IJACSA Vol. 13 Issue 7 (2022)

1

Research Progress and Trend of the Machine Learning based on Fusion

Author 1: Chen Xiao Yu Author 2: Zhang Xiao Min Author 3: Song Ying Author 4: Gao Feng

Machine learning is widely used in the data processing including data classification, data regression, data mining and so on, and based on a single type of machine learning technology, it is often difficult to meet the requirements of data processing; in recent years, the machine learning based on fusion has… Read full abstract & cite →

Machine learning fusion ensemble learning federated learning transfer learning

Abstract doi.org/10.14569/IJACSA.2022.0130701 PDF

2

Detection of Premature Ventricular Contractions using 12-lead Dynamic ECG based on Squeeze-Excitation Residual Network

Author 1: Duan Li Author 2: Tingting Sun Author 3: Yibai Xue Author 4: Yilin Xie Author 5: Xiaolei Chen Author 6: Jiaofen Nan

Premature ventricular contraction (PVC) is a very common arrhythmia that can originate in any part of the ventricle and is one of the important causes of sudden cardiac death. Timely and rapid detection of PVC on dynamic electrocardiogram (ECG) recording for patients with cardiovascular diseases is of great significance for… Read full abstract & cite →

Dynamic ECG squeeze-excitation residual network premature ventricular contraction

Abstract doi.org/10.14569/IJACSA.2022.0130702 PDF

3

Personality Classification Model of Social Network Profiles based on their Activities and Contents

Author 1: Mervat Ragab Bakry Author 2: Mona Mohamed Nasr Author 3: Fahad Kamal Alsheref

Social networks have become an important part of everyday life, especially after the latest technologies such as smartphones, tablets, and laptops have become widespread. Individuals spend a lot of time on social media and express their feelings and opinions through statuses, comments, and updates which could be a way to… Read full abstract & cite →

Psychological personality machine learning techniques big-five LinearSVC

Abstract doi.org/10.14569/IJACSA.2022.0130703 PDF

4

Customer Profiling Method with Big Data based on BDT and Clustering for Sales Prediction

Author 1: Kohei Arai Author 2: Zhan Ming Ming Author 3: Ikuya Fujikawa Author 4: Yusuke Nakagawa Author 5: Tatsuya Momozaki Author 6: Sayuri Ogawa

We propose a method for customer profiling based on Binary Decision Tree: BDT and k-means clustering with customer related big data for sales prediction; valuable customer findings as well as customer relation improvements. Through the customer related big data, not only sales prediction but also categorization of customers as well… Read full abstract & cite →

Customer profiling binary decision tree: BDT corporate social responsibility (CSR) k-means clustering sales prediction valuable customer findings

Abstract doi.org/10.14569/IJACSA.2022.0130704 PDF

5

A New Hybrid-Heuristic Approach for Vertex p-Median Location Problems

Author 1: Hassan Mohamed Rabie Author 2: Said Salhi

In this paper, a new hybridization of a Myopic and Neighborhood approaches is proposed to solve large-size vertex p-median location problems. The effectiveness and efficiency of our approach are demonstrated empirically through an intensive computational experiment on large-size instances taken from TSPLib and BIRCH datasets, with the number of nodes… Read full abstract & cite →

P-median discrete location problems myopic heuristic neighborhood heuristic

Abstract doi.org/10.14569/IJACSA.2022.0130705 PDF

6

Annotated Corpus with Negation and Speculation in Arabic Review Domain: NSAR

Author 1: Ahmed Mahany Author 2: Heba Khaled Author 3: Nouh Sabri Elmitwally Author 4: Naif Aljohani Author 5: Said Ghoniemy

Negation and speculation detection are critical for Natural Language Processing (NLP) tasks, such as sentiment analysis, information retrieval, and machine translation. This paper presents the first Arabic corpus in the review domain annotated with negation and speculation. The Negation and Speculation Arabic Review (NSAR) corpus consists of 3K randomly selected… Read full abstract & cite →

Arabic NLP negation speculation uncertainty annotation annotation guidelines corpus review domain sentiment analysis

Abstract doi.org/10.14569/IJACSA.2022.0130706 PDF

7

Drought Prediction and Validation for Desert Region using Machine Learning Methods

Author 1: Azmat Raja Author 2: Gopikrishnan T

Drought prediction serves as an early warning to the effective management of water resources to avoid the drought impact. The drought prediction is carried out for arid, semi-arid, sub-humid, and humid climate types in the desert region. The drought is predicted using Standardized precipitation evapotranspiration index (SPEI). The application of… Read full abstract & cite →

Drought SPEI machine learning water resources prediction

Abstract doi.org/10.14569/IJACSA.2022.0130707 PDF

8

An SDN-based Decision Tree Detection (DTD) Model for Detecting DDoS Attacks in Cloud Environment

Author 1: Jeba Praba. J Author 2: R. Sridaran

Detecting Distributed Denial of Service (DDoS) attacks has become a significant security issue for various network technologies. This attack has to be detected to increase the system’s reliability. Though various traditional studies are present, they suffer from data shift issues and accuracy. Hence, this study intends to detect DDoS attacks… Read full abstract & cite →

Distributed denial of service attack greedy feature selection decision tree algorithm software defined networking cloud and decision tree detection

Abstract doi.org/10.14569/IJACSA.2022.0130708 PDF

9

Mono Camera-based Human Skeletal Tracking for Squat Exercise Abnormality Detection using Double Exponential Smoothing

Author 1: Muhammad Nafis Hisham Author 2: Mohd Fadzil Abu Hassan Author 3: Norazlin Ibrahim Author 4: Zalhan Mohd Zin

Human action analysis is an enthralling area of research in artificial intelligence, as it may be used to improve a range of applications, including sports coaching, rehabilitation, and monitoring. By forecasting the body's vital position of posture, human action analysis may be performed. Human body tracking and action recognition are… Read full abstract & cite →

Abnormality movement double exponential smoothing skeletal tracking mediapipe squat exercise

Abstract doi.org/10.14569/IJACSA.2022.0130709 PDF

10

Solving the Imbalanced and Limited Data Labeled for Automated Essay Scoring using Cost Sensitive XGBoost and Pseudo-Labeling

Author 1: Marvina Pramularsih Author 2: Mardhani Riasetiawan

There are two main problems on forming the Automatic Essay Scoring Model. They are the datasets having imbalanced amount of the right and wrong answers and the minimal use of labeled data in the model training. The model forming based on these problems is divided into three main points, namely… Read full abstract & cite →

Imbalanced data limited labeled data automated essay scoring cost sensitive XGBoost pseudo-labeling

Abstract doi.org/10.14569/IJACSA.2022.0130710 PDF

11

Prediction of Instructor Performance using Machine and Deep Learning Techniques

Author 1: Basem S. Abunasser Author 2: Mohammed Rasheed J. AL-Hiealy Author 3: Alaa M. Barhoom Author 4: Abdelbaset R. Almasri Author 5: Samy S. Abu-Naser

The quality of instructors’ performance mainly influences the quality of educational services in higher educational institutions. One of the major challenges of higher educational institutions is the accumulated amount of data and how it can be utilized to boost the academic programs quality. The recent advancements in Artificial Intelligence techniques… Read full abstract & cite →

Education deep learning machine learning prediction instructor performance

Abstract doi.org/10.14569/IJACSA.2022.0130711 PDF

12

Application-based Usability Evaluation Metrics

Author 1: Hanaa Bayomi Author 2: Noura A.Sayed Author 3: Hesham Hassan Author 4: Khaled Wassif

Testing is one of the vital stages in the software development life cycle (SDLC). Usability testing is a very important field that helps the applications be easily used by the end-users. Because of the importance of usability testing, a metrics has been developed to help in measuring the usability through… Read full abstract & cite →

Usability human-computer interaction evaluation quantitative attributes testing

Abstract doi.org/10.14569/IJACSA.2022.0130712 PDF

13

Design and Development of Face Mask Reminder Box Technology using Arduino Uno

Author 1: Chee Ken Nee Author 2: Rafiza Abdul Razak Author 3: Muhamad Hariz Bin Muhamad Adnan Author 4: Wan Fatin Liyana Mutalib Author 5: Nur Fatirah Roslee Author 6: Noor Mursheeda Mahyuddin

The World Health Organization (WHO) declared the COVID-19 pandemic on 12 Mar, 2020, due to the growth in the number of cases worldwide. WHO advises wearing a face mask and practicing social distancing, which has played a crucial role in prevention and control measures that can prevent the spread of… Read full abstract & cite →

Face mask box COVID-19 Voice reminder Arduino New norm

Abstract doi.org/10.14569/IJACSA.2022.0130713 PDF

14

An Efficient Unusual Event Tracking in Video Sequence using Block Shift Feature Algorithm

