IJACSA Vol. 14 Issue 5 (2023)

1

Spatio-Temporal Features based Human Action Recognition using Convolutional Long Short-Term Deep Neural Network

Author 1: A F M Saifuddin Saif Author 2: Ebisa D. Wollega Author 3: Sylvester A. Kalevela

Recognition of human intention is crucial and challenging due to subtle motion patterns of a series of action evolutions. Understanding of human actions is the foundation of many applications, i.e., human robot interaction, smart video monitoring and autonomous driving etc. Existing deep learning methods use either spatial or temporal features… Read full abstract & cite →

Convolutional neural network recurrent neural network long short-term memory human action recognition

Abstract doi.org/10.14569/IJACSA.2023.0140501 PDF

2

Usability and Security of Knowledge-based Authentication Systems: A State-of-the-Art Review

Author 1: Hassan Wasfi Author 2: Richard Stone

Knowledge-based passwords are still the most dominant authentication method for securing digital platforms and services, in spite of the emergence of alternative systems such as token-based and biometric systems. This method has remained the most popular one mostly because of its usability, compatibility, affordability of implementation, and user familiarity. However… Read full abstract & cite →

Knowledge-based authentication recognition re-call usability security memorability

Abstract doi.org/10.14569/IJACSA.2023.0140502 PDF

3

Super-Resolution of Brain MRI via U-Net Architecture

Author 1: Aryan Kalluvila

This paper proposes a U-Net-based deep learning architecture for the task of super-resolution of lower resolution brain magnetic resonance images (MRI). The proposed system, called MRI-Net, is designed to learn the mapping between low-resolution and high-resolution MRI images. The system is trained using 50-800 2D MRI scans, depending on the… Read full abstract & cite →

MRI U-Net Super-Resolution PyTorch SRCNN SR-GAN Deep Learning GPU

Abstract doi.org/10.14569/IJACSA.2023.0140503 PDF

4

Sentiment Analysis on COVID-19 Vaccine Tweets using Machine Learning and Deep Learning Algorithms

Author 1: Tarun Jain Author 2: Vivek Kumar Verma Author 3: Akhilesh Kumar Sharma Author 4: Bhavna Saini Author 5: Nishant Purohit Author 6: Bhavika Author 7: Hairulnizam Mahdin Author 8: Masitah Ahmad Author 9: Rozanawati Darman Author 10: Su-Cheng Haw Author 11: Shazlyn Milleana Shaharudin Author 12: Mohammad Syafwan Arshad

One of the main functions of NLP (Natural Language Processing) is to analyze a sentiment or opinion of the text considered. In this research the objective is to analyze the sentiment in the form of tweets towards the Covid-19 vaccination. In this study, the collected tweets are in the form… Read full abstract & cite →

Covid-19 vaccine sentiment analysis machine learning deep learning natural language processing

Abstract doi.org/10.14569/IJACSA.2023.0140504 PDF

5

An Enhanced SVM Model for Implicit Aspect Identification in Sentiment Analysis

Author 1: Halima Benarafa Author 2: Mohammed Benkhalifa Author 3: Moulay Akhloufi

Opinion Mining or Sentiment Analysis (SA) is a key component of E-commerce applications where a vast number of reviews are generated by customers. SA operates on aspect level where the views are expressed on a specific aspect of a product and have a big influence on the customers’ choices and… Read full abstract & cite →

Implicit aspect-based sentiment analysis machine learning supervised approaches support vector machines wordnet lesk algorithm

Abstract doi.org/10.14569/IJACSA.2023.0140505 PDF

6

Ethereum Cryptocurrency Entry Point and Trend Prediction using Bitcoin Correlation and Multiple Data Combination

Author 1: Abdellah EL ZAAR Author 2: Nabil BENAYA Author 3: Hicham EL MOUBTAHIJ Author 4: Toufik BAKIR Author 5: Amine MANSOURI Author 6: Abderrahim EL ALLATI

Deep learning methods have achieved significant success in various applications, including trend signal prediction in financial markets. However, most existing approaches only utilize price action data. In this paper, we propose a novel system that incorporates multiple data sources and market correlations to predict the trend signal of Ethereum cryptocurrency… Read full abstract & cite →

Deep learning cryptocurrency bitcoin trend prediction price action convolutional neural network transfer learning

Abstract doi.org/10.14569/IJACSA.2023.0140506 PDF

7

Security in the IoT: State-of-the-Art, Issues, Solutions, and Challenges

Author 1: Ahmed SRHIR Author 2: Tomader MAZRI Author 3: Mohammed BENBRAHIM

Now-a-days, the Internet of Things (IoT) has enormous potential and growth impact due to the technological revolution and the spread and appearance of events. It has received considerable attention from researchers and is considered the future of the Internet; however, according to Cisco Inc. reports, the IoT will be crucial… Read full abstract & cite →

Internet of things (IoT) IoT security IoT protocols security issues in IoT network security data security

Abstract doi.org/10.14569/IJACSA.2023.0140507 PDF

8

A Mobile App for the Identification of Flowers Using Deep Learning

Author 1: Gandhinee Rajkomar Author 2: Sameerchand Pudaruth

Flowers are admired and used by people all around the world for their fragrance, religious significance, and medicinal capabilities. The accurate taxonomy of these flower species is critical for biodiversity conservation and research. Non-experts typically need to spend a lot of time examining botanical guides in order to accurately identify… Read full abstract & cite →

