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

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IJACSA Vol. 13 Issue 5 (2022)

Open Access | | 115 papers

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

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1

Implementation of Data Mining on a Secure Cloud Computing over a Web API using Supervised Machine Learning Algorithm

Author 1: Tosin Ige Author 2: Sikiru Adewale

Ever since the era of internet had ushered in cloud computing, there had been increase in the demand for the unlimited data available through cloud computing for data analysis, pattern recognition and technology advancement. With this also bring the problem of scalability, efficiency and security threat. This research paper focuses… Read full abstract & cite →

Cloud computing data warehouse data mining window service Web API machine learning algorithm secure cloud computing
Abstract doi.org/10.14569/IJACSA.2022.0130501 PDF
2

AI Powered Anti-Cyber Bullying System using Machine Learning Algorithm of Multinomial Naïve Bayes and Optimized Linear Support Vector Machine

Author 1: Tosin Ige Author 2: Sikiru Adewale

“Unless and until our society recognizes cyber bullying for what it is, the suffering of thousands of silent victims will continue.” ~ Anna Maria Chavez. There had been series of research on cyber bullying which are unable to provide reliable solution to cyber bullying. In this research work, we were… Read full abstract & cite →

Cyberbullying anti cyberbullying machine learning NLP social media multinomial Naïve Bayes support vector machine
Abstract doi.org/10.14569/IJACSA.2022.0130502 PDF
3

Replica Scheduling Strategy for Streaming Data Mining

Author 1: Shufan Li Author 2: Siyuan Yu Author 3: Fang Xiao

In a distributed storage and computing framework, traditional streaming data mining techniques are inefficient when processing massive amounts of data. In this paper, we take the copy in cloud storage as an allocatable resource for scheduling and propose a RepRM strategy to improve the efficiency of data mining and analysis… Read full abstract & cite →

Streaming data mining dynamic programming replica scheduling strategy cloud computing
Abstract doi.org/10.14569/IJACSA.2022.0130503 PDF
4

Use of Neural Networks in the Adaptive Testing System

Author 1: Ekaterina Vitalevna Chumakova Author 2: Tatiana Alexandrovna Chernova Author 3: Yulia Aleksandrovna Belyaeva Author 4: Dmitry Gennadievich Korneev Author 5: Mikhail Samuilovich Gasparian

The paper examines the issues of the use of adaptive testing systems in terms of their incorporation in artificial neural network modules designed to solve the problem of choosing the next question, thereby forming an individual testing trajectory. The study presents an analysis of data affecting the quality of problem-solving… Read full abstract & cite →

Adaptive testing system artificial neural network machine learning
Abstract doi.org/10.14569/IJACSA.2022.0130504 PDF
5

Development of Ontology-based Domain Knowledge Model for IT Domain in e-Tutor Systems

Author 1: Ghanim Hussein Ali Ahmed Author 2: Jawad Alshboul Author 3: Laszlo Kovacs

Ontology as a technology has been studied in many areas and is being used in several fields. A number of studies have utilized ontology to manage problems such as interoperability in teaching materials, modeling and enriching education resources, and personalizing learning content recommendations in the educational context. A possible reason… Read full abstract & cite →

e-learning knowledge model domain model e-tutor system SPARQL
Abstract doi.org/10.14569/IJACSA.2022.0130505 PDF
6

The Design of Home Fire Monitoring System based on NB-IoT

Author 1: Jun Wang Author 2: Ting Ke Author 3: Mengjie Hou Author 4: Gangyu Hu

In the field of home fire monitoring, the currently relatively mature monitoring solutions include GPRS/GSM com-munication and Zigbee communication. The main disadvantage of GPRS wireless communication is high power consumption, and the disadvantage of Zigbee technology is that it needs to be combined with other communication technologies to realize remote… Read full abstract & cite →

NB-IoT cloud platform fire monitoring system STM32F103C8T6 sensor BP neural network
Abstract doi.org/10.14569/IJACSA.2022.0130506 PDF
7

The Effect of Natural Language Processing on the Analysis of Unstructured Text: A Systematic Review

Author 1: Walter Luis Roldan-Baluis Author 2: Noel Alcas Zapata Author 3: Maria Soledad Manaccasa Vasquez

The analysis of the unstructured text has become a challenge for the community dedicated to natural language processing (NLP) and Machine Learning (ML). This paper aims to describe the potential of the most used NLP techniques and ML algorithms to address various problems afflicting our society. Several original articles were… Read full abstract & cite →

Artificial intelligence natural language processing machine learning unstructured text analysis
Abstract doi.org/10.14569/IJACSA.2022.0130507 PDF
8

Hybrid Fault Diagnosis Method based on Wavelet Packet Energy Spectrum and SSA-SVM

Author 1: Jinglei Qu Author 2: Bingxin Ma Author 3: Xiaojie Ma Author 4: Mengmeng Wang

As one of the important components of mechanical equipment, rolling bearing has been widely used, and its motion state affects the safety and performance of equipment. To enhance the fault feature information in the bearing signal and improve the classification accuracy of support vector machine, a hybrid fault diagnosis method… Read full abstract & cite →

Wavelet packet energy spectrum sparrow search optimization support vector machine rolling bearing
Abstract doi.org/10.14569/IJACSA.2022.0130508 PDF
9

Multi-instance Finger Vein-based Authentication with Secured Templates

Author 1: Swati K. Choudhary Author 2: Ameya K. Naik

The illegitimate access to biometric templates is one of the major issues to be handled for authentication systems. In this work, we propose to use two instances of finger vein images which inherits the advantages of a robust multi-modal biometric authentication system without needing different sensors. Two local texture feature… Read full abstract & cite →

Finger vein multi-instance authentication cancelable template protection
Abstract doi.org/10.14569/IJACSA.2022.0130509 PDF
10

SHD-IoV: Secure Handover Decision in IoV

Author 1: Hala E. I. Jubara

Internet of Vehicle (IoV) is the smartest thing being connected over the Internet. With continuously increasing urban population and swiftly growing of cities, causes moving vehicles with various speeds. These high speeds may increase the handover delay (HoD), accordingly causing an insecure connection due to the handover interruption. For instance… Read full abstract & cite →

Internet of Vehicle (IoV) HO L2 Stream Control Transmission Protocol (SCTP) Secure Handover Decision (SHD) security
Abstract doi.org/10.14569/IJACSA.2022.0130510 PDF
11

The Impact of Security and Payment Method On Consumers’ Perception of Marketplace in Saudi Arabia

Author 1: Mdawi Alqahtani Author 2: Marwan Ali Albahar

Digital transformation has been accelerated in recent years, and COVID-19 has resulted in a rise in overall internet spending. Businesses must take measures in order to ensure that customers have a safe and enjoyable online purchasing experience. In this paper, customers’ security perceptions regarding the most popular e-commerce applications in… Read full abstract & cite →

Payment security digital strategy digital transformation user security
Abstract doi.org/10.14569/IJACSA.2022.0130511 PDF
12

Individual Risk Classification of Crime Groups using Ensemble Classifier Method

Author 1: Ardhito P. Anggana Author 2: Amalia Zahra

The most significant challenge for humanity worldwide to crime, especially terrorist attacks, should be considered. Determining the priority scale for anticipating individual terrorist groups is not easy and will significantly affect work activities and subsequent decision-making measures. Priority scale determination decisions should be made carefully so team members cannot choose… Read full abstract & cite →

Priority scale data mining classification ensemble classifier method
Abstract doi.org/10.14569/IJACSA.2022.0130512 PDF
13

Evaluating the Effectiveness and Usability of AR-based OSH Application: HazHunt

Author 1: Ahmad A. Kamal Author 2: Syahrul N. Junaini Author 3: Abdul H. Hashim

This study investigates the effectiveness and usability level of an augmented reality (AR) application called HazHunt to improve occupational safety and health (OSH) training. Previous research shows that AR has been growing in popularity as an innovative tool to enhance hazard identification courses. HazHunt, a marker-based AR app, was first… Read full abstract & cite →

OSH training computer-aided training online learning marker-based AR AR-based application SUS score
Abstract doi.org/10.14569/IJACSA.2022.0130513 PDF
14

Efficacy of the Image Augmentation Method using CNN Transfer Learning in Identification of Timber Defect

Author 1: Teo Hong Chun Author 2: Ummi Rabaah Hashim Author 3: Sabrina Ahmad Author 4: Lizawati Salahuddin Author 5: Ngo Hea Choon Author 6: Kasturi Kanchymalay

This paper discusses the efficacy of the data augmentation method deployed in many Convolutional Neural Network (CNN) algorithms for determining timber defect in four timber species from Malaysia. A sequence of morphological transformation, involving x-reflection and rotation, was executed in the timber defect augmentation dataset for aiding CNN model training… Read full abstract & cite →

Convolutional neural network deep learning defect identification image augmentation transfer learning
Abstract doi.org/10.14569/IJACSA.2022.0130514 PDF
15

Security Analysis on an Improved Anonymous Authentication Protocol for Wearable Health Monitoring Systems

Author 1: Gayeong Eom Author 2: Haewon Byeon Author 3: Younsung Choi

The wearable health monitoring system (WHMS) plays a significant role in medical experts collecting and using patient medical data. The WHMS is becoming more popular than in the past through mobile devices due to meaningful progress in wireless sensor networks. However, because the data about health used by the WHMS… Read full abstract & cite →

