Facebook pixel tracking

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

Contact Info
Email info@thesai.org
Website thesai.org
Follow Us
Contact Info
Email info@thesai.org
Follow Us

IJACSA Vol. 13 Issue 9 (2022)

Open Access | | 121 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.

Download Full Issue
1

ModER: Graph-based Unsupervised Entity Resolution using Composite Modularity Optimization and Locality Sensitive Hashing

Author 1: Islam Akef Ebeid Author 2: John R. Talburt Author 3: Nicholas Kofi Akortia Hagan Author 4: Md Abdus Salam Siddique

Entity resolution describes techniques used to identify documents or records that might not be duplicated; nevertheless, they might refer to the same entity. Here we study the problem of unsupervised entity resolution. Current methods rely on human input by setting multiple thresholds prior to execution. Some methods also rely on… Read full abstract & cite →

Entity resolution data curation database graph theory natural language processing
Abstract doi.org/10.14569/IJACSA.2022.0130901 PDF
2

Remote International Collaboration in Scientific Research Teams for Technology Development

Author 1: Sarah Janböcke Author 2: Toshimi Ogawa Author 3: Koki Kobayashi Author 4: Ryan Browne Author 5: Yasuki Taki Author 6: Rainer Wieching Author 7: Johanna Langendorf

Scientific research teams often find themselves in remote working situations due to their internationality. Incredibly complex technological projects demand close collaboration and knowledge-sharing management. Remote teamwork, especially in cutting-edge scientific technology development, comes with various challenges that can negatively influence the overall team performance and commitment to the project. Within… Read full abstract & cite →

Teamwork technology development international collaboration scientific team performance potential technology leverage scientific commitment team efficiency team commitment team performance collaboration
Abstract doi.org/10.14569/IJACSA.2022.0130902 PDF
3

Fuzzy Image Enhancement Method based on a New Intensifier Operator

Author 1: Libao Yang Author 2: Suzelawati Zenian Author 3: Rozaimi Zakaria

In recent years, fuzzy image enhancement methods have been widely applied in image enhancement, which generally consists of three steps: fuzzification, modify membership(using intensifier (INT) operator), and defuzzification. This paper proposed a new INT operator used in fuzzy image enhancement. The INT operator is adjustable for different test images. The… Read full abstract & cite →

Image enhancement intensifier operator threshold pivotal point
Abstract doi.org/10.14569/IJACSA.2022.0130903 PDF
4

Cooperative Multi-Robot Hierarchical Reinforcement Learning

Author 1: Gembong Edhi Setyawan Author 2: Pitoyo Hartono Author 3: Hideyuki Sawada

Recent advances in multi-robot deep reinforcement learning have made it possible to perform efficient exploration in problem space, but it remains a significant challenge in many complex domains. To alleviate this problem, a hierarchical approach has been designed in which agents can operate at many levels to complete tasks more… Read full abstract & cite →

Multi-robot system hierarchical deep reinforcement learning path-finding task decomposition
Abstract doi.org/10.14569/IJACSA.2022.0130904 PDF
5

Differential Privacy Technology of Big Data Information Security based on ACA-DMLP

Author 1: Yubiao Han Author 2: Lei Wang Author 3: Dianhong He

Cloud computing and artificial intelligence have a deeper and closer connection with daily life. To ensure information security, most companies or individuals choose to pay a simple fee to store a large amount of data on cloud servers and hand over a large number of complex calculations of machine learning… Read full abstract & cite →

Big data cloud computing information security distributed machine learning differential privacy algorithms
Abstract doi.org/10.14569/IJACSA.2022.0130905 PDF
6

A Reusable Product Line Asset in Smart Mobile Application: A Systematic Literature Review

Author 1: Nan Pepin Author 2: Abdul S. Shibghatullah Author 3: Kasthuri Subaramaniam Author 4: Rabatul Aduni Sulaiman Author 5: Zuraida A. Abas Author 6: Samer Sarsam

A reusable product line asset is a product or asset that can be reused for different purposes including charity. Smart mobile applications are one of several communication and information methods used in charitable activities. Web, mobile, or hybrid platforms can be used to develop charity applications. It takes design and… Read full abstract & cite →

Application charity donation reusable product line systematic literature review
Abstract doi.org/10.14569/IJACSA.2022.0130906 PDF
7

A Study on the Effect of Digital Fabrication in Social Studies Education

Author 1: Kazunari Hirakoso Author 2: Hidetake Hamada

One of the learning methods that is increasingly being practiced in primary and secondary education is inquiry-based learning. This is not just a class to teach knowledge, but to practice activities to search for and discern the significance and essence of things. In social studies education, various trials and errors… Read full abstract & cite →

Digital fabrication 3D educational materials self-learning Program social studies STEAM education
Abstract doi.org/10.14569/IJACSA.2022.0130907 PDF
8

A Blockchain-based Model for Securing IoT Transactions in a Healthcare Environment

Author 1: Mohamed Abdel Kader Mohamed Elgendy Author 2: Mohamed Aborizka Author 3: Ali Mohamed Nabil Allam

A blockchain is a data structure that is implemented as a distrusted database or digital ledger. The transactions are saved to a block of transactions that is attached in turn to the blockchain after the verification process, in which each block in the chain contains a hash signature of the… Read full abstract & cite →

Blockchain ethereum electronic medical records (EMR) ioi secure transactions smart contracts proof-of-work
Abstract doi.org/10.14569/IJACSA.2022.0130908 PDF
9

Study on Early Warning on the Financial Risk of Project Venture Capital through a Neural Network Model

Author 1: Xianjuan Li

This paper aims to effectively reduce the financial loss of enterprises by accurately and reasonably making early warning of investment project risks. This paper briefly introduced the index system used for investment project risk early warning. It constructed a project investment risk early-warning model with a back-propagation neural network (BPNN)… Read full abstract & cite →

Neural network project investment early risk warning genetic algorithm
Abstract doi.org/10.14569/IJACSA.2022.0130909 PDF
10

Improving Privacy Preservation Approach for Healthcare Data using Frequency Distribution of Delicate Information

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

In the modern world, everyone wishes that their personal information wouldn't be made public in any manner. In order to keep personal information hidden from prying eyes, privacy protection is essential. The data may be in the form of big data and minimization of risk and protection of sensitive data… Read full abstract & cite →

Privacy preservation approach quasi identifier distribution block frequency distribution block big data anonymization
Abstract doi.org/10.14569/IJACSA.2022.0130910 PDF
11

Attention-based Long Short Term Memory Model for DNA Damage Prediction in Mammalian Cells

Author 1: Mohammad A. Alsharaiah Author 2: Laith H. Baniata Author 3: Omar Adwan Author 4: Ahmad Adel Abu-Shareha Author 5: Mosleh Abu Alhaj Author 6: Qasem Kharma Author 7: Abdelrahman Hussein Author 8: Orieb Abualghanam Author 9: Nabeel Alassaf Author 10: Mohammad Baniata

The understanding of DNA damage intensity – concentration-level is critical for biological and biomedical research, such as cellular homeostasis, tumor suppression, immunity, and gametogenesis. Therefore, recognizing and quantifying DNA damage intensity levels is a substantial issue, which requires further robust and effective approaches. DNA damage has several intensity levels. These… Read full abstract & cite →

Mammalian cell deep learning techniques attention LSTM classification DNA damage
Abstract doi.org/10.14569/IJACSA.2022.0130911 PDF
12

Estimation of Recovery Percentage in Gravimetric Concentration Processes using an Artificial Neural Network Model

Author 1: Manuel Alejandro Ospina-Alarcón Author 2: Ismael E. Rivera-M Author 3: Gabriel Elías Chanchí-Golondrino

The concentrate process is the most sensitive in mineral processing plants (MPP), and the optimization of the process based on intelligent computational models (machine learning for recovery percentage modelling) can offer significant savings for the plant. Recent theoretical developments have revealed that many of the parameters commonly assumed as constants… Read full abstract & cite →

Empirical modeling dynamic gravimetric concentration model gravimetric concentration machine learning for recovery percentage modelling mineral processing
Abstract doi.org/10.14569/IJACSA.2022.0130912 PDF
13

Risk Prediction Applied to Global Software Development using Machine Learning Methods

Author 1: Hossam Hassan Author 2: Manal A. Abdel-Fattah Author 3: Amr Ghoneim

Software companies aim to develop high-quality software projects with the best global resources at the best cost. To achieve this global software development (GSD), an approach should be used which adopts work on projects across multiple distributed locations, and this is also known as distributed development. When companies attempt to… Read full abstract & cite →

Global software development distributed development risk prediction model machine learning
Abstract doi.org/10.14569/IJACSA.2022.0130913 PDF
14

HelaNER 2.0: A Novel Deep Neural Model for Named Entity Boundary Detection

Author 1: Y. H. P. P Priyadarshana Author 2: L Ranathunga

Named entity recognition (NER) is a sequential labelling task in categorizing textual nuggets into specific types. Named entity boundary detection can be recognized as a prominent research area under the NER domain which has been heavily adapted for information extraction, event extraction, information retrieval, sentiment analysis etc. Named entities (NE)… Read full abstract & cite →

Computational linguistics deep neural networks natural language processing named entity boundary detection named entity recognition
Abstract doi.org/10.14569/IJACSA.2022.0130914 PDF
15

Face Recognition under Illumination based on Optimized Neural Network

Author 1: Napa Lakshmi Author 2: Megha P Arakeri

Face recognition is a significant area of pattern recognition and computer vision research. Illumination in face recognition is obvious yet challenging task in pattern matching. Recent researchers introduced machine learning algorithms to solve illumination problems in both indoor and outdoor scenarios. The major challenge in machine learning is the lack… Read full abstract & cite →

Face recognition illumination neural network robust principal component analysis
Abstract doi.org/10.14569/IJACSA.2022.0130915 PDF
16

Transfer Learning for Medicinal Plant Leaves Recognition: A Comparison with and without a Fine-Tuning Strategy