Author 1: Karanam Sunil Kumar Author 2: N P Kavya

The area of video technology is rapidly growing owing to advancements in intelligent video systems in sensor operations, higher bandwidth capacity, storage, and high-resolution displays. This led to the proliferation of video-based computing modeling to perform specific tasks on video sequences to gain more insight from the data. Visual tracking… Read full abstract & cite →

Object detection tracking learning models video sequence analysis

Abstract doi.org/10.14569/IJACSA.2022.0130714 PDF

15

An Ontological Model based on Machine Learning for Predicting Breast Cancer

Author 1: Hakim El Massari Author 2: Noreddine Gherabi Author 3: Sajida Mhammedi Author 4: Hamza Ghandi Author 5: Fatima Qanouni Author 6: Mohamed Bahaj

Breast cancer is mostly a female disease, but it may affect men as well even at a considerably lower percentage. An automated diagnosis system should be built for early detection because manual breast cancer diagnosis takes a long time. Doctors have lately achieved significant advances in the early identification and… Read full abstract & cite →

Machine learning prediction ontology semantic web rule language decision tree breast cancer

Abstract doi.org/10.14569/IJACSA.2022.0130715 PDF

16

An Intelligent Transport System in VANET using Proxima Analysis

Author 1: Satyanarayana Raju K Author 2: Selvakumar K

There is no proper structure for Vehicular ad hoc networks (VANETs). VANET generates several mobility vehicles that move in different directions by connecting the vehicles and transferring the data between the source and destination which is very useful information. In this system, a small network is created with vehicles and… Read full abstract & cite →

Vehicular Ad hoc Network (VANET) intelligent transportation system (ITS) KNN RF

Abstract doi.org/10.14569/IJACSA.2022.0130716 PDF

17

Virtual Reality, a Method to Achieve Social Acceptance of the Communities Close to Mining Projects: A Scoping Review

Author 1: Patricia López-Casaperalta Author 2: Jeanette Fabiola Díaz-Quintanilla Author 3: José Julián Rodríguez-Delgado Author 4: Alejandro Marcelo Acosta-Quelopana Author 5: Aleixandre Brian DuchePérez

Background: Virtual reality (VR) technology is an effective, interactive and immersive type of communication since it produces greater interest and attention in the user, thereby allowing greater understanding and comprehension than with more traditional methods. On the other hand, not much information is known about the application of this novel… Read full abstract & cite →

Mining projects social acceptance virtual reality interaction mining communities

Abstract doi.org/10.14569/IJACSA.2022.0130717 PDF

18

RETRACTED: Semantically Query All (Squerall): A Scalable Framework to Analyze Data from Heterogeneous Sources at Different Levels of Granularity

Author 1: Iqbal Hasan Author 2: Majid Zaman Author 3: Sheikh Amir Fayaz Author 4: Ifra Altaf Author 5: Muheet Ahmed Butt Author 6: S.A.M Rizvi

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 →

Heterogeneous data data warehouse big data presto spark squerall

Abstract doi.org/10.14569/IJACSA.2022.0130718 PDF

19

Evaluation on the Effects of 2D Animation as a Verbal Apraxia Therapy for Children with Verbal Apraxia of Speech

Author 1: Muhammad Taufik Hidayat Author 2: Sarni Suhaila Rahim Author 3: Shahril Parumo Author 4: Nurul Najihah A’bas Author 5: Muhammad ‘Ammar Muhammad Sani Author 6: Hilmi Abdul Aziz

This article presents an evaluation of 2D Animation of Learning Numbers and Letters for Children with Verbal Apraxia. The developed application provides some knowledge and encourage children with verbal apraxia to learn and know about numbers and letters. An experimental testing was conducted to evaluate the usability of the developed… Read full abstract & cite →

Childhood apraxia of speech verbal dyspraxia speech and language disorder 2D animation visual animation treatment evaluation

Abstract doi.org/10.14569/IJACSA.2022.0130719 PDF

20

An Evaluation Method for Service-Oriented Architecture Maturity Model

Author 1: Mohd Hamdi Irwan Hamzah Author 2: Ezak Fadzrin Ahmad Shaubari

SOA maturity model was used to clarify and provide a common definition of SOA inside an organization. The model provides an abstract overview of SOA adoption by characterizing evolutionary levels. However, this study found that there is a lacking on how the previous models were evaluated to show that the… Read full abstract & cite →

Maturity model model evaluation model validation model verification service-oriented architecture

Abstract doi.org/10.14569/IJACSA.2022.0130720 PDF

21

Fake Face Generator: Generating Fake Human Faces using GAN

Author 1: Md. Mahiuddin Author 2: Md. Khaliluzzaman Author 3: Md. Shahnur Azad Chowdhury Author 4: Muhammed Nazmul Arefin

As machine learning is growing rapidly, creating art and images by machine is one of the most trending topics in current time. It has enormous applications in our current day to day life. Various researchers have researched this topic and they try to implement various ideas and most of them… Read full abstract & cite →

Generative adversarial network fake human faces generator discriminator CelebA dataset

Abstract doi.org/10.14569/IJACSA.2022.0130721 PDF

22

Towards Adapting Metamodelling Technique for an Online Social Networks Forensic Investigation (OSNFI) Domain

Author 1: Aliyu Musa Bade Author 2: Siti Hajar Othman

With the ease of use of smart devices, most data is now kept and exchanged in digital forms such as images, diaries, calendars, movies, and so on. Digital forensic investigation is a new technology that emerged from criminals' who extensively use computers and digital storage devices to commit different types… Read full abstract & cite →

Online social networks forensic online social networks forensic investigation metamodelling metamodel model

Abstract doi.org/10.14569/IJACSA.2022.0130722 PDF

23

Recommendation System based on User Trust and Ratings

Author 1: Mohamed TIMMI Author 2: Loubna LAAOUINA Author 3: Adil JEGHAL Author 4: Said EL GAROUANI Author 5: Ali YAHYAOUY

Recommendation systems aim at providing the user with large information that will be user-friendly. They are techniques based on the individual’s contribution in rating the items. The main principle of recommendation systems is that it is useful for user’s sharing the same interests. Furthermore, collaborative filtering is a widely used… Read full abstract & cite →

Recommendation systems collaborative filtering trust social networks

Abstract doi.org/10.14569/IJACSA.2022.0130723 PDF

24

Impervious Surface Prediction in Marrakech City using Artificial Neural Network

Author 1: Sulaiman Mahyoub Author 2: Hassan Rhinane Author 3: Mehdi Mansour Author 4: Abdelhamid Fadil Author 5: Waban Al okaishi

Determining an impervious surface is one of the most important topics of remote sensing because of its great role in providing information that benefits decision-makers in urban planning, sustainable development goals, and environmental protection. In recent years, a great development in this field has occurred due to the huge improvement… Read full abstract & cite →

Deep-learning remote sensing artificial neural network ANN impervious surface

Abstract doi.org/10.14569/IJACSA.2022.0130724 PDF

25

E-AHP: An Enhanced Analytical Hierarchy Process Algorithm for Priotrizing Large Software Requirements Numbers

Author 1: Nahla Mohamed Author 2: Sherif Mazen Author 3: Waleed Helmy

One of the main activities of software requirements analysis is requirements prioritization. The wrong requirements prioritization is risky as it leads to many software failures. The current requirements prioritization techniques can’t deal with large requirement numbers efficiently, which is considered one of their main issues. Many researchers have agreed that… Read full abstract & cite →

Requirements engineering analytical hierarchy process software engineering requirements prioritization techniques

Abstract doi.org/10.14569/IJACSA.2022.0130725 PDF

26

Effectiveness of Human-in-the-Loop Sentiment Polarization with Few Corrected Labels

Author 1: Ruhaila Maskat Author 2: Nurzety Aqtar Ahmad Azuan Author 3: Siti Auni Amaram Author 4: Nur Hayatin

In this work, we investigated the effectiveness of adopting Human-in-the-Loop (HITL) aimed to correct automatically generated labels from existing scoring models, e.g. SentiWordNet and Vader to enhance prediction accuracy. Recently, many proposals showed a trend in utilizing these models to label data by assuming that the labels produced are near… Read full abstract & cite →

Human-in-the-loop few labels sentiment polarization

Abstract doi.org/10.14569/IJACSA.2022.0130726 PDF

27

Fuzzy Clustering Analysis of Power Incomplete Data based on Improved IVAEGAN Model

Author 1: Yutian Hong Author 2: Jun Lin

The scale of data generated by the complex and huge power system during operation is also very large. With the data acquisition of various information systems, it is easy to form the situation of incomplete power data information, which cannot guarantee the efficiency and quality of work, and reduce the… Read full abstract & cite →