Authentication protocol health status physiological data security analysis WHMS
Abstract doi.org/10.14569/IJACSA.2022.0130515 PDF
16

A Review on Bio-inspired Optimization Method for Supervised Feature Selection

Author 1: Montha Petwan Author 2: Ku Ruhana Ku-Mahamud

Feature selection is a technique that is commonly used to prepare particular significant features or produce understandable data for improving the task of classification. Bio-inspired optimization algorithms have been successfully used to perform feature selection techniques. The exploration and exploitation mechanism that is based on the inspiration of living things… Read full abstract & cite →

Bio-inspired optimization swarm intelligence evolutionary algorithm machine learning
Abstract doi.org/10.14569/IJACSA.2022.0130516 PDF
17

Implementation of a Data Protection Model dubbed Harricent_RSECC

Author 1: Frimpong Twum Author 2: Vincent Amankona Author 3: Yaw Marfo Missah Author 4: Ussiph Najim Author 5: Michael Opoku

Every organization subsists on data, which is a quintessential resource. Quite a number of studies have been carried out relative to procedures that can be deployed to enhance data protection. However, available literature indicates most authors have focused on either encryption or encoding schemes to provide data security. The ability… Read full abstract & cite →

Elliptic curve cryptography encoding encryption Reed Solomon security
Abstract doi.org/10.14569/IJACSA.2022.0130517 PDF
18

Goal Question Metric as an Interdisciplinary Tool for Assessing Mobile Learning Application

Author 1: Sim Yee Wai Author 2: Cheah WaiShiang Author 3: Piau Phang Author 4: Kai-Chee Lam Author 5: Eaqerzilla Phang Author 6: Nurfauza binti Jali

Assessing the mobile learning application among interdisciplinary researchers is a non-trivial task. Mandarin Learning App is a Mandarin 3D game tailor-made for students who choose PBC1033 Mandarin Language Level 1 as an elective course. It is an interdisciplinary project which it involves researchers from software engineering, computational science/mathematics and the… Read full abstract & cite →

Goal question metric mobile application evaluation communication interdisciplinary
Abstract doi.org/10.14569/IJACSA.2022.0130518 PDF
19

Spatial Feature Fusion for Biomedical Image Classification based on Ensemble Deep CNN and Transfer Learning

Author 1: Sanskruti Patel Author 2: Rachana Patel Author 3: Nilay Ganatra Author 4: Atul Patel

Biomedical imaging is a rapidly evolving field that covers different types of imaging techniques which are used for diagnostic and therapeutic purposes. It plays a vital role in diagnosis and treating health conditions of human body. Classification of different imaging modalities plays a vital role in terms of providing better… Read full abstract & cite →

Biomedical images convolutional neural network ensemble deep learning feature fusion
Abstract doi.org/10.14569/IJACSA.2022.0130519 PDF
20

Effectivity Score of Simulation Tools towards Modelling Design in Internet-of-Things

Author 1: Gauri Sameer Rapate Author 2: N C Naveen

Simulation tools play an integral and significant role in studying the applicability and effectiveness of different algorithms for solving real-world problems cost-effectively. In the case of Internet-of-Things, the issues associated with real-world implementation are exponentially multi-fold. Although various simulators have facilitated the evolution of schemes to address the problems in… Read full abstract & cite →

Internet-of-things real-world application simulation model environment
Abstract doi.org/10.14569/IJACSA.2022.0130520 PDF
21

Analysis and Prediction of COVID-19 by using Recurrent LSTM Neural Network Model in Machine Learning

Author 1: N. P. Dharani Author 2: Polaiah Bojja

As we all know that corona virus is announced as pandemic in the world by WHO. It is spreaded all over the world with few days of time. To control this spreading, every citizen maintains social distance and self preventive measures are the best strategies. As of now many researchers… Read full abstract & cite →

COVID-19 corona virus KAGGLE LSTM neural network machine learning
Abstract doi.org/10.14569/IJACSA.2022.0130521 PDF
22

A Proposed Fraud Detection Model based on e-Payments Attributes a Case Study in Egyptian e-Payment Gateway

Author 1: Mohamed Hassan Nasr Author 2: Mohamed Hassan Farrag Author 3: Mona Mohamed Nasr

As per Payfort's 2017 report, titled State of payments in the Arab world; Egypt had a 22% yearly increase in the overall volume of internet payments in 2016, which was assessed at $6.2 billion. e-Payments are the major point of life nowadays in Egypt and the whole world; with tens… Read full abstract & cite →

Data mining decision tree e-payments fraud detection e-payment gateways e-commerce
Abstract doi.org/10.14569/IJACSA.2022.0130522 PDF
23

Improved ISODATA Clustering Method with Parameter Estimation based on Genetic Algorithm

Author 1: Kohei Arai

Improved ISODATA clustering method with merge and split parameters as well as initial cluster center determination with GA: Genetic Algorithm is proposed. Although ISODATA method is well-known clustering method, there is a problem that the iteration and clustering result is strongly depending on the initial parameters, especially the threshold for… Read full abstract & cite →

ISODATA clustering nonlinear merge and split concaveness of probability density function: PDF remote sensing satellite imagery data clustering genetic algorithm: GA nonlinear optimization
Abstract doi.org/10.14569/IJACSA.2022.0130523 PDF
24

A Pre-trained Neural Network to Predict Alzheimer’s Disease at an Early Stage

Author 1: Ragavamsi Davuluri Author 2: Ragupathy Rengaswamy

Alzheimer’s disease (AD), which is a neuro associated disease, has become a common for past few years. In this competitive world, individual has to perform lot of multi tasking to prove their efficiency, in this process the neurons in the brain gets affected after a while i.e., “Alzheimer’s Disease”. Existing… Read full abstract & cite →

Mel-spectrum VGG-16 ADAM optimizer softmax flatten layers ReLU
Abstract doi.org/10.14569/IJACSA.2022.0130524 PDF
25

A k-interpolation Model Clustering Algorithm based on Kriging Method

Author 1: Guoyan Chen Author 2: Yaping Qian

In this work, a k-interpolation model clustering algorithm is proposed based on Kriging method, aim to partition data according to the relationship between the response of interest and input variables. Kriging method is used to describe the relationship between the response of interest and input variables. For each datum, the… Read full abstract & cite →

Data clustering Kriging method k-means algorithm interpolation model
Abstract doi.org/10.14569/IJACSA.2022.0130525 PDF
26

A Food Waste Mobile Gamified Application Design Model using UX Agile Approach in Malaysia

Author 1: Nooralisa Mohd Tuah Author 2: Siti Khadijah Abd. Ghani Author 3: Suryani Darham Author 4: Suaini Sura

Food waste is a significant worldwide issue in landfill management. Due to improper implementation, technology applications related to food waste collection and its management system are still lacking in practice. The available applications have yet to address the issue of food waste management. Constructing an interactive mobile application is necessary… Read full abstract & cite →

Avatar food waste disposal mobile apps gamification data visualization black soldier fly
Abstract doi.org/10.14569/IJACSA.2022.0130526 PDF
27

Entanglement Quantification and Classification: A Systematic Literature Review

Author 1: Amirul Asyraf Zhahir Author 2: Siti Munirah Mohd Author 3: Mohd Ilias M Shuhud Author 4: Bahari Idrus Author 5: Hishamuddin Zainuddin Author 6: Nurhidaya Mohamad Jan Author 7: Mohamed Ridza Wahiddin

Quantum entanglement is one of the essences of quantum mechanics and quantum information theory. It is a physical phenomenon in which entangled particles remain correlated with each other regardless of the distance between them. Quantum entanglement plays a significant role in areas such as quantum computing, quantum cryptography, and quantum… Read full abstract & cite →

Entanglement quantification quantum entanglement entanglement classification quantum measurement
Abstract doi.org/10.14569/IJACSA.2022.0130527 PDF
28

Effective Cross Synthesized Methodology for Movie Recommendation with Emotion Analysis through Ranking Score

Author 1: R Lavanya Author 2: B Bharathi

Providing accurate movie recommendations to a user with limited computing capability is a challenging task. A hybrid system offers a good trade-off between the accuracy and computations needed for such recommendations. Collaborative Filtering and Content-Based Filtering are two of the most widely employed methods of computing such recommendations. In this… Read full abstract & cite →

Recommendation systems collaborative filtering styling content based filtering implicit feedback hybrid recommendation sentiment analysis singular value decomposition
Abstract doi.org/10.14569/IJACSA.2022.0130528 PDF
29

Supervisory Control and Data Acquisition System for Machines used for Thermal Processing of Materials

Author 1: Diego Patino Author 2: Wilson Tafur Preciado Author 3: Albert Miyer Suarez Castrillon Author 4: Sir-Alexci Suarez Castrillon

A supervisory control and data acquisition (SCADA) system has been developed for three machines used for the thermal processing of materials: a hot wire cutter, an induction heater and a welding test stand. The cutter uses a transformer with adjustable voltage between 20 V and 32 V, and current of… Read full abstract & cite →

Automatic control of thermal processes programmable logic controllers monitoring and supervision in automatic control systems machine components Sensors and virtual instruments for control
Abstract doi.org/10.14569/IJACSA.2022.0130529 PDF
30

