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

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IJACSA Vol. 12 Issue 10 (2021)

Open Access | | 96 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.

1

An Effective Design of Model for Information Security Requirement Assessment

Author 1: Shailaja Salagrama

Information security is a major domain of analysis for enhancing the security of sensitive detained business organizations. These days, attackers are advancing themselves by applying highly advanced technological solutions such as artificially intelligent malicious codes, advanced phishing methods and many others to acquire sensitive and critical data from businesses. This… Read full abstract & cite →

Information security network security web security confidentiality integrity availability communication technology information system internet security security framework introduction
2

UAV Aided Data Collection for Wildlife Monitoring using Cache-enabled Mobile Ad-hoc Wireless Sensor Nodes

Author 1: Umair B. Chaudhry Author 2: Chris I. Phillips

Unmanned aerial vehicle (UAV) assisted data collection is not a new concept and has been used in various mobile ad hoc networks. In this paper, we propose a caching assisted scheme alternative to routing in MANETs for the purpose of wildlife monitoring. Rather than deploying a routing protocol, data is… Read full abstract & cite →

UAV caching sensors MANETs WSN waypoint
3

Collaborative Recommendation based on Implication Field

Author 1: Hoang Tan Nguyen Author 2: Lan Phuong Phan Author 3: Hung Huu Huynh Author 4: Hiep Xuan Huynh

Recently, recommender systems has grown rapidly in both quantity and quality and has attracted many studies aimed at improving their quality. Especially, collaborative fil-tering techniques based on rule mining model combined with statistical implication analysis (SIA) technique also achieved some interesting results. This has shown the potential of SIA to… Read full abstract & cite →

Implication intensity implication rules implication field equipotential surface
4

Taxonomy of Cybersecurity Awareness Delivery Methods: A Countermeasure for Phishing Threats

Author 1: Asma A. Alhashmi Author 2: Abdulbasit Darem Author 3: Jemal H. Abawajy

Phishing is a serious threat to the Internet users and has become a vehicle for cybercriminals to perpetrate large-scale crimes worldwide. A wide range of technical and educational measures have been developed and used to address phishing threats. However, the technical anti-phishing measures have been widely studied in the current… Read full abstract & cite →

Phishing attack human factors in cybersecurity cybersecurity threats cybersecurity awareness anti-phishing awareness delivery methods
5

Visual Selective Attention System to Intervene User Attention in Sharing COVID-19 Misinformation

Author 1: Zaid Amin Author 2: Nazlena Mohamad Ali Author 3: Alan F. Smeaton

Information sharing on social media must be accompanied by attentive behavior so that in a distorted digital environment, users are not rushed and distracted in deciding to share information. The spread of misinformation, especially those related to the COVID-19, can divide and create negative effects of falsehood in society. Individuals… Read full abstract & cite →

Visual selective attention COVID-19 misinformation user attention information sharing implicit association test
6

Head Position and Pose Model and Method for Head Pose Angle Estimation based on Convolution Neural Network

Author 1: Kohei Arai Author 2: Akifumi Yamashita Author 3: Hiroshi Okumura

Head position and pose model is created. Also, a method for head poses angle estimation based on Convolution Neural Network (CNN) is proposed. 3D head position model is created from these locations and obtain 3D coordinate of head position. The method proposed here uses CNN. As for the head pose… Read full abstract & cite →

CNN head pose OpenCV Dlib open-source software python
7

Introduction to NFTs: The Future of Digital Collectibles

Author 1: Muddasar Ali Author 2: Sikha Bagui

This paper commences by introducing the essentials of blockchain technology and then goes into how Ethereum blockchain revolutionized blockchain. Smart contracts are presented in the context of showing how they play an important role in implementing rules regarding the Ethereum blockchain, allowing the user to regulate digital assets. The standards… Read full abstract & cite →

Blockchain technologies smart contracts cryptocurrencies ethereum non-fungible tokens (NFTs)
8

Hybrid e-Government Framework based on Datawarehousing and MAS for Data Interoperability

Author 1: Barakat Oumkaltoum Author 2: El beqqali Omar Author 3: Ouksel Aris Author 4: Chakir Loqman

The exponential growth in technological innovation is driven in large part by the digitization of multiple domains and assumes environments of increasing data volumes, arriving at high velocity and variety. e-Government is one such domain that exploits current ICT innovations to improve the delivery of public services to its citizens… Read full abstract & cite →

e-Government interoperability multi-agent system materialized views datawarehouse business intelligence
9

Analyzing User Involvement Practice: A Case Study

Author 1: Asaad Alzayed Author 2: Abdulwahed Khalfan

Engaging users in software development is recognized as effective in furthering the likelihood of product efficacy and a successful project, together with user contentment. Furthermore, user involvement is potentially applicable to numerous organizational contexts that can incorporate a focused user-centered group. This research analyzes the findings of a case study… Read full abstract & cite →

User involvement practices user involvement challenges usability user-center practice user feedback end users communication
10

Predictive Scaling for Elastic Compute Resources on Public Cloud Utilizing Deep Learning based Long Short-term Memory

Author 1: Bharanidharan. G Author 2: S. Jayalakshmi

The cloud resource usage has been increased exponentially because of adaptation of digitalization in government and corporate organization. This might increase the usage of cloud compute instances, resulting in massive consumption of energy from High performance Public Cloud Data Center servers. In cloud, there are some web applications which may… Read full abstract & cite →

Predictive auto-scaling business intelligence virtual machines (VM’s) deep learning models analytics elasticity high performance public cloud data centre (HP-PCDC) right sizing
11

Highly Efficient Parts of Speech Tagging in Low Resource Languages with Improved Hidden Markov Model and Deep Learning

Author 1: Diganta Baishya Author 2: Rupam Baruah

Over the years, many different algorithms are proposed to improve the accuracy of the automatic parts of speech tagging. High accuracy of parts of speech tagging is very important for any NLP application. Powerful models like The Hidden Markov Model (HMM), used for this purpose require a huge amount of… Read full abstract & cite →

Hidden markov models viterbi algorithm machine learning deep learning text processing low resource language unknown words parts of speech tagging
12

Critical Success Factors Associated to Tourism e-Commerce: Study of Peruvian Tourism Operators

Author 1: Sussy Bayona-Oré Author 2: Romy Estrada

The incorporation of information and communication technologies (ICT) has generated new opportunities and innovation in business models, such as electronic commerce (EC). Despite the benefits that the EC offers PYMEs, its adoption is low. Several authors have argued that many factors condition the adoption of EC in developing countries. This… Read full abstract & cite →

Adoption e-commerce tourism operators PYMEs critical factors TOE
13

A Survey on Computer Vision Architectures for Large Scale Image Classification using Deep Learning

Author 1: D. Dakshayani Himabindu Author 2: S. Praveen Kumar

The advancement in deep learning is increasing day-by-day from image classification to language understanding tasks. In particular, the convolution neural networks are revived and shown their performance in multiple fields such as natural language understanding, signal processing, and computer vision. The property of translational invariance for convolutions has made a… Read full abstract & cite →