Flowers deep learning mobile application Mauritius

Abstract doi.org/10.14569/IJACSA.2023.0140508 PDF

9

A Study of Prediction of Airline Stock Price through Oil Price with Long Short-Term Memory Model

Author 1: Jae Won Choi Author 2: Youngkeun Choi

This study aims to present a model that predicts the stock price of an airline by setting the economic and technical information of oil as features and taking advantage of the LSTM method. In this study, oil price data for about seven years from January 4, 2016, to April 14… Read full abstract & cite →

Stock price prediction airline oil long short-term memory

Abstract doi.org/10.14569/IJACSA.2023.0140509 PDF

10

Method for Ad-hoc Blockchain of Wireless Mesh Networking with Agent and Initiate Nodes

Author 1: Kohei Arai

Method for Ad-Hoc blockchain of wireless mesh networking with agent and initiate nodes is proposed. Minimizing the number of hops and maintaining connectivity of mobile terminals are concerns. Through simulation studies, it is found that increasing number of initiator nodes caused nodes to route a large number of messages. Thus… Read full abstract & cite →

Blockchain Ad-hoc network agent and initiate nodes the number of hops: connectivity routing protocol multi-hop routing packet forwarding

Abstract doi.org/10.14569/IJACSA.2023.0140510 PDF

11

Recommendation System on Travel Destination based on Geotagged Data

Author 1: Clarice Wong Sheau Harn Author 2: Mafas Raheem

Tourism research has benefitted from the worldwide spread and development of social networking services. People nowadays are more likely to rely on internet resources to plan their vacations. Thus, travel recommendation systems are designed to sift through the mammoth amount of data and identify the ideal travel destinations for the… Read full abstract & cite →

Geotagged data travel recommendation system travel recommender collaborative filtering matrix factorization

Abstract doi.org/10.14569/IJACSA.2023.0140511 PDF

12

Input Value Chain Affect Vietnamese Rice Yield: An Analytical Model Based on a Machine Learning Algorithm

Author 1: Thi Thanh Nga Nguyen Author 2: NianSong Tu Author 3: Thai Thuy Lam Ha

Input value chains greatly affect rice yield, however previous related studies were mainly based on empirical survey and simple statistics, which lacked generality and flexibility. The article presents a new method to predict the influence of input value chain on rice yield in Vietnam based on a machine learning algorithm… Read full abstract & cite →

Value chains Vietnamese rice machine learning neural network

Abstract doi.org/10.14569/IJACSA.2023.0140512 PDF

13

Cybersecurity in Healthcare: A Review of Recent Attacks and Mitigation Strategies

Author 1: Elham Abdullah Al-Qarni

Cyberattacks on several businesses, including those in the healthcare, finance, and industrial sectors, have significantly increased in recent years. Due to inadequate security measures, antiquated practices, and sensitive data, including usernames, passwords, and medical records, the healthcare sector has emerged as a top target for cybercriminals. Cybersecurity has not gotten… Read full abstract & cite →

Cybersecurity healthcare industry malware ransomware DoS DDoS

Abstract doi.org/10.14569/IJACSA.2023.0140513 PDF

14

Deep Feature Detection Approach for COVID-19 Classification based on X-ray Images

Author 1: Ayman Noor Author 2: Priyadarshini Pattanaik Author 3: Mohammed Zubair Khan Author 4: Waseem Alromema Author 5: Talal H. Noor

The novel human Corona disease (COVID-19) is a pulmonary sickness brought on by an extraordinarily outrageous respiratory condition crown 2. (SARS -CoV-2). Chest radiography imaging has a significant role in the screening, early diagnosis, and follow-up of the suspected individuals due to the effects of COVID-19 on pneumonic-sensitive tissue. It… Read full abstract & cite →

COVID-19 coronavirus deep learning classification chest X-ray images DenseNet-121 XG-Boost classifier EfficientNet-B0

Abstract doi.org/10.14569/IJACSA.2023.0140514 PDF

15

Data Sharing using PDPA-Compliant Blockchain Architecture in Malaysia

Author 1: Hasventhran Baskaran Author 2: Salman Yussof Author 3: Asmidar Abu Bakar Author 4: Fiza Abdul Rahim

Data privacy is undoubtedly the biggest concern for the modern society. Data privacy is also becoming a key policy in data protection regulations. Organizations assemble massive amount of personal data of the users for monetary and political purposes. These data can be sold for commercial purpose without the prior knowledge… Read full abstract & cite →

Blockchain smart contract legitimacy access protocol retention protocol data processor data subject data user blockchain regulations

Abstract doi.org/10.14569/IJACSA.2023.0140515 PDF

16

Assessing the Impact and Effectiveness of Cybersecurity Measures in e-Learning on Students and Educators: A Case Study

Author 1: Alaa Saeb Al-Sherideh Author 2: Khaled Maabreh Author 3: Majdi Maabreh Author 4: Mohammad Rasmi Al Mousa Author 5: Mahmoud Asassfeh

As e-learning has become increasingly prevalent, cyber security has become a major concern. e-Learning platforms collect and store large amounts of sensitive information, such as personal data and financial information, making them attractive targets for cybercriminals. To address these challenges and concerns, e-learning platforms must implement a comprehensive cyber security… Read full abstract & cite →

e-learning security cyber security privacy countermeasure Moodle education

Abstract doi.org/10.14569/IJACSA.2023.0140516 PDF

17

Things of Interest Recommendation with Multidimensional Context Embedding in the Internet of Things