Author 1: Vina Ayumi Author 2: Ermatita Ermatita Author 3: Abdiansah Abdiansah Author 4: Handrie Noprisson Author 5: Yuwan Jumaryadi Author 6: Mariana Purba Author 7: Marissa Utami Author 8: Erwin Dwika Putra

Plant leaves are another common source of information for determining plant species. According to the dataset that has been collected, we propose transfer learning models VGG16, VGG19, and MobileNetV2 to examine the distinguishing features to identify medicinal plant leaves. We also improved algorithm using fine-tuning strategy and analyzed a comparison… Read full abstract & cite →

Medicinal leaf plant transfer learning deep learning phytomedicine
Abstract doi.org/10.14569/IJACSA.2022.0130916 PDF
17

Effect of Random Splitting and Cross Validation for Indonesian Opinion Mining using Machine Learning Approach

Author 1: Mariana Purba Author 2: Ermatita Ermatita Author 3: Abdiansah Abdiansah Author 4: Handrie Noprisson Author 5: Vina Ayumi Author 6: Hadiguna Setiawan Author 7: Umniy Salamah Author 8: Yadi Yadi

Opinion mining has been a prominent topic of research in Indonesia, however there are still many unanswered questions. The majority of past research has been on machine learning methods and models. A comparison of the effects of random splitting and cross-validation on processing performance is required. Text data is in… Read full abstract & cite →

Random splitting cross validation machine learning Indonesian text
Abstract doi.org/10.14569/IJACSA.2022.0130917 PDF
18

Classification of Diabetes Types using Machine Learning

Author 1: Oyeranmi Adigun Author 2: Folasade Okikiola Author 3: Nureni Yekini Author 4: Ronke Babatunde

Machine learning algorithms have aided health workers (including doctors) in the processing, analysis, and diagnosis of medical problems, as well as the detection of disease patterns and other patient data. Diabetes mellitus (DM), commonly referred to as diabetes, is a gathering of a syndrome issue that is portrayed by high… Read full abstract & cite →

Machine learning diabetes mellitus predictive algorithm correlation map confusion matrix
Abstract doi.org/10.14569/IJACSA.2022.0130918 PDF
19

Criteria and Guideline for Dyslexic Intervention Games

Author 1: Noraziah ChePa Author 2: Nur Azzah Abu Bakar Author 3: Laura Lim Sie-Yi

The utilization of game-based interventions is growing as a result of technological advancements, and it has shown to be effective in the treatment of dyslexia and other medical conditions. Games are typically viewed as activities having the essential components of challenge, incentive, and reward. Games were originally created for pleasure… Read full abstract & cite →

Dyslexic therapy games game-based intervention specific learning disorder guideline for dyslexia games dyslexia intervention
Abstract doi.org/10.14569/IJACSA.2022.0130919 PDF
20

The Effectiveness of Gamification for Students' Engagement in Technical and Vocational Education and Training

Author 1: Laily Abu Samah Author 2: Amirah Ismail Author 3: Mohammad Kamrul Hasan

The transformation of Technical and Vocational Education and Training (TVET) prioritizes by the national education convention to meet the needs of the industry through improving student skills and the quality of related systems. One of the transformations is practicing blended learning, such as a flipped classroom, to produce better quality… Read full abstract & cite →

Technical and vocational education and training (TVET) flipped classroom engagement gamification mobile application
Abstract doi.org/10.14569/IJACSA.2022.0130920 PDF
21

Campus Quality of Services Analysis of Mobile Wireless Communications Network Signal among Providers in Malaysia

Author 1: Murizah Kassim Author 2: Zulfadhli Hisam Author 3: Mohd Nazri Ismail

Wireless communication is very important in this generation where todays 5G internet connection is still unconfirmed and 4G communication is still needed. Network in Malaysia has been supported by many telecommunication companies and the Quality of Services is still poor supported especially in the campus area. This research presents a… Read full abstract & cite →

Quality of services 4G/LTE mobile network wireless communication RSRP campus network
Abstract doi.org/10.14569/IJACSA.2022.0130921 PDF
22

Exploring Alumni Data using Data Visualization Techniques

Author 1: Nurhanani Izzati Ismail Author 2: Nur Atiqah Sia Abdullah Author 3: Nasiroh Omar

Alumni data are mostly managed through paper-based and word file. With lots of alumni graduating each year, these massive data become difficult to handle. It is hard to look for past alumni data to know their current situation. Since the data is kept conventionally, there is no communication between the… Read full abstract & cite →

Alumni descriptive analysis diagnostic analysis data visualization exploratory dashboard
Abstract doi.org/10.14569/IJACSA.2022.0130922 PDF
23

The Performance Evaluation of Transfer Learning VGG16 Algorithm on Various Chest X-ray Imaging Datasets for COVID-19 Classification

Author 1: Andi Sunyoto Author 2: Yoga Pristyanto Author 3: Arief Setyanto Author 4: Fawaz Alarfaj Author 5: Naif Almusallam Author 6: Mohammed Alreshoodi

Early detection of the coronavirus (COVID-19) disease is essential in order to contain the spread of the virus and provide effective treatment. Chest X-rays could be used to detect COVID-19 at an early stage. However, the pathological features of COVID-19 on chest X-rays closely resemble those caused by other viruses… Read full abstract & cite →

Covid-19 Chest X-Ray CNN transfer learning VGG-16
Abstract doi.org/10.14569/IJACSA.2022.0130923 PDF
24

A Comprehensive Review and Application of Interpretable Deep Learning Model for ADR Prediction

Author 1: Shiksha Alok Dubey Author 2: Anala A. Pandit

Drug safety is a pressing need in today's healthcare. Minimizing drug toxicity and improving the individual’s health and society is the key objective of the healthcare domain. Drugs are clinically tested in laboratories before marketing as medicines. However, the unintended and harmful effects of drugs are called Adverse Drug Reactions… Read full abstract & cite →

Drug safety adverse drug reactions early detection deep learning interpretable models
Abstract doi.org/10.14569/IJACSA.2022.0130924 PDF
25

Secure Cloud Connected Indoor Hydroponic System via Multi-factor Authentication

Author 1: Mohamad Khairul Hafizi Rahimi Author 2: Mohamad Hanif Md Saad Author 3: Aini Hussain Author 4: Nurul Maisarah Hamdan

Now-a-days, the hydroponic farming system with the Internet of Things (IoT) technology is increasingly becoming a trend for researchers to produce a more capable farming device or remote monitoring system. However, this intelligent system is not controlled securely and will be dangerous when system hacking occurs. Therefore, developing a secure… Read full abstract & cite →

Internet of things intelligent system remote monitoring hydroponic multi-factor authentication
Abstract doi.org/10.14569/IJACSA.2022.0130925 PDF
26

Effective Multitier Network Model for MRI Brain Disease Prediction using Learning Approaches

Author 1: N. Ravinder Author 2: Moulana Mohammed

Brain disease prognosis is considered a hot research topic where the researchers intend to predict the clinical measures of individuals using MRI data to evaluate the pathological stage and identifies the progression of the disease. With the lack of incomplete clinical scores, various existing learning-based approaches simply eradicate the score… Read full abstract & cite →

Brain disease learning approaches ground truth value feature learning global and local feature analysis
Abstract doi.org/10.14569/IJACSA.2022.0130926 PDF
27

Application based on Hybrid CNN-SVM and PCA-SVM Approaches for Classification of Cocoa Beans

Author 1: AYIKPA Kacoutchy Jean Author 2: MAMADOU Diarra Author 3: BALLO Abou Bakary Author 4: GOUTON Pierre Author 5: ADOU Kablan Jérôme

In our study, we propose a hybrid Convolutional Neural Network with Support Vector Machine (CNN-SVM) and Principal Component Analysis with support vector machine (PCA-SVM) methods for the classification of cocoa beans obtained by the fermentation of beans collected from cocoa pods after harvest. We also use a convolutional neural network… Read full abstract & cite →

Support vector machine convolutional neural network cocoa beans principal component analysis hybrid method
Abstract doi.org/10.14569/IJACSA.2022.0130927 PDF
28

SQrum: An Improved Method of Scrum

Author 1: Najihi Soukaina Author 2: Merzouk Soukaina Author 3: Marzak Abdelaziz

Software systems are having a major impact on many aspects of personal and professional life. Safety-critical applications, such as production line controls, automotive operations, and process industry controls, rely significantly on software systems. In these applications, software failure may result in bodily damage or death. The proper operation of software… Read full abstract & cite →

Agile project management IT OMG meta-object facility MOF metamodel scrum SQrum quality assurance QA quality management QM software development project
Abstract doi.org/10.14569/IJACSA.2022.0130928 PDF
29

Use of Interactive Multimedia e-Learning in TVET Education

Author 1: Siti Fadzilah Mat Noor Author 2: Hazura Mohamed Author 3: Nur Atiqah Zaini Author 4: Dayana Daiman

Malaysia is focused on the development and use of technologies among consumers. Thus, technological innovations are used in the adaptation of online learning to educate students, as well as to enhance the teaching and learning process in Technical and Vocational Education and Training (TVET) institutions. There is a need to… Read full abstract & cite →

e-Learning interactive multimedia learning style user experience
Abstract doi.org/10.14569/IJACSA.2022.0130929 PDF
30

CBT4Depression: A Cognitive Behaviour Therapy (CBT) Therapeutic Game to Reduce Depression Level among Adolescents

Author 1: Norhana Yusof Author 2: Nazrul Azha Mohamed Shaari Author 3: Eizwan Hamdie Yusoff

Dropping out of depression treatment commonly occurs in the current psychotherapy treatment. Adolescents often find it difficult to express their thoughts and feelings clearly due to their developmental constraints. They also have trouble realising their behaviours as unhealthy or problematic. The use of therapeutic games in depression treatment among adolescents… Read full abstract & cite →

Therapeutic game depression adolescents cognitive behavior therapy
Abstract doi.org/10.14569/IJACSA.2022.0130930 PDF
31