Image classification deep learning computer vision survey convolution neural networks IMAGENET dataset
14

University Course Timetabling Model in Joint Courses Program to Minimize the Number of Unserved Requests

Author 1: Purba Daru Kusuma Author 2: Abduh Sayid Albana

This work proposes a novel course timetable model for the national joint courses program. In this model, the participants, both students and lecturers, come from different universities. It is different from most existing university course timetabling models where the environment is physical, and the system can dictate the timeslots and… Read full abstract & cite →

Course timetabling joint course program artificial bee colony simulated annealing genetic algorithm online course
15

Symbolic Representation-based Melody Extraction using Multiclass Classification for Traditional Javanese Compositions

Author 1: Arry Maulana Syarif Author 2: Azhari Azhari Author 3: Suprapto Suprapto Author 4: Khafiizh Hastuti

Traditional Javanese compositions contain melodies and skeletal melodies. Skeletal melodies are an extraction form of melodies. The melody extraction problem is similar to the chord detection in Western music, where chords are extracted from a melody. This research aims to develop a melody extraction system for traditional Javanese compositions. Melodies… Read full abstract & cite →

Melody extraction symbolic representation-based multiclass classification feed-forward neural network Gamelan
16

LightGBM-based Ransomware Detection using API Call Sequences

Author 1: Duc Thang Nguyen Author 2: Soojin Lee

Along with the development of technology as well as the explosion in digital data in the era of fourth industrial revolution, cyberattacks using ransomware are emerging as a serious threat to many agencies and organizations. The harm of ransomware is not limited to the areas of information technology and finance… Read full abstract & cite →

Ransomware machine learning API call dynamic analysis technique gradient boosting decision tree GBDT lightGBM
17

Integrated Document-based Electronic Health Records Persistence Framework

Author 1: Aya Gamal Author 2: Sherif Barakat Author 3: Amira Rezk

Electronic health record systems work beyond just recording patients` health data. They have multiple secondary functionalities, such as data reporting and clinical decision support. As each of these systems` workloads has contradictory different needs, managing a multipurpose electronic health record is a challenge. This paper proposes a unified healthcare data… Read full abstract & cite →

Electronic health records operational business intelligence document data model NoSQL health information system persistence framework Couchbase server
18

Cyber Threat Intelligence in Risk Management

Author 1: Amira M. Aljuhami Author 2: Doaa M. Bamasoud

Cyber Threat Information (CTI) has emerged to help cybersecurity professionals keep abreast of and respond to rising cyber threats (CT) in real-time. This paper aims to study the impact of cyber threat intelligence on risk management in Saudi universities in mitigating cyber risks. In this survey, a comprehensive review of… Read full abstract & cite →

Cyber threat intelligence risk management cyberthreat cyber security
19

Expert’s Usability Evaluation of the Pelvic Floor Muscle Training mHealth App for Pregnant Women

Author 1: Aida Jaffar Author 2: Sherina Mohd Sidik Author 3: Novia Admodisastro Author 4: Evi Indriasari Mansor Author 5: Lau Chia Fong

Pelvic floor muscle training (PFMT) is the first line in managing urinary incontinence. Unfortunately, personal, and social barriers involvement hinder pregnant women to perform PFMT. Therefore, a Kegel Exercise Pregnancy Training (KEPT) app was developed to bridge the accessibility barriers among incontinent pregnant women. This study aimed to evaluate the… Read full abstract & cite →

Pregnant women pelvic floor muscle training mHealth app usability evaluation cognitive walkthrough heuristic evaluation
20

Aligning Software System Level with Business Process Level through Model-Driven Architecture

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

Information systems are intended to provide organisations with a new way of sustaining themselves, by helping them manage their activities using innovative technologies. Information systems require aligned levels for maximum effectiveness. In this context, business and information technology (IT) alignment is an important issue for the success of organisations. This… Read full abstract & cite →

Information system alignment business process software system Business Process Model and Notation (BPMN) Unified Modeling Language (UML) class diagram
21

A Review of Modern DNA-based Steganography Approaches

Author 1: Omar Haitham Alhabeeb Author 2: Fariza Fauzi Author 3: Rossilawati Sulaiman

In the last two decades, the field of DNA-based steganography has emerged as a promising domain to provide security for sensitive information transmitted over an untrusted channel. DNA is strongly nominated by researchers in this field to exceed other data covering mediums like video, image, and text due to its… Read full abstract & cite →

Information security in bioinformatics deoxyribonucleic acid-based steganography modern hiding approaches
22

Adaptive Logarithmic-Power Algorithm for Preserving the Brightness in Contrast Distorted Images

Author 1: Navleen S Rekhi Author 2: Jagroop S Sidhu

The digital images get distorted due to non-uniform light conditions or improper acquisition settings of the digital camera. Such factors lead to distorted contrast objects. In this work, we proposed adaptive enhancement algorithm to improve the contrast while preserving the mean brightness in the image. The method developed is a… Read full abstract & cite →

Non-uniform images gamma correction multi-scale 2D- discrete wavelet transform logarithmic-power quality metrics
23

A Meta-analytic Review of Intelligent Intrusion Detection Techniques in Cloud Computing Environment

Author 1: Meghana G Raj Author 2: Santosh Kumar Pani

Security and data privacy continue to be major considerations in the selection and study of cloud computing. Organizations are migrating more critical operations to the cloud, resulting in increase in the number of cloud vulnerability incidents. In recent years, there have been several technological advancements for accurate detection of attacks… Read full abstract & cite →

Intrusion detection system (IDS) machine learning computational intelligence algorithms hybrid meta-heuristic algorithms cloud security cloud computing
24

Machine Learning Mini Batch K-means and Business Intelligence Utilization for Credit Card Customer Segmentation

Author 1: Firman Pradana Rachman Author 2: Handri Santoso Author 3: Arko Djajadi

An effective marketing strategy is a method to identify the customers well. One of the methods is by performing a customer segmentation. This study provided an illustration of customer segmentation based on the RFM (Recency, Frequency, Monetary) analysis using a machine learning clustering that can be combined with customer segmentation… Read full abstract & cite →

Customer segmentation machine learning business intelligence data warehouse
25

RETRACTED: Intrusion Detection System for Energy Efficient Cluster based Vehicular Adhoc Networks

Author 1: M V B Murali Krishna M Author 2: C. Anbu Ananth Author 3: N. Krishna Raj

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 →

Clustering intrusion detection vehicular communication VANET machine learning krill herd optimization fuzzy logic
26

Chest Diseases Prediction from X-ray Images using CNN Models: A Study

Author 1: Latheesh Mangeri Author 2: Gnana Prakasi O S Author 3: Neeraj Puppala Author 4: Kanmani P

Chest Disease creates serious health issues for human beings all over the world. Identifying these diseases in earlier stages helps people to treat them early and save their life. Conventional Neural Networks play an important role in the health sector especially in predicting diseases in the earlier stages. X-rays are… Read full abstract & cite →