Author 1: Shuhua Li Author 2: Jingmin An

The emerging Internet of Things (IoT) makes users and things closely related together, and the interactions between users and things generate massive context data, where the preference information in time, space, and textual content is embedded. Traditional recommendation methods (e.g., movie, music, and location recommendations) are based on static intrinsic… Read full abstract & cite →

Internet of things things of interest multidimensional context embedding intrinsic information instant information matrix factorization

Abstract doi.org/10.14569/IJACSA.2023.0140517 PDF

18

Reinforcement Learning-based Aspect Term Extraction using Dilated Convolutions and Differential Equation Initialization

Author 1: Yuyu Xiong Author 2: Mariani Md Nor Author 3: Ye Li Author 4: Hongxiang Guo Author 5: Li Dai

Aspect term extraction is a crucial subtask in aspect-based sentiment analysis that aims to discover the aspect terms presented in a text. In this paper, a method for ATE is proposed that employs dilated convolution layers to extract feature vectors in parallel, which are then concatenated for classification downstream. Reinforcement… Read full abstract & cite →

Aspect term extraction sentiment analysis differential evolution reinforcement learning BERT

Abstract doi.org/10.14569/IJACSA.2023.0140518 PDF

19

Research on Library Face Book Return Model Based on Hybrid PCA and Kernel Function

Author 1: Jianwen Shi

With the improvement in the quality of university education in China, the behavior of college students and school teachers to borrow and return books in the library is becoming more and more frequent. In peak periods of returning books, managers cannot even assist in returning books in time. Therefore, this… Read full abstract & cite →

Kernel function multidimensional principal component analysis face recognition intelligent book return

Abstract doi.org/10.14569/IJACSA.2023.0140519 PDF

20

A Height Accuracy Study Based on RTK and PPK Methods Outside the Standard Working Range

Author 1: Mohamed Jemai Author 2: Mohamed Anis Loghmari Author 3: Mohamed Saber Naceur

The aim of this paper is to study and analyze the Jack Up Vessel (JUV) foundation height accuracy, with the objective of the precise installation of an Offshore Wind Farm (OWF), based on Real Time Kinematic (RTK) and Post-Processing Kinematic (PPK) modes applied on short and long baselines length. The… Read full abstract & cite →

Real time kinematic post-processing kinematic high-precision positioning

Abstract doi.org/10.14569/IJACSA.2023.0140520 PDF

21

Analyze Transmission Data from a Multi-Node Patient's Respiratory FMCW Radar to the Internet of Things

Author 1: Rizky Rahmatullah Author 2: Puput Dani Prasetyo Adi Author 3: Suisbiyanto Prasetya Author 4: Arief Budi Santiko Author 5: Yuyu Wahyu Author 6: B.Berlian Surya Wicaksana Author 7: Stevry Yushady CH Bissa Author 8: Riyani Jana Yanti Author 9: Aloysius Adya Pramudita

This is the development of a system that has been made, FMCW radar for human or patient breathing which will then determine the type of disease or disorder in the patient just by looking at the type of breathing. This research uses data from FMCW Radar for human or patient… Read full abstract & cite →

FMCW Radar data realtime monitoring internet of things transmission data multi node

Abstract doi.org/10.14569/IJACSA.2023.0140521 PDF

22

Performance Analysis of Prophet Routing Protocol in Delay Tolerant Network by using Machine Learning Models

Author 1: Bonu Satish Kumar Author 2: Sailaja Vishnubhatla Author 3: Chevuru Madhu Babu Author 4: S. Pallam Shetty

Delay-Tolerant Networking (DTN) or Disruptive-Tolerant Networking comes under the category of networks that works without infrastructure wireless networks. DTN is one type of computer network that provides solutions for several applications. Delay tolerant network communications are networks that are accomplished by storing packets briefly in intermediate nodes till a certain… Read full abstract & cite →

DTN ONE Prophet CNN ANN

Abstract doi.org/10.14569/IJACSA.2023.0140522 PDF

23

DIP-CBML: A New Classification of Thai Dragon Fruit Species from Images

Author 1: Naruwan Yusamran Author 2: Nualsawat Hiransakolwong

The attractiveness of dragon fruit is that it has a strange exterior, beautiful colors, and high nutritional value. In Thailand, there is both import and export of dragon fruit. Each package for export must contain only one species of dragon fruit. From the survey, there are seven species of dragon… Read full abstract & cite →

Dragon fruit classification model outdoor dataset image pre-processing segmentation

Abstract doi.org/10.14569/IJACSA.2023.0140523 PDF

24

Math-VR: Mathematics Serious Game for Madrasah Students using Combination of Virtual Reality and Ambient Intelligence

Author 1: Hani Nurhayati Author 2: Yunifa Miftachul Arif

The challenge to increasing understanding of mathematics lessons for students in madrasah schools makes the learning process require the support of adaptive alternative learning media. In this study, we propose a serious game-based learning media supported by virtual reality and ambient intelligence technology to equip students with adaptive responses to… Read full abstract & cite →

Mathematics serious game virtual reality ambient intelligence MCRS

Abstract doi.org/10.14569/IJACSA.2023.0140524 PDF

25

An Adaptive Channel Selection and Graph ResNet Based Algorithm for Motor Imagery Classification

Author 1: Yongquan Xia Author 2: Jianhua Dong Author 3: Duan Li Author 4: Keyun Li Author 5: Jiaofen Nan Author 6: Ruyun Xu