Modeling Wireless Mesh Networks for Load Management

Author 1: Soma Pandey Author 2: Govind R. Kadambi

Developing a simulation model for multi-hop multi-gateway wireless mesh networks (WMNs) is a challenging task. In this paper, a multi-hop multi-gateway WMN simulation model is developed in a step-by-step approach. This paper presents a MATLAB Simulink-based simulation model of Wireless Mesh Network (WMN) designed for easy optimization of layer 2… Read full abstract & cite →

MATLAB Simulink multi-hop wireless mesh network (WMN) gateway simulation model load management
Abstract doi.org/10.14569/IJACSA.2022.0130530 PDF
31

A Model for Classification and Diagnosis of Skin Disease using Machine Learning and Image Processing Techniques

Author 1: Shaden Abdulaziz AlDera Author 2: Mohamed Tahar Ben Othman

Skin diseases are a global health problem that is difficult to diagnose sometimes due to the disease’s complexity, and the time-consuming effort. In addition to the fact that skin diseases affect human health, it also affects the psycho-social life if not diagnosed and controlled early. The enhancement of images processing… Read full abstract & cite →

Skin disease image processing classification machine learning diagnosis SVM RF K-NN acne cherry angioma melanoma psoriasis
Abstract doi.org/10.14569/IJACSA.2022.0130531 PDF
32

A Hybrid Material Generation Algorithm with Probabilistic Neural Networks for Solving Classification Problems

Author 1: Mohammad Wedyan Author 2: Omar Alshaweesh Author 3: Enas Ramadan Author 4: Ryan Alturki Author 5: Foziah Gazzawe Author 6: Mohammed J. Alghamdi

Classification is based on machine learning, in which each element in a set of data is classified into one of a predetermined set of groups. In data mining, an artificial neural network (ANN) is the most significant methodology because of the exact results obtained through this algorithm and applied in… Read full abstract & cite →

Artificial neural network (ANN) material generation algorithm (MGA) classification probabilistic neural networks (PNN)
Abstract doi.org/10.14569/IJACSA.2022.0130532 PDF
33

RETRACTED: IoT based Portable Weather Station for Irrigation Management using Real-Time Parameters

Author 1: Geeta Ambildhuke Author 2: Barnali Gupta Banik

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

Deep learning edge analytics internet of things machine learning irrigation management precision agriculture rainfall prediction
Abstract doi.org/10.14569/IJACSA.2022.0130533 PDF
34

E-Evaluation based on CSE-UCLA Model Refers to Glickman Pattern for Evaluating the Leadership Training Program

Author 1: Ketut Rusmulyani Author 2: I Made Yudana Author 3: I Nyoman Natajaya Author 4: Dewa Gede Hendra Divayana

This study aimed to describe the implementation of the level III leadership training program at the human resource development agency. The evaluation process used the CSE-UCLA model that was divided into: (1) components of system assessment, (2) program planning, (3) program implementation, (4) program improvement, and (5) program certification. This… Read full abstract & cite →

E-evaluation leadership training evaluation of educational programs CSE-UCLA human resource development agency
Abstract doi.org/10.14569/IJACSA.2022.0130534 PDF
35

Rule-based Text Extraction for Multimodal Knowledge Graph

Author 1: Idza Aisara Norabid Author 2: Fariza Fauzi

Textual information is widely integrated in visual tasks such as object/scene detection and image annotation. However, the textual information is not fully exploited, overlooking the wide background knowledge available for Web images. This work proposes a multimodal knowledge graph (KG) to represent the knowledge extracted from unstructured Web image surrounding… Read full abstract & cite →

Relation extraction knowledge graph multimodal knowledge graph dependency relations object/scene detection
Abstract doi.org/10.14569/IJACSA.2022.0130535 PDF
36

Soil Color as a Measurement for Estimation of Fertility using Deep Learning Techniques

Author 1: N Lakshmi Kalyani Author 2: Kolla Bhanu Prakash

Soil Behavior helps the farmer predict performance for growing crops, nutrient movement, and determine soil limitations. The traditional methods for soil classification in the laboratory require time and human resources and are expensive. This analysis examines the possibility of image recognition by artificial intelligence, with a machine learning technique called… Read full abstract & cite →

Artificial neural networks deep learning soil classification soil nutrients data augmentation transform learning
Abstract doi.org/10.14569/IJACSA.2022.0130536 PDF
37

A Survey on Genomic Dataset for Predicting the DNA Abnormalities Using Ml

Author 1: Siripuri Divya Author 2: Y. Bhavani Author 3: Thota Mahesh Kumar

Genomic data is used in bioinformatics for collecting, storing and processing the genomes of living things. In order to process the genetic information, machine learning algorithms plays a vital role in building a computational model by using the statistical theory. This paper helps the researchers, who are doing research with… Read full abstract & cite →

Genomic data deoxyribonucleic acid (DNA) machine learning algorithms single nucleotide polymorphism (SNPs)
Abstract doi.org/10.14569/IJACSA.2022.0130537 PDF
38

An Architecture of Domain Independent and Extensible Intelligent Tutoring System based on Concept Dependencies and Subject Paths

Author 1: Sanjay Singh Author 2: Vikram Singh

Intelligent Tutoring Systems (ITS) seek to provide personalized tutoring to learners, but are often domain specific, and lack extensibility. When featuring extensibility and domain independence, it is a challenge to provide appropriate level of personalization for every learner. In this paper, an architecture of a system that features domain-independence and… Read full abstract & cite →

Personalized tutoring intelligent tutoring system adaptive learning
Abstract doi.org/10.14569/IJACSA.2022.0130538 PDF
39

Secure Routing Protocol for Low Power and Lossy Networks Against Rank Attack: A Systematic Review

Author 1: Laila Al-Qaisi Author 2: Suhaidi Hassan Author 3: Nur Haryani Binti Zakaria

The Internet of Things (IoT) is witnessing massive widespread along in almost all aspects of life. IoT is defined as a network of interconnected devices applied in various environments including smart cities, transportation, health, industries, military, and agriculture. Its main purpose is to simplify the exchange and collect data from… Read full abstract & cite →

Wireless sensor networks internet of things (IoT) routing security RPL objective function
Abstract doi.org/10.14569/IJACSA.2022.0130539 PDF
40

Validation of Evacuation Assessment Algorithm in Finding the Best Indoor Evacuation Model

Author 1: Amir Haikal Abdul Halim Author 2: Khyrina Airin Fariza Abu Samah

This paper proposed an indoor evacuation assessment algorithm. Indoor evacuation wayfinding to the nearest exit becomes more difficult due to the intricacy of the inside layout and the involvement of numerous people. Thus, evacuation models were developed by researchers to assist evacuees in safely exiting a building. Unfortunately, building owners… Read full abstract & cite →

Assessment algorithm evacuation model indoor evacuation k-mean validation
Abstract doi.org/10.14569/IJACSA.2022.0130540 PDF
41

Effective Prediction of Software Defects using Random-tree Entropy based Feature Selection Framework

Author 1: Abdulaziz Alhumam

Software systems have grown in size and complexity. These characteristics increase the difficulty of preventing software errors. As a result, forecasting the frequency of software module failures is critical to a developer’s efficiency. Many methods for defect detection and correcting problems exist. Hence, Machine Learning (ML) classification performance has to… Read full abstract & cite →

Software defect prediction machine learning classification feature entropy
Abstract doi.org/10.14569/IJACSA.2022.0130541 PDF
42

Parameter Optimization of Nonlinear Piezoelectric Energy Harvesting System for IoT Applications

Author 1: Li Wah Thong Author 2: Swee Leong Kok Author 3: Roszaidi Ramlan

The vibrational energy harvesting has been essentially applied to power up low-power electronics, microsystems, and wireless sensors especially in the areas of Internet of Things (IoT) devices. This paper investigates the prospect of incorporating nonlinearity in a unimorph piezoelectric cantilever beam with a tip magnet placed under a harmonic base… Read full abstract & cite →

Energy harvesting nonlinear dynamics piezoelectric vibration broadband frequency
Abstract doi.org/10.14569/IJACSA.2022.0130542 PDF
43

Smart Blended Learning Framework based on Artificial Intelligence using MobileNet Single Shot Detector and Centroid Tracking Algorithm

Author 1: Abdul Wahid Author 2: Muhammad Fajar B Author 3: Jumadi M. Parenreng Author 4: Seny Luhriyani Author 5: Puput Dani Prasetyo Adi

The Covid-19 pandemic has affected all aspects of human life and has even forced humans to shift their life habits, including in the world of education. The learning model must shift from the traditional face-to-face pattern to a modern face-to-face pattern or an asynchronous pattern with information technology-based applications. Blended… Read full abstract & cite →

Smart blended learning mobilenet single shot detector convolutional neural network centroid tracking
Abstract doi.org/10.14569/IJACSA.2022.0130543 PDF
44

Smart Agriculture Monitoring System using Clean Energy

Author 1: Karim ABOUELMEHDI Author 2: Kamal ELHATTAB Author 3: Abdelmajid EL MOUTAOUAKKIL

Internet of Things (IoT) technology makes all areas of human life more comfortable. The development of farms through the use of IoT positively influences agricultural production not only by strengthening it, but also by making it more profitable and reducing the cost of production. The goal of this paper is… Read full abstract & cite →

IoT smart agriculture new model solar panel esp32 mobile app
Abstract doi.org/10.14569/IJACSA.2022.0130544 PDF
45

RENTAKA: A Novel Machine Learning Framework for Crypto-Ransomware Pre-encryption Detection