Creating Video Visual Storyboard with Static Video Summarization using Fractional Energy of Orthogonal Transforms

Author 1: Ashvini Tonge Author 2: Sudeep D. Thepade

The overwhelming number of video uploads and downloads has made it incredibly difficult to find, gather, and archive videos. A static video summarization technique highlights an original video's significant points through a set of static keyframes as a video visual storyboard. The video visual storyboards are created as static video… Read full abstract & cite →

Keyframe orthogonal transform VSUMM video visual storyboard video summarization
Abstract doi.org/10.14569/IJACSA.2022.0130931 PDF
32

Denoising of Impulse Noise using Partition-Supported Median, Interpolation and DWT in Dental X-Ray Images

Author 1: Mohamed Shajahan Author 2: Siti Armiza Mohd Aris Author 3: Sahnius Usman Author 4: Norliza Mohd Noor

The impulse noise often damages the human dental X-Ray images, leading to improper dental diagnosis. Hence, impulse noise removal in dental images is essential for a better subjective evaluation of human teeth. The existing denoising methods suffer from less restoration performance and less capacity to handle massive noise levels. This… Read full abstract & cite →

Salt and pepper noise impulse noise X-ray noise removal X-ray teeth image quality enhancement dental X-ray noise reduction
Abstract doi.org/10.14569/IJACSA.2022.0130932 PDF
33

An End-to-End Big Data Deduplication Framework based on Online Continuous Learning

Author 1: Widad Elouataoui Author 2: Imane El Alaoui Author 3: Saida El Mendili Author 4: Youssef Gahi

While big data benefits are numerous, most of the collected data is of poor quality and, therefore, cannot be effectively used as it is. One of the leading big data quality challenges is data duplication. Indeed, the gathered big data are usually messy and may contain duplicated records. The process… Read full abstract & cite →

Big data deduplication online continual learning big data entity resolution record linkage duplicates detection
Abstract doi.org/10.14569/IJACSA.2022.0130933 PDF
34

Student’s Performance Prediction based on Personality Traits and Intelligence Quotient using Machine Learning

Author 1: Samar El-Keiey Author 2: Dina ElMenshawy Author 3: Ehab Hassanein

Apparently, most life activities that people perform depend on their unique characteristics. Personal characteristics vary across people, so they perform tasks in different ways based on their skills. People have different mental, psychological, and behavioral features that affect most life activities. This is the same case with students at various… Read full abstract & cite →

Prediction student performance machine learning personality intelligence quotient
Abstract doi.org/10.14569/IJACSA.2022.0130934 PDF
35

Real Time Fire Detection using Color Probability Segmentation and DenseNet Model for Classifier

Author 1: Faisal Dharma Adhinata Author 2: Nur Ghaniaviyanto Ramadhan

The forest is an outdoor environment not touched by the surrounding community, so it is not immediately handled when a fire occurs. Therefore, surveillance using cameras is needed to see the presence of fire hotspots in the forest. This study aims to detect hotspots through video data. As is known… Read full abstract & cite →

Fire detection color segmentation GMM-EM DenseNet real time
Abstract doi.org/10.14569/IJACSA.2022.0130935 PDF
36

Tissue and Tumor Epithelium Classification using Fine-tuned Deep CNN Models

Author 1: Anju T E Author 2: S. Vimala

The field of Digital Pathology (DP) has become more interested in automated tissue phenotyping in recent years. Tissue phenotyping may be used to identify colorectal cancer (CRC) and distinguish various cancer types. The information needed to construct automated tissue phenotyping systems has been made available by the introduction of Whole… Read full abstract & cite →

Colorectal cancer deep learning CNN tumor epithelium Alexnet GoogLeNet Inceptionv3
Abstract doi.org/10.14569/IJACSA.2022.0130936 PDF
37

Predicting University Student Retention using Artificial Intelligence

Author 1: Samer M. Arqawi Author 2: Eman Akef Zitawi Author 3: Anees Husni Rabaya Author 4: Basem S. Abunasser Author 5: Samy S. Abu-Naser

Based on the advancement in the field of Artificial Intelligence, there is still a room for enhancement of student university retention. The main objective of this study is to assess the probability of using Artificial Intelligence techniques such as deep and machine learning procedures to predict university student retention. In… Read full abstract & cite →

Artificial intelligence machine learning deep learning retention student prediction
Abstract doi.org/10.14569/IJACSA.2022.0130937 PDF
38

Using the Agglomerative Hierarchical Clustering Method to Examine Human Factors in Indonesian Aviation Accidents

Author 1: Rossi Passarella Author 2: Gulfi Oktariani Author 3: Dedy Kurniawan Author 4: Purwita Sari

This study aims to provide a comprehensive source of knowledge regarding aviation accidents in Indonesia caused by human factors, which are the most significant among other causative elements, requiring a detailed assessment of the accident as a result of pilot and co-pilot faults while operating the aircraft. The KNKT website… Read full abstract & cite →

Aviation accidents data pilot’s licenses flying hours human factor
Abstract doi.org/10.14569/IJACSA.2022.0130938 PDF
39

A Framework for Crime Detection and Diminution in Digital Forensics (CD3F)

Author 1: Arpita Singh Author 2: Sanjay K. Singh Author 3: Hari Kiran Vege Author 4: Nilu Singh

Cyber-attacks have become one of the world's most serious issues. Every day, they wreak serious financial harm to governments and people. As cyber-attacks become more common, so does cyber-crime. Identifying cyber-crime perpetrators and understanding attack tactics are critical in the battle against crime and criminals. Cyber-attack detection and prevention are… Read full abstract & cite →

Cyber-crime digital forensics digital evidence data analysis security and privacy cyber-attack
Abstract doi.org/10.14569/IJACSA.2022.0130939 PDF
40

Deep Learning and Classification Algorithms for COVID-19 Detection

Author 1: Mohammed Sidheeque Author 2: P. Sumathy Author 3: Abdul Gafur. M

The imaging modalities of chest X-rays and computed tomography (CT) are commonly utilized to quickly and accurately diagnose COVID-19. Due to time and human error, it is exceedingly difficult to manually identify the infection using radio imaging. COVID-19 identification is being mechanized and improved with the use of artificial intelligence… Read full abstract & cite →

Deep Learning COVID-19 classification artificial intelligence
Abstract doi.org/10.14569/IJACSA.2022.0130940 PDF
41

Gamification on OTT Platforms: A Behavioural Study for User Engagement

Author 1: Komal Suryavanshi Author 2: Prasun Gahlot Author 3: Surya Bahadur Thapa Author 4: Aradhana Gandhi Author 5: Ramakrishnan Raman

This study examines the consumer’s visual attention toward gamification options while watching the OTT (Over-the-top) online content. Also, the impact of gamification on user engagement (UE) on the OTT platform was studied using data collected by conducting an eye-tracking experiment and subsequently using a user engagement scale (UES). The study… Read full abstract & cite →

Gamification user engagement eye-tracking OTT (Over-the-top) reward visual attention
Abstract doi.org/10.14569/IJACSA.2022.0130941 PDF
42

Optimally Allocating Ambulances in Delhi using Mutation based Shuffled Frog Leaping Algorithm

Author 1: Zaheeruddin Author 2: Hina Gupta

This paper presents a reliable and competent evolutionary-based approach for improving the response time of Emergency Medical Service (EMS) by efficiently allocating ambulances at the base stations. As the prime objective of EMS is to save people's lives by providing them with timely assistance, thus increasing the chances of a… Read full abstract & cite →

Ambulance allocation ambulance service emergency medical service shuffled frog leaping algorithm mutation based shuffled frog leaping algorithm
Abstract doi.org/10.14569/IJACSA.2022.0130942 PDF
43

Adopting a Digital Transformation in Moroccan Research Structure using a Knowledge Management System: Case of a Research Laboratory

Author 1: Fatima-Ezzahra AIT-BENNACER Author 2: Abdessadek AAROUD Author 3: Khalid AKODADI Author 4: Bouchaib CHERRADI

Digital Transformation has become one of the most discussed debates; many sectors have adopted digital transformation to gain a competitive advantage and to ensure their continuity. Moroccan universities, in their turn, are facing strategic and managerial challenges due to emerging practices related to digital transformation. To address this issue, the… Read full abstract & cite →

Business process re-engineering digital transformation knowledge management system Moroccan research laboratory total quality management
Abstract doi.org/10.14569/IJACSA.2022.0130943 PDF
44

Analyzing the Relationship between the Personality Traits and Drug Consumption (Month-based user Definition) using Rough Sets Theory

Author 1: Manasik M. Nour Author 2: H. A. Mohamed Author 3: Sumayyah I. Alshber

There is no doubt that the use of drugs has significant consequences for society, it introduces risk into the human life and causing earlier mortality and morbidity. Being a conscientious member of society, we must go ahead to prevent these young minds from life-threatening addiction. Owing to the computational complexity… Read full abstract & cite →

Classification personality traits five factor model rules extraction drug abuse detection rough sets theory feature selection
Abstract doi.org/10.14569/IJACSA.2022.0130944 PDF
45

Wavelet Multi Resolution Analysis based Data Hiding with Scanned Secrete Images

Author 1: Kohei Arai

Wavelet Multi Resolution Analysis (MRA) based data hiding with scanned secrete images is proposed for improvement of invisibility of the secrete images. Daubechies (biorthogonal basis was adopted as the wavelet, but it was demonstrated that the key image (or secret image data) information can be restored with the biorthogonal wavelet… Read full abstract & cite →

Multi-Dimensional wavelet transformation multi resolution analysis: MRA image data hiding scanned secrete image Daubechies basis function invisibility
Abstract doi.org/10.14569/IJACSA.2022.0130945 PDF
46

Multiple Eye Disease Detection using Hybrid Adaptive Mutation Swarm Optimization and RNN