Power system power equipment incomplete data fuzzy clustering mining algorithm

Abstract doi.org/10.14569/IJACSA.2022.0130727 PDF

28

MCBRank Method to Improve Software Requirements Prioritization

Author 1: Sabrina Ahmad Author 2: Riftika Rizawanti Author 3: Terry Woodings Author 4: Intan Ermahani A. Jalil

Software Requirements Prioritization is an important issue that has a more profound effect on the overall quality of software development. Application of software requirements prioritization provides benefits to minimize risks in software development so that the most important and most impactful requirements are given priority. This paper presents a proposed… Read full abstract & cite →

Requirements prioritization requirements engineering software engineering empirical software engineering

Abstract doi.org/10.14569/IJACSA.2022.0130728 PDF

29

Breast Cancer Detection and Classification using Deep Learning Xception Algorithm

Author 1: Basem S. Abunasser Author 2: Mohammed Rasheed J. AL-Hiealy Author 3: Ihab S. Zaqout Author 4: Samy S. Abu-Naser

Breast Cancer (BC) is one of the leading cause of deaths worldwide. Approximately 10 million people pass away internationally from breast cancer in the year 2020. Breast Cancer is a fatal disease and very popular among women globally. It is ranked fourth among the fatal diseases of different cancers, for… Read full abstract & cite →

Breast cancer deep learning xception

Abstract doi.org/10.14569/IJACSA.2022.0130729 PDF

30

Improved POS Tagging Model for Malay Twitter Data based on Machine Learning Algorithm

Author 1: Siti Noor Allia Noor Ariffin Author 2: Sabrina Tiun

Twitter is a popular social media platform in Malaysia that allows for 280-character microblogging. Almost everything that happens in a single day is tweeted by users. Because of the popularity of Twitter, most Malaysians use it daily, providing researchers and developers with a wealth of data on Malaysian users. This… Read full abstract & cite →

Informal Malay Malay Twitter corpus Malay POS tagging Malay POS tagger model Malay social media texts Malay POS machine learning

Abstract doi.org/10.14569/IJACSA.2022.0130730 PDF

31

Deep Learning Framework for Locating Physical Internet Hubs using Latitude and Longitude Classification

Author 1: El-Sayed Orabi Helmi Author 2: Osama Emam Author 3: Mohamed Abdel-Salam

This article proposes framework for determining the optimal or near optimal locations of physical internet hubs using data mining and deep learning algorithms. The framework extracts latitude and longitude coordinates from various data types as data acquisition phase. These coordinates has been extracted from RIFD, online maps, GPS, and GSM… Read full abstract & cite →

Physical internet hubs (π hubs) deep learning convolutional neural network (CNN) recurrent neural network (RNN) latitude and Longitude classification

Abstract doi.org/10.14569/IJACSA.2022.0130731 PDF

32

Development of Adaptive Line Tracking Breakpoint Detection Algorithm for Room Sensing using LiDAR Sensor

Author 1: Deddy El Amin Author 2: Karlisa Priandana Author 3: Medria Kusuma Dewi Hardhienata

This research focuses on the use of Light Detection and Ranging (LiDAR) sensors for robot localization. One of the most essential algorithms in LiDAR localization is the breakpoint detector algorithm which is used to determine the corner of the room. The previously developed breakpoint detection methods have weaknesses, such as… Read full abstract & cite →

LiDAR breakpoint detector robot localization corner detection line segmentation

Abstract doi.org/10.14569/IJACSA.2022.0130732 PDF

33

Alignment of Software System Level with Business Process Level: Resolving Syntactic and Semantic Conflicts

Author 1: Samia Benabdellah Chaouni Author 2: Maryam Habba Author 3: Mounia Fredj

Information systems help organizations manage their entities with innovative technologies. These entities are often very different in nature. In this paper, we consider a business process level based on a set of Business Process Model and Notation (BPMN) models and a software system level based on a Unified Modeling Language… Read full abstract & cite →

Information system alignment business process software system Business Process Model and Notation (BPMN) Unified Modelling Language (UML) class diagram ontology semantic aspects

Abstract doi.org/10.14569/IJACSA.2022.0130733 PDF

34

Multi-Task Reinforcement Meta-Learning in Neural Networks

Author 1: Ghazi Shakah

Artificial Neural Networks (ANN) is one of the main and widespread tools for creating intelligent systems. And, they are actively used for data analysis in many areas such as robotics, computer vision, natural language processing, etc. The learning process of ANN is one of the most labor-intensive stages in ANN… Read full abstract & cite →

Multitasking meta-learning reinforcement learning neural networks optimization

Abstract doi.org/10.14569/IJACSA.2022.0130734 PDF

35

Data Fusion Model of Road Sensors based IoT Feature Clustering

Author 1: Hua Yang

The collection of traffic data can play a role in analyzing and predicting highway design, planning, and real-time traffic management. The accuracy requirements for road dynamic data collection are low, and the accuracy is usually 3%-5%. However, it is required that vehicles can pass at high speed and obtain traffic… Read full abstract & cite →

Traffic data Internet of Things (IoT) technology perception sensors vibration monitoring k-means++ algorithm

Abstract doi.org/10.14569/IJACSA.2022.0130735 PDF

36

Automatic State Recognition of Multi-type Protection Platens based on YOLOv5 and Parallel Multi-Decision Algorithm

Author 1: Ying Zhang Author 2: Yihui Zhang Author 3: Hao Wu Author 4: Boxiong Fu Author 5: Ling He

A protection platen is a vital component in relay protection systems. The manual inspection of protection platen states is long-term repetitive work with low efficiency and imposes a heavy burden on workers. In this work, we propose a new system to automatically detect the states of multi-type protection platens in… Read full abstract & cite →

Protection platen parallel multi-decision YOLOv5 network watershed-color space difference-shape feature

Abstract doi.org/10.14569/IJACSA.2022.0130736 PDF

37

Dual Authentication for Payment Request Verification Over Cloud using Bilinear Dual Authentication Payments Transaction Protocol

Author 1: A. Saranya Author 2: R. Naresh

There has been a recent explosion in the number of mobile network payment gateways that enable users to access services through a variety of devices. Mobile payment gateway security is complicated by a number of difficult-to-solve issues. As digital technology has progressed over the last decade, mobile payment mechanisms have… Read full abstract & cite →

Mobile payment transaction protocol bullet hash maximum distance separable mutate Hellman algorithm

Abstract doi.org/10.14569/IJACSA.2022.0130737 PDF

38

An Efficient Approach towards Vehicle Number Estimation with Ad-hoc Network under Vehicular Environment

Author 1: Yuva Siddhartha Boyapati Author 2: Shallaja Salagrama Author 3: Vimal Bibhu

Ad-hoc network usability extends the application for Dedicated Short-Range Communication. This type of ad-hoc network technology is non infrastructure and due to this fact, it can be used for Direct Short Range Communication System to provide the quick and real time message to the vehicular operator to prevent the damage… Read full abstract & cite →

Vehicular ad hoc networking hidden vehicle visible vehicle time division multiple access dedicated short range communication

Abstract doi.org/10.14569/IJACSA.2022.0130738 PDF

39

Virtual Tourism and Digital Heritage: An Analysis of VR/AR Technologies and Applications

Author 1: Muhammad Shoaib Siddiqui Author 2: Toqeer Ali Syed Author 3: Adnan Nadeem Author 4: Waqas Nawaz Author 5: Ahmad Alkhodre

During the time of the pandemic, travel restrictions have impacted the tourism industry with an estimated loss of more than a trillion USD; however, at the same time, we have seen a significant increase in profits for the industries which empower remote connectivity. Various studies have identified the positive impact… Read full abstract & cite →

Virtual tourism digital heritage virtual reality user experience

Abstract doi.org/10.14569/IJACSA.2022.0130739 PDF

40

Using a Fuzzy-Bayesian Approach for Predictive Analysis of Delivery Delay Risk

Author 1: Ouafae EL Bouhadi Author 2: Monir Azmani Author 3: Abdellah Azmani Author 4: Mouna Atik el ftouh

Although one of the major roles of delivery logistics activities is to ensure a good quality of customer service, certain risks such as damage, delay, return of transported goods occur quite often. This makes risk control and prevention one of the requirements of transport supply chain quality. The article focuses… Read full abstract & cite →

Delivery logistics risk management predictive analysis bayesian network fuzzy logic

Abstract doi.org/10.14569/IJACSA.2022.0130740 PDF

41

Mining Educational Data to Analyze the Student’s Performance in TOEFL iBT Reading, Listening and Writing Scores

Author 1: Khaled M. Hassan Author 2: Mohammed Helmy Khafagy Author 3: Mostafa Thabet