Convolutional neural networks VGG19 ResNet50V2 DenseNet201
27

Detection of Acute Myeloid Leukemia based on White Blood Cell Morphological Imaging using Naïve Bayesian Algorithm

Author 1: Esti Suryani Author 2: Wiharto Author 3: Adi Prasetya Putra Author 4: Wisnu Widiarto

The process of diagnosing AML is based on the complete blood-count analysis of the patients. As such, it involves high energy consumption, long completion times, and is rather expensive compared to conventional medical practices. One of the methods for identifying tumor cells involves the utilization of image-processing techniques based on… Read full abstract & cite →

Leukemia acute myeloid leukemia morphology image processing Naïve Bayes
28

Automatic Essay Scoring: A Review on the Feature Analysis Techniques

Author 1: Ridha Hussein Chassab Author 2: Lailatul Qadri Zakaria Author 3: Sabrina Tiun

Automatic Essay Scoring (AES) is the automatic process of identifying scores for a particular essay answer. Such a task has been extensively addressed by the literature where two main learning paradigms have been utilized: Supervised and Unsupervised. Within these paradigms, there is a wide range of feature analyses has been… Read full abstract & cite →

Automatic essay scoring automatic essay grading semantic analysis structure analysis string-based corpus-based word embedding
29

Forensic Analysis on False Data Injection Attack on IoT Environment

Author 1: Saiful Amin Sharul Nizam Author 2: Zul-Azri Ibrahim Author 3: Fiza Abdul Rahim Author 4: Hafizuddin Shahril Fadzil Author 5: Haris Iskandar Mohd Abdullah Author 6: Muhammad Zulhusni Mustaffa

False Data Injection Attack (FDIA) is an attack that could compromise Advanced Metering Infrastructure (AMI) devices where an attacker may mislead real power consumption by falsifying meter usage from end-users smart meters. Due to the rapid development of the Internet, cyber attackers are keen on exploiting domains such as finance… Read full abstract & cite →

Advanced Metering Infrastructure (AMI) False Data Injection Attack (FDIA) man in the middle (MITM) internet of things (IoT) forensic analysis
30

Design of Decentralized Application for Telemedicine Image Record System with Smart Contract on Ethereum

Author 1: Darrell Yonathan Author 2: Diyanatul Husna Author 3: Fransiskus Astha Ekadiyanto Author 4: I Ketut Eddy Purnama Author 5: Afif Nurul Hidayati Author 6: Mauridhi Hery Purnomo Author 7: Supeno Mardi Susiki Nugroho Author 8: Reza Fuad Rachmadi Author 9: Ingrid Nurtanio Author 10: Anak Agung Putri Ratna

This paper discusses the implementation of smart contracts on the Ethereum blockchain system for telemedicine data storage. Telemedicine is one of the currently developing digital technologies in the health and medical sectors. Telemedicine can be more efficient when seeking treatment because patients do not need to see a doctor face… Read full abstract & cite →

Blockchain Ethereum smart contract telemedicine
31

Multi-lane LBP-Gabor Capsule Network with K-means Routing for Medical Image Analysis

Author 1: Patrick Kwabena Mensah Author 2: Anokye Acheampong Amponsah Author 3: Kwame Baffour Agyemang Author 4: Gabriel Kofi Armah Author 5: Abra Ayidzoe Author 6: Faiza Umar Bawah Author 7: Adebayor Felix Adekoya Author 8: Benjamin Asubam Weyori Author 9: Mark Amo-Boateng

Medical images naturally occur in smaller quantities and are not balanced. Some medical domains such as radiomics involve the analysis of images to diagnose a patient’s condition. Often, images of sick inaccessible parts of the body are taken for analysis by experts. However, medical experts are scarce, and the manual… Read full abstract & cite →

Convolutional neural networks deep learning Gabor filters k-means routing local binary pattern power squash introduction
32

Healthcare Misinformation Detection and Fact-Checking: A Novel Approach

Author 1: Yashoda Barve Author 2: Jatinderkumar R. Saini

Information gets spread rapidly in the world of the internet. The internet has become the first choice of people for medication tips related to their health problems. However, this ever-growing usage of the internet has also led to the spread of misinformation. The misinformation in healthcare has severe effects on… Read full abstract & cite →

Misinformation detection sentiment analysis document similarity fact-check healthcare
33

Evaluating Deep and Statistical Machine Learning Models in the Classification of Breast Cancer from Digital Mammograms

Author 1: Amel A. Alhussan Author 2: Nagwan M. Abdel Samee Author 3: Vidan F. Ghoneim Author 4: Yasser M. Kadah

The application of artificial intelligence techniques in computer aided detection and diagnosis problems has been among the most promising areas with interest from the scientific community and healthcare industry. Recently, deep learning has become the prime tool for such application with many studies focusing on developing variants that optimize diagnostic… Read full abstract & cite →

Computer-aided detection computer-aided diagnosis statistical machine learning deep learning
34

Arabic Document Classification by Deep Learning

Author 1: Taghreed Alghamdi Author 2: Samia Snoussi Author 3: Lobna Hsairi

In this paper, we show how to classify Arabic document images using a convolutional neural network, which is one of the most common supervised deep learning algorithms. The main goal of using deep learning is its ability to automatically extract useful features from images, which eliminates the need for a… Read full abstract & cite →

Arabic document document classification deep learning convolutional neural network (CNN) pre_trained network
35

Comparative Analysis of Data Mining Algorithms for Cancer Gene Expression Data

Author 1: Preeti Thareja Author 2: Rajender Singh Chhillar

Cancer is amongst the most challenging disorders to diagnose nowadays, and experts are still struggling to detect it on early stage. Gene selection is significant for identifying cancer-causing different parameters. The two deadliest cancers namely, colorectal cancer and breast malignant, is found in male and female, respectively. This study aims… Read full abstract & cite →

Colorectal cancer breast cancer bioinformatics data mining WEKA machine learning
36

Proactive Virtual Machine Scheduling to Optimize the Energy Consumption of Computational Cloud

Author 1: Shailesh Saxena Author 2: Mohammad Zubair Khan Author 3: Ravendra Singh Author 4: Abdulfattah Noorwali

The rapid expansion of communication and computational technology provides us the opportunity to deal with the bulk nature of dynamic data. The classical computing style is not much effective for such mission-critical data analysis and processing. Therefore, cloud computing is become popular for addressing and dealing with data. Cloud computing… Read full abstract & cite →

Cloud computing CO2 proactive scheduling unsupervised learning clustering energy prediction cloud-sim performance assessment
37

Expert Review on Mobile Augmented Reality Applications for Language Learning

Author 1: Nur Asylah Suwadi Author 2: Nazatul Aini Abd Majid Author 3: Meng Chun Lam Author 4: Nor Hashimah Jalaluddin Author 5: Junaini Kasdan Author 6: Aznur Aisyah Abdullah Author 7: Afifuddin Husairi Hussain Author 8: Azlan Ahmad Author 9: Daing Zairi Maarof