Author 1: P. Glaret Subin Author 2: P. Muthu Kannan

The major cause of visual impairment in aged people is due to age related eye diseases such as cataract, diabetic retinopathy, and glaucoma. Early detection of eye diseases is necessary for better diagnosis. This paper concentrates on the early identification of various eye disorders such as cataract, diabetic retinopathy, and… Read full abstract & cite →

Adaptive mutation swarm optimization fundus image feature extraction RNN classifier standard deviation
Abstract doi.org/10.14569/IJACSA.2022.0130946 PDF
47

Insect Pest Image Detection and Classification using Deep Learning

Author 1: Niranjan C Kundur Author 2: P B Mallikarjuna

Farmers' primary concern is to reduce crop loss because of pests and diseases, which occur irrespective of the cultivation process used. Worldwide more than 40% of the agricultural output is lost due to plant pathogens, insects, and weed pests. Earlier farmers relied on agricultural experts to detect pests. Recently Deep… Read full abstract & cite →

Deep learning faster RCNN insect pest detection IP102 dataset efficient net
Abstract doi.org/10.14569/IJACSA.2022.0130947 PDF
48

Analysis of Noise Removal Techniques on Retinal Optical Coherence Tomography Images

Author 1: T. M. Sheeba Author 2: S. Albert Antony Raj

In the biomedical field, automatic disease detection by image processing has become the norm in the current days. For early illness detection, ophthalmologists have explored a variety of invasive and noninvasive procedures. Optical Coherence Tomography (OCT) is a noninvasive imaging technique for obtaining high resolution tomographic images of biological systems… Read full abstract & cite →

Average or Mean filter Bilateral filter denoising image Gaussian Filter Median filter optical coherence tomography Wiener filter
Abstract doi.org/10.14569/IJACSA.2022.0130948 PDF
49

Analyzing the State of Mind of Self-quarantined People during COVID-19 Pandemic Lockdown Period: A Multiple Correspondence Analysis Approach

Author 1: Gauri Vaidya Author 2: Vidya Kumbhar Author 3: Sachin Naik Author 4: Vijayatai Hukare

COVID-19 (Corona) virus has spread across the world threatening lives of millions of people. In India first COVID-19 case was detected on 30th January 2020 in Kerala. To minimize the spread of Corona Virus, countries all over the world implemented complete lockdown. Due to complete lockdown even people who are… Read full abstract & cite →

Correspondence analysis happiness index sentiment analysis proportional odds logistic regression self-quarantining
Abstract doi.org/10.14569/IJACSA.2022.0130949 PDF
50

SIBI (Sign System Indonesian Language) Text-to-3D Animation Translation Mobile Application

Author 1: Erdefi Rakun Author 2: Sultan Muzahidin Author 3: IGM Surya A. Darmana Author 4: Wikan Setiaji

This research proposed a mobile application prototype to translate Indonesian text into SIBI (Sign System for the Indonesian Language) 3D gestures animation to bridge the communication gap between the deaf and the other. To communicate in sign language, the signer will use his/her hands and fingers to demonstrate the word… Read full abstract & cite →

SIBI sign language sequence generation visual speech animation
Abstract doi.org/10.14569/IJACSA.2022.0130950 PDF
51

A Review of Foreground Segmentation based on Convolutional Neural Networks

Author 1: Pavan Kumar Tadiparthi Author 2: Sagarika Bugatha Author 3: Pradeep Kumar Bheemavarapu

Foreground segmentation in dynamic videos is a challenging task for many researchers. Many researchers worked on various methods that were traditionally developed; however, the performance of those state-of-art procedures has not yielded encouraging results. Hence, to obtain efficient results, a deep learning-based neural network model is proposed in this paper… Read full abstract & cite →

Foreground segmentation deep learning Convolutional Neural Network (CNN) Visual Geometry Group (VGG) 16 architecture Transposed Convolutional Neural Network (TCNN) Gaussian Mixture Model (GMM) Visual Background Extractor (VIBE)
Abstract doi.org/10.14569/IJACSA.2022.0130951 PDF
52

Multi-instance Finger Knuckle Print Recognition based on Fusion of Local Features

Author 1: Amine AMRAOUI Author 2: Mounir AIT KERROUM Author 3: Youssef FAKHRI

Personal identity has become an important asset in today's digital world for any individual in society. Biometrics offers itself as a reliable and secure guarantor of our identities, so it has become essential to build efficient and robust recognition systems. In this orientation, we propose a fusion approach, which aims… Read full abstract & cite →

Biometrics Finger Knuckle Print local features fusion compound local binary pattern
Abstract doi.org/10.14569/IJACSA.2022.0130952 PDF
53

Detection of Credit Card Fraud using a Hybrid Ensemble Model

Author 1: Sayali Saraf Author 2: Anupama Phakatkar

The rising number of credit card frauds presents a significant challenge for the banking industry. Many businesses and financial institutions suffer huge losses because card users are reluctant to use their cards. A primary goal of fraud detection is to identify prior transaction patterns to detect future fraud. In this… Read full abstract & cite →

Credit card hybrid ensemble model bagging boosting data imbalance
Abstract doi.org/10.14569/IJACSA.2022.0130953 PDF
54

Covid-19 and Pneumonia Infection Detection from Chest X-Ray Images using U-Net, EfficientNetB1, XGBoost and Recursive Feature Elimination

Author 1: Munindra Lunagaria Author 2: Vijay Katkar Author 3: Krunal Vaghela

The pandemic caused by the COVID-19 virus is the most serious current threat to the public's health. For the purpose of identifying patients with Covid-19, Chest X-Rays have proven to be an indispensable imaging modality for the hospital. Nevertheless, radiologists are needed to commit a significant amount of time to… Read full abstract & cite →

Covid-19 u-net efficientnet semantic image segmentation XGboost recursive feature extraction
Abstract doi.org/10.14569/IJACSA.2022.0130954 PDF
55

Analysis of Privacy and Security Challenges in e-Health Clouds

Author 1: Reem Alanazi

Electronic Health Records (EHR) techniques are being used at an increasingly faster rate to store the patient data making it easier to retrieve, share and utilize it efficiently. This data can be used for research purposes, clinical trials and for studying epidemiology to come up with strategies for epidemic control… Read full abstract & cite →

HER e-health security privacy cloud
Abstract doi.org/10.14569/IJACSA.2022.0130955 PDF
56

Identification of Retinal Disease using Anchor-Free Modified Faster Region

Author 1: Arulselvam. T Author 2: S. J. Sathish Aaron Joseph

Infections of the retinal tissue, as well as delayed or untreated therapy, may result in visual loss. Furthermore, when a large dataset is involved, the diagnosis is prone to inaccuracies. As a consequence, a completely automated model of retinal illness diagnosis is presented to eliminate human input while maintaining high… Read full abstract & cite →

Retinal disease fundus image dataset contrast enhancement segmentation Fast Fuzzy C Means adaptive optimal OTSU faster region-based convolutional neural network
Abstract doi.org/10.14569/IJACSA.2022.0130956 PDF
57

OpenCV Implementation of Grid-based Vertical Safe Landing for UAV using YOLOv5

Author 1: Hrusna Chakri Shadakshri V Author 2: Veena M. B Author 3: Keshihaa Rudra Gana Dev V

The challenge of proving autonomous landing in practical situations is difficult and highly risky. Adopting autonomous landing algorithms substantially minimizes the probability of human-involved mishaps, which may enable the use of drones in populated metropolitan areas to their full potential. This paper proposes an Unmanned Aerial Vehicles (UAV) vertical safe… Read full abstract & cite →

Autonomous UAV system computer vision algorithm YOLOv5 safe landing site selection Haversine equations
Abstract doi.org/10.14569/IJACSA.2022.0130957 PDF
58

Gaussian Projection Deep Extreme Clustering and Chebyshev Reflective Correlation based Outlier Detection

Author 1: S. Rajalakshmi Author 2: P. Madhubala

Outlier detection or simply the task of point detection that are noticeably distinct and different from data sample is a predominant issue in deep learning. When a framework is constructed, these distinctive points can later lead to model training and compromise accurate predictions. Owing to this reason, it is paramount… Read full abstract & cite →

Outlier detection clustering Gaussian random projection deep extreme learning Chebyshev distance temporal reflective correlation
Abstract doi.org/10.14569/IJACSA.2022.0130958 PDF
59

Efficient Decentralized Sharing Economy Model based on Blockchain Technology: A Case Study of Najm for Insurance Services Company

Author 1: Atheer Alkhammash Author 2: Kawther Saeedi Author 3: Fatmah Baothman Author 4: Rania Anwar Aboalela Author 5: Amal Babour

Blockchain is an emerging technology that is used to address ownership, centrality, and security issues in different fields. The blockchain technology has converted centralized applications into decentralized and distributed ones. In existing sharing economy applications, there are issues related to low efficiency and high complexity of services. However, blockchain technology… Read full abstract & cite →

Blockchain decentralized Ethereum multichain Najm sharing economy
Abstract doi.org/10.14569/IJACSA.2022.0130959 PDF
60

Virtual Communities of Practice to Promote Digital Agriculturists’ Learning Competencies and Learning Engagement: Conceptual Framework

Author 1: Maneerat Manyuen Author 2: Surapon Boonlue Author 3: Jariya Neanchaleay Author 4: Vitsanu Nittayathammakul

Virtual Communities of Practice (VCoPs) are networks of people who share a common interest and a desire to learn together in the same domain via ICT. The limitations of the existing concepts for developing VCoPs in general contexts are not explained in terms of the integration between virtual learning technologies… Read full abstract & cite →

VCoPs digital inquiry digital agriculture learning competencies learning engagement
Abstract doi.org/10.14569/IJACSA.2022.0130960 PDF
61

Deep Q-learning Approach based on CNN and XGBoost for Traffic Signal Control

Author 1: Nada Faqir Author 2: Chakir Loqman Author 3: Jaouad Boumhidi

Traffic signal control is a way for reducing traffic jams in urban areas, and to optimize the flow of vehicles by minimizing the total waiting times. Several intelligent methods have been proposed to control the traffic signal. However, these methods use a less efficient road features vector, which can lead… Read full abstract & cite →