Student scores in TOEFL IBT reading, listening, and writing may reveal weaknesses and deficiencies in educational institutions. Traditional approaches and evaluations are unable to disclose the significant information hidden inside the student's TOEFL score. As a result, data mining approaches are widely used in a wide range of fields, particularly… Read full abstract & cite →

Educational data mining students score linear regression TOEFL Statistics

Abstract doi.org/10.14569/IJACSA.2022.0130741 PDF

42

Average Delay-based early Congestion Detection in Named Data of Health Things

Author 1: Asmaa EL-BAKKOUCHI Author 2: Mohammed EL GHAZI Author 3: Anas BOUAYAD Author 4: Mohammed FATTAH Author 5: Moulhime EL BEKKALI

The Internet of Health Things (IoHT) is receiving more attention from researchers because of its wide use in the healthcare field. IoHT refers to medical devices whose main purpose is to transmit health data in a secure and lossless manner between them and healthcare personnel. However, in a medical emergency… Read full abstract & cite →

Named data networking internet of health things congestion control congestion detection

Abstract doi.org/10.14569/IJACSA.2022.0130742 PDF

43

Novel Approach for Spatiotemporal Weather Data Analysis

Author 1: Radhika T V Author 2: K C Gouda Author 3: S Sathish Kumar

Massive volumes of multidimensional array-based spatiotemporal data are generated by climate observations and model simulations. The growth in climate data leads to new opportunities for climate studies at multiple spatial and temporal scales. Managing, analyzing and processing of big climate data is considered to be challenging because of huge data… Read full abstract & cite →

Spatiotemporal big climate data spark ARIMA

Abstract doi.org/10.14569/IJACSA.2022.0130743 PDF

44

Prediction Models to Effectively Detect Malware Patterns in the IoT Systems

Author 1: Rawabi Nazal Alhamad Author 2: Faeiz M. Alserhani

The Widespread use of the Internet of Things (IoT) has influenced many domains including smart cities, cameras, wearables, smart industrial equipment, and other aspects of our daily lives. On the other hand, the IoT environment deals with a massive volume of data that needs to be kept secure from tampering… Read full abstract & cite →

Internet of Things (IoT) malware deletion random forest Catboost convolutional neural network long short-term memory (LSTM) XGBoost

Abstract doi.org/10.14569/IJACSA.2022.0130744 PDF

45

Power Grid Resource Integration of Enterprise Middle Station based on Analytic Hierarchy Process

Author 1: Shaobo Liu Author 2: Li Chen Author 3: Wenyuan Bai Author 4: Zhen Zhang Author 5: Fupeng Li

With the transformation from smart grid to power Internet of Things, new power businesses such as power grid automation and power quality monitoring are constantly emerging. The load environment of power grid is changeable. In order to meet the needs of multi-service, the integrated access scheme for power grid resources… Read full abstract & cite →

Power grid enterprises SDN power grid resources centralized control architecture power communication network

Abstract doi.org/10.14569/IJACSA.2022.0130745 PDF

46

A Screening System for COVID-19 Severity using Machine Learning

Author 1: Abang Mohd Irham Amiruddin Yusuf Author 2: Marshima Mohd Rosli Author 3: Nor Shahida Mohamad Yusop

COVID-19 disease can be classified into various stages depending on the severity of the patient. Patients in severe stages of COVID-19 need immediate treatment and should be placed in a medical-ready environment because they are at high risk of death. Thus, hospitals need a fast and efficient method to screen… Read full abstract & cite →

Severity prediction COVID-19 random forest Naïve Bayes gradient boosting

Abstract doi.org/10.14569/IJACSA.2022.0130746 PDF

47

Electronic Personal Health Record Assessment Methodology: A Review

Author 1: Dirayana Kamarudin Author 2: Nurhizam Safie Author 3: Hasimi Sallehudin

ePHR (Electronic Personal Health Record) is not a new concept in the era of electronic health information. The advantages of ePHR in improving health outcomes through patient empowerment have been recognized globally and almost all countries that implement electronic health records (EHR) have created ePHR. This study identifies the components… Read full abstract & cite →

Personal health record ePHR ePHR evaluation variable

Abstract doi.org/10.14569/IJACSA.2022.0130747 PDF

48

Contribution of Experience in the Acquisition of Physical Sciences Case of High School Students Qualifying

Author 1: Zineb Azar Author 2: Oussama Dardary Author 3: Jabran Daaif Author 4: Malika Tridane Author 5: Said Benmokhtar Author 6: Said Belaaouad

This work deals with the importance of experimental practice in the teaching of physical sciences. By practice, we rarely mean practical work carried out in the laboratory. We examined the relationship between students' knowledge of physical science and how practice may or may not help them understand chemical and/or physical… Read full abstract & cite →

Experimental practice physical sciences students practical Work PW

Abstract doi.org/10.14569/IJACSA.2022.0130748 PDF

49

Fit-Gap Analysis: Pre-Fit-Gap Analysis Recommendations and Decision Support Model

Author 1: LAHLOU Imane Author 2: MOTAKI Nourredine Author 3: SARSRI Driss Author 4: L’YARFI Hanane

Enterprise Resource Planning (ERP) system has been defined as a configurable Commercial Off-The-Shelf (COTS) system integrated into multiple business functions. For most companies, adopting ERP has become necessary to maintain market competitiveness. However, ERP implementation is still critical because project success depends on multiple parameters and involves several stakeholders. This… Read full abstract & cite →

ERP systems misfit customisation fit-gap analysis

Abstract doi.org/10.14569/IJACSA.2022.0130749 PDF

50

An Improved Deep Learning Model of Chili Disease Recognition with Small Dataset

Author 1: Nuramin Fitri Aminuddin Author 2: Zarina Tukiran Author 3: Ariffuddin Joret Author 4: Razali Tomari Author 5: Marlia Morsin

Due to its tasty and spicy fruit with nutritional qualities, chili is a demanding crop widely farmed around the world. Hence, it is essential to accurately determine the health status of chili for agricultural productivity. Recent years have seen impressive results in recognition fields due to deep learning approaches. However… Read full abstract & cite →

Chili leaf deep learning data augmentation geometric transformation

Abstract doi.org/10.14569/IJACSA.2022.0130750 PDF

51

Arabic Image Captioning: The Effect of Text Pre-processing on the Attention Weights and the BLEU-N Scores

Author 1: Moaz T. Lasheen Author 2: Nahla H. Barakat

Image captioning using deep neural networks has recently gained increasing attention, mostly for English langue, with only few studies in other languages. Good image captioning model is required to automatically generate sensible, syntactically and semantically correct captions, which in turn requires good models for both computer vision and natural language… Read full abstract & cite →

Arabic image captioning computer vision deep learning image captioning natural language processing

Abstract doi.org/10.14569/IJACSA.2022.0130751 PDF

52

Identification of Human Sperm based on Morphology Using the You Only Look Once Version 4 Algorithm

Author 1: Aristoteles Author 2: Admi Syarif Author 3: Sutyarso Author 4: Favorisen R. Lumbanraja Author 5: Arbi Hidayatullah

Infertility is a crucial reproductive problem experienced by both men and women. Infertility is the inability to get pregnant within one year of sexual intercourse. This study focuses on infertility in men. Many causes that can cause infertility in men including sperm quality. Currently, identification of human sperm is still… Read full abstract & cite →

Classification deep learning identification sperm sperm head you only look once version 4

Abstract doi.org/10.14569/IJACSA.2022.0130752 PDF

53

Brain Tumor Segmentation and Classification from MRI Images using Improved FLICM Segmentation and SCA Weight Optimized Wavelet-ELM Model

Author 1: Debendra Kumar Sahoo Author 2: Satyasis Mishra Author 3: Mihir Narayan Mohanty

Image segmentation is an essential technique of brain tumor MRI image processing for automated diagnosis of an image by partitioning it into distinct regions referred to as a set of pixels. The classification of the tumor affected and non-tumor becomes an arduous task for radiologists. This paper presents a novel… Read full abstract & cite →

Sine cosine algorithm extreme learning machine fuzzy c means GLCM feature support vector machine

Abstract doi.org/10.14569/IJACSA.2022.0130753 PDF

54

A Machine Learning and Multi-Agent Model to Automate Big Data Analytics in Smart Cities

Author 1: Fouad SASSITE Author 2: Malika ADDOU Author 3: Fatimazahra BARRAMOU

The objective of this paper is to present an architecture to improve the process of automating big data analytics using a multi-agent system and machine learning techniques, to support the processing of real time big data streams and to enhance the process of decision-making for urban planning and management. With… Read full abstract & cite →