Author 1: Wira Z. A. Zakaria Author 2: Mohd Faizal Abdollah Author 3: Othman Mohd Author 4: S. M. Warusia Mohamed S. M. M Yassin Author 5: Aswami Ariffin

Crypto ransomware is malware that locks its victim’s file for ransom using an encryption algorithm. Its popularity has risen at an alarming rate among the cyber community due to several successful worldwide attacks. The encryption employed had caused irreversible damage to the victim’s digital files, even when the victim chose… Read full abstract & cite →

Ransomware crypto-ransomware ransomware early detection pre-encryption pre-attack ransomware lifecycle
Abstract doi.org/10.14569/IJACSA.2022.0130545 PDF
46

Non-contact Facial based Vital Sign Estimation using Convolutional Neural Network Approach

Author 1: Nor Surayahani Suriani Author 2: Nur Syahida Shahdan Author 3: Nan Md. Sahar Author 4: Nik Shahidah Afifi Md. Taujuddin

A rapid heart rate may indicate early diagnosis of heart disease, which could result in abrupt mortality if a heart attack occurs while exercising. A fatal incident is usually precipitated by a heart attack while strenuously exercising. This paper proposed invasive health monitoring through remote photoplethysmography (rPPG) analysis captured by… Read full abstract & cite →

rPPG remote heart rate estimation respiration rate fitness
Abstract doi.org/10.14569/IJACSA.2022.0130546 PDF
47

A Survey on MCT vs. DCT: Who is the Winner in COVID-19

Author 1: Omar Khattab

Coronavirus disease (COVID-19) is a contagious disease appeared in late 2019 and caused by a virus called SARS-CoV-2. It is a pandemic spreading across the whole world and impacts millions of people and sadly causes death. There are two main Contact Tracing Methods (CTMs) to limit and slow down any… Read full abstract & cite →

COVID-19 coronavirus disease manual contact tracing digital contact tracing
Abstract doi.org/10.14569/IJACSA.2022.0130547 PDF
48

Social Customer Relationship Management as a Communication Tool for Academic Communities in Higher Education Institutions through Social Media

Author 1: Ali Ibrahim Author 2: Ermatita Author 3: Saparudin

The interaction between academic community members in universities is fundamental in facilitating the learning management process and workflow, thereby necessitating a communication tool system that is unrestricted by time and place. Social customer relationship management as a communication tool through social media is also essential. Therefore, this research employed a… Read full abstract & cite →

Social customer relationship management communication tools social media academic client and communities
Abstract doi.org/10.14569/IJACSA.2022.0130548 PDF
49

Application of the Clahe Method Contrast Enhancement of X-Ray Images

Author 1: Omarova G. S Author 2: Starovoitov V. V Author 3: Aitkozha Zh. Zh Author 4: Bekbolatov S Author 5: Ostayeva A. B Author 6: Nuridinov O

Due to the nonlinearity of the luminance function produced by many medical recording devices, the quality of medical images deteriorates, which creates problems in the visual research work of physicians. X-rays can be taken as an example. This article examines methods of improving the contrast of graphic images methods of… Read full abstract & cite →

Digital X-ray image image quality assessment image enhancement contrast enhancement luminance transformation adaptive image histogram equalization
Abstract doi.org/10.14569/IJACSA.2022.0130549 PDF
50

Efficient Segment-based Image Ciphering using Discretized Chaotic Standard Map with ECB, OFB and CBC

Author 1: Mohammed A. AlZain

This paper presents a block-based ciphering scheme that employs the 2D discretized chaotic Standard map (CSM) in three different operation modes. The employed operation modes include the electronic codebook (ECB), the output feedback (OFB) and the cipher block chaining (CBC) modes. In the presented 2D discretized CSM with the OFB… Read full abstract & cite →

Cryptography 2D discretized CSM ECB OFB CBC
Abstract doi.org/10.14569/IJACSA.2022.0130550 PDF
51

Flower Pollination Algorithm for Feature Selection in Tweets Sentiment Analysis

Author 1: Muhammad Iqbal Abu Latiffi Author 2: Mohd Ridzwan Yaakub Author 3: Ibrahim Said Ahmad

Text-based social media platforms have developed into important components for communication between customers and businesses. Users can easily state their thoughts and evaluations about products or services on social media. Machine learning algorithms have been hailed as one of the most efficient approaches for sentiment analysis in recent years. However… Read full abstract & cite →

Sentiment analysis metaheuristic algorithm flower pollination algorithm machine learning feature selection
Abstract doi.org/10.14569/IJACSA.2022.0130551 PDF
52

Re-CRUD Code Automation Framework Evaluation using DESMET Feature Analysis

Author 1: Asyraf Wahi Anuar Author 2: Nazri Kama Author 3: Azri Azmi Author 4: Hazlifah Mohd Rusli Author 5: Yazriwati Yahya

A unified view of web application design and development is crucial for dealing with complexity. However, the literature proposes many denominations, depending on the development methodology, frameworks or tools. This multitude of Create, Read, Update and Delete (CRUD) approaches does not allow a holistic view of the web application. Besides… Read full abstract & cite →

Re-CRUD web application DESMET feature analysis electronic records features
Abstract doi.org/10.14569/IJACSA.2022.0130552 PDF
53

A Novel Readability Complexity Score for Gujarati Idiomatic Text

Author 1: Jatin C. Modh Author 2: Jatinderkumar R. Saini Author 3: Ketan Kotecha

Gujarati language is used for conversation by more than 55 million people worldwide and it is more than 1000 years old language. It is the chief language of the Indian state of Gujarat. There are many dialects of Gujarati like Standard Gujarati, Amdawadi Gujarati, Kathiawadi Gujarati, Kutchi Gujarati etc. The… Read full abstract & cite →

Complexity Gujarati idiomatic text natural language processing (NLP) readability
Abstract doi.org/10.14569/IJACSA.2022.0130553 PDF
54

Importance of Memory Management Layer in Big Data Architecture

Author 1: Maha Dessokey Author 2: Sherif M. Saif Author 3: Hesham Eldeeb Author 4: Sameh Salem Author 5: Elsayed Saad

The generation of daily massive amounts of heterogeneous data from a variety of sources presents a challenge in terms of storage and analysis capabilities and brings new problems into high-performance computing clusters. To better utilize this huge and heterogeneous data, the continuous development of advanced Big Data platforms and Big… Read full abstract & cite →

Apache Spark Big Data data analytics algorithms memory management
Abstract doi.org/10.14569/IJACSA.2022.0130554 PDF
55

Structural Equation Modelling for Validating Disruptive Factors in Livestock Supply Chain

Author 1: Nur Amlya Abd Majid Author 2: Noraidah Sahari Author 3: Nur Fazidah Elias Author 4: Hazura Mohamed Author 5: Latifah Abd Latib Author 6: Khairul Firdaus Ne’matullah

The purpose of this paper is to deploy a structural equation modeling approach through the Partial Small Square technique to validate the disruptions factors that affect livestock supply chain performance. The disruption prediction factors were obtained from the analysis of literature studies and data from the Department of Veterinary Services… Read full abstract & cite →

Supply chain management disruption livestock structural equation modelling
Abstract doi.org/10.14569/IJACSA.2022.0130555 PDF
56

IoT Enabled Smart Parking System for Improvising the Prediction Availability of the Parking Space

Author 1: Anchal Dahiya Author 2: Pooja Mittal

Smart cities are a result of persistent technological advancements aimed at improving the quality of life for their residents. IoT-enabled smart parking is one of the foundations of smart transportation which seeks to be versatile, long-lasting, and integrated into a Smart City. One of the studies shows that the drivers… Read full abstract & cite →

IoT Data mining sensors ensemble decision tree bagging technique boosting technique
Abstract doi.org/10.14569/IJACSA.2022.0130556 PDF
57

An Optimized Kernel MSVM Machine Learning-based Model for Churn Analysis

Author 1: Pankaj Hooda Author 2: Pooja Mittal

Customer churn is considered as a significant issue in any industry due to various services, clients, and commodities. A massive amount of data is being created from e-commerce services and tools. Analytical data and machine learning-based approaches have been implemented and utilized for CA (churn analysis) to design a plan… Read full abstract & cite →

CA (Churn Analysis) CC (Customer Churn) OKMSVM (Optimized Kernel-MultiClass Support Vector Machine) Model KPCA (Kernel Principle Component Analysis) A.L.O. (Ant Lion Optimization) method
Abstract doi.org/10.14569/IJACSA.2022.0130557 PDF
58

Study on Feature Engineering and Ensemble Learning for Student Academic Performance Prediction

Author 1: Du Xiaoming Author 2: Chen Ying Author 3: Zhang Xiaofang Author 4: Guo Yu

Student academic performance prediction is one of the important works in the teaching management, which can realize accurate management, scientific teaching and personalized learning by mining important features affecting the academic performance and accurately predicting academic. Due to the subjectivity of feature extraction and the randomness of hyperparameters, the accuracy… Read full abstract & cite →

Academic performance prediction feature engineering ensemble learning random forest XGBoost
Abstract doi.org/10.14569/IJACSA.2022.0130558 PDF
59

Development of Hausa Acoustic Model for Speech Recognition

Author 1: Umar Adam Ibrahim Author 2: Moussa Mahamat Boukar Author 3: Muhammad Aliyu Suleiman