In Brain-Computer interface (BCI) applications, achieving accurate control relies heavily on the classification accuracy and efficiency of motor imagery electroencephalogram (EEG) signals. However, factors such as mutual interference between multi-channel signals, inter-individual variability, and noise interference in the channels pose challenges to motor imagery EEG signal classification. To address these… Read full abstract & cite →

Brain-Computer Interface motor imagery channel selection deep learning graph convolutional neural network

Abstract doi.org/10.14569/IJACSA.2023.0140525 PDF

26

Security Challenges Facing Blockchain Based-IoV Network: A Systematic Review

Author 1: Hamza El Mazouzi Author 2: Anass Khannous Author 3: Khalid Amechnoue Author 4: Anass Rghioui

The Internet of Vehicles (IoV) is an innovative concept aimed at addressing the critical problem of traffic congestion. IoV applications are part of a connected network that collects relevant data from various smart sensors installed in connected vehicles. This information is freely and easily exchanged between vehicles, which leads to… Read full abstract & cite →

Internet of vehicles (IoV) traffic congestion smart sensors connected vehicles data privacy data security blockchain technology

Abstract doi.org/10.14569/IJACSA.2023.0140526 PDF

27

Using Descriptive Analysis to Find Patterns and Trends: A Case of Car Accidents in Washington D.C.

Author 1: Zaid M. Altukhi Author 2: Nasser F. Aljohani

The descriptive analysis could be used to find the trends and patterns in historical data. In this article, descriptive analysis has been used to describe the car accidents in Washington, D.C., between 2009 and 2020. The dataset was downloaded from the District Department of Transportation (DDOT), the department responsible for… Read full abstract & cite →

Descriptive analysis trends patterns analytics statistics car accidents

Abstract doi.org/10.14569/IJACSA.2023.0140527 PDF

28

Towards an Adaptive e-Learning System Based on Deep Learner Profile, Machine Learning Approach, and Reinforcement Learning

Author 1: Riad Mustapha Author 2: Gouraguine Soukaina Author 3: Qbadou Mohammed Author 4: Aoula Es-Sâadia

Now-a-days, the great challenge of adaptive e-learning systems is to recommend an individualized learning scenario according to the specific needs of learners. Therefore, the perfect adaptive e-learning system is the one that is based on a deep learner profile to recommend the most appropriate learning objects for that learner. Yet… Read full abstract & cite →

Adaptive e-learning system deep learner profile reinforcement learning Q-learning k-means linear regression learning path recommendation learning object

Abstract doi.org/10.14569/IJACSA.2023.0140528 PDF

29

Industrial Practitioner Perspective of Mobile Applications Programming Languages and Systems

Author 1: Amira T. Mahmoud Author 2: Ahmad A. Muhammad Author 3: Ahmed H. Yousef Author 4: Hala H.Zayed Author 5: Walaa Medhat Author 6: Sahar Selim

The growth of mobile application development industry made it crucial for researchers to study the industry practices of choosing mobile applications programming languages, systems, and tools. With the increased attention of cross-platform mobile applications development from both researchers and industry, this paper aims at answering the question of whether most… Read full abstract & cite →

Android cross-platform development iOS mobile applications questionnaire

Abstract doi.org/10.14569/IJACSA.2023.0140529 PDF

30

Feature Selection using Particle Swarm Optimization for Sentiment Analysis of Drug Reviews

Author 1: Afifah Mohd Asri Author 2: Siti Rohaidah Ahmad Author 3: Nurhafizah Moziyana Mohd Yusop

Feature selection (FS) is an essential classification pre-processing task that eliminates irrelevant, redundant, and noisy features. The primary benefits of performing this task include enhanced model performance, reduced computational expense, and modified “curse of dimensionality”. The goal of performing FS is to find the best feature group that can be… Read full abstract & cite →

Sentiment analysis feature selection particle swarm optimization drug reviews

Abstract doi.org/10.14569/IJACSA.2023.0140530 PDF

31

A Comparative Study of Machine Learning Techniques to Predict Types of Breast Cancer Recurrence

Author 1: Meryem Chakkouch Author 2: Merouane Ertel Author 3: Aziz Mengad Author 4: Said Amali

The prediction of breast cancer recurrence is a crucial problem in cancer research that requires accurate and efficient prediction models. This study aims to compare the performance of different machine learning techniques in predicting types of breast cancer recurrence. In this study, the performance of logistic regression, decision tree, K-Nearest… Read full abstract & cite →

Breast cancer machine learning recurrence prediction classification multi-classes logistic regression decision tree K-Nearest Neighbors artificial neural network

Abstract doi.org/10.14569/IJACSA.2023.0140531 PDF

32

Automated Decision Making ResNet Feed-Forward Neural Network based Methodology for Diabetic Retinopathy Detection

Author 1: A. Aruna Kumari Author 2: Avinash Bhagat Author 3: Santosh Kumar Henge Author 4: Sanjeev Kumar Mandal

The detection of diabetic retinopathy eye disease is a time-consuming and labor-intensive process, that necessitates an ophthalmologist to investigate, assess digital color fundus photographic images of the retina, and discover DR by the existence of lesions linked with the vascular anomalies triggered by the disease. The integration of a single… Read full abstract & cite →

Retinal lesion (RL) Fundus Images (FunImg) Microaneurysms (MAs) Principal Component Analysis (PCA) Standard Scaler (StdSca) Feed-Forward Neural Network (FFNN) cross pooling (CxPool)