Big data analytics machine learning smart data multi-agent system automation decision-making urban planning

Abstract doi.org/10.14569/IJACSA.2022.0130754 PDF

55

Brain Tumor Detection using MRI Images and Convolutional Neural Network

Author 1: Driss Lamrani Author 2: Bouchaib Cherradi Author 3: Oussama El Gannour Author 4: Mohammed Amine Bouqentar Author 5: Lhoussain Bahatti

A brain tumor is the cause of abnormal growth of cells in the brain. Magnetic resonance imaging (MRI) is the most practical method for detecting brain tumors. Through these MRIs, doctors analyze and identify abnormal tissue growth and can confirm whether the brain is affected by a tumor or not… Read full abstract & cite →

Brain tumor machine learning convolutional neural network MRI images

Abstract doi.org/10.14569/IJACSA.2022.0130755 PDF

56

Firefly Algorithm with Mini Batch K-Means Entropy Measure for Clustering Heterogeneous Categorical Timber Data

Author 1: Nurshazwani Muhamad Mahfuz Author 2: Marina Yusoff Author 3: Muhammad Shaiful Nordin Author 4: Zakiah Ahmad

Clustering analysis is the process of identifying similar patterns in various types of data. Heterogeneous categorical data consists of data on ordinal, nominal, binary, and Likert scales. The clustering solution for heterogeneous data clustering remains difficult due to partitioning complex and dissimilarity features. It is necessary to find a solution… Read full abstract & cite →

Clustering mini batch k-means entropy heterogeneous categorical firefly optimization algorithm

Abstract doi.org/10.14569/IJACSA.2022.0130756 PDF

57

Improved Spatial Invariance for Vehicle Platoon Application using New Pooling Method in Convolution Neural Network

Author 1: M S Sunitha Patel Author 2: Srinath S

The imbalanced dataset is a prominent concern for automotive deep learning researchers. The proposed work provides a new mixed pooling strategy with enhanced performance for imbalanced vehicle dataset based on Convolution Neural Network (CNN). Pooling is crucial for improving spatial invariance, processing time, and overfitting in CNN architecture. Max and… Read full abstract & cite →

Average pooling convolution neural network imbalance dataset max pooling mixed pooling

Abstract doi.org/10.14569/IJACSA.2022.0130757 PDF

58

Framework to Develop a Resilient and Sustainable Integrated Information System for Health Care Applications: A Review

Author 1: Ayogeboh Epizitone

The reconstruction of the health sector amidst the forth industrial revolution has been confronted with many challenges. Many benefits have been attributed to the vital role played by technology in realizing and constructing a robust health information system. However, amidst the digitalization in the healthcare system, several challenges such as… Read full abstract & cite →

Health information system integrated information system e-health bioinformatics

Abstract doi.org/10.14569/IJACSA.2022.0130758 PDF

59

TEC Forecasting using Optimized Variational Mode Decomposition and Elman Neural Networks

Author 1: Maladh Mahmood Shakir Author 2: Zalinda Othman Author 3: Azuraliza Abu Bakar

Forecasting the ionosphere layer’s total electronic content (TEC) is crucial for its impact on satellite signals and global positioning systems (GPS) and the ability to predict earthquakes. The existing statistical-based forecasting models such as ARMA, ARIMA, and HW suffered from the TEC non-stationarity nature, which requires algorithmic handling of the… Read full abstract & cite →

Elman neural networks forecast hybrid model optimized Variational Mode Decomposition total electronic content

Abstract doi.org/10.14569/IJACSA.2022.0130759 PDF

60

Assaying the Statistics of Crime Against Women in India using Provenance and Machine Learning Models

Author 1: Geetika Bhardwaj Author 2: R. K. Bawa

Now-a-days, the surging of crime against women is occurring at a startling rate in India. According to the National Commission for Women, there was a 46% increase in reports of crimes against women in the initial months of the year 2021 in comparison with the same period in 2020. However… Read full abstract & cite →

Crime against women provenance scalar techniques machine learning techniques decision tree random forest gradient boosting XgBoost CatBoost LightGBM

Abstract doi.org/10.14569/IJACSA.2022.0130760 PDF

61

XBLQPS: An Extended Bengali Language Query Processing System for e-Healthcare Domain

Author 1: Kailash Pati Mandal Author 2: Prasenjit Mukherjee Author 3: Atanu Chattopadhyay Author 4: Baisakhi Chakraborty

The digital India program encourages Indian citizens to become conversant with e-services which are primarily English language-based services. However, the vast majority of the Indian population is comfortable with vernacular languages like Bengali, Assamese, Hindi, etc. The rural villagers are not able to interact with the Relational Database Management system… Read full abstract & cite →

Relational database management system (RDBMS) modified bengali WordNet LESK algorithm structured query language (SQL) natural language query

Abstract doi.org/10.14569/IJACSA.2022.0130761 PDF

62

MSDAR: Multi-Stage Dynamic Architecture Intrusion Detection System

Author 1: Ahmed M. ElShafee Author 2: Marianne A. Azer

Ad hoc networks have been through extensive research in the last decade. Even with their desirable characteristics, major issues related to their security need to be considered. Various security solutions have been proposed to reduce the risks of malicious actions. They mainly focus on key management, authentication, secure localization, and… Read full abstract & cite →

Ad hoc networks attacks DDoS intrusion detection security

Abstract doi.org/10.14569/IJACSA.2022.0130762 PDF

63

Data Collection Method for Energy Storage Device of Distributed Integrated Energy Station based on Double Decision Tree

Author 1: Hao Chen Author 2: Guilian Wu Author 3: Linyao Zhang Author 4: Jieyun Zheng

The distributed integrated energy station includes an electric energy storage device, heat storage device, cold storage device and other devices. Aiming at the problem of low data acquisition accuracy of energy storage device caused by using a single sensor or acquisition scheme in the existing methods, a new data acquisition… Read full abstract & cite →

Double decision tree distributed integrated energy station energy storage device data collection

Abstract doi.org/10.14569/IJACSA.2022.0130763 PDF

64

Reduced False Alarm for Forest Fires Detection and Monitoring using Fuzzy Logic Algorithm

Author 1: Maria Susan Anggreainy Author 2: Bimo Kurniawan Author 3: Felix Indra Kurniadi

The purpose of this research was to detect forest fires in efforts to minimize the incidence of false alarms. The research method used is divided into several stages, namely planning, analysis, design, implementation, testing, and maintenance. Arduino acts as a data collector on the field, which will later be used… Read full abstract & cite →

False alarm fuzzy logic forest fires detection sensor microcontroller

Abstract doi.org/10.14569/IJACSA.2022.0130764 PDF

65

Implementation of Gamification in Mathematics m-Learning Application to Creating Student Engagement

Author 1: Sufa Atin Author 2: Raihan Abdan Syakuran Author 3: Irawan Afrianto

Mathematics is one of the main subjects in school. In some schools, the learning methods used are still using conventional methods, namely lectures and exercises. The main difficulty in learning mathematics is how to make the material presented more interesting so that it does not make students bored and easy… Read full abstract & cite →

Gamification m-learning mathematics attention relevance confidence and satisfaction (ARCS) model octalysis framework student engagement

Abstract doi.org/10.14569/IJACSA.2022.0130765 PDF

66

Energy-based Collaborative Filtering Recommendation

Author 1: Tu Cam Thi Tran Author 2: Lan Phuong Phan Author 3: Hiep Xuan Huynh

The core value of the recommendation model is the using of the measures to measure the difference between the jumps (e.g. pearson), some other studies based on the magnitude of the angle in space (e.g. cosine), or some other studies study the level of confusion (e.g. entropy) between users and… Read full abstract & cite →

Energy distance energy model collaborative filtering recommendation system distance correlation incompatibility

Abstract doi.org/10.14569/IJACSA.2022.0130766 PDF

67

Grape Leaves Diseases Classification using Ensemble Learning and Transfer Learning

Author 1: Andrew Nader Author 2: Mohamed H.Khafagy Author 3: Shereen A. Hussien

Agriculture remains an important sector of the economy. Plant diseases and pests have a big impact on plant yield and quality. So, prevention and early detection of crop disease are some of the measures that must be implemented in farming to save the plants at an early stage and thereby… Read full abstract & cite →

Ensemble learning grape leaf diseases convolutional neural network (CNN) transfer learning

Abstract doi.org/10.14569/IJACSA.2022.0130767 PDF

68

An Extractive Text Summarization based on Candidate Summary Sentences using Fuzzy-Decision Tree

Author 1: Adhika Pramita Widyassari Author 2: Edy Noersasongko Author 3: Abdul Syukur Author 4: Affandy