Many mobile applications that can increase user engagement and promote self-learning have been developed to date. Nevertheless, mobile applications specific to Malay language learning for non-native speakers with relevant materials are still lacking. Moreover, expert reviews are needed to identify usability issues and check whether such applications can meet the… Read full abstract & cite →

AR expert review HCI language learning mobile application self-learning
38

Arabic Semantic Similarity Approach for Farmers’ Complaints

Author 1: Rehab Ahmed Farouk Author 2: Mohammed H. Khafagy Author 3: Mostafa Ali Author 4: Kamran Munir Author 5: Rasha M.Badry

Semantic similarity is applied for many areas in Natural Language Processing, such as information retrieval, text classification, plagiarism detection, and others. Many researchers used semantic similarity for English texts, but few used for Arabic due to the ambiguity of Arabic concepts in both sense and morphology. Therefore, the first contribution… Read full abstract & cite →

Semantic similarity latent semantic analysis big data MapReduce SVM COVID-19 agriculture farmer's complaint
39

An NB-ANN based Fusion Approach for Disease Genes Prediction and LFKH-ANFIS Classifier for Eye Diseases Identification

Author 1: Samar Jyoti Saikia Author 2: S. R. Nirmala

A key step to apprehend the mechanisms of cells related to a particular disease is the disease gene identification. Computational forecast of disease genes are inexpensive and also easier compared to biological experiments. Here, an effectual deep learning-centered fusion algorithm called Naive Bayes-Artificial Neural Networks (NB-ANN) is proposed aimed at… Read full abstract & cite →

Disease gene identification eye disease identification deep learning adaptive neuro-fuzzy inferences system (ANFIS) levy flight based krill herd (LFKH) principle component analysis (PCA)
40

Load Balanced and Energy Aware Cloud Resource Scheduling Design for Executing Data-intensive Application in SDVC

Author 1: Shalini. S Author 2: Annapurna P Patil

Cloud computational platform provisions numerous cloud-based Vehicular Adhoc Network (VANET) applications. For providing better bandwidth and connectivity in dynamic manner, Software Defined VANET (SDVN) is developed. Using SDVN, new VANET framework are modeled; for example, Software Defined Vehicular Cloud (SDVC). In SDVC, the vehicle enables virtualization technology through SDVN and… Read full abstract & cite →

Cloud computing data-intensive applications heterogenous server IEEE 802.11p software defined network software defined vehicular cloud vehicular adhoc network workload scheduling road side unit vehicular edge cloud
41

Design and Implementation of Collaborative Management System for Effective Learning

Author 1: Tochukwu A. Ikwunne Author 2: Wilfred Adigwe Author 3: Christopher C. Nnamene Author 4: Noah Oghenefego Ogwara Author 5: Henry A. Okemiri Author 6: Chinedu E. Emenike

Recently, the need for online collaborative learning in educational systems have increased greatly because of COVID-19 pandemic. The pandemic has provided an opportunity for introducing online collaboration and learning among instructors and students in Nigeria. Currently, several schools, colleges, universities in Nigeria have discontinued face to face teaching and learning… Read full abstract & cite →

Collaborative learning conventional education effective learning e-portfolio interactive board
42

Selection of Learning Apps to Promote Critical Thinking in Programming Students using Fuzzy TOPSIS

Author 1: Kesarie Singh Author 2: Nalindren Naicker Author 3: Mogiveny Rajkoomar

The aim of this research was to use intelligent decision support systems to obtain student-centred preferences for learning applications to promote critical thinking in first year programming students. This study focuses on the visual programming environment and critical thinking as the gateway skill for student success in understanding programming. Twenty-five… Read full abstract & cite →

Critical thinking visual programming environment multi-criteria decision-making fuzzy TOPSIS
43

Complex Plane based Realistic Sound Generation for Free Movement in Virtual Reality

Author 1: Kwangki Kim

A binaural rendering is a technology that generates a realistic sound for a user with a stereo headphone, so it is essential for the stereo headphone based virtual reality (VR) service. However, the binaural rendering has a problem that it cannot reflect the user's free movement in the VR. Because… Read full abstract & cite →

Virtual reality realistic sound binaural rendering constant power panning head related transfer function
44

Reverse Vending Machine Item Verification Module using Classification and Detection Model of CNN

Author 1: Razali Tomari Author 2: Nur Syahirah Razali Author 3: Nurul Farhana Santosa Author 4: Aeslina Abdul Kadir Author 5: Mohd Fahrul Hassan

Reverse vending machine (RVM) is an interactive platform that can boost recycling activities by rewarding users that return the recycle items to the machine. To accomplish that, the RVM should be outfitted with material identification module to recognize different sort of recyclable materials, so the user can be rewarded accordingly… Read full abstract & cite →

Convolutional neural network (CNN) classification detection reverse vending machine (RVM) You Only Look Once (YOLO)
45

How to Analyze Air Quality During the COVID-19 Pandemic? An Answer using Grey Systems

Author 1: Alexi Delgado Author 2: Denilson Pongo Author 3: Katherine Felipa Author 4: Kiara Saavedra Author 5: Lorena Torres Author 6: Ch. Carbajal

The Peruvian government declared a State of National Emergency due to the spread of COVID-19 where the closure of businesses, companies and home isolation was imposed from 03/15/2020 to 06/30/2020. In this context, the research focused on analyzing the characteristics of the air quality in Lima during said period compared… Read full abstract & cite →

Air quality COVID 19 grey systems grey clustering
46

Indonesia Sign Language Recognition using Convolutional Neural Network

Author 1: Suci Dwijayanti Author 2: Hermawati Author 3: Sahirah Inas Taqiyyah Author 4: Hera Hikmarika Author 5: Bhakti Yudho Suprapto

In daily life, the deaf use sign language to communicate with others. However, the non-deaf experience difficulties in understanding this communication. To overcome this, sign recognition via human-machine interaction can be utilized. In Indonesia, the deaf use a specific language, referred to as Indonesia Sign Language (BISINDO). However, only a… Read full abstract & cite →

Indonesia sign language (BISINDO) recognition CNN lighting
47

Increasing Randomization of Ciphertext in DNA Cryptography

Author 1: Maria Imdad Author 2: Sofia Najwa Ramli Author 3: Hairulnizam Mahdin

Deoxyribonucleic acid (DNA) cryptography is becoming an emerging area in hiding messages, where DNA bases are used to encode binary data to enhance the randomness of the ciphertext. However, an extensive study on existing algorithms indicates that the encoded ciphertext has a low avalanche effect of providing a desirable confusion… Read full abstract & cite →

DNA cryptography avalanche effect frequency test entropy hamming weight
48

Multistage Sentiment Classification Model using Malaysia Political Ontology

Author 1: Nur Farhana Ismail Author 2: Nur Atiqah Sia Abdullah Author 3: Zainura Idrus