Abstract doi.org/10.14569/IJACSA.2023.0140532 PDF

33

Proactive Acquisition using Bot on Discord

Author 1: Niken Dwi Wahyu Cahyani Author 2: Daffa Syifa Pratama Author 3: Nurul Hidayah Ab Rahman

Data deletion increases challenges in cybercrime investigation. To address the problem, proactive forensics for evidentiary collection is acknowledged to help investigators to acquire the potentially needed digital evidence. This study proposes a bot machine to record data from the Discord server in advance, hashing and saving it in proper storage… Read full abstract & cite →

Discord bot cybercrime social networks API digital evidence

Abstract doi.org/10.14569/IJACSA.2023.0140533 PDF

34

The Contribution of Numerical EEG Analysis for the Study and Understanding of Addictions with Substances

Author 1: Aziz Mengad Author 2: Jamal Dirkaoui Author 3: Merouane Ertel Author 4: Meryem Chakkouch Author 5: Fatima Elomari

Computerised electroencephalography (EEG) is one of a wide variety of brain imaging techniques used in addiction medicine. It is a sensitive measure of the effects of addiction on the brain and has been shown to show changes in brain electrical activity during addiction. But, the clinical value of computerised EEG… Read full abstract & cite →

Electroencephalography (EEG) quantitative electroencephalography drug addiction spectral analysis coherence analysis

Abstract doi.org/10.14569/IJACSA.2023.0140534 PDF

35

The Usability of Digital Game-based Learning for Low Carbon Awareness: Heuristic Evaluation

Author 1: Nur Fadhilah Abdul Jalil Author 2: Umi Azmah Hasran Author 3: Siti Fadzilah Mat Noor Author 4: Muhammad Helmi Norman

Digital Game-based Learning (DGBL) that attracts many practitioners to engage students in promoting low carbon awareness has been understudied. The evaluation phase plays a crucial part in determining the usability of the learning material. This study aims to identify the usability of DGBL which consists of four components: game usability… Read full abstract & cite →

Heuristic evaluation digital game-based learning usability low carbon awareness

Abstract doi.org/10.14569/IJACSA.2023.0140535 PDF

36

Optimization Design of Bridge Inspection Vehicle Boom Structure Based on Improved Genetic Algorithm

Author 1: Ruihua Xue Author 2: Shuo Lv Author 3: Tingqi Qiu

Excessive self-weight of bridge inspection vehicles increases the safety risk of the inspected bridge structures. In this study, a bridge inspection vehicle arm structure self-weight optimization design model is proposed to improve the efficiency and safety of bridge structure inspection. The model uses a finite element model of the arm… Read full abstract & cite →

Genetic algorithm Bridge inspection Structural optimization Finite element model BP neural network

Abstract doi.org/10.14569/IJACSA.2023.0140536 PDF

37

A Real-Time Automated Visual Inspection System for Printed Circuit Boards Missing Footprints Detection

Author 1: Xiaoda Cao

Visual inspection systems (VIS) are vital for recognizing and assessing parts in mass-produced products at the fabricating lines. In the past, item review was carried out physically, which made finding imperfections repetitive, moderate, and prone to error. VIS may be a strategy to abbreviate preparing times, boost item quality, and… Read full abstract & cite →

Automated visual inspection Printed Circuit Boards (PCB) quality control image processing

Abstract doi.org/10.14569/IJACSA.2023.0140537 PDF

38

PM2.5 Estimation using Machine Learning Models and Satellite Data: A Literature Review

Author 1: Mitra Unik Author 2: Imas Sukaesih Sitanggang Author 3: Lailan Syaufina Author 4: I Nengah Surati Jaya

Most researchers are beginning to appreciate the use of remote sensing satellites to assess PM2.5 levels and use machine learning algorithms to automate the collection, make sense of remote sensing data, and extract previously unseen data patterns. This study reviews delicate particulate matter (PM2.5) predictions from satellite aerosol optical depth… Read full abstract & cite →

AOD machine learning PM2.5 remote sensing pollutant

Abstract doi.org/10.14569/IJACSA.2023.0140538 PDF

39

Developing A Predictive Model for Selecting Academic Track Via GPA by using Classification Algorithms: Saudi Universities as Case Study

Author 1: Thamer Althubiti Author 2: Tarig M. Ahmed Author 3: Madini O. Alassafi

The main motivation of any educational institution is to provide quality education. Therefore, choosing an academic track can be clearly seen as an obstacle, for students and universities, which in turn led to imposing a mandatory preparatory year program in Saudi Arabia. One of the main objectives of the preparatory… Read full abstract & cite →

Data mining educational data mining classification algorithms logistic regression neural networks gradient boosting k-nearest neighbors predicting students’ performance

Abstract doi.org/10.14569/IJACSA.2023.0140539 PDF

40

Combining GAN and LSTM Models for 3D Reconstruction of Lung Tumors from CT Scans

Author 1: Cong Gu Author 2: Hongling Gao

Generating a three-dimensional (3D) reconstruction of tumors is an efficient technique for obtaining accurate and highly detailed visualization of the structures of tumors. To create a 3D tumor model, a collection of 2D imaging data is required, including images from CT imaging. Generative adversarial networks (GANs) offer a method to… Read full abstract & cite →

3D tumor reconstruction lung cancer LSTM Generative adversarial network ResNet

Abstract doi.org/10.14569/IJACSA.2023.0140540 PDF

41

Optimized Secure Federated Learning for Event Detection in Big Data using Blockchain Mechanism