Convolutional neural network extreme gradient traffic control traffic optimization urban mobility
Abstract doi.org/10.14569/IJACSA.2022.0130961 PDF
62

Automatic Text Summarization using Document Clustering Named Entity Recognition

Author 1: Senthamizh Selvan. R Author 2: K. Arutchelvan

Due to the rapid development of internet technology, social media and popular research article databases have generated many open text information. This large amount of textual information leads to 'Big Data'. Textual information can be recorded repeatedly about an event or topic on different websites. Text summarization (TS) is an… Read full abstract & cite →

Named entity recognition text summarization k-means clustering Zipf’s law
Abstract doi.org/10.14569/IJACSA.2022.0130962 PDF
63

Convolutional Neural Networks with Transfer Learning for Pneumonia Detection

Author 1: Orlando Iparraguirre-Villanueva Author 2: Victor Guevara-Ponce Author 3: Ofelia Roque Paredes Author 4: Fernando Sierra-Liñan Author 5: Joselyn Zapata-Paulini Author 6: Michael Cabanillas-Carbonell

Pneumonia is a type of acute respiratory infection caused by microbes, and viruses that affect the lungs. Pneumonia is the leading cause of infant mortality in the world, accounting for 81% of deaths in children under five years of age. There are approximately 1.2 million cases of pneumonia in children… Read full abstract & cite →

Neural networks transfer learning pneumonia detection Convolutional
Abstract doi.org/10.14569/IJACSA.2022.0130963 PDF
64

A Monadic Co-simulation Model for Cyber-physical Production Systems

Author 1: Daniel-Cristian Craciunean

The production flexibility required by the new industrial revolutions is largely based on heterogeneous Cyber-Physical Production Systems models that cooperate with each other to perform complex tasks. To accomplish tasks at an acceptable pace, CPPSs should be based on appropriate cooperation mechanisms. To this end a CPPS must be able… Read full abstract & cite →

Models metamodels co-simulation adjoint functors monads cyber-physical production systems
Abstract doi.org/10.14569/IJACSA.2022.0130964 PDF
65

A Machine Learning Model for Predicting Heart Disease using Ensemble Methods

Author 1: Jasjit Singh Samagh Author 2: Dilbag Singh

There is the continuous increase in death rate related to cardiac disease across the world. Prediction of the heart disease in advance may help the experts to suggest the pre-emptive measures to minimize the death risk. The early diagnosis of heart disease symptoms is made possible by machine learning technologies… Read full abstract & cite →

Heart disease diagnosis ensemble optimization prediction
Abstract doi.org/10.14569/IJACSA.2022.0130965 PDF
66

Novel Approach in Classification and Prediction of COVID-19 from Radiograph Images using CNN

Author 1: Chalapathiraju Kanumuri Author 2: CH. Renu Madhavi Author 3: Torthi Ravichandra

Effective screening and early detection of COVID-19 patients are highly crucial to slow down and stop the disease's rapid spread at this time. Currently, RT-PCR, CT scanning and Chest X-ray (CXR) imaging are the diagnosis mechanisms for COVID-19 detection. In this proposed work radiology examination by using CXR images is… Read full abstract & cite →

COVID-19 x-ray images deep learning technique CNN efficient net
Abstract doi.org/10.14569/IJACSA.2022.0130966 PDF
67

Machine Learning based Electromigration-aware Scheduler for Multi-core Processors

Author 1: Jagadeesh Kumar P Author 2: Mini M G

The rising performance demands in modern technology devices see the need to pack more functionality per area and are made possible with the advent of technology scaling. The extremely down-scaled, high-density processors used in such technology devices functioning at high frequencies and greater temperatures expedite various aging effects which impact… Read full abstract & cite →

Electromigration aware scheduler useful lifetime multi-core processor reliability machine learning model
Abstract doi.org/10.14569/IJACSA.2022.0130967 PDF
68

Sentiment Analysis on Acceptance of New Normal in COVID-19 Pandemic using Naïve Bayes Algorithm

Author 1: Siti Hajar Aishah Samsudin Author 2: Norlina Mohd Sabri Author 3: Norulhidayah Isa Author 4: Ummu Fatihah Mohd Bahrin

The COVID-19 pandemic has such a significant impact and causes difficulties in many aspects that the new normal rules should be implemented to reduce the effects. New normal rules have been implemented by governments worldwide to break the virus chain and stop its transmission among the society. Even if the… Read full abstract & cite →

Sentiment analysis COVID-19 new normal acceptance naïve bayes
Abstract doi.org/10.14569/IJACSA.2022.0130968 PDF
69

Partial Differential Equation (PDE) based Hybrid Diffusion Filters for Enhancing Noise Performance of Point of Care Ultrasound (POCUS) Images

Author 1: Deepa V S Author 2: Jagathyraj V P Author 3: Gopikakumari R

A hybrid filter is developed by combining smoothing and edge preservation properties of anisotropic diffusion (AD) filters and noise reduction features of median filtering. Mixed Gaussian Impulse noise and speckle noise are considered for analysis. The performance of this hybrid filter is verified using ultrasound images. The effectiveness of this… Read full abstract & cite →

Anisotropic diffusion filter POCUS mixed Gaussian impulse noise speckle noise
Abstract doi.org/10.14569/IJACSA.2022.0130969 PDF
70

Smart Greenhouse Monitoring and Controlling based on NodeMCU

Author 1: Yajie Liu

Food security is one of the major rising issues as the human population is larger and the land available for cultivation is smaller, as well unassured affairs happened often in society especially in the current CoVID-19 rapidly spread days. To mitigate this condition, further improve the yields and quality of… Read full abstract & cite →

Smart greenhouse ThingSpeak cloud NodeMCU
Abstract doi.org/10.14569/IJACSA.2022.0130970 PDF
71

Design of Accounting Information System in Data Processing: Case Study in Indonesia Company

Author 1: Meiryani Author 2: Dezie Leonarda Warganegara Author 3: Agustinus Winoto Author 4: Gabrielle Beatrice Hudayat Author 5: Erna Bernadetta Sitanggang Author 6: Ka Tiong Author 7: Jessica Paulina Sidauruk Author 8: Mochammad Fahlevi Author 9: Gredion Prajena

This study aims to determine the implementation of System Application and Product in Data Processing (SAP) in a company to provide solutions for companies to obtain reliable reports and improve performance in a company. This study uses the mixed method through interviews with resource persons who have work in well-known… Read full abstract & cite →

Accounting information systems SAP ERP implementation of SAP
Abstract doi.org/10.14569/IJACSA.2022.0130971 PDF
72

MOOC Dropout Prediction using FIAR-ANN Model based on Learner Behavioral Features

Author 1: S. Nithya Author 2: S.Umarani

Massive Open Online Courses (MOOCs) are a transformative technology in digital learning that incorporates new techniques through video sessions, exams, activities, and conversations. Everyone leads a successful life in their professional and personal skills learning courses during COVID-19. The research concentrated on employing video interaction analysis to characterize crucial MOOC… Read full abstract & cite →

Dropout prediction data analytics association rule mining machine learning artificial neural network
Abstract doi.org/10.14569/IJACSA.2022.0130972 PDF
73

Sentiment Analysis of Online Movie Reviews using Machine Learning

Author 1: Isaiah Steinke Author 2: Justin Wier Author 3: Lindsay Simon Author 4: Raed Seetan

Many websites encourage their users to write reviews for a wide variety of products and services. In particular, movie reviews may influence the decisions of potential viewers. However, users face the arduous tasks of summarizing the information in multiple reviews and determining the useful and relevant reviews among a very… Read full abstract & cite →

Decision tree machine learning (ML) natural language processing (NLP) random forests sentiment analysis support vector machine (SVM) reviews
Abstract doi.org/10.14569/IJACSA.2022.0130973 PDF
74

Detection and Extraction of Faces and Text Lower Third Techniques for an Audiovisual Archive System using Machine Learning

Author 1: Khalid El Fayq Author 2: Said Tkatek Author 3: Lahcen Idouglid Author 4: Jaafar Abouchabaka

As part of the audiovisual archive digitization project, which has become a complex field that requires human and material resources, and its automation and optimization have so far represented a center of interest for researchers and media manufacturers, in particular those linked to the integration of artificial intelligence tools in… Read full abstract & cite →

Image processing OpenCV Tesseract video OCR face detection
Abstract doi.org/10.14569/IJACSA.2022.0130974 PDF
75

Data Recovery Comparative Analysis using Open-based Forensic Tools Source on Linux

Author 1: Muhammad Fahmi Abdillah Author 2: Yudi Prayudi

Data recovery is one of the forensic techniques used to recover data that has been lost or deleted. Data recovery is carried out if there is a condition where the data that has been owned is deleted or damaged. If the data has been lost or deleted or even tampered… Read full abstract & cite →

Recovery tools FTK imager foremost Testdisk
Abstract doi.org/10.14569/IJACSA.2022.0130975 PDF
76

Advanced Persistent Threat Attack Detection using Clustering Algorithms

Author 1: Ahmed Alsanad Author 2: Sara Altuwaijri

Advanced Persistent Threat (APT) attack has become one of the most complex attacks. It targets sensitive information. Many cybersecurity systems have been developed to detect the APT attack from network data traffic and request. However, they still need to be improved to identify this attack effectively due to its complexity… Read full abstract & cite →

APT Attack detection DNS network cybersecurity clustering algorithms
Abstract doi.org/10.14569/IJACSA.2022.0130976 PDF
77

Energy Efficient Node Deployment Technique for Heterogeneous Wireless Sensor Network based Object Detection

Author 1: Jayashree Dev Author 2: Jibitesh Mishra

Lifetime of the network and the quality of operation are the two important issues in a wireless sensor network system meant for object detection and tracking application. At the same time, there should be a tradeoff between network cost and the quality of operation as high cost of the network… Read full abstract & cite →