Now-a-days, people use social media platforms such as Facebook, Twitter, and Instagram to share their opinions on particular entities or services. The sentiment analysis can get the polarity of these opinions, especially in the political domain. However, in Malaysia, current sentiment analysis can be inaccurate when the netizen tempts to… Read full abstract & cite →

Malay corpus political ontology sentiment analysis sentiment classification social media
49

Factors Impacting Users’ Compliance with Information Security Policies: An Empirical Study

Author 1: Latifa Alzahrani

One of the main concerns for organizations in today's connected world is to find out how employees follow the information security policy (ISP), as the internal employee has been identified as the weakest link in all breaches of the security policies. Several studies have examined ISP compliance from a dissuasive… Read full abstract & cite →

Information security users’ compliance compliance factors security education systems information security policies
50

The Application of Image Processing in Liver Cancer Detection

Author 1: Meenu Sharma Author 2: Rafat Parveen

Hepatic cancer is caused by the uncontrolled growth of liver cells, an HCC is the most common form of malignant liver cancer, accounting for 75 percent of cases. This tumor is difficult to diagnose, and it is often discovered at an advanced stage, posing a life-threatening danger. As a result… Read full abstract & cite →

Liver cancer digital image processing magnetic resonance imaging early stage
51

Automating Time Series Forecasting on Crime Data using RNN-LSTM

Author 1: J Vimala Devi Author 2: K S Kavitha

Criminal activities, be it violent or non-violent are major threats to the safety and security of people. Frequent Crimes are the extreme hindrance to the sustainable development of a nation and thus need to be controlled. Often Police personnel seek the computational solution and tools to realize impending crimes and… Read full abstract & cite →

Time series analysis deep learning RNN forecasting crime data predictive policing machine learning
52

Level Transducer Circuit Implemented by Ultrasonic Sensor and Controlled with Arduino Nano for its Application in a Water Tank of a Fire System

Author 1: Omar Chamorro-Atalaya Author 2: Dora Arce-Santillan Author 3: Guillermo Morales-Romero Author 4: Adrián Quispe-Andía Author 5: Nicéforo Trinidad-Loli Author 6: Elizabeth Auqui-Ramos Author 7: César León-Velarde Author 8: Edith Gutiérrez-Zubieta

This article aims to describe the design of a circuit of a level transducer implemented by means of an ultrasonic sensor and controlled by Arduino Nano, applied to a water tank of a firefighting system. Initially, the integration of the Siemens 1212C programmable logic controller is described, in the connection… Read full abstract & cite →

Level transducer ultrasonic sensor Arduino Nano control pulse width
53

Improvement of Deep Learning-based Human Detection using Dynamic Thresholding for Intelligent Surveillance System

Author 1: Wahyono Author 2: Moh. Edi Wibowo Author 3: Ahmad Ashari Author 4: Muhammad Pajar Kharisma Putra

Human detection plays an important role in many applications of the intelligent surveillance system (ISS), such as person re-identification, human tracking, people counting, etc. On the other hand, the use of deep learning in human detection has provided excellent accuracy. Unfortunately, the deep-learning method is sometimes unable to detect objects… Read full abstract & cite →

Human detection YOLO dynamic thresholding intelligent surveillance system
54

Forecast Breast Cancer Cells from Microscopic Biopsy Images using Big Transfer (BiT): A Deep Learning Approach

Author 1: Md. Ashiqul Islam Author 2: Dhonita Tripura Author 3: Mithun Dutta Author 4: Md. Nymur Rahman Shuvo Author 5: Wasik Ahmmed Fahim Author 6: Puza Rani Sarkar Author 7: Tania Khatun

Now-a-days, breast cancer is the most crucial problem amongst men and women. A massive number of people are invaded with breast cancer all over the world. An early diagnosis can help to save lives with proper treatment. Recently, computer-aided diagnosis is becoming more popular in medical science as well as… Read full abstract & cite →

Convolutional neural network (CNN) breast cancer Big Transfer (BiT) densenet-201 NasNet-Large Inception-Resnet-v3 mammography
55

Mobile Application with Augmented Reality to Improve Learning in Science and Technology

Author 1: Miriam Gamboa-Ramos Author 2: Ricardo Gómez-Noa Author 3: Orlando Iparraguirre-Villanueva Author 4: Michael Cabanillas-Carbonell Author 5: José Luis Herrera Salazar

Education has taken a big turn due to the current health situation, and as a result the use of technology has become a great ally of education, achieving important benefits. Augmented reality is being used by teachers and students especially in distance and/or face-to-face learning through didactic learning, self-instruction and… Read full abstract & cite →

Augmented reality learning mobile application Mobile D methodology
56

Learning Pick to Place Objects using Self-supervised Learning with Minimal Training Resources

Author 1: Marwan Qaid Mohammed Author 2: Lee Chung Kwek Author 3: Shing Chyi Chua

Grasping objects is a critical but challenging aspect of robotic manipulation. Recent studies have concentrated on complex architectures and large, well-labeled data sets that need extensive computing resources and time to achieve generalization capability. This paper proposes an effective grasp-to-place strategy for manipulating objects in sparse and chaotic environments. A… Read full abstract & cite →

Self-supervised pick-to-place robotics deep q-network
57

Time Line Correlative Spectral Processing for Stratification of Blood Pressure using Adaptive Signal Conditioning

Author 1: Santosh Shinde Author 2: Pothuraju RajaRajeswari

Stratification of Blood Pressure is essential input in most of the cardiovascular diseases detection and prediction and is also a great aid to medical practitioners in dealing with Hypertension. Denoising based on spectral coding is developed based on frequency spectral decomposition and a spectral correlative approach based on wavelet transform… Read full abstract & cite →

Stratification of blood pressure discrete wavelet transform spectral coding and selective correlative approach
58

SMAD: Text Classification of Arabic Social Media Dataset for News Sources

Author 1: Amira M. Gaber Author 2: Mohamed Nour El-din Author 3: Hanan Moussa

Due to the advances in technology, social media has become the most popular means for the propagation of news. Many news items are published on social media like Facebook, Twitter, Instagram, etc. but are not categorized into various different domains, such as politics, education, finance, art, sports, and health. Thus… Read full abstract & cite →

Text classification Arabic text classification Arabic Natural Language Processing (ANLP)
59

P Systems Implementation: A Model of Computing for Biological Mitochondrial Rules using Object Oriented Programming

Author 1: Mohammed M. Nasef Author 2: Bishoy El-Aarag Author 3: Amal Hashim Author 4: Passent M. El Kafrawy

Membrane computing is a computational framework that depends on the behavior and structure of living cells. P systems are arising from the biological processes which occur in the living cells’ organelles in a non-deterministic and maximally parallel manner. This paper aims to build a powerful computational model that combines the… Read full abstract & cite →

Computational biology P systems membranes fusion – fission mitochondria Mutual Dynamic Membranes (MDM) NP- complete problems
60