Acoustic modeling is essential for enhancing the accuracy of voice recognition software. To build an automatic speech system and application for any language, building an acoustic model is essential. In this regard, this research is concerned with the development of the Hausa acoustic model for automatic speech recognition. The goal… Read full abstract & cite →

Acoustic model Hausa Phonemes word level CNN
Abstract doi.org/10.14569/IJACSA.2022.0130559 PDF
60

New Method for 4D Reconstruction of Medical Images

Author 1: Lamyae MIARA Author 2: Said BENOMAR ELMDEGHRI Author 3: Mohammed Oucamah CHERKAOUI MALKI

This paper proposes a new optimized method that is fast in rendering for 4D reconstruction from 2D medical images of human anatomy permitting their real–time refined visualization. This method uses the 3D reconstruction algorithm based on contour matching of medical image sequences and on the tessellation of recent GPU. In… Read full abstract & cite →

2D medical image 4D reconstruction contour matching recent GPU 3D mesh
Abstract doi.org/10.14569/IJACSA.2022.0130560 PDF
61

An Adaptive Approach for Preserving Privacy in Context Aware Applications for Smartphones in Cloud Computing Platform

Author 1: H. Manoj T. Gadiyar Author 2: Thyagaraju G. S Author 3: R. H. Goudar

With the widespread use of mobile phones and smartphone applications, protecting one’s privacy has become a major concern. Because active defensive strategies and temporal connections between situations relevant to users are not taken into account, present privacy preservation systems for cell phones are often ineffective. This work defines secrecy maintenance… Read full abstract & cite →

Context-aware privacy active defence privacy protection and mobile phones
Abstract doi.org/10.14569/IJACSA.2022.0130561 PDF
62

Digital Learning Tools for Security Inductions in Mining Interns: A PLS-SEM Analysis

Author 1: Jose Julian Rodriguez-Delgado Author 2: Patricia Lopez-Casaperalta Author 3: Mario Gustavo Berrios-Espezua Author 4: Alejandro Marcelo Acosta-Quelopana Author 5: Jose Sulla-Torres

New pedagogical tools have been introduced in educational contexts in recent years. They have been shown to impact learning compared to conventional education strategies positively. Before implementing new learning tools, a study of technological acceptance is needed for its application to succeed. For this reason, the objective of this research… Read full abstract & cite →

Technology acceptance model 3 PLS-SEM SmartPLS mining company safety safety inductions safety talk learning education teaching technology learning tools
Abstract doi.org/10.14569/IJACSA.2022.0130562 PDF
63

Enhanced Symbol Recognition based on Advanced Data Augmentation for Engineering Diagrams

Author 1: Ong Kai Bin Author 2: Yew Kwang Hooi Author 3: Said Jadid Abdul Kadir Author 4: Haruhiro Fujita Author 5: Luqman Hakim Rosli

Symbol recognition has generated research interest for image analytics of engineering diagrams. Techniques including structural, syntactic, statistical, Convolution Neural Network (CNN) were studied to identify gaps of research. Despite popularity, CNN requires huge learning dataset, which often involves costly procurement. To address this, combination between CycleGAN and CNN is proposed… Read full abstract & cite →

Symbol recognition symbol spotting engineering drawing convolution neural network (CNN) CycleGAN piping and instrument diagram (P&ID)
Abstract doi.org/10.14569/IJACSA.2022.0130563 PDF
64

A Graph-oriented Framework for Online Analytical Processing

Author 1: Abdelhak KHALIL Author 2: Mustapha BELAISSAOUI

OLAP (Online Analytical Processing) is a tried-and-tested technology and a core concept in Business Intelligence. With data flowing from different and countless sources, exploring data in order to deliver actionable insights has become a daunting task with current OLAP tools despite the cycle of improvement that has gone through it… Read full abstract & cite →

Graph OLAP data warehousing graph databases NoSQL data cube decision support system
Abstract doi.org/10.14569/IJACSA.2022.0130564 PDF
65

Sentiment Analysis to Explore User Perception of Teleworking in Saudi Arabia

Author 1: Malak Nazal Alotaibi Author 2: Zahyah H. Alharbi

Due to the emergence of the COVID-19 pandemic in 2019, many public and private organizations from different sectors in Saudi Arabia were forced to enforce teleworking as the main work arrangement. This paper seeks to understand the experience and attitude of the public toward remote work by analyzing Twitter data… Read full abstract & cite →

Mazajak sentiment analysis thematic analysis telework remote work
Abstract doi.org/10.14569/IJACSA.2022.0130565 PDF
66

Framework for Development of 3D Temple Objects based on Photogrammetry Method

Author 1: Herman Tolle Author 2: Ratih Kartika Dewi Author 3: Komang Candra Brata Author 4: Benyamin Perdamean

Indonesia has a lot of cultural buildings that need to capture as digital objects for other purposes, especially for digital preservation. One of the methods of making 3D objects is using the photogrammetry method. The photogrammetry method makes 3D objects using many photos captured by the camera that will be… Read full abstract & cite →

Photogrammetry historical relic 3D objects digital preservation virtual reality
Abstract doi.org/10.14569/IJACSA.2022.0130566 PDF
67

Dual-fast Greedy Heuristic Algorithm for Green ICT

Author 1: Inas Abuqaddom

The Internet power consumption represents 3.6% to 6.2% of the annual worldwide power consumption and is continually expanding. The awareness of this problem has increased, hence, a few strategies are being put into place to decrease the power consumption of the Information Communication Technology (ICT) sectors, in general. Backbone networks… Read full abstract & cite →

Abilene backbone backbone network bundled link capacity Internet power consumption power savings
Abstract doi.org/10.14569/IJACSA.2022.0130567 PDF
68

Parallel Improved Genetic Algorithm for the Quadratic Assignment Problem

Author 1: Huda Alfaifi Author 2: Yassine Daadaa

Quadratic Assignment Problem is one of the most common combinatorial optimization problems that represents many real-life problems. Many techniques are applied to solve Quadratic Assignment Problem, these include exact, heuristic, and metaheuristic methods. A Genetic Algorithm is a powerful heuristic approach used to find optimal solutions or near-to-optimal for Quadratic… Read full abstract & cite →

Component Quadratic Assignment Problem (QAP) Genetic Algorithm (GA) Parallel Genetic Algorithm (PGA) Sequential Genetic Algorithm (SGA) Central Processing Unit (CPU) Compute Unified Device Architecture (CUDA) Quadratic Assignment Problem Library (QAPLIB) Best Known Solution (BKS) Average Percent Deviation (APD)
Abstract doi.org/10.14569/IJACSA.2022.0130568 PDF
69

Modeling for Car Quality Complaint Classification based on Machine Learning

Author 1: Chen Xiao Yu Author 2: Hou Xia Author 3: Zhang Xiao Min Author 4: Song Ying

Cars play an important role in many aspects of people's social life, and the effective handling of car quality complaints is of great significance to the proper running of cars and the reputation maintenance of car brands; effective classification of car quality complaint texts is the basis of the efficient… Read full abstract & cite →

Car quality complaint natural language text classification modeling machine learning
Abstract doi.org/10.14569/IJACSA.2022.0130569 PDF
70

Identifying Influential Nodes with Centrality Indices Combinations using Symbolic Regressions

Author 1: Mohd Fariduddin Mukhtar Author 2: Zuraida Abal Abas Author 3: Amir Hamzah Abdul Rasib Author 4: Siti Haryanti Hairol Anuar Author 5: Nurul Hafizah Mohd Zaki Author 6: Ahmad Fadzli Nizam Abdul Rahman Author 7: Zaheera Zainal Abidin Author 8: Abdul Samad Shibghatullah

Numerous strategies for determining the most influential nodes in a connected network have been developed. The use of centrality indices in a network allows the identification of the most important nodes in the network. Specific indices, on the other hand, cannot search for a network's entire meaning because they are… Read full abstract & cite →

Centrality indices combination symbolic regressions influential nodes
Abstract doi.org/10.14569/IJACSA.2022.0130570 PDF
71

Improving Computational Thinking in Nursing Students through Learning Computer Programming

Author 1: Leticia Laura-Ochoa Author 2: Norka Bedregal-Alpaca Author 3: Elizabeth Vidal

Computational thinking is a fundamental skill for problem-solving, it uses computational concepts and other types of thinking such as algorithmic. The experience of improving computational thinking in nursing students using block-based programming environments such as Code.org, Lightbot, and the Python textual programming language is described. The results obtained are analyzed… Read full abstract & cite →

Computational thinking computational thinking assessment computational thinking test programming programming environments
Abstract doi.org/10.14569/IJACSA.2022.0130571 PDF
72

Improving Social Engineering Awareness, Training and Education (SEATE) using a Behavioral Change Model

Author 1: Azaabi Cletus Author 2: Benjamin Weyory Author 3: Alex Opoku

Social Engineering (SE) Awareness, Training, and Education (SEATE) is one of the recommended defenses against SE attacks among users of Information Systems. However, many of these SEATE programs fails to achieve the desired impact leading to exposures. This study sought to explore SEATE programs to identify gaps/challenges and propose relevant… Read full abstract & cite →

Social engineering user training user awareness user education ATAC model
Abstract doi.org/10.14569/IJACSA.2022.0130572 PDF
73

Evaluating Learning Management System based on PACMAD Usability Model: Brighten Mobile Application