Heterogeneous wireless sensor network energy efficiency node deployment object detection network particle swarm optimization harmony search algorithm
Abstract doi.org/10.14569/IJACSA.2022.0130977 PDF
78

Fine-grained Access Control in Distributed Cloud Environment using Trust Valuation Model

Author 1: Aparna Manikonda Author 2: Nalini N

Cloud computing has been in existence as an adaptable technology that gets integrated with IoT, Big-Data, and WSN to provide reliable, scalable and mesh-free services. However, because of its openness in nature, the privacy of the cloud is an important parameter for today’s research. The most important privacy factor in… Read full abstract & cite →

Fine-grained distributed access control trust
Abstract doi.org/10.14569/IJACSA.2022.0130978 PDF
79

BERT-Based Hybrid RNN Model for Multi-class Text Classification to Study the Effect of Pre-trained Word Embeddings

Author 1: Shreyashree S Author 2: Pramod Sunagar Author 3: S Rajarajeswari Author 4: Anita Kanavalli

Due to the Covid-19 pandemic which started in the year 2020, many nations had imposed lockdown to curb the spread of this virus. People have been sharing their experiences and perspectives on social media on the lockdown situation. This has given rise to increased number of tweets or posts on… Read full abstract & cite →

Multi-class text classification transfer learning pre-training word embeddings GloVe bidirectional encoder representations from transformers long short-term memory gated recurrent units hybrid model RNN
Abstract doi.org/10.14569/IJACSA.2022.0130979 PDF
80

A Hybrid Approach of Wavelet Transform, Convolutional Neural Networks and Gated Recurrent Units for Stock Liquidity Forecasting

Author 1: Mohamed Ben Houad Author 2: Mohammed Mestari Author 3: Khalid Bentaleb Author 4: Adnane El Mansouri Author 5: Salma El Aidouni

Stock liquidity forecasting is critical for investors, issuers, and financial market regulators. The object of this study is to propose a method capable of accurately predicting the liquidity of stocks. The few studies on stock liquidity forecasting have focused on single models such as Seasonal Auto-Regressive Integrated Moving Average with… Read full abstract & cite →

Stock liquidity wavelet transform convolutional neural networks GRU cell Casablanca stock exchange
Abstract doi.org/10.14569/IJACSA.2022.0130980 PDF
81

Visual Navigation System for Autonomous Drone using Fiducial Marker Detection

Author 1: Mohammad Soleimani Amiri Author 2: Rizauddin Ramli

Drones have been quickly developing for civilian applications in recent years. Because of the nonlinearity of the mathematical drone model, and the importance of precise navigation to avoid possible dangers, it is necessary to establish an algorithm to localize the drone simultaneously and maneuver it to the desired destination. This… Read full abstract & cite →

Proportional-Integral-Derivative (PID) controller AprilTag detection system autonomous navigation fiducial marker detection
Abstract doi.org/10.14569/IJACSA.2022.0130981 PDF
82

Design of a Mobile Application for the Logistics Process of a Fire Company

Author 1: Luis Enrique Parra Aquije Author 2: Luis Gustavo Vasquez Carranza Author 3: Gustavo Bernnet Alfaro Pena Author 4: Michael Cabanillas-Carbonell Author 5: Laberiano Andrade-Arenas

Currently, the logistics process is an important part for any company because it helps to manage the assets and products that enter and leave it. Some companies carry out this process physically, saving the information on sheets of paper or Excel files, which takes longer to do and is not… Read full abstract & cite →

Fire company logistics process mobile application RUP methodology expert survey
Abstract doi.org/10.14569/IJACSA.2022.0130982 PDF
83

Intelligent System for Personalised Interventions and Early Drop-out Prediction in MOOCs

Author 1: ALJ Zakaria Author 2: BOUAYAD Anas Author 3: Cherkaoui Malki Mohammed Oucamah

In this paper, we propose an approach to early detect students at high risk of drop-out in MOOC (Massive Open Online Course); we design personalised interventions to mitigate that risk. We apply Machine Learning (ML) algorithms and data mining techniques to a dataset extracted from XuetangX MOOC learning platforms and… Read full abstract & cite →

MOOC drop-out dimensionality reduction features selection personalised intervention
Abstract doi.org/10.14569/IJACSA.2022.0130983 PDF
84

An Intelligent Decision Support Ensemble Voting Model for Coronary Artery Disease Prediction in Smart Healthcare Monitoring Environments

Author 1: Anas Maach Author 2: Jamila Elalami Author 3: Noureddine Elalami Author 4: El Houssine El Mazoudi

Coronary Artery Disease (CAD) is one of the most common cardiac diseases worldwide and causes disability and economic burden. It is the world’s leading and most serious cause of mortality, with approximately 80% of deaths reported in low- and middle-income countries. The preferred and most precise diagnostic tool for CAD… Read full abstract & cite →

Machine learning smart healthcare coronary artery disease
Abstract doi.org/10.14569/IJACSA.2022.0130984 PDF
85

Estimation of Varying Reaction Times with RNN and Application to Human-like Autonomous Car-following Modeling

Author 1: Lijing Ma Author 2: Shiru Qu Author 3: Junxi Zhang Author 4: Xiangzhou Zhang

The interaction between human-driven vehicles and autonomous vehicles has become a vital issue in micro-transportation science. Compared to autonomous vehicles, human-driven vehicles have varying reaction times that could compromise traffic efficiency and stability. But human drivers can anticipate future traffic conditions subconsciously, which guar-antees qualified performance. This paper proposes an… Read full abstract & cite →

Car-following model intelligent driver model human-driven vehicle autonomous vehicle varying reaction time string stability
Abstract doi.org/10.14569/IJACSA.2022.0130985 PDF
86

Mobile Food Journalling Application with Convolutional Neural Network and Transfer Learning: A Case for Diabetes Management in Malaysia

Author 1: Jason Thomas Chew Author 2: Yakub Sebastian Author 3: Valliapan Raman Author 4: Patrick Hang Hui Then

Diabetes is an ever worsening problem in modern society, placing a heavy burden on healthcare systems. Due to the association between obesity and diabetes, food journaling mobile applications are an effective approach for managing and improving the outcome of diabetics. Due to the efficacy of nutritional tracking and management in… Read full abstract & cite →

Convolutional neural network deep learning diabetes food journal mobile application nutritional tracking Malaysia
Abstract doi.org/10.14569/IJACSA.2022.0130986 PDF
87

Rethinking Classification of Oriented Object Detection in Aerial Images

Author 1: Phuc Nguyen Author 2: Thang Truong Author 3: Nguyen D. Vo Author 4: Khang Nguyen

With the help of the rapid development of technology, especially the prevalence of UAVs (unmanned aerial vehicles), object detection in aerial images gains much more attention in computer vision and deep learning. However, traditional methods use horizontal bounding boxes for object representation leading to inconsistency between objects and features. Therefore… Read full abstract & cite →

Aerial images classification convex-hull transformation data processing oriented object detection
Abstract doi.org/10.14569/IJACSA.2022.0130987 PDF
88

TextBrew: Automated Model Selection and Hyperparameter Optimization for Text Classification

Author 1: Rushil Desai Author 2: Aditya Shah Author 3: Shourya Kothari Author 4: Aishwarya Surve Author 5: Narendra Shekokar

In building a machine learning solution, algorithm selection and hyperparameter tuning is the most time-consuming task. Automated Machine Learning is a solution to fully automate the process of finding the best model for a given task without actually having to try various models. This paper introduces a new AutoML system… Read full abstract & cite →

Automated machine learning AutoML NLP trans-former models hyperparameter optimization CopulaGAN gener-ative model meta-learning
Abstract doi.org/10.14569/IJACSA.2022.0130988 PDF
89

On-Device Major Indian Language Identification Classifiers to Run on Low Resource Devices

Author 1: Yashwanth Y S

Language Identification acts a first and necessary step in building intelligent Natural Language Processing (NLP) systems that handle code mixed data. There is a lot of work around this problem, but there is still scope for improvement, especially for local Indian languages. Also, earlier works mostly concentrates on just accuracy… Read full abstract & cite →

Character grams code-mixed deep learning Indian languages language identification NLP social media text
Abstract doi.org/10.14569/IJACSA.2022.0130989 PDF
90

Evaluating Hybrid Framework of VASNET and IoT in Disaster Management System

Author 1: Sia Chiu Shoon Author 2: Mohammad Nazim Jambli Author 3: Sinarwati Mohamad Suhaili Author 4: Nur Haryani Zakaria

During emergency operations in Disaster Management System (DMS) for natural and man-made disasters, any breakdown in the existing information and communication technology will affect the aspect of effectiveness and efficiency on an emergency response task. For Vehicular Ad-hoc Sensor Network (VASNET), the limitation in terms of infrastructure that consists of… Read full abstract & cite →

Energy consumption packet loss LTE-A VASNET IoT
Abstract doi.org/10.14569/IJACSA.2022.0130990 PDF
91

A Novel Machine Learning-based Framework for Detecting Religious Arabic Hatred Speech in Social Networks

Author 1: Mahmoud Masadeh Author 2: Hanumanthappa Jayappa Davanager Author 3: Abdullah Y. Muaad

Social media platforms generate a huge amount of data every day. However, liberty of speech through these networks could easily help in spreading hatred. Hate speech is a severe concern endangering the cohesion and structure of civil societies. With the increase in hate and sarcasm among the people who contact… Read full abstract & cite →

Machine learning Arabic language hatred detection social network classification algorithm
Abstract doi.org/10.14569/IJACSA.2022.0130991 PDF
92

Modeling Multioutput Response Uses Ridge Regression and MLP Neural Network with Tuning Hyperparameter through Cross Validation

Author 1: Waego Hadi Nugroho Author 2: Samingun Handoyo Author 3: Hsing-Chuan Hsieh Author 4: Yusnita Julyarni Akri Author 5: Zuraidah Author 6: Donna DwinitaAdelia