Author 1: K. Prasanna Lakshmi Author 2: K. Swapnika

Currently, cloud storage in blockchain and federated learning technology provides better security among data transmission and file access. But, in some of the cases, security issues arose. So, to avoid security problems and offer better protection in a cloud environment, a novel optimized buffalo-based Homomorphic SHA blockchain (OBHSB). In this… Read full abstract & cite →

Blockchain cloud storage decryption encryption federated learning hashing homomorphism

Abstract doi.org/10.14569/IJACSA.2023.0140541 PDF

42

Hate Speech Detection in Social Networks using Machine Learning and Deep Learning Methods

Author 1: Aigerim Toktarova Author 2: Dariga Syrlybay Author 3: Bayan Myrzakhmetova Author 4: Gulzat Anuarbekova Author 5: Gulbarshin Rakhimbayeva Author 6: Balkiya Zhylanbaeva Author 7: Nabat Suieuova Author 8: Mukhtar Kerimbekov

Hate speech on social media platforms like Twitter is a growing concern that poses challenges to maintaining a healthy online environment and fostering constructive communication. Effective detection and monitoring of hate speech are crucial for mitigating its adverse impact on individuals and communities. In this paper, we propose a comprehensive… Read full abstract & cite →

Machine learning deep learning hate speech social network classification

Abstract doi.org/10.14569/IJACSA.2023.0140542 PDF

43

New Arabic Root Extraction Algorithm

Author 1: Nisrean Jaber Thalji Author 2: Emran Aljarrah Author 3: Roqia Rateb Author 4: Amaal Rateb Mohammad Al-Shorman

This research presents a new algorithm for Arabic root extraction, which aims to improve the accuracy of Arabic Natural Language Processing Algorithms by addressing the weaknesses and errors of existing algorithms. The proposed algorithm utilizes a database, that includes a collection of roots, patterns, and affixes, to generate potential derivation… Read full abstract & cite →

Natural language processing Arabic root extraction algorithm Arabic applications Arabic morphology Text mining

Abstract doi.org/10.14569/IJACSA.2023.0140543 PDF

44

An Evolutive Knowledge Base for “AskBot” Toward Inclusive and Smart Learning-based NLP Techniques

Author 1: Khadija El Azhari Author 2: Imane Hilal Author 3: Najima Daoudi Author 4: Rachida Ajhoun Author 5: Ikram Belgas

Artificial Intelligence chatbots have shown a growing interest in different domains including e-learning. They support learners by answering their repetitive and massive questions. In this paper, we develop a smart learning architecture for an inclusive chatbot handling both text and voice messages. Thus, disabled learners can easily use it. We… Read full abstract & cite →

Knowledge base KB artificial intelligence AI chatbot e-learning cosine similarity soft cosine similarity TF-IDF FastText neural network

Abstract doi.org/10.14569/IJACSA.2023.0140544 PDF

45

Knowledge Management Model for the Generation of Innovative Capacities in Organizations that Provide Services

Author 1: Cristhian Ronceros Author 2: José Medina Author 3: Pedro León Author 4: Alfredo Mendieta Author 5: José Fernández Author 6: Yuselys Martinez

The research was oriented to the development of a knowledge management model for the generation of innovative capacities in the organizations that provide services. A systematic review of articles published in the Scopus, IEEE Explore and Google Scholar databases was carried out, where 67 articles and 24 models were selected… Read full abstract & cite →

Component model knowledge management intellectual capital information and communication technologies

Abstract doi.org/10.14569/IJACSA.2023.0140545 PDF

46

Recognition of Lung Nodules in Computerized Tomography Lung Images using a Hybrid Method with Class Imbalance Reduction

Author 1: Yingqiang Wang Author 2: Honggang Wang Author 3: Erqiang Dong

Lung cancer is among the deadly diseases affecting millions globally every year. Physicians' and radiologists' manual detection of lung nodules has low efficiency due to the variety of shapes and nodule locations. The paper aims to recognize the lung nodules in computerized tomography (CT) lung images utilizing a hybrid method… Read full abstract & cite →

Lung cancer artificial neural network fuzzy c-means clustering method reinforcement learning restricted boltzmann machine

Abstract doi.org/10.14569/IJACSA.2023.0140546 PDF

47

A Theoretical Framework for Creating Folk Dance Motion Templates using Motion Capture

Author 1: Amir Irfan Mazian Author 2: Wan Rizhan Author 3: Normala Rahim Author 4: Azrul Amri Jamal Author 5: Ismahafezi Ismail Author 6: Syed Abdullah Fadzli

Folk dance (FD) is a type of traditional dance that has been handed down through a culture or group from generation to generation. It is crucial to preserve and safeguard this type of cultural legacy since it can reflect the history and identity of particular nations. However, due to ineffective… Read full abstract & cite →

Motion capture folk dance motion template

Abstract doi.org/10.14569/IJACSA.2023.0140547 PDF

48

Development of a New Lightweight Encryption Algorithm

Author 1: Ardabek Khompysh Author 2: Nursulu Kapalova Author 3: Oleg Lizunov Author 4: Dilmukhanbet Dyusenbayev Author 5: Kairat Sakan

Due to the growing need to use devices with low hardware resources in everyday life, the likelihood of their susceptibility to various cyber-attacks increases. In this regard, one of the methods to ensure the security of information circulating in these devices is encryption. For devices with small hardware resources, the… Read full abstract & cite →