Skin Lesions Classification and Segmentation: A Review

Author 1: Marzuraikah Mohd Stofa Author 2: Mohd Asyraf Zulkifley Author 3: Muhammad Ammirrul Atiqi Mohd Zainuri

An automated intelligent system based on imaging input for unbiased diagnosis of skin-related diseases is an essential screening tool nowadays. This is because visual and manual analysis of skin lesion conditions based on images is a time-consuming process that puts a significant workload on health practitioners. Various machine learning and… Read full abstract & cite →

Lesion segmentation lesion classification machine learning deep learning skin lesions
61

The Development of Borneo Wildlife Game Platform

Author 1: Ramadiani Ramadiani Author 2: Erdinal Respatti Author 3: Gubta Mahendra Putra Author 4: Muhammad Labib Jundillah Author 5: Tamrin Rahman Author 6: Muhammad Dahlan Balfas Author 7: Arda Yunianta Author 8: Hasan Jamal Alyamani

Games are a unique, interesting, and fun entertainment medium. Games can contain education, introduction to certain flora and fauna, work and daily life, intelligence and dexterity. The game built in this study aims to introduce the flora and fauna found in the forests of East Borneo (Kalimantan), Indonesia as the… Read full abstract & cite →

Game development Kalimantan Borneo wildlife game
62

Design of a Novel Architecture for Cost-Effective Cloud-based Content Delivery Network

Author 1: Suman Jayakumar Author 2: Prakash S Author 3: C. B Akki

Content Delivery Network (CDN) offers faster transmission of massive content from content providers to users using servers that are distributed geographically to offer seamless relay of service. However, conventional CDN is not capable of catering to the larger scope of demand for data delivery, and hence cloud-based CDN evolves as… Read full abstract & cite →

Content delivery network content placement cloud optimization data delivery cost
63

Intelligent Locking System using Deep Learning for Autonomous Vehicle in Internet of Things

Author 1: S. Zaleha. H Author 2: Nora Ithnin Author 3: Nur Haliza Abdul Wahab Author 4: Noorhazirah Sunar

Now-a-days, we are using modern locking system application to lock and unlock our vehicle. The most common method is by using key to unlock our car from outside, pressing unlock button inside our car to unlock the door and many vehicles are using keyless entry remote control for unlocking their… Read full abstract & cite →

Face recognition deep learning internet of things convolution neural networks
64

A Case Study on Social Media Analytics for Malaysia Budget

Author 1: Ahmad Taufiq Mohamad Author 2: Nur Atiqah Sia Abdullah

Malaysia citizen always looks forward to the budget announcement, which is presented by the government each year. Due to the direct effect on the economy, the citizens' opinions are crucial in understanding what they want and whether the budget satisfies them or not. Social media analytics can gather netizens’ opinions… Read full abstract & cite →

Malaysia budget twitter social media analytics sentiment analysis category classification budget corpus
65

A Pattern Language for Class Responsibility Assignment for Business Applications

Author 1: Soojin Park

Assigning class responsibility is a design decision to be made early in the design phase in software development, which bridges requirements and an analysis model. In general, assigning class responsibility relies heavily on the expertise and experience of the developer, and it is often ad-hoc. Class responsibility assignment rules are… Read full abstract & cite →

Class responsibility assignment analysis pattern business application sequence diagram
66

Implementing Flipped Classroom Strategy in Learning Programming

Author 1: Rosnizam Eusoff Author 2: Syahanim Mohd Salleh Author 3: Abdullah Mohd Zin

Novice students encountered many difficulties and challenges when learning to program. They face problems in terms of high cognitive load in learning and lack of prior programming knowledge. Various strategies and approaches are implemented to overcome the difficulties and challenges in programming. A flipped classroom is an active learning strategy… Read full abstract & cite →

Flipped classroom learning programming cognitive load active learning focus group discussion
67

High Density Impulse Noise Removal from Color Images by K-means Clustering based Detection and Least Manhattan Distance-oriented Removal Approach

Author 1: Aritra Bandyopadhyay Author 2: Kaustuv Deb Author 3: Atanu Das Author 4: Rajib Bag

Removal of impulse noise from color images is a stringent job in the arena of image processing. Impulse noise is fundamental of two types: Salt and pepper noise (SAPN) and Random valued impulse noise (RVIN). The key challenge in impulse noise removal from color images lies in tackling out the… Read full abstract & cite →

Impulse noise color image salt and pepper noise random valued impulse noise
68

MultiStage Authentication to Enhance Security of Virtual Machines in Cloud Environment

Author 1: Anitha HM Author 2: P Jayarekha

The adoption of cloud computing in different areas has shown benefits and given solutions to applications. The cloud provider offers virtualized platforms through virtual machines for the cloud users to store the data and perform computations. Due to the distributed nature of cloud, there are many challenges and security is… Read full abstract & cite →

Authentication multi stage authentication one time password finite state machine mealy machine
69

Computer Vision based Polyethylene Terephthalate (PET) Sorting for Waste Recycling

Author 1: Ouiem Bchir Author 2: Shahad Alghannam Author 3: Norah Alsadhan Author 4: Raghad Alsumairy Author 5: Reema Albelahid Author 6: Monairh Almotlaq

Recycling plays a vital role in saving the planet for future generations as it allows keeping a clean environment, reducing energy consumption, and saving materials. Of special interest is the plastic material which may take centuries to decompose. In particular, the Polyethylene Terephthalate (PET) is a widely used plastic for… Read full abstract & cite →

PET recycling computer vision machine learning
70

A New Approach for Training Cobots from Small Amount of Data in Industry 5.0

Author 1: Khalid Jabrane Author 2: Mohammed Bousmah

Machine learning is a vital part of today's world. Although the current Machine Learning slogan is “big data is required for a smarter AI”. All Artificial Intelligence learning techniques require the training of algorithms with huge data. Collecting and storing this data takes time and requires increasing computer memory. In… Read full abstract & cite →

Small data industry 5.0 common-sense capability machine learning
71

Evaluation of using Parametric and Non-parametric Machine Learning Algorithms for Covid-19 Forecasting

Author 1: Ghada E. Atteia Author 2: Hanan A. Mengash Author 3: Nagwan Abdel Samee

Machine learning prediction algorithms are considered powerful tools that could provide accurate insights about the spread and mortality of the novel Covid-19 disease. In this paper, a comparative study is introduced to evaluate the use of several parametric and non-parametric machine learning methods to model the total number of Covid-19… Read full abstract & cite →

Covid-19 parametric regression non-parametric regression linear regression log regression polynomial regression generative additive regression spline regression k-nearest neighborhood KNN support vector machine SVM decision trees DT
72

Comparison of Machine Learning Algorithms for Sentiment Classification on Fake News Detection

Author 1: Yuzi Mahmud Author 2: Noor Sakinah Shaeeali Author 3: Sofianita Mutalib