This study aims to predict candidate summary sentences in extractive summary using the Fuzzy-Decision Tree method. The fuzzy method is quite superior and the most widely used in extractive summaries, because Fuzzy has advantages in calculations that are not cryptic, so it is able to calculate uncertain possibilities. However, in… Read full abstract & cite →

Text summarization extractive fuzzy decision tree

Abstract doi.org/10.14569/IJACSA.2022.0130768 PDF

69

Design and Implementation of ML Model for Early Diagnosis of Parkinson’s Disease using Gait Data Analysis in IoT Environment

Author 1: Navita Mehra Author 2: Pooja Mittal

Parkinson’s disease (PD) is the world’s second most neurodegenerative disorder that results in a steady loss of movement. The symptoms in patients occur slowly with the passage of time are and very hard to identify in its initial stage. So, early diagnosis of PD is the foremost need for timely… Read full abstract & cite →

Internet of things (IoT) sensors parkinson's disease (PD) machine learning (ML) vertical ground reaction force (VGRF)

Abstract doi.org/10.14569/IJACSA.2022.0130769 PDF

70

A Novel Methodology for Disease Identification Using Metaheuristic Algorithm and Aura Image

Author 1: Manjula Poojary Author 2: Yarramalle Srinivas

Every human has a specific Aura. Every organism in the human body emits energy comprising of Ultra Violet radiation, thermal radiation, and electromagnetic radiation. These energy levels help to underline the physical health inside the human body. In general, these energy levels are called Aura. In order to capture the… Read full abstract & cite →

Aura images BGMM image classification multiclass SVM artificial neural network

Abstract doi.org/10.14569/IJACSA.2022.0130770 PDF

71

Enhanced Gradient Boosting Machines Fusion based on the Pattern of Majority Voting for Automatic Epilepsy Detection

Author 1: Dwi Sunaryono Author 2: Riyanarto Sarno Author 3: Joko Siswantoro Author 4: Diana Purwitasari Author 5: Shoffi Izza Sabilla Author 6: Rahadian Indarto Susilo Author 7: Adam Abelard Garibaldi

Automatic detection of epilepsy based on EEG signals is one of the interesting fields to be developed in medicine to provide an alternative method for detecting epilepsy. High accuracy values are very important for accurate diagnosis in detecting epilepsy and avoid errors in diagnosing patients. Therefore, this study proposes the… Read full abstract & cite →

Epilepsy enhanced gradient boosting machine fusion electroencephalographic (EEG) signal discrete wavelet transform (DWT) discrete fourier tansform (DFT) genetic algorithm (GA)

Abstract doi.org/10.14569/IJACSA.2022.0130771 PDF

72

Intelligent Framework for Enhancing the Quality of Online Exams based on Students’ Personalization

Author 1: Ayman E. khedr Author 2: Abdulwahab Ali Almazroi Author 3: Amira M. Idrees

In education sector, personalization is an evolutionary term that gained a high attention due to its effectiveness in raising the enterprise competence level. This research aims at proposing a novel model for effective smart testing, which considers the student’s Facebook activities in determining the students’ personality and constructing his suitable… Read full abstract & cite →

Personalization data mining sentiment analysis social networks e-learning

Abstract doi.org/10.14569/IJACSA.2022.0130772 PDF

73

Churn Prediction Analysis by Combining Machine Learning Algorithms and Best Features Exploration

Author 1: Yasyn ELYUSUFI Author 2: M’hamed AIT KBIR

The market competition and the high cost of acquiring new customers have led financial organizations to focus more and more on effective customer retention strategies. Although the banking and financial sectors have low churn rates compared to other sectors, the impact on profitability related to losing a customer is comparatively… Read full abstract & cite →

Customer churn prediction machine learning

Abstract doi.org/10.14569/IJACSA.2022.0130773 PDF

74

Rider Driven African Vulture Optimization with Multi Kernel Structured Text Convolutional Neural Network for Classifying e-Commerce Reviews

Author 1: H. Mohamed Zakir Author 2: S. Vinila Jinny

Opinion mining is a natural language processing based on sentiment classification technique to determine the sentiment of the reviews. The major existing text Convolutional Neural Network (CNN) algorithms are derived based on 3×3 size kernels which extract ineffective review text-features and lead to less classification accuracy. Moreover, most of the… Read full abstract & cite →

Natural language processing opinion mining convolutional neural network text sentiment classification ecommerce review

Abstract doi.org/10.14569/IJACSA.2022.0130774 PDF

75

Comparison of Image Enhancement Algorithms for Improving the Visual Quality in Computer Vision Application

Author 1: Jenita Subash Author 2: Jharna Majumdar

Computer vision has its numerous real-world applications on Visual Object Tracking which includes human-computer interaction, autonomous vehicles, robotics, motion-based recognition, video indexing, surveillance and security, human-computer interaction, autonomous vehicles, robotics, motion-based recognition, video indexing, surveillance and security. The factors affecting the tracking process is due to low illumination, haze and… Read full abstract & cite →

Tracking robotics surveillance enhancement

Abstract doi.org/10.14569/IJACSA.2022.0130775 PDF

76

Effect of Feature Engineering Technique for Determining Vegetation Density

Author 1: Yuslena Sari Author 2: Yudi Firmanul Arifin Author 3: Novitasari Novitasari Author 4: Mohammad Reza Faisal

Vegetation density is one type of information collected from vegetation cover. Vegetation density influences evapotranspiration in terrain, which is essential in assessing how vulnerable peatlands are to fire. The Keetch and Byram Drought Index model, which evaluates peatland fire vulnerability, divides vegetation density into heavily grazed, softly grazed, and un-grazed… Read full abstract & cite →

Vegetation cover vegetation density feature extraction feature engineering accuracy

Abstract doi.org/10.14569/IJACSA.2022.0130776 PDF

77

Techno-pedagogical Solution to Support the Improvement of the Quality of Education in Technical and Vocational Training in Mauritania

Author 1: Cheikhane SEYED Author 2: Jeanne Roux NGO BILONG Author 3: Mohamed Ahmed SIDI Author 4: Mohamedade Farouk NANNE

E-learning is the most promising and fastest growing activity since the advent of the COVID-19 pandemic. Although the pandemic seems to have been eradicated in several countries of the world, it is worth mentioning that some positive cases of the covid-19 variant have been detected. This could accelerate the rate… Read full abstract & cite →

TVT STEM Mixed education Moodle WebRTC signaling system MCU DTLS SRTP

Abstract doi.org/10.14569/IJACSA.2022.0130777 PDF

78

Students’ Characteristics of Student Model in Intelligent Programming Tutor for Learning Programming: A Systematic Literature Review

Author 1: Rajermani Thinakaran Author 2: Suriayati Chuprat

This study describes preliminary results of a research related to Intelligent Programming Tutor (IPT) which is derived from Intelligent Tutoring System (ITS). The system architecture consists of four models. However, in this study student model mainly student characteristic was focused. From literature, 44 research articles were identified from a number… Read full abstract & cite →

Intelligent tutoring system intelligent programming tutor student characteristics student model

Abstract doi.org/10.14569/IJACSA.2022.0130778 PDF

79

News Analytics for Business Sentiment Suggestion

Author 1: Sirinda Palahan

Business and economics news has become one of the factors businesses consider when making decisions. However, the exponential increase in the availability of business information sources on the internet makes it more difficult for entrepreneurs to keep up with and extract useful insights from many news articles. Although many preceding… Read full abstract & cite →

Sentiment analysis deep learning pre-trained model natural language processing

Abstract doi.org/10.14569/IJACSA.2022.0130779 PDF

80

Sentiment Analysis using Term based Method for Customers’ Reviews in Amazon Product

Author 1: Thilageswari a/p Sinnasamy Author 2: Nilam Nur Amir Sjaif

Customers’ review in Amazon platform plays an important role for making online purchase decision making, however the reviews are snowballing in E-commerce day by day. The active sharing of customers’ experience and feedback helps to predict the products and retailers’ quality by using natural language processing. This paper will focus… Read full abstract & cite →

Sentiment analysis e-commerce term based n-gram

Abstract doi.org/10.14569/IJACSA.2022.0130780 PDF

81

An Iootfuzzer Method for Vulnerability Mining of Internet of Things Devices based on Binary Source Code and Feedback Fuzzing

Author 1: Guangxin Guo Author 2: Chao Wang Author 3: Jiahan Dong Author 4: Bowen Li Author 5: Xiaohu Wang

With the technological progress of the Internet and 5G communication network, more and more Internet of Things devices are used in it. Limited by the cost, power consumption and other factors of Internet of Things devices, the systems carried by the Internet of Things devices often lack the security protection… Read full abstract & cite →

Internet of things system vulnerabilities source code fuzz testing instrumentation technology