Author 1: Masyura Ahmad Faudzi Author 2: Zaihisma Che Cob Author 3: Ridha Omar Author 4: Sharul Azim Sharudin

During the pre-COVID-19 pandemic, mobile learning is just an optional or a supplementary module in learning process. However, when the pandemic hit the world in the middle of 2020, a large number of students were forced to move from traditional learning process to online learning. This has become a critical… Read full abstract & cite →

Mobile learning usability PACMAD learning management system Moodle
Abstract doi.org/10.14569/IJACSA.2022.0130573 PDF
74

Voice Biometrics for Indonesian Language Users using Algorithm of Deep Learning CNN Residual and Hybrid of DWT-MFCC Extraction Features

Author 1: Haris Isyanto Author 2: Ajib Setyo Arifin Author 3: Muhammad Suryanegara

This research develops a Voice Biometrics model for the Indonesian language users by using deep learning algorithm of CNN Residual and Hybrid of DWT-MFCC Feature Extraction. The voice dataset of Indonesian speakers were created with a duration of 5, 10, 15, 20, and 25 minutes. The testing phase of speaker… Read full abstract & cite →

Voice biometric deep learning CNN DWT-MFCC security
Abstract doi.org/10.14569/IJACSA.2022.0130574 PDF
75

Hybrid Deformable Convolutional with Recurrent Neural Network for Optimal Traffic Congestion Prediction: A Fuzzy Logic Congestion Index System

Author 1: Sara Berrouk Author 2: Abdelaziz El Fazziki Author 3: Mohammed Sadgal

In the field of Intelligent Transportation Systems (ITs), traffic congestion is considered as an important problem. Traffic blockage usually affects the quality of time, travel time, economy of the country, and transportability of people. The information of traffic congestion is collected and analyzed in ITs, and the methods to prevent… Read full abstract & cite →

Optimal traffic congestion prediction deformable convolutional network recurrent neural network Hybrid Jaya Harris Hawk Optimization Algorithm congestion index computation fuzzy interference system
Abstract doi.org/10.14569/IJACSA.2022.0130575 PDF
76

Impact of the Pandemic on the Development and Regulation of Electronic Commerce in Russia

Author 1: Svetlana Panasenko Author 2: Maisa Seifullaeva Author 3: Ibragim Ramazanov Author 4: Elena Mayorova Author 5: Alexander Nikishin Author 6: A. M. Vovk

The article deals with topical issues of legal support for the development of electronic commerce in the Russian Federation. The analysis of the main categories of e-commerce has been carried out, the content of which is standardized in domestic regulatory legal acts, the following is among them: elements of the… Read full abstract & cite →

Legal support strategy development electronic commerce Russian federation digitalization informatization online stores delivery channels digital product
Abstract doi.org/10.14569/IJACSA.2022.0130576 PDF
77

Application for a Waste Management via the QR-Code System

Author 1: Pichit Wandee Author 2: Zakon Bussabong Author 3: Seksit Duangkum

This research aims in developing an application for the waste management via the QR code system: 1) to study the quality of the application and 2) to study the satisfaction of users of the application by using the system development life cycle (SDLC) principle. There were 388 people of sample… Read full abstract & cite →

Application QR–Code system waste management SDLC community information
Abstract doi.org/10.14569/IJACSA.2022.0130577 PDF
78

Empirical Study of a Spatial Analysis for Prone Road Traffic Accident Classification based on MCDM Method

Author 1: Anik Vega Vitianingsih Author 2: Zahriah Othman Author 3: Safiza Suhana Kamal Baharin Author 4: Aji Suraji

Spatial analysis techniques are widely used as an effective approach for prone road traffic accident classification. This paper will present the results of empirical behavioral testing on the spatial analysis for prone road traffic accident classification using the Multicriteria Decision Making (MCDM) method. The performance of MCDM is compared on… Read full abstract & cite →

Spatial Analysis GIS prone road traffic accident MCDM Model WSM WP SAW WPM MAUT TOPSIS AHP
Abstract doi.org/10.14569/IJACSA.2022.0130578 PDF
79

Application of the Fuzzy Delphi Method to Identify and Prioritize the Social-Health Family Disintegration Indicators in Yemen

Author 1: Abed Saif Ahmed Alghawli Author 2: Abdualmajed A. Al-khulaidi Author 3: Adel A. Nasser Author 4: Nesmah A. AL-Khulaidi Author 5: Faisal A. Abass

Constantly increasing political events and socially related changes have led governments worldwide to adopt strategies to reduce their negative effects on the cohesion of societies, which requires developing assessment frameworks that include realistic, measurable, and useful indicators for analyzing the family disintegration causes, taking into consideration the circumstances surrounding the… Read full abstract & cite →

Family disintegration child marriage early marriage Fuzzy Delphi Method multi-criteria decision making Yemen
Abstract doi.org/10.14569/IJACSA.2022.0130579 PDF
80

A Penetration Testing on Malaysia Popular e-Wallets and m-Banking Apps

Author 1: Md Arif Hassan Author 2: Zarina Shukur Author 3: Masnizah Mohd

e-Wallets and m-banking apps became more and more popular in the developed world, approaching a point of tipping. This can be due to the global use of big and small merchants of paying equipment and the ubiquity of e-wallet and m-banking apps adoption. Many consumers are using e-wallets and m-banking… Read full abstract & cite →

Electronic payments e-wallet m-banking android static analysis security analysis
Abstract doi.org/10.14569/IJACSA.2022.0130580 PDF
81

Demand Forecasting Model using Deep Learning Methods for Supply Chain Management 4.0

Author 1: Loubna Terrada Author 2: Mohamed El Khaili Author 3: Hassan Ouajji

In the context of Supply Chain Management 4.0, costumers’ demand forecasting has a crucial role within an industry in order to maintain the balance between the demand and supply, thus improve the decision making. Throughout the Supply Chain (SC), a large amount of data is generated. Artificial Intelligence (AI) can… Read full abstract & cite →

Supply chain management 4.0 demand forecasting decision making artificial intelligence deep learning Auto-Regressive Integrated Moving Average (ARIMA) Long Short-Term Memory (LSTM)
Abstract doi.org/10.14569/IJACSA.2022.0130581 PDF
82

Improved Deep Learning Performance for Real-Time Traffic Sign Detection and Recognition Applicable to Intelligent Transportation Systems

Author 1: Anass BARODI Author 2: Abderrahim Bajit Author 3: Abdelkarim ZEMMOURI Author 4: Mohammed Benbrahim Author 5: Ahmed Tamtaoui

In this paper, we improve the performance of Deep Learning (DL) by creating a robust and efficient Convolutional Neural Network (CNN) model. This CNN model will be subjected to detecting and recognizing traffic signs in real-time. We apply several techniques; the first is pre-processing, which includes conversion of color space… Read full abstract & cite →

Deep learning convolutional neural network computer vision artificial intelligence traffic sign detection traffic sign recognition intelligent transportation systems
Abstract doi.org/10.14569/IJACSA.2022.0130582 PDF
83

Research on Students' Course Selection Preference based on Collaborative Filtering Algorithm

Author 1: Mustafa Man Author 2: Jianhui Xu Author 3: Ily Amalina Ahmad Sabri Author 4: Jiaxin Li

Due to the events caused by the COVID-19 pandemic, the education industry is no longer limited to offline, and online classroom education is widely used. The rapid development of online education provides users with more abundant educational course resources and flexible learning methods. Various online education platforms are also constantly… Read full abstract & cite →

Collaborative filtering course selection system recommendation scoring matrix weighting
Abstract doi.org/10.14569/IJACSA.2022.0130583 PDF
84

Intelligent Interfaces for Assisting Blind People using Object Recognition Methods

Author 1: Jamil Abedalrahim Jamil Alsayaydeh Author 2: Irianto Author 3: Maslan Zainon Author 4: Hasvinii Baskaran Author 5: Safarudin Gazali Herawan

Object recognition method is a computer vision technique for identifying objects in images. The main purpose of this system build is to put an end to blindness by constructing automated hardware with Raspberry Pi that enables a visually impaired person to detect objects or persons in front of them instantly… Read full abstract & cite →

Object recognition method computer vision blind people image processing Raspberry Pi Pi camera smart assistance portable device voice narration visualise
Abstract doi.org/10.14569/IJACSA.2022.0130584 PDF
85

Application of Random Forest Regression with Hyper-parameters Tuning to Estimate Reference Evapotranspiration

Author 1: Satendra Kumar Jain Author 2: Anil Kumar Gupta

Estimation of reference evapotranspiration (ETo) is a complex and non-linear problem that is used for the quantification of crop water requirements. In this study, random forest regression based models are developed to predict the ETo of Bhopal city, Madhya Pradesh, India. The meteorological data is collected from IMD, Pune for… Read full abstract & cite →

Reference evapotranspiration random forest regression hyper-parameters grid search random search optimization
Abstract doi.org/10.14569/IJACSA.2022.0130585 PDF
86

Abnormal Event Detection using Additive Summarization Model for Intelligent Transportation Systems

Author 1: G. Balamurugan Author 2: J. Jayabharathy

Video surveillance is used for capturing the abnormal events on roadsides that are caused due to improper driving, accidents, and hindrances resulting in transportation lags and life-critical issues. It is essential to highlight the accident keyframes in videos to achieve intelligent video surveillance. Video summarization plays a vital role in… Read full abstract & cite →