With the wide usage of World Wide Web (WWW) and social media platforms, fake news could become rampant among the users. They tend to create and share the news without knowing the authenticity of it. This would become the most critical issues among the societies due to the dissemination of… Read full abstract & cite →

Data mining fake news sentiment classification supervised machine learning text mining
73

Performance Analysis of IoT-based Healthcare Heterogeneous Delay-sensitive Multi-Server Priority Queuing System

Author 1: Barbara Kabwiga Asingwire Author 2: Alexander Ngenzi Author 3: Louis Sibomana Author 4: Charles Kabiri

Previous studies have considered scheduling schemes for Internet of Things (IoT)-based healthcare systems like First Come First Served (FCFS), and Shortest Job First (SJF). However, these scheduling schemes have limitations that range from large requests starving short requests, process starvation that results in long time to complete if short processes… Read full abstract & cite →

Delay tolerant delay sensitive internet of things mean slowdown prioritized scheme
74

A Survey on Sentiment Analysis Approaches in e-Commerce

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

Sentiment analysis represents the process of judging customers’ behavior expression and feeling as either positive, negative or neutral. Hence, a tangle of different approaches for sentiment analysis is being used, reflecting analysis of unstructured customers’ reviews dataset to guide and generate insightful and helpful information. The aim of this paper… Read full abstract & cite →

Sentiment analysis e-Commerce feature extraction classification customers’ reviews
75

Assessment Framework for Defining the Maturity of Information Technology within Enterprise Risk Management (ERM)

Author 1: Rokhman Fauzi Author 2: Muharman Lubis

The process of reviewing, assessing and improving the organization's IT risk management requires some basic information summarized in a process maturity profile. In general, IT risk management standards or frameworks do not include a mechanism for assessing the maturity level of process implementations. This study was conducted to develop a… Read full abstract & cite →

Risk management assessment framework maturity level PDCA cycles ISO/IEC 27005
76

Using Eye Tracking Approach in Analyzing Social Network Site Area of Interest for Consumers’ Decision Making in Social Commerce

Author 1: Suaini Binti Sura Author 2: Nona M. Nistah Author 3: Sungwon Lee Author 4: Daimler Benz Alebaba

The growing popularity of social network site (SNS) in social commerce (s-commerce) has intensified interest in understanding consumers decision making based on the SNS seller generated content (SGC) and user generated content (UGC). This study examines consumers’ decision making while doing online shopping by analyzing both SNS’s seller-user generated content… Read full abstract & cite →

Eye tracking SNS-based commerce seller generated content user generated content social commerce
77

Chatbot Design for a Healthy Life to Celiac Patients: A Study According to a New Behavior Change Model

Author 1: Eythar Alghamdi Author 2: Reem Alnanih

There is an absolute need for technology in our daily life that makes people busy with their smartphones all day long. In the healthcare field, mobile apps have been widely used for the treatment of many diseases. Most of these apps were designed without considering health behavior change models. Celiac… Read full abstract & cite →

Celiac disease health behavior changes models healthcare apps user-centered design experiment test WhatsApp chatbot
78

Design of Optimal Control of DFIG-based Wind Turbine System through Linear Quadratic Regulator

Author 1: Ines Zgarni Author 2: Lilia ElAmraoui

This paper is devoted to implement an optimal control approach applying Linear Quadratic Regulator (LQR) to control a DFIG based Wind Turbine. The main goal of proposed LQR Controller is to achieve the active and reactive power and the DC-link voltage control of DFIG system in order to extract the… Read full abstract & cite →

Wind turbine system doubly fed induction generator DFIG optimal control linear quadratic regulator LQR
79

Mask RCNN with RESNET50 for Dental Filling Detection

Author 1: S Aparna Author 2: Kireet Muppavaram Author 3: Chaitanya C V Ramayanam Author 4: K Satya Sai Ramani

Teeth are very important for humans to eat food. However, teeth do get damaged for several reasons, like poor maintenance. Damaged teeth can cause severe pain and make it difficult to eat food. To safeguard the tooth from minor damages, an inert material is used to close the gap between… Read full abstract & cite →

Dental x-rays deep learning mask RCNN RESNET50
80

Performance Analysis of Qualitative Evaluation Model for Software Reuse with AspectJ using AHP

Author 1: Ravi Kumar Author 2: Dalip

Reusability is necessary for developing advance software. Aspect Oriented programming is an emerging approach which understand the problem of arrangement of scattered software modules and tangled code. The aim of this paper is to explore the AOP approach with implementation of real life projects in AspectJ language and its impact… Read full abstract & cite →

Reusability AspectJ software quality metrics analytic hierarchy process
81

Analysis of the Asynchronous Motor Controlled by Frequency Inverter Applied to Fatigue Test System

Author 1: Nel Yuri Huaita Ccallo Author 2: Omar Chamorro-Atalaya

This research focuses on analyzing the functional and operational parameters of the three-phase induction motor, squirrel cage type; Where the experimental model consists of a fatigue test system operated by two types of control: Control by Frequency Inverter and Classic star-delta control, where the engine load consists of a standard… Read full abstract & cite →

Induction torque frequency inverter (VDF) current harmonic temperature
82

Heuristic Algorithm for Automatic Extraction Relational Data from Spreadsheet Hierarchical Tables

Author 1: Arwa Awad Author 2: Rania Elgohary Author 3: Ibrahim Moawad Author 4: Mohamed Roushdy

Spreadsheets are contained critical information on various topics and were most broadly utilized in numerous spaces. There are a huge amount of spreadsheet clients everywhere in the world. Spreadsheets provide considerable flexibility for data structure organization. As well as it gives their makers an enormous level of opportunity to encode… Read full abstract & cite →

Spreadsheet table analysis hierarchal table structure cell classification heuristic algorithm relational data extraction
83

Effective Controlling Scheme to Mitigate Flood Attack in Delay Tolerant Network

Author 1: Hanane ZEKKORI Author 2: Saïd AGOUJIL Author 3: Youssef QARAAI

Conventional routing protocols breaks down in opportunistic networks due to long delays, frequent disconnectivity and resource scarcity. Delay Tolerant Network (DTN) has been developed to cope with these mentioned features. In the absence of connected link between the sender and the receiver, in DTN mobile nodes replicate bundles and work… Read full abstract & cite →

DTN flooding attack DOS congestion buffer capacity bundle ONE
84

Efficient DNN Ensemble for Pneumonia Detection in Chest X-ray Images

Author 1: V S Suryaa Author 2: Arockia Xavier Annie R Author 3: Aiswarya M S

Pneumonia is a disease caused by a variety of organisms, including bacteria, viruses, and fungi, which could be fatal if timely medical care is not provided. According to the World Health Organization (WHO) report, the most common diagnosis for severe COVID-19 is severe pneumonia. The most common method of detecting… Read full abstract & cite →

Deep neural networks ensemble learning pneumonia detection using x-ray images transfer learning
85

Delivery of User Intentionality between Computer and Wearable for Proximity-based Bilateral Authentication