The multiple regression model is very popular among researchers in both field of social and science because it is easy to interpret and have a well-established theoretical framework. However, the multioutput multiple regression model is actually widely applied in the engineering field because in the industrial world there are many… Read full abstract & cite →

Filter approach hyperparameter tuning multi-response neural network ridge regression
Abstract doi.org/10.14569/IJACSA.2022.0130992 PDF
93

Decentralized Access Control using Blockchain Technology for Application in Smart Farming

Author 1: Normaizeerah Mohd Noor Author 2: Noor Afiza Mat Razali Author 3: Nur Atiqah Malizan Author 4: Khairul Khalil Ishak Author 5: Muslihah Wook Author 6: Nor Asiakin Hasbullah

The application of the Internet of Things (IoT) plays a crucial role in the fourth industrial revolution. The sophistication of technology due to the integration of heterogenous smart devices open a new threat from various aspects. Access control is the first line of defence to ensure that IoT resources are… Read full abstract & cite →

Blockchain access control smart contract internet of thing
Abstract doi.org/10.14569/IJACSA.2022.0130993 PDF
94

Research on Intelligent Control System of Air Conditioning Based on Internet of Things

Author 1: Binfang Zhang

The current air conditioning intelligent control system cannot achieve the ideal energy-saving effect. The indoor temperature and humidity control is not good enough either. Therefore, an intelligent air-conditioning control system based on Internet of Things technology is designed. The hardware part of the system includes system control motherboard, sensor module… Read full abstract & cite →

Internet of things technology intelligent control of air conditioning system design double closed-loop load virtual synchronizer of air conditioning
Abstract doi.org/10.14569/IJACSA.2022.0130994 PDF
95

A Short Review on the Role of Various Deep Learning Techniques for Segmenting and Classifying Brain Tumours from MRI Images

Author 1: Kumari Kavitha. D Author 2: E. Kiran Kumar

The past few years have observed substantial growth in death rates associated with brain tumors and it is second foremost source of cancer-related demises. However, it is possible to increase the chance of survival if tumors are identified during initial stage by employing various deep learning techniques. These techniques are… Read full abstract & cite →

Medical image segmentation convolutional neural networks (CNN) deep-CNN feed forward neural networks brain tumor segmentation (BraTS) and U-net
Abstract doi.org/10.14569/IJACSA.2022.0130995 PDF
96

Fish Species Classification using Optimized Deep Learning Model

Author 1: J. M. Jini Mol Author 2: S. Albin Jose

Classification of fish species in aquatic pictures is a growing field of research for researchers and image processing experts. Classification of fish species in aquatic images is critical for fish analytical purposes, such as ecological auditing balance, observing fish populations, and saving threatened animals. However, ocean water scattering and absorption… Read full abstract & cite →

Fish species classification deep learning GW optimization auto encoder decoder feature selection
Abstract doi.org/10.14569/IJACSA.2022.0130996 PDF
97

Environmental Noise Pollution Forecasting using Fuzzy-autoregressive Integrated Moving Average Modelling

Author 1: Muhammad Shukri Che Lah Author 2: Nureize Arbaiy Author 3: Syahir Ajwad Sapuan Author 4: Pei-Chun Lin

Predicting noise pollution from building sites is important to take precautions to avoid pollution that harms the public. A high accuracy of the prediction model is required so that the predicted model can reach the true value. Forecasting models must be built on solid historical data to achieve high forecasting… Read full abstract & cite →

Noise pollution forecasting ARIMA uncertainty standard deviation
Abstract doi.org/10.14569/IJACSA.2022.0130997 PDF
98

Extractive Multi-document Text Summarization Leveraging Hybrid Semantic Similarity Measures

Author 1: Rajesh Bandaru Author 2: Y. Radhika

Because of the massive amount of textual information accessible today, automated extraction text summarization is one of the most extensively used ways to organize the information. The summarization mechanisms help to extract the important topics of data from a given set of documents. Extractive summarization is one method for providing… Read full abstract & cite →

Extractive text summarization semantic similarity sentence scoring summary
Abstract doi.org/10.14569/IJACSA.2022.0130998 PDF
99

An Efficient Hybrid LSTM-CNN and CNN-LSTM with GloVe for Text Multi-class Sentiment Classification in Gender Violence

Author 1: Abdul Azim Ismail Author 2: Marina Yusoff

Gender-based violence is a public health issue that needs high concern to eliminate discrimination and violence against women and girls. Several cases are through the offline organization and the respective online platform. However, many victims share their experiences and stories on social media platforms. Twitter is one of the methods… Read full abstract & cite →

Gender-based violence deep learning convolution neural network long short-term memory convolution neural network - long short-term memory long short-term memory - convolution neural network global vector multi-class text classification
Abstract doi.org/10.14569/IJACSA.2022.0130999 PDF
100

Performance Analysis of Deep Learning YOLO models for South Asian Regional Vehicle Recognition

Author 1: Minar Mahmud Rafi Author 2: Siddharth Chakma Author 3: Asif Mahmud Author 4: Raj Xavier Rozario Author 5: Rukon Uddin Munna Author 6: Md. Abrar Abedin Wohra Author 7: Rakibul Haque Joy Author 8: Khan Raqib Mahmud Author 9: Bijan Paul

For years, humans have pondered the possibility of combining human and machine intelligence. The purpose of this research is to recognize vehicles from media and while there are multiple models associated with this, models that can detect vehicles commonly used in developing countries like Bangladesh, India, etc. are scarce. Our… Read full abstract & cite →

You Only Look Once (YOLOv5) vehicle detection neural network deep learning vehicle tracking
Abstract doi.org/10.14569/IJACSA.2022.01309100 PDF
101

Multi-method Approach for User Experience of Selfie-taking Mobile Applications

Author 1: Shahad Aldahri Author 2: Reem Alnanih

Taking selfies is a popular activity in most social media applications and applying filters/lenses to these selfies has become one of the most demanded features of such applications. This paper aims to design an application for taking selfies to minimize the heavy use of beautifying filters. To understand the current… Read full abstract & cite →

Filters lenses multi-method research methods selfie taking user experience research
Abstract doi.org/10.14569/IJACSA.2022.01309101 PDF
102

Predicting Academic Performance using a Multiclassification Model: Case Study

Author 1: Alfredo Daza Vergaray Author 2: Carlos Guerra Author 3: Noemi Cervera Author 4: Erwin Burgos

Now-a-days predicting the academic performance of students is increasingly possible, thanks to the constant use of computer systems that store a large amount of student information. Machine learning uses this information to achieve big goals, such as predicting whether or not a student will pass a course. The main purpose… Read full abstract & cite →

Learning machine prediction academic performance hybrid model classification techniques multiclassification python
Abstract doi.org/10.14569/IJACSA.2022.01309102 PDF
103

COVID-19 Disease Detection based on X-Ray Image Classification using CNN with GEV Activation Function

Author 1: Karim Ali Mohamed Author 2: Emad Elsamahy Author 3: Ahmed Salem

The globe was rocked by unprecedented levels of disruption, which had devastating effects on daily life, global health, and global economy. Since the COVID-19 epidemic started, methods for delivering accurate diagnoses for multi-category classification have been proposed in this work (COVID vs. normal vs. pneumonia). XceptionNet and Dense Net, two… Read full abstract & cite →

COVID-19 CNN GEV function image augmentation
Abstract doi.org/10.14569/IJACSA.2022.01309103 PDF
104

Deep Learning based Cervical Cancer Classification and Segmentation from Pap Smears Images using an EfficientNet

Author 1: Krishna Prasad Battula Author 2: B. Sai Chandana

One of the most prevalent cancers in the world, cervical cancer claims the lives of many people every year. Since early cancer diagnosis makes it easier for patients to use clinical applications, cancer research is crucial. The Pap smear is a useful tool for early cervical cancer detection, although the… Read full abstract & cite →

Cervical cancer pap smear time-consuming contrast local adaptive histogram equalization (CLAHE) Grey Level Co-occurrence Matrix (GLCM) morphological features wavelet SegNet
Abstract doi.org/10.14569/IJACSA.2022.01309104 PDF
105

Cloud based Forecast of Municipal Solid Waste Growth using AutoRegressive Integrated Moving Average Model: A Case Study for Bengaluru

Author 1: Rashmi G Author 2: S Sathish Kumar K

Forecasting the quantity of waste growth in upcoming years is very much required for assessing the existing waste management system. In this research work, time series forecast model, ARIMA (Autoregressive Integrated Moving Average), is used to predict future waste growth from 2021 to 2028 for Bengaluru, largest city in Karnataka… Read full abstract & cite →

Cloud Computing Machine Learning Time Series Forecasting Waste Management System ARIMA Predictive Modeling
Abstract doi.org/10.14569/IJACSA.2022.01309105 PDF
106

Building an Intelligent Tutoring System for Learning Polysemous Words in Moore

Author 1: Pengwende ZONGO Author 2: Tounwendyam Frederic OUEDRAOGO

This paper presents the results of our research carried out as part of the building of an Intelligent Tutoring System (ITS) to learn Moor´e, a tone language. A word in tone language may have many meanings according to the pitch. The system has an intelligent tutor to personalize and guide… Read full abstract & cite →

Intelligent tutoring system petri network evaluation Moor´e language
Abstract doi.org/10.14569/IJACSA.2022.01309106 PDF
107

Improving the Diabetes Diagnosis Prediction Rate Using Data Preprocessing, Data Augmentation and Recursive Feature Elimination Method

Author 1: E. Sabitha Author 2: M. Durgadevi

Hyperglycemia is a symptom of diabetes mellitus, a metabolic condition brought on by the body's inability to produce enough insulin and respond to it. Diabetes can damage body organs if it is not adequately managed or detected in a timely manner. Many years of research into diabetes diagnosis has led… Read full abstract & cite →

Artificial Intelligence (AI) Machine Learning (ML) Deep Learning(DL) Neural Network Diabetes Mellitus Recursive Feature Elimination (RFE) Synthetic Minority Over-sampling Technique (SMOTE)
Abstract doi.org/10.14569/IJACSA.2022.01309107 PDF
108