Lightweight block cipher S-box linear transformation avalanche effect IoT devices RFID tags null hypothesis NIST tests D. knuth tests

Abstract doi.org/10.14569/IJACSA.2023.0140548 PDF

49

An Investigation of Asthma Experiences in Arabic Communities Through Twitter Discourse

Author 1: Mohammed Alotaibi Author 2: Ahmed Omar

Artificial intelligence technologies can effectively analyze the public opinions from social-media platforms like twitter. This study aims to employ the AI technology and big data to explore and discuss the common issues of asthma that patients share on Twitter platform in Arabic communities. The data was acquired using the Twitter… Read full abstract & cite →

Asthma twitter semantic analysis LDA Arab communities

Abstract doi.org/10.14569/IJACSA.2023.0140549 PDF

50

Predicting Drug Response on Multi-Omics Data Using a Hybrid of Bayesian Ridge Regression with Deep Forest

Author 1: Talal Almutiri Author 2: Khalid Alomar Author 3: Nofe Alganmi

An accurate drug response prediction for each patient is critical in personalized medicine. However, numerous studies that relied on single-omics datasets continue to have limitations. In addition, the curse of dimensionality considers a challenge to drug response prediction. Deep learning has remarkable prediction effectiveness compared to traditional machine learning, but… Read full abstract & cite →

Bayesian ridge regression deep forest deep learning drug response prediction machine learning multi-omics data

Abstract doi.org/10.14569/IJACSA.2023.0140550 PDF

51

Systematic Analysis on the Effectiveness of Covert Channel Data Transmission

Author 1: Abdulrahman Alhelal Author 2: Mohammed Al-Khatib

A covert channel is a communication channel that allows parties to communicate and transfer data indirectly. Covert channel types are storage, timing, and behavior channels. Covert channels can be used for malicious and benign applications. A covert channel is a mechanism for violating the communication security policy that was not… Read full abstract & cite →

Covert channel transmission limitations file encoding throughput performance time audio video text

Abstract doi.org/10.14569/IJACSA.2023.0140551 PDF

52

Towards Analysis of Biblical Entities and Names using Deep Learning

Author 1: Mikolaj Martinjak Author 2: Davor Lauc Author 3: Ines Skelac

Scholars from various fields have studied the translations of the Bible in different languages to understand the changes that have occurred over time. Taking into account recent advances in deep learning, there is an opportunity to improve the understanding of these texts and conduct analyses that were previously unattainable. This… Read full abstract & cite →

Bible deep learning gospel of mark natural language processing social network analysis

Abstract doi.org/10.14569/IJACSA.2023.0140552 PDF

53

Deadline-aware Task Scheduling for Cloud Computing using Firefly Optimization Algorithm

Author 1: BAI Ya-meng Author 2: WANG Yang Author 3: WU Shen-shen

Task scheduling poses a major challenge for cloud computing environments. Task scheduling ensures cost-effective task execution and improved resource utilization. It is classified as a NP-hard problem due to its nondeterministic polynomial time nature. This characteristic motivates researchers to employ meta-heuristic algorithms. The number of cloud users and computing capabilities… Read full abstract & cite →

Cloud computing energy efficiency task scheduling firefly algorithm

Abstract doi.org/10.14569/IJACSA.2023.0140553 PDF

54

A Method for Network Intrusion Detection Based on GAN-CNN-BiLSTM

Author 1: Shuangyuan Li Author 2: Qichang Li Author 3: Mengfan Li

As network attacks are more and more frequent and network security is more and more serious, it is important to detect network intrusion accurately and efficiently. With the continuous development of deep learning, a lot of research achievements are applied to intrusion detection. Deep learning is more accurate than machine… Read full abstract & cite →

Intrusion detection GAN CNN BiLSTM

Abstract doi.org/10.14569/IJACSA.2023.0140554 PDF

55

A Consumer Product of Wi-Fi Tracker System using RSSI-based Distance for Indoor Crowd Monitoring

Author 1: Syifaul Fuada Author 2: Trio Adiono Author 3: Prasetiyo Author 4: Harthian Widhanto Author 5: Shorful Islam Author 6: Tri Chandra Pamungkas

This study aims to design and develop Wi-Fi tracker system that utilizes RSSI-based distance parameters for crowd-monitoring applications in indoor settings. The system consists of three main components, namely 1) an embedded node that runs on Raspberry-pi Zero W, 2) a real-time localization algorithm, and 3) a server system with… Read full abstract & cite →

Wi-Fi tracker system RSSI-based distance crowd monitoring Unscented Kalman Filter indoor

Abstract doi.org/10.14569/IJACSA.2023.0140555 PDF

56

A Knowledge Based Framework for Cardiovascular Disease Prediction

Author 1: Abha Marathe Author 2: Virendra Shete Author 3: Dhananjay Upasani

Cardiovascular disease has become more concern in the hectic and stressful life of modern era. Machine learning techniques are becoming reliable in medical treatment to help the doctors. But the ML algorithms are sensitive to data sets. Hence a Smart Robust Predictive System is almost essential which can work efficiently… Read full abstract & cite →

Machine learning ensemble classifier cardiovascular disease performance metrics classifier techniques

Abstract doi.org/10.14569/IJACSA.2023.0140556 PDF

57

Unsupervised Bearing Fault Diagnosis via a Multi-Layer Subdomain Adaptation Network