Event detection gated recurrent unit summarization intelligent transportation system
Abstract doi.org/10.14569/IJACSA.2022.0130586 PDF
87

Relational Deep Learning Detection with Multi-Sequence Representation for Insider Threats

Author 1: Abdullah Alshehri

Insider threats are typically more challenging to be detected since security protocols struggle to recognize the anomaly behavior of privileged users in the network. Intuitively, an insider threat detection model depends on analyzing the audit data, representing trusted users’ activity streams, on recognizing malicious behaviors. However, the audit data is… Read full abstract & cite →

Insider threats machine learning recurrent neural network user behavior analytic
Abstract doi.org/10.14569/IJACSA.2022.0130587 PDF
88

An Improved Label Initialization based Label Propagation Method for Detecting Graph Clusters in Complex Networks

Author 1: Jyothimon Chandran Author 2: V Madhu Viswanatham

Community structure is one of the fundamental characteristics of complex networks. Detection of community structure can provide insight into the structural and functional or-ganization that helps to understand various dynamical processes such as epidemics and information spreading. Label propagation algorithm (LPA) is a well-known method for community struc-ture identification due… Read full abstract & cite →

Social networks community detection graph clus-tering edge clustering coefficient label initialization triangle count
Abstract doi.org/10.14569/IJACSA.2022.0130588 PDF
89

Natural Language Processing for the Analysis Sentiment using a LSTM Model

Author 1: Achraf BERRAJAA

Over the past decade, social networks have revo-lutionised the communication between organisations and their customers, and the data provided by customers on social net-work platforms is having an increasingly important impact on how organisations collect and analyse this data to make better decisions. We have prepared a new dataset that… Read full abstract & cite →

Artificial intelligence NLP RNN LSTM customer relationship management
Abstract doi.org/10.14569/IJACSA.2022.0130589 PDF
90

Alarm System using Image Processing to Prevent a Patient with Nasogastric Tube Feeding from Removing Tube

Author 1: Amonrat Prasitsupparote Author 2: Pakorn Pasitsuparoad

A removal nasogastric (NG) tube of a patient is a critical problem especially the patients resist swallowing. To solve this problem, the conventional approach using a personal caretaker is a time-consuming and intense focus on the patient’s hands. However, visual technology can decrease the intense focus of a personal caretaker… Read full abstract & cite →

NG tube image processing fiducial markers face detection Aruco
Abstract doi.org/10.14569/IJACSA.2022.0130590 PDF
91

Multileveled ALPR using Block-Binary-Pixel-Sum Descriptor and Linear SVC

Author 1: B. Lavanya Author 2: G. Lalitha

Automatic license plate recognition (ALPR) is es-sential component of security and surveillance. ALPR mainly aims to detect and prevent the crime and fraud activities; it also plays an important role in traffic monitoring. An algorithm is proposed for recognizing license plate candidates. The proposed work aimed to recognize the license… Read full abstract & cite →

BBPS – Block Binary Pixel Sum ALPR - Automatic License Plate Recognition ROI - Region of Interest SVC - Support Vector Classification LP - License Plate
Abstract doi.org/10.14569/IJACSA.2022.0130591 PDF
92

Genetic Algorithms Applied to the Searching of the Optimal Path in Image-based Robotic Navigation Environments

Author 1: Fernando Mart´inez Santa Author 2: Fredy H. Mart´inez Sarmiento Author 3: Holman Montiel Ariza

This paper describes an optimal-path finding strat-egy based on Genetic Algorithms, applied to mobile robots in static navigation environments. This strategy starts from an image or plan of the environment and is supported by some different image processing algorithms, mainly the image skeletonization. Three different strategies were tested, changing the… Read full abstract & cite →

Genetic algorithms optimal path optimization robotic environment mobile robots image skeletonization
Abstract doi.org/10.14569/IJACSA.2022.0130592 PDF
93

Anomaly Detection using Network Metadata

Author 1: Khaled Mutmbak Author 2: Sultan Alotaibi Author 3: Khalid Alharbi Author 4: Umar Albalawi Author 5: Osama Younes

The proliferation of numerous network function today gave rise to the importance of network traffic classification against various cyber-attacks. Automatic training with a huge number of representative data necessitates the creation of a model for an efficient classifier. As a result, automatic categorization requires using training techniques capable of assigning… Read full abstract & cite →

Anomaly detection network metadata packet anal-ysis intrusion detection system machine learning classification heterogeneous traffic
Abstract doi.org/10.14569/IJACSA.2022.0130593 PDF
94

Correcting Arabic Soft Spelling Mistakes using BiLSTM-based Machine Learning

Author 1: Gheith Abandah Author 2: Ashraf Suyyagh Author 3: Mohammed Z. Khedher

Soft spelling mistakes are a class of mistakes that is widespread among native Arabic speakers and foreign learners alike. Some of these mistakes are typographical in nature. They occur due to orthographic variations of some Arabic letters and the complex rules that dictate their correct usage. Many people forgo these… Read full abstract & cite →

Arabic text natural language processing spelling mistakes recurrent neural networks bidirectional long short-term memory
Abstract doi.org/10.14569/IJACSA.2022.0130594 PDF
95

Prediction of Presence of Brain Tumor Utilizing Some State-of-the-Art Machine Learning Approaches

Author 1: Mitrabinda Khuntia Author 2: Prabhat Kumar Sahu Author 3: Swagatika Devi

A brain tumor is a kind of abnormal development caused by unregularized cell reproduction and it is increasing day-by-day. The Magnetic Resonance Imaging (MRI) tools are the most often used diagnostic tool for brain tumor detection. However, ample amount of information contained in MRI makes the detection and analysis process… Read full abstract & cite →

Brain tumor classification MRI SVM decision tree random forest CAD
Abstract doi.org/10.14569/IJACSA.2022.0130595 PDF
96

Mining Hidden Partitions of Voice Utterances using Fuzzy Clustering for Generalized Voice Spoofing Countermeasures

Author 1: Sarah Mohammed Altuwayjiri Author 2: Ouiem Bchir Author 3: Mohamed Maher Ben Ismail

The high level of usability achieved by voice biomet-rics compared to other biometric authentication modalities has promoted the widespread use of automatic speaker verification (ASV) systems as authentication tools for several services in various domains. Despite their satisfactory performance, ASV systems are vulnerable to malicious voice spoofing attacks. Hence, voice… Read full abstract & cite →

Voice spoofing spoofing countermeasure classifi-cation clustering
Abstract doi.org/10.14569/IJACSA.2022.0130596 PDF
97

PhishRepo: A Seamless Collection of Phishing Data to Fill a Research Gap in the Phishing Domain

Author 1: Subhash Ariyadasa Author 2: Shantha Fernando Author 3: Subha Fernando

Machine learning-based anti-phishing solutions face various challenges in collecting diverse multi-modal phishing data. As a result, most previous works have trained with little or no multi-modal data, which opens several drawbacks. Therefore, this study aims to develop a phishing data repository to meet the diverse data needs of the anti-phishing… Read full abstract & cite →

Cyberattack crowdsourcing internet security phishing machine learning multi-modal data
Abstract doi.org/10.14569/IJACSA.2022.0130597 PDF
98

A Novel Code Completion Strategy

Author 1: Hayatou Oumarou Author 2: Ousmanou Dahirou

Programmers rely on a multitude of techniques to speed up the development process. Among these techniques is code completion, a productivity improvement technique widely used by developers to explore APIs and automatically complete a word being typed by providing a progressively refined list of candidate words (or recommendations). Still called… Read full abstract & cite →

Integrated development environment code comple-tion API code completion tool pharo
Abstract doi.org/10.14569/IJACSA.2022.0130598 PDF
99

Revisiting Polyglot Persistence: From Principles to Practice

Author 1: Omar Lajam Author 2: Salahadin Mohammed

To cope with the rapid advancements in information technologies, many database systems have been developed in the last decade to satisfy various data storage requirements, such as NoSQL databases. In many cases, using a single database system cannot be an option because of the limitations posed on the functionalities of… Read full abstract & cite →

Database system database architecture relational database NoSQL distributed storage multi-model database review classification
Abstract doi.org/10.14569/IJACSA.2022.0130599 PDF
100

Computer Vision: The Effectiveness of Deep Learning for Emotion Detection in Marketing Campaigns

Author 1: Shaldon Wade Naidoo Author 2: Nalindren Naicker Author 3: Sulaiman Saleem Patel Author 4: Prinavin Govender

As businesses move towards more customer-centric business models, marketing functions are becoming increasingly interested in gathering natural, unbiased feedback from cus-tomers. This has led to increased interest in computer vision studies into emotion recognition from facial features, for appli-cation in marketing contexts. This research study was conducted using the publicly-available… Read full abstract & cite →

Computer vision deep learning emotion detection generative adversarial networks marketing campaigns component
Abstract doi.org/10.14569/IJACSA.2022.01305100 PDF
101

Using Machine Learning Techniques to Predict Bugs in Classes: An Empirical Study

Author 1: Musaad Alzahrani

Software bug prediction is an important step in the software development life cycle that aims to identify bug-prone software modules. Identification of such modules can reduce the overall cost and effort of the software testing phase. Many approaches have been introduced in the literature that have investigated the performance of… Read full abstract & cite →

Software bugs bug prediction machine learning techniques software metrics unified bug dataset
Abstract doi.org/10.14569/IJACSA.2022.01305101 PDF
102