Abstract doi.org/10.14569/IJACSA.2022.0130781 PDF

82

Mobile Learning in Science Education to Improve Higher-Order Thinking Skills (HOTS) and Communication Skills: A Systematic Review

Author 1: Adilah Afikah Author 2: Sri Rejeki Dwi Astuti Author 3: Suyanta Suyanta Author 4: Jumadi Jumadi Author 5: Eli Rohaeti

Today, the increasing use of technology and mobile applications in education was interesting. This research was a systematic review study with limited 30 articles from 2012 to 2021. It aims to answer research questions about what mobile devices used in learning and what learning approaches are used in science learning… Read full abstract & cite →

Communication skills higher-order thinking skills mobile learning science education

Abstract doi.org/10.14569/IJACSA.2022.0130782 PDF

83

Superpixel Sizes using Topology Preserved Regular Superpixel Algorithm and their Impacts on Interactive Segmentation

Author 1: Kok Luong Goh Author 2: Soo See Chai Author 3: Giap Weng Ng Author 4: Muzaffar Hamzah

Interactive Image Segmentation is a type of semi-automated segmentation that uses user input to extract the object of interest. It is possible to speed up and improve the end result of segmentation by using pre-processing steps. The use of superpixels is an example of a pre-processing step. A superpixel is… Read full abstract & cite →

Image segmentation superpixel input type interactive segmentation

Abstract doi.org/10.14569/IJACSA.2022.0130783 PDF

84

Design of Intelligent Fusion Terminal System with Fog Computing Capability in Distribution Area based on Large Capacity CPU

Author 1: Ou Zhang Author 2: Songnan Liu Author 3: Hetian Ji Author 4: Xuefeng Wu Author 5: Xue Jiang

The intelligent fusion terminal in the distribution area usually adopts the mode of cooperation between the cloud and the edge, and the workload of manual operation and maintenance is large. Therefore, an intelligent fusion terminal system in the distribution area with fog computing capability based on a high-capacity CPU is… Read full abstract & cite →

Large-capacity CPU fog computing capability power distribution station area intelligent integration terminal system design

Abstract doi.org/10.14569/IJACSA.2022.0130784 PDF

85

A Blind Robust Image Watermarking on Selected DCT Coefficients for Copyright Protection

Author 1: Majid Rahardi Author 2: Ferian Fauzi Abdulloh Author 3: Wahyu Sukestyastama Putra

This paper proposes a blind and robust image watermarking technique using Discrete Cosine Transform (DCT) for copyright protection on color images called BRIW-DCT. Each channel of the host image is divided into non-overlapping image blocks with the size of 8×8 pixels. Each image block is transformed into a frequency domain… Read full abstract & cite →

Robust watermarking copyright protection discrete cosine transform frequency domain color image watermarking

Abstract doi.org/10.14569/IJACSA.2022.0130785 PDF

86

Feedback Model when Applying the Evaluation by Indicators in the Development of Competences through Problem based Learning in a Systems Engineering Course

Author 1: César Baluarte-Araya Author 2: Oscar Ramirez-Valdez

Feedback can be very influential in students' learning, therefore, the university must be very clear about its procedures and rules on the time lapse of the response of the work done by them, and the comments made to positively influence in a sustained manner in the evaluation of learning. The… Read full abstract & cite →

Problem based learning competencies evaluation criteria performance indicator deliverable report feedback report skills formative inquiry

Abstract doi.org/10.14569/IJACSA.2022.0130786 PDF

87

Development of Discrepancy Evaluation Model based on Tat Twam Asi with TOPSIS Calculation

Author 1: Dewa Gede Hendra Divayana Author 2: Agus Adiarta Author 3: P. Wayan Arta Suyasa

This research had the main objective to provide information related to the innovation available in the form of an educational evaluation model that integrates the Discrepancy evaluation component, Tat Twam Asi concept, and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method in the framework of determining the… Read full abstract & cite →

Discrepancy evaluation model tat twam asi TOPSIS

Abstract doi.org/10.14569/IJACSA.2022.0130787 PDF

88

Solving the Job Shop Scheduling Problem by the Multi-Hybridization of Swarm Intelligence Techniques

Author 1: Jebari Hakim Author 2: Siham Rekiek Author 3: Kamal Reklaoui

The industry is subject to strong competition, and customer requirements which are increasingly strong in terms of quality, cost, and deadlines. Consequently, the companies must improve their competitiveness. Scheduling is an essential tool for improving business performance. The production scheduling problem is usually an NP-hard problem, its resolution requires optimization… Read full abstract & cite →

Scheduling Job shop Multi-hybridization Swarm intelligence

Abstract doi.org/10.14569/IJACSA.2022.0130788 PDF

89

An IoT-based Fire Safety Management System for Educational Buildings: A Case Study

Author 1: Souad Kamel Author 2: Amani Jamal Author 3: Kaouther Omri Author 4: Mashael Khayyat

Safety is a serious concern that should be addressed carefully in different locations including homes, workplaces and educational buildings. The risk of fire is the most significant threat in many educational facilities such as schools, universities, offices, etc. The main goal of this work is developing an effective system that… Read full abstract & cite →

Safety fire Internet of Things (IoT) sensors cloud based platform ThingSpeak

Abstract doi.org/10.14569/IJACSA.2022.0130789 PDF

90

Structural Vetting of Academic Proposals

Author 1: Opeoluwa Iwashokun Author 2: Abejide Ade-Ibijola

Increasing postgraduate enrollments gives rise to many proposal documents required for vetting and human supervision. Reading and comprehension of large documents is a boring and somewhat difficult task for humans which can be delegated to machines. One way of assisting supervisors with this routine screening of academic proposals is to… Read full abstract & cite →

Document structure context free grammar post-graduate supervision artificial intelligence natural language pro-cessing

Abstract doi.org/10.14569/IJACSA.2022.0130790 PDF

91

Mobile Application Prototype: Learning in the Programming Course in Computer Engineering Students

Author 1: Lilian Ocares-Cunyarachi Author 2: Laberiano Andrade-Arenas

Students need to continue with the learning process related to the world of programming because today are in the era of technological globalization. Therefore, it is very important to learn about it, since programming is used in different areas and as a result obtain software, electronic devices, among others. seek… Read full abstract & cite →

Design thinking learning mobile application stu-dents programming

Abstract doi.org/10.14569/IJACSA.2022.0130791 PDF

92

Prediction of COVID-19 Patients Recovery using Ensemble Machine Learning and Vital Signs Data Collected by Novel Wearable Device

Author 1: Hasan K. Naji Author 2: Hayder K. Fatlawi Author 3: Ammar J. M. Karkar Author 4: Nicolae GOGA Author 5: Attila Kiss Author 6: Abdullah T. Al-Rawi

During the spread of a pandemic such as COVID- 19, the effort required of health institutions increases dra-matically. Generally, Health systems’ response and efficiency depend on monitoring vital signs such as blood oxygen level, heartbeat, and body temperature. At the same time, remote health monitoring and wearable health technologies have… Read full abstract & cite →

Machine learning COVID-19 wearable device

Abstract doi.org/10.14569/IJACSA.2022.0130792 PDF

93

Mobile Application Design: Sale of Clothes Through Electronic Commerce

Author 1: Raul Jauregui-Velarde Author 2: Franco Gonzalo Conde Arias Author 3: Jose Luis Herrera Salazar Author 4: Michael Cabanillas-Carbonell Author 5: Laberiano Andrade-Arenas

During the COVID-19 pandemic, small clothing sales companies lost economic income and customers due to a lack of digital transformation, causing the dismissal of many employees. Due to this problem, our objective is to design an e-commerce mobile application for the sale of clothes, so that Small and medium-sized enterprises… Read full abstract & cite →

Mobile application COVID-19 e-commerce RUP sale of clothes

Abstract doi.org/10.14569/IJACSA.2022.0130793 PDF

94

Comparative Analysis of Machine Learning Algorithms and Data Mining Techniques for Predicting the Existence of Heart Disease

Author 1: Nourah Alotaibi Author 2: Mona Alzahrani

Heart diseases are considered one of the leading causes of death globally over the world. They are difficult to be predicted by a specialist physician as it is not an easy task which requires greater knowledge and expertise for prediction. With the variety of machine learning and deep learning algorithms… Read full abstract & cite →

Heart disease feature selection feature extraction dimensionality reduction Chi-squared Naive Bayes Cleveland dataset

Abstract doi.org/10.14569/IJACSA.2022.0130794 PDF

95

Crop Field Monitoring and Disease Detection of Plants in Smart Agriculture using Internet of Things