A Comparative Study of Unsupervised Anomaly Detection Algorithms used in a Small and Medium-Sized Enterprise

Author 1: Irina Petrariu Author 2: Adrian Moscaliuc Author 3: Cristina Elena Turcu Author 4: Ovidiu Gherman

Anomaly detection finds application in several industries and domains. The anomaly detection market is growing driven by the increasing development and dynamic adoption of emerging technologies. Depending on the type of supervision, there are three main types of anomaly detection techniques: unsupervised, semi-supervised, and supervised. Given the wide variety of… Read full abstract & cite →

Unsupervised anomaly detection algorithms small and medium-sized enterprise traceability open-source libraries
Abstract doi.org/10.14569/IJACSA.2022.01309108 PDF
109

Automated Brain Disease Classification using Transfer Learning based Deep Learning Models

Author 1: Farhana Alam Author 2: Farhana Chowdhury Tisha Author 3: Sara Anisa Rahman Author 4: Samia Sultana Author 5: Md. Ahied Mahi Chowdhury Author 6: Ahmed Wasif Reza Author 7: Mohammad Shamsul Arefin

Brain MRI (Magnetic Resonance Imaging) classification is one of the most significant areas of medical imaging. Among different types of procedures, MRI is the most trusted one to detect brain diseases. Manual and semi-automated segmentations need highly experienced radiologists and much time to detect the problem. Recently, deep learning methods… Read full abstract & cite →

Brain MRI tumor deep learning classification transfer learning
Abstract doi.org/10.14569/IJACSA.2022.01309109 PDF
110

Toward A Holistic, Efficient, Stacking Ensemble Intrusion Detection System using a Real Cloud-based Dataset

Author 1: Ahmed M. Mahfouz Author 2: Abdullah Abuhussein Author 3: Faisal S. Alsubaei Author 4: Sajjan G. Shiva

Network intrusion detection is a key step in securing today’s constantly developing networks. Various experiments have been put forward to propose new methods for resisting harmful cyber behaviors. Though, as cyber-attacks turn out to be more complex, the present methodologies fail to adequately solve the problem. Thus, network intrusion detection… Read full abstract & cite →

Intrusion detection system IDS dataset stacking ensemble ids stacking security ensemble learning
Abstract doi.org/10.14569/IJACSA.2022.01309110 PDF
111

Authorship Attribution on Kannada Text using Bi-Directional LSTM Technique

Author 1: Chandrika C P Author 2: Jagadish S Kallimani

Author attribution is the field of deducing the author of an unknown textual source based on certain characteristics inherently present in the author’s style of writing. Author attribution has a ton of useful applications which help automate manual tasks. The proposed model is designed to predict the authorship of the… Read full abstract & cite →

Authorship attribution Bi-Directional Long Short Term Memory machine learning algorithms parts of speech stylometry features
Abstract doi.org/10.14569/IJACSA.2022.01309111 PDF
112

Flood Prediction using Deep Learning Models

Author 1: Muhammad Hafizi Mohd Ali Author 2: Siti Azirah Asmai Author 3: Z. Zainal Abidin Author 4: Zuraida Abal Abas Author 5: Nurul A. Emran

Deep learning has recently appeared as one of the best reliable approaches for forecasting time series. Even though there are numerous data-driven models for flood prediction, most studies focus on prediction using a single flood variable. The creation of various data-driven models may require unfeasible computing resources when estimating multiple… Read full abstract & cite →

Deep learning recurrent neural network long short-term memory flood prediction layer normalization
Abstract doi.org/10.14569/IJACSA.2022.01309112 PDF
113

Recognition Method of Dim and Small Targets in SAR Images based on Machine Vision

Author 1: Qin Dong

Aiming at the problems of long recognition time and low recognition accuracy of traditional SAR image dim target recognition methods, a method of SAR image dim target recognition based on machine vision was proposed. SAR images are collected and preprocessed by machine vision, and the image information is processed by… Read full abstract & cite →

Machine vision SAR image Weak target PCA linear dimensionality reduction method key frame frequency band
Abstract doi.org/10.14569/IJACSA.2022.01309113 PDF
114

Information Classification Algorithm based on Project-based Learning Data-driven and Stochastic Grid

Author 1: Xiaomei Qin Author 2: Wenlan Zhang

The adaptive partitioning algorithm of information set in simulation laboratory based on project-based learning data-driven and random grid is studied to effectively preprocess the information set and improve the adaptive partitioning effect of the information set. Using the improved fuzzy C-means clustering algorithm driven by project-based learning data, the fuzzy… Read full abstract & cite →

Adaptive partitioning data driven information set project-based learning random grid simulation laboratory
Abstract doi.org/10.14569/IJACSA.2022.01309114 PDF
115

Swine flu Detection and Location using Machine Learning Techniques and GIS

Author 1: P. Nagaraj Author 2: A. V. Krishna Prasad Author 3: V. B. Narsimha Author 4: B. Sujatha

The H1N1 virus, more commonly referred to as swine flu, is an illness that is extremely infectious and can in some cases be fatal. Because of this, the lives of many individuals have been taken. The disease can be transmitted from pigs to people. This research presents an artificial neural… Read full abstract & cite →

Swine Flu influenza machine learning GIS classifiers ANN virus algorithm
Abstract doi.org/10.14569/IJACSA.2022.01309115 PDF
116

Taxation Transformation under the Influence of Industry 4.0

Author 1: Pavel Victorovich Stroev Author 2: Rafael Valiakhmetovich Fattakhov Author 3: Olga Vladimirovna Pivovarova Author 4: Sergey Leonidovich Orlov Author 5: Alena Stanislavovna Advokatova

Today the growing level of automation and the new concept of online technologies are transforming the traditional industry. Value is generated with the help of Industry 4.0 technologies that not only increase the efficiency and agility of supply chains, create new products and offer new ways of connecting businesses and… Read full abstract & cite →

Digitalization cryptocurrency blockchain robotics automation innovation tax
Abstract doi.org/10.14569/IJACSA.2022.01309116 PDF
117

Attractiveness of the Megaproject Labor Market for Metropolitan Residents in the Context of Digitalization and the Long-Lasting COVID-19 Pandemic

Author 1: Mikhail Vinichenko Author 2: Sergey Barkov Author 3: Aleksander Oseev Author 4: Sergey Makushkin Author 5: Larisa Amozova

The article aims to determine the nature of changes in the attractiveness of the labor market of megaprojects from the perspective of megapolis residents under the conditions of digitalization and the long-lasting pandemic of COVID-19. The paper develops a scientific-methodological and categorical-conceptual apparatus with the support of empirical methods with… Read full abstract & cite →

Megaproject labor market metropolitan residents digitalization COVID-19 pandemic attractiveness factors
Abstract doi.org/10.14569/IJACSA.2022.01309117 PDF
118

Generation and Assessment of Intellectual and Informational Capital as a Foundation for Corporations’ Digital Innovations in the “Open Innovation” System

Author 1: Viktoriya Valeryevna Manuylenko Author 2: Galina Alexandrovna Ermakova Author 3: Natalia Vladimirovna Gryzunova Author 4: Mariya Nikolaevna Koniagina Author 5: Alexander Vladimirovich Milenkov Author 6: Liubov Alexandrovna Setchenkova Author 7: Irina Ivanovna Ochkolda

The research peruses development of scientifically based toolkit to create and assess promising types of intellectual capital transformed into digital innovations for “open innovation" system. It is determined that in theory terms “intellectual, informational and digital capitals” are interrelated categories; efficient merge of informational and digital capitals minimizes information security… Read full abstract & cite →

Informational and digital capitals informational security risks synergy open innovation transformation
Abstract doi.org/10.14569/IJACSA.2022.01309118 PDF
119

An Algorithm for Providing Adaptive Behavior to Humanoid Robot in Oral Assessment

Author 1: Dalia khairy Author 2: Salem Alkhalaf Author 3: M. F. Areed Author 4: Mohamed A. Amasha Author 5: Rania A. Abougalala

Assistance humanoid robots (AHR) are the category of robotics used to offer social interaction to humans. In higher education, the teaching staff supports the acceptance of AHRs as a social assistance tool during the learning activities, with the whole responsibility of the correct operation of the device and providing a… Read full abstract & cite →

Algorithm humanoid robot social robots oral assessment assistance robots higher education adaptive behavior robot
Abstract doi.org/10.14569/IJACSA.2022.01309119 PDF
120

Classifiers Combination for Efficient Masked Face Recognition

Author 1: Kebir Marwa Author 2: Ouni Kais

This study was developed following the upheaval caused by the spread of the Coronavirus around the world. This global crisis greatly affects security systems based on facial recognition given the obligation to wear a mask. This latter, camouflages the entire lower part of the face, which is therefore a great… Read full abstract & cite →

Masked faces deep learning AlexNet ResNet50 FaceNet classifiers combination
Abstract doi.org/10.14569/IJACSA.2022.01309120 PDF
121

Human Position and Object Motion based Spatio-Temporal Analysis for the Recognition of Human Shopping Actions

Author 1: Nethravathi P. S Author 2: Karuna Pandith Author 3: Manjula Sanjay Koti Author 4: Rajermani Thinakaran Author 5: Sumathi Pawar

Retailers have long sought ways to better understand their consumers' behavior in order to deliver a smooth and enjoyable shopping experience that draws more customers every day and, as a result, optimizes income. By combining various visual clues such as activities, gestures, and facial expressions, humans may fully grasp the… Read full abstract & cite →

Deep convolutional neural networks computer vision object detection object localization temporal analysis human shopping actions component
Abstract doi.org/10.14569/IJACSA.2022.01309121 PDF
IJACSA Journal Cover

Important Dates

Volume 17 No. 10, October 2026
Paper Submission Due September 25, 2026
Review Notification October 15, 2026
Publication Date October 31, 2026
Call for Papers Submit Your Paper

IJACSA