Transformer-based Models for Arabic Online Handwriting Recognition

Author 1: Fakhraddin Alwajih Author 2: Eman Badr Author 3: Sherif Abdou

Transformer neural networks have increasingly be-come the neural network design of choice, having recently been shown to outperform state-of-the-art end-to-end (E2E) recurrent neural networks (RNNs). Transformers utilize a self-attention mechanism to relate input frames and extract more expressive sequence representations. Transformers also provide parallelism computation and the ability to capture… Read full abstract & cite →

Selft attention Transformer deep Learning con-nectionist temporal classification convolutional neural networks Arabic online handwriting recognition
Abstract doi.org/10.14569/IJACSA.2022.01305102 PDF
103

Detection of Android Malware App through Feature Extraction and Classification of Android Image

Author 1: Mohd Abdul Rahim Khan Author 2: Nand Kumar Author 3: R C Tripathi

Android apps have security risks due to rapid development in android devices. In the Android ecosystem, there are many challenges to detecting Android malware. Traditional techniques such as static, dynamic, and hybrid approach, most of the existing approaches require a high rate of human intervention to detect Android malware. Most… Read full abstract & cite →

Android malware obfuscation attack machine learning android application package (APK) android malware app grayscale images
Abstract doi.org/10.14569/IJACSA.2022.01305103 PDF
104

A Hybrid Heuristic for a Two-Agent Multi-Skill Resource-Constrained Scheduling Problem

Author 1: Meya Haroune Author 2: Cheikh Dhib Author 3: Emmanuel Neron Author 4: Ameur Soukhal Author 5: Hafed Mohamed Babou Author 6: Farouk Mohamedade Nanne

This paper addresses an industrial case of the two-agent scheduling problem with a global objective function. Each agent manages one or several projects and competes with another agent for the use of common multi-skilled employees. There is a pool of employees, each of which can perform a set of skills… Read full abstract & cite →

Two agents multi-skilled employees multi-project scheduling hybrid genetic algorithm MIGP
Abstract doi.org/10.14569/IJACSA.2022.01305104 PDF
105

Transformer based Model for Coherence Evaluation of Scientific Abstracts: Second Fine-tuned BERT

Author 1: Anyelo-Carlos Gutierrez-Choque Author 2: Vivian Medina-Mamani Author 3: Eveling Castro-Gutierrez Author 4: Rosa Nunez-Pacheco Author 5: Ignacio Aguaded

Coherence evaluation is a problem related to the area of natural language processing whose complexity lies mainly in the analysis of the semantics and context of the words in the text. Fortunately, the Bidirectional Encoder Representation from Transformers (BERT) architecture can capture the aforemen-tioned variables and represent them as embeddings… Read full abstract & cite →

Coherence evaluation inconsistent sentences detec-tion BERT second fine-tuned
Abstract doi.org/10.14569/IJACSA.2022.01305105 PDF
106

Modeling and Simulation of Adaptive Traffic Control System for Multi-Intersection Management using Cellular Automaton and Queuing System

Author 1: Salma EL BAKKAL Author 2: Abdallah LAKHOUILI Author 3: El Hassan ESSOUFI

During last years, urban traffic has become one of the most studied research topics. This is mainly due to the enlargement of the cities and the growing number of vehicles traveling in this road network. One of the most sensitive problems is to verify if the intersections are congestion-free. Another… Read full abstract & cite →

Traffic light systems cellular automaton BCMP queuing systems traffic congestion waiting time adaptive systems
Abstract doi.org/10.14569/IJACSA.2022.01305106 PDF
107

Non-Parametric Stochastic Autoencoder Model for Anomaly Detection

Author 1: Raphael Alampay Author 2: Patricia Angela Abu

Anomaly detection is a widely studied field in computer science with applications ranging from intrusion de-tection, fraud detection, medical diagnosis and quality assurance in manufacturing. The underlying premise is that an anomaly is an observation that does not conform to what is considered to be normal. This study addresses two… Read full abstract & cite →

Neural networks autoencoders machine learning anomaly detection semi-supervised learning
Abstract doi.org/10.14569/IJACSA.2022.01305107 PDF
108

COVID-19 Cases Detection from Chest X-Ray Images using CNN based Deep Learning Model

Author 1: Md Amirul Islam Author 2: Giovanni Stea Author 3: Sultan Mahmud Author 4: Kh. Mustafizur Rahman

COVID-19 has recently manifested as one of the most serious life-threatening infections and is still circulating globally. COVID-19 can be contained to a considerable extent if a patient can know their COVID-19 infection at a possible earlier time, and they can be isolated from other individuals. Recently, researchers have explored… Read full abstract & cite →

COVID-19 CNN deep learning machine learning chest X-ray
Abstract doi.org/10.14569/IJACSA.2022.01305108 PDF
109

BERT-based Approach to Arabic Hate Speech and Offensive Language Detection in Twitter: Exploiting Emojis and Sentiment Analysis

Author 1: Maha Jarallah Althobaiti

The user-generated content on the internet including that on social media may contain offensive language and hate speech which negatively affect the mental health of the whole internet society and may lead to hate crimes. Intelligent models for automatic detection of offensive language and hate speech have attracted significant attention… Read full abstract & cite →

Deep learning hate speech detection offensive language detection sentiment analysis transformer-based model BERT emoji
Abstract doi.org/10.14569/IJACSA.2022.01305109 PDF
110

A Survey of Sink Mobility Models to Avoid the Energy-Hole Problem in Wireless Sensor Networks

Author 1: Ghada Al-Mamari Author 2: Fatma Bouabdallah Author 3: Asma Cherif

Wireless Sensor Networks (WSN) refer to networks where the sensors are deployed in an environment to sense and select data. WSN sensor nodes have limited power and cannot be recharged easily. Consequently, the faster sensor nodes to deplete their energy budget are those close to the sink as they have… Read full abstract & cite →

Energy hole problem mobile sink wireless sensor networks linear programming artificial intelligence
Abstract doi.org/10.14569/IJACSA.2022.01305110 PDF
111

End-to-End Car Make and Model Classification using Compound Scaling and Transfer Learning

Author 1: Omar BOURJA Author 2: Abdelilah MAACH Author 3: Zineb ZANNOUTI Author 4: Hatim DERROUZ Author 5: Hamza MEKHZOUM Author 6: Hamd AIT ABDELALI Author 7: Rachid OULAD HAJ THAMI Author 8: Francois BOURZEIX

Recently, Morocco has started to invest in IoT systems to transform our cities into smart cities that will promote economic growth and make life easier for citizens. One of the most vital addition is intelligent transportation systems which represent the foundation of a smart city. However, the problem often faced… Read full abstract & cite →

Vehicles classification deep learning compound scaling transfer learning IoT
Abstract doi.org/10.14569/IJACSA.2022.01305111 PDF
112

Cache Complexity of Cache-Oblivious Approaches: A Review and Extension

Author 1: Inas Abuqaddom Author 2: Sami Serhan Author 3: Basel A. Mahafzah

The latest direction in cache-aware/cache-efficient algorithms is to use cache-oblivious algorithms based on the cache-oblivious model, which is an improvement of the external-memory model. The cache-oblivious model utilizes memory hierarchies without knowing memories’ parameters in advance since algorithms of this model are automatically tuned according to the actual memory parameters… Read full abstract & cite →

Cache complexity cache-oblivious algorithm mem-ory hierarchy neural network
Abstract doi.org/10.14569/IJACSA.2022.01305112 PDF
113

OvSbChain: An Enhanced Snowball Chain Approach for Detecting Overlapping Communities in Social Graphs

Author 1: Jayati Gulati Author 2: Muhammad Abulaish Author 3: Sajid Yousuf Bhat

Overlapping Snowball Chain is an extension to Snowball Chain, which is based on the concept of community formation in line to the snowball chaining process. The inspiration behind this approach is from the snowball sampling process, wherein a snowball grows to form chain of nodes, leading to the formation of… Read full abstract & cite →

Clustering coefficient community detection over-lapping communities snowball sampling social graph
Abstract doi.org/10.14569/IJACSA.2022.01305113 PDF
114

Improving the Computational Complexity of the COOL Screening Tool

Author 1: Mohamed Ghalwash

Autoimmune disorder, such as celiac disease and type 1 diabetes, is a condition in which the immune system attacks body tissues by mistake. This might be triggered by abnormality in the development of biomarkers such as autoantibodies, which are generated by unhealthy beta cells. Therefore, screening of such biomarkers is… Read full abstract & cite →

Software engineering screening tool autoimmune disorder
Abstract doi.org/10.14569/IJACSA.2022.01305114 PDF
115

A Lightweight Verifiable Secret Sharing in Internet of Things

Author 1: Likang Lu Author 2: Jianzhu Lu

Verifiable Secret Sharing (VSS) is a fundamental tool of cryptography and distributed computing in Internet of Things. Since network bandwidth is a scarce resource, minimizing the number of verification data will improve the performance of VSS. Existing VSS schemes, however, face limitations in meeting the number of verification data and… Read full abstract & cite →

Verifiable secret sharing one-way function inter-net of things security
Abstract doi.org/10.14569/IJACSA.2022.01305115 PDF
IJACSA Journal Cover

Call for Papers - Important Dates

Volume 17 No. 12, December 2026
Paper Submission Due November 25, 2026
Review Notification December 15, 2026
Publication Date December 31, 2026
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