Author 1: G. Balram Author 2: K. Kiran Kumar

The Internet of Things can be defined as the network of physical objects that have sensors, software, and other technologies built into them in order to communicate and exchange data with other systems and devices over the internet. In intelligent agricultural advancements to increase the quality of agriculture, the Internet… Read full abstract & cite →

Image acquisition segmentation feature extrac-tion Internet of Things plant disease

Abstract doi.org/10.14569/IJACSA.2022.0130795 PDF

96

Learning Global Average Attention Pooling (GAAP) on Resnet50 Backbone for Person Re-identification Problem

Author 1: Syamala Kanchimani Author 2: Maloji Suman Author 3: P. V. V. Kishore

Person re-identification has been an extremely chal-lenging task in computer vision which has been seen as a success with deep learning approaches. Despite successful models, there are gaps in the form of unbalanced labels, poor resolution, uncertain bounding box annotations, occlusions, and unlabelled datasets. Previous methods applied deep learning approaches… Read full abstract & cite →

Person re-identification attention network ResNet50 global average attention

Abstract doi.org/10.14569/IJACSA.2022.0130796 PDF

97

Towards a Richer IndoWordNet with New Additions for Hindi and Gujarati Languages

Author 1: Milind Kumar Audichya Author 2: Jatinderkumar R. Saini Author 3: Jatin C. Modh

The authors of this research paper present a mech-anism for dealing with loanwords, missing words, and newly de-veloped terms inclusion issues in WordNets. WordNet has evolved as one of the most prominent Natural Language Processing (NLP) toolkits. This mechanism can be used to improve the WordNet of any language. The… Read full abstract & cite →

Gujarati hindi indian language WordNet In-doWordNet loanwords WordNet

Abstract doi.org/10.14569/IJACSA.2022.0130797 PDF

98

Prediction of Diabetic Retinopathy using Convolutional Neural Networks

Author 1: Manal Alsuwat Author 2: Hana Alalawi Author 3: Shema Alhazmi Author 4: Sarah Al-Shareef

Diabetic retinopathy (DR) is among the most dan-gerous diabetic complications that can lead to lifelong blindness if left untreated. One of the essential difficulties in DR is early discovery, which is crucial for therapy progress. The accurate diagnosis of the DR stage is famously complicated and demands a skilled analysis… Read full abstract & cite →

CNN convolutional neural networks deep learn-ing transfer learning medical imaging diabetic retinopathy retina fundus images

Abstract doi.org/10.14569/IJACSA.2022.0130798 PDF

99

Real-time Egyptian License Plate Detection and Recognition using YOLO

Author 1: Ahmed Ramadan Youssef Author 2: Abdelmgeid Ameen Ali Author 3: Fawzya Ramadan Sayed

Automatic License Plate Detection and Recognition (ALPR) is one of the most significant technologies in intelligent transportation and surveillance across the world. It has many challenges because it affects by many parameters such as the country’s layout, colors, language, fonts, and several environmen-tal conditions so, there isn’t a consolidated ALPR… Read full abstract & cite →

Automatic license plate recognition Egyptian li-cense plate Tiny-YOLOV3 CNN eALPR dataset

Abstract doi.org/10.14569/IJACSA.2022.0130799 PDF

100

Building an Arabic Dialectal Diagnostic Dataset for Healthcare

Author 1: Jinane Mounsef Author 2: Maheen Hasib Author 3: Ali Raza

Accurate diagnosis of patient conditions becomes challenging for medical practitioners in urban metropolitan cities. A variety of languages and spoken dialects impedes the diagnosis achieved through the exploratory journey a medical practitioner and patient go through. Natural language processing has been used in well-known applications, such as Google Translate, as… Read full abstract & cite →

Dialectal Arabic (DA) healthcare diagnosis natu-ral language processing (NLP) multi-class labeling crowd sourc-ing

Abstract doi.org/10.14569/IJACSA.2022.01307100 PDF

101

Design of Higher-Dimensional Hyperchaotic System based on Combined Control and its Encryption Application

Author 1: Kun Zhao Author 2: Jianbin He

According to the anti-control principle of chaos, a combined control method is proposed based on a class of asymptotically stable linear systems with multiple controllers. A higher-dimensional hyperchaotic system is investigated by the Lyapunov exponents method and equilibrium points analysis, and it exists the largest number of positive Lyapunov exponents… Read full abstract & cite →

Hyperchaotic system positive lyapunov exponent chaotic pseudo-random sequence image encryption

Abstract doi.org/10.14569/IJACSA.2022.01307101 PDF

102

Exploring Regression-based Approach for Sound Event Detection in Noisy Environments

Author 1: Soham Dinesh Tiwari Author 2: Karanth Shyam Subraya

Sound-event detection enables machines to detect when a particular sound event has occurred in addition to classifying the type of event. Successful detection of various sound events is paramount in building secure surveillance systems and other smart home appliances. However, noisy events and environ-ments exacerbate the performance of many sound… Read full abstract & cite →

Sound Event Detection (SED) sound event clas-sification frequency dynamic convolution audio processing Fil-terAugment data augmentation vision transformers Pretrained Audio Neural Networks (PANN) Convolutional Block Attention Module (CBAM)

Abstract doi.org/10.14569/IJACSA.2022.01307102 PDF

103

An Efficient Parallel Algorithm for Clustering Big Data based on the Spark Framework

Author 1: Zineb Dafir Author 2: Said Slaoui

The principal objective of this paper is to provide a parallel implementation focused on the main steps of the parameter-free clustering algorithm based on K-means (PFK-means) using the Spark framework and a machine learning-based model to process Big Data. Thus, the process consists of parallelizing the main tasks of the… Read full abstract & cite →

Clustering big data spark parallel computing parallel K-means

Abstract doi.org/10.14569/IJACSA.2022.01307103 PDF

104

Development of a Low-Cost Teleoperated Explorer Robot (TXRob)

Author 1: Rafael Verano M Author 2: Jose Caceres S Author 3: Abel Arenas H Author 4: Andres Montoya A Author 5: Joseph Guevara M Author 6: Jarelh Galdos B Author 7: Jesus Talavera S

Natural disasters such as earthquakes or mudslides destroy everything in their path, causing buildings to collapse, which can cause people to lose their lives or suffer permanent injuries. Rescuers and firefighters are responsible for entering these ruined buildings, this work being very dangerous for them because they can get trapped… Read full abstract & cite →

Rescue robot teleoperation low cost robot artificial vision

Abstract doi.org/10.14569/IJACSA.2022.01307104 PDF

105

Automatic Tariff Classification System using Deep Learning

Author 1: German Cuaya-Simbro Author 2: Irving Hernandez-Vera Author 3: Elias Ruiz Author 4: Karina Gutierrez-Fragoso

The tariff fraction is the universal form of identi-fying a product. It is very useful because it helps to know the tariff that the product must pay when entering or leaving the country, in this case Mexico. Coffee is a complicated product to identify correctly due to its variants, which… Read full abstract & cite →

Machine learning digital image processing automation process

Abstract doi.org/10.14569/IJACSA.2022.01307105 PDF

106

Fake News Detection in Social Media based on Multi-Modal Multi-Task Learning

Author 1: Xinyu Cui Author 2: Yang Li

The popularity of social media has led to a substantial increase of data. The task of fake news detection is very important, because the authenticity of posts cannot be guaranteed. In recent years, fake news detection combining multimodal information such as images and videos has attracted wide attention from scholars… Read full abstract & cite →

Multi-modal fake news multi-task learning external evidences multi-level attention mechanism

Abstract doi.org/10.14569/IJACSA.2022.01307106 PDF

107

A Model Driven Approach for Unifying user Interfaces Development

Author 1: Henoc Soude Author 2: Kefil Koussonda

In this paper, we dealt with the rapid development of client web applications (frontend) in a context where development frameworks are legion. In effect with the digital transformation due to the COVID-19 pandemic we are witnessing an ever-increasing demand of the application development in a relatively short time. To this… Read full abstract & cite →

Model driven user interface modeling language templating language low code citizen developer

Abstract doi.org/10.14569/IJACSA.2022.01307107 PDF

108

Acceptance of YouTube for Islamic Information Acquisition: A Multi-group Analysis of Students’Academic Discipline

Author 1: M. S Ishak Author 2: A Sarkowi Author 3: M. F Mustaffa Author 4: R Mustapha

YouTube has been recognized as an important information source for the millennial generation. This paper aims to identify the factors affecting Malaysian higher education students’ acceptance of YouTube for Islamic information acquisition and to investigate if any notable distinction that exists between the students’ path coefficients in Islamic academic discipline… Read full abstract & cite →

Unified Theory of Acceptance and Use of Technology (UTAUT) YouTube information acquisition student knowledge Partial Least Square

Abstract doi.org/10.14569/IJACSA.2022.01307108 PDF