14569/IJACSA.2023.01407114 PDF

115

A Hybrid Cryptography Method using Extended Letters in Arabic and Persian Language

Author 1: Ke Wang

Cryptography is widely used in information security systems. In encryption, the goal is to hide information in such a way that only the sender and receiver are aware of the existence of communication and information. Encryption takes place in various media, such as image, sound and text. Today, the rapid… Read full abstract & cite →

Cryptography extended letters Persian language Arabic language

Abstract doi.org/10.14569/IJACSA.2023.01407115 PDF

116

A Comprehensive Review of Fault-Tolerant Routing Mechanisms for the Internet of Things

Author 1: Zhengxin Lan

The Internet of Things (IoT) facilitates intelligent communication and real-time data collection through dynamic networks. The IoT technology is ideally suited to meet intelligent city requirements and enable remote access. Several cloud-based approaches have been proposed for constrained IoT systems, including scalable data storage and effective routing. In real-world scenarios… Read full abstract & cite →

Internet of things routing data transmission fault-tolerant review

Abstract doi.org/10.14569/IJACSA.2023.01407116 PDF

117

DeepShield: A Hybrid Deep Learning Approach for Effective Network Intrusion Detection

Author 1: Hongjie Lin

In today's rapidly evolving digital landscape, ensuring the security of networks and systems has become more crucial than ever before. The ever-present threat of hackers and intruders attempting to disrupt networks and compromise online services highlights the pressing need for robust security measures. With the continuous advancement of security systems… Read full abstract & cite →

Network intrusion detection system IDS cyber security machine learning deep learning

Abstract doi.org/10.14569/IJACSA.2023.01407117 PDF

118

Deep-Learning-based Analysis of the Patterns Associated with the Changes in the Grit Scores and Understanding Levels of Students

Author 1: Ayako OHSHIRO

The purpose of this study is to classify the pattern of the understanding level changes for university students during class term, and analyze the relation between them and the changes in the Grid score before and after the class term. Dynamic time warping was applied for classification of the understanding… Read full abstract & cite →

Time series dynamic time warping decision tree Grit

Abstract doi.org/10.14569/IJACSA.2023.01407118 PDF