Author 1: Jaeseong Jo Author 2: Eun-Kyu Lee Author 3: Junghee Jo

Recent research discovers that delivering user intentionality for authentication resolves a random authentication problem in a proximity-based authentication. However, they still have limitations – energy issue, inaccurate data consistency, and vulnerability to shoulder surfing. To resolve them, this paper proposes a new method for user intent delivery and a new… Read full abstract & cite →

Security authentication internet of things user intentionality proximity-based authentication bilateral
86

Digital Preoperative Planning for High Tibial Osteotomy using 2D Medical Imaging

Author 1: Norazimah Awang Author 2: Faudzi Ahmad Author 3: Rosnita A. Rahaman Author 4: Riza Sulaiman Author 5: Azrulhizam Shapi’i Author 6: Abdul Halim Abdul Rashid

The pre-operative planning process for High Tibial Osteotomy (HTO) is vital to correct the deformity of the long bones. The most important process is needed to find the Centre Of Rotation of Angulation (CORA) and display the forecast result based on the value of the correction angles simultaneously. Presently, these… Read full abstract & cite →

Center of rotation of angulation CORA HTO software digital medical image
87

Using Transfer Learning for Nutrient Deficiency Prediction and Classification in Tomato Plant

Author 1: Vrunda Kusanur Author 2: Veena S Chakravarthi

Plants need nutrients to develop normally. The essential nutrients like carbon, oxygen, and hydrogen are obtained from sunlight, air, and water to prepare food and plant growth. For healthy growth, plants also need macronutrients such as Potassium, Calcium, Nitrogen, Sulphur, Magnesium, and Phosphorus in relatively great quantities. When a plant… Read full abstract & cite →

Nutrient deficiency plant nutrients deep neural networks transfer learning random forest (RF) support vector machine (SVM)
88

A New Protection Scheme for Biometric Templates based on Random Projection and CDMA Principle

Author 1: Ayoub Lahmidi Author 2: Khalid Minaoui Author 3: Chouaib Moujahdi Author 4: Mohammed Rziza

Although biometric technologies have revolution-ized the world of communication and dematerialized exchanges, authentication by biometrics still has many limitations, particu-larly in terms of privacy concerns, due to the various potential threats to which biometric templates are subject. The existence of these vulnerabilities has created an enormous need for biometric data… Read full abstract & cite →

Biometric template security authentication CDMA random projection
89

Verifiable Homomorphic Encrypted Computations for Cloud Computing

Author 1: Ruba Awadallah Author 2: Azman Samsudin Author 3: Mishal Almazrooie

Cloud computing is becoming an essential part of computing, especially for enterprises. As the need for cloud computing increases, the need for cloud data privacy, con-fidentially, and integrity are also becoming essential. Among potential solutions, homomorphic encryption can provide the needed privacy and confidentiality. Unlike traditional cryptosys-tem, homomorphic encryption allows… Read full abstract & cite →

Cloud computing computation verification data confidentiality data integrity data privacy distributed processing homomorphic encryption
90

Multi-logic Rulesets based Junction-point Movement Controller Framework for Traffic Streamlining in Smart Cities

Author 1: Sreelatha R Author 2: Roopalakshmi R

In the internet era, Intelligent Transportation Sys-tem (ITS) for smart cities is gaining tremendous attention since it offers intelligent smart services for traffic monitoring and management with the help of different technologies such as micro-electronics, sensors and IoT. However, in the existing literature, very few attempts are made towards effective… Read full abstract & cite →

Intelligent transportation systems junction-point traffic monitoring ruleset database traffic density estimation
91

Employing Video-based Motion Data with Emotion Expression for Retail Product Recognition

Author 1: Ahmad B. Alkhodre Author 2: Abdullah M. Alshanqiti

Mining approaches based on video data can serve in identifying stores’ performance by gaining insight into what needs to be proceeded to further enhance customers’ experience, leading to increased business profits. To this end, this paper proposes an association rule mining approach, depending on video analytic techniques, for detecting store-items… Read full abstract & cite →

Shopper Behavior motion tracking emotion clas-sification machine learning association rule learning
92

Hybrid Model of Quantum Transfer Learning to Classify Face Images with a COVID-19 Mask

Author 1: Christian Soto-Paredes Author 2: Jose Sulla-Torres

The problem of the COVID-19 disease has deter-mined that about 219 million people have contracted it, of which 4.55 million died. This importance has led to the implementation of security protocols to prevent the spread of this disease. One of the main protocols is to use protective masks that properly… Read full abstract & cite →

hybrid quantum classify face COVID-19 mask
93

Code Optimizations for Parallelization of Programs using Data Dependence Identifier

Author 1: Kavya Alluru Author 2: Jeganathan L

In a Parallelizing Compiler, code transformations help to reduce the data dependencies and identify parallelism in a code. In our earlier paper, we proposed a model Data Dependence Identifier (DDI), in which a program P is represented as graph GP . Using 􀀀􀀀 , we could identify data dependencies in… Read full abstract & cite →

Automatic parallelization parallelizing compilers code optimizations data dependence loop invariant code motion node splitting live range analysis loop fusion
94

A Novel Deep Learning-based Online Proctoring System using Face Recognition, Eye Blinking, and Object Detection Techniques

Author 1: Istiak Ahmad Author 2: Fahad AlQurashi Author 3: Ehab Abozinadah Author 4: Rashid Mehmood

Distance and online learning (or e-learning) has become a norm in training and education due to a variety of benefits such as efficiency, flexibility, affordability, and usability. Moreover, the COVID-19 pandemic has made online learning the only option due to its physical isolation requirements. However, monitoring of attendees and students… Read full abstract & cite →

Online learning online proctor student authen-tication face detection face recognition eye blinking detection object detection distance learning e-learning
95

Faculty e-Learning Adoption During the COVID-19 Pandemic: A Case Study of Shaqra University

Author 1: Asma Hassan Alshehri Author 2: Saad Ali Alahmari

e-Learning can generally be applied by employ-ing learning management system (LMS) platforms designed to support an instructor to develop, manage, and provide online courses to learners. During the COVID-19 pandemic, several LMS platforms were adopted in Saudi Arabian institutions, such as Moodle and Blackboard. However, in order to adopt e-learning… Read full abstract & cite →

e-Learning Learning Management System (LMS) distance learning LMS readiness training
96

Joint Deep Clustering: Classification and Review

Author 1: Arwa Alturki Author 2: Ouiem Bchir Author 3: Mohamed Maher Ben Ismail

Clustering is a fundamental problem in machine learning. To address this, a large number of algorithms have been developed. Some of these algorithms, such as K-means, handle the original data directly, while others, such as spectral clustering, apply linear transformation to the data. Still others, such as kernel-based algorithms, use… Read full abstract & cite →

Clustering deep learning deep neural network representation learning clustering loss reconstruction loss

Important Dates

Volume 17 No. 11, November 2026
Paper Submission Due October 25, 2026
Review Notification November 15, 2026
Publication Date November 30, 2026