Author 1: Nguyen Duc Thuan Author 2: Nguyen Thi Hue Author 3: Hoang Si Hong

Bearings play a crucial role in the functioning of rotating machinery, making it essential to monitor their condition for maintaining system stability and dependability. In recent years, intelligent diagnostic techniques for bearing issues have made significant progress due to advancements in artificial intelligence. These methods rely heavily on data, requiring… Read full abstract & cite →

Bearing fault fault diagnosis domain adaptation transfer learning

Abstract doi.org/10.14569/IJACSA.2023.0140557 PDF

58

Mask R-CNN Approach to Real-Time Lane Detection for Autonomous Vehicles

Author 1: Rustam Abdrakhmanov Author 2: Madina Elemesova Author 3: Botagoz Zhussipbek Author 4: Indira Bainazarova Author 5: Tursinbay Turymbetov Author 6: Zhalgas Mendibayev

The accurate and real-time detection of road lanes is crucial for the safe navigation of autonomous vehicles (AVs). This paper presents a novel approach to lane detection by leveraging the capabilities of the Mask Region-based Convolutional Neural Network (Mask R-CNN) model. Our method adapts Mask R-CNN to specifically address the… Read full abstract & cite →

Road lane Mask R-CNN detection deep learning autonomous vehicle

Abstract doi.org/10.14569/IJACSA.2023.0140558 PDF

59

Game Theory Approach for Open Innovation Systems Analysis in Duopolistic Market

Author 1: Aziz Elmire Author 2: Aziz Ait Bassou Author 3: Mustapha Hlyal Author 4: Jamila El Alami

The approach used in this study involves applying the Cournot model, which is initially based on the analysis of product quantities in the market. Building upon the obtained equilibrium, a second analysis is conducted to examine the impact of the open innovation integration rate, utilizing a dynamic model. The obtained… Read full abstract & cite →

Duopoly open innovation closed innovation Cournot model

Abstract doi.org/10.14569/IJACSA.2023.0140559 PDF

60

Decentralised Access Control Framework using Blockchain: Smart Farming Case

Author 1: Normaizeerah Mohd Noor Author 2: Noor Afiza Mat Razali Author 3: Sharifah Nabila S Azli Sham Author 4: Khairul Khalil Ishak Author 5: Muslihah Wook Author 6: Nor Asiakin Hasbullah

The convergence of farming with cutting-edge technologies, like the Internet of Things (IoT), has led to the emergence of a smart farming revolution. IoT facilitates the interconnection of numerous devices across different agricultural ecosystems, enabling automation and ultimately enhancing the efficiency and quality of production. However, the implementation of IoT… Read full abstract & cite →

Access control role-based access control attribute-based access control blockchain technology internet of things smart contract smart farming

Abstract doi.org/10.14569/IJACSA.2023.0140560 PDF

61

Artificial Intelligence System for Detecting the Use of Personal Protective Equipment

Author 1: Josue Airton Lopez Cabrejos Author 2: Avid Roman-Gonzalez

In recent years, occupational accidents have been increasing, and it has been suggested that this increase is related to poor or no supervision of personal protective equipment (PPE) use. This study proposes developing a system capable of identifying the use of PPEs using artificial intelligence through a neural network called… Read full abstract & cite →

Personal protective equipment (PPE) artificial intelligence (AI) YOLO (You Only Look Once) object detection neural network custom PPE dataset

Abstract doi.org/10.14569/IJACSA.2023.0140561 PDF

62

The Use of Fuzzy Linear Regression Modeling to Predict High-risk Symptoms of Lung Cancer in Malaysia

Author 1: Aliya Syaffa Zakaria Author 2: Muhammad Ammar Shafi Author 3: Mohd Arif Mohd Zim Author 4: Siti Noor Asyikin Mohd Razali

Lung cancer is the most prevalent cancer in the world, accounting for 12.2% of all newly diagnosed cases in 2020 and has the highest mortality rate due to its late diagnosis and poor symptom detection. Currently, there are 4,319 lung cancer deaths in Malaysia, representing 2.57 percent of all mortality… Read full abstract & cite →

Lung cancer high-risk symptom fuzzy linear regression H-value mean square error

Abstract doi.org/10.14569/IJACSA.2023.0140562 PDF

63

Two Phase Detection Process to Mitigate LRDDoS Attack in Cloud Computing Environment

Author 1: Amrutha Muralidharan Nair Author 2: R Santhosh

Distributed Denial of Service (DDoS) is a major attack carried out by attackers leveraging critical cloud computing technologies. DDoS attacks are carried out by flooding the victim servers with a massive volume of malicious traffic over a short period, Because of the enormous amount of malicious traffic, such assaults are… Read full abstract & cite →

LRDDoS attack distance deviation covariance vector threshold

Abstract doi.org/10.14569/IJACSA.2023.0140563 PDF

64

Pig Health Abnormality Detection Based on Behavior Patterns in Activity Periods using Deep Learning

Author 1: Duc Duong Tran Author 2: Nam Duong Thanh

Abnormal detection of pig behaviors in pig farms is important for monitoring pig health and welfare. Pigs with health problems often have behavioral abnormalities. Observing pig behaviors can help detect pig health problems and take early treatment to prevent disease from spreading. This paper proposes a method using deep learning… Read full abstract & cite →

Deep learning pig tracking behavior patterns pig health monitoring

Abstract doi.org/10.14569/IJACSA.2023.0140564 PDF

65

Forecasting Model of Corn Commodity Productivity in Indonesia: Production and Operations Management, Quantitative Method (POM-QM) Software

Author 1: Asriani Author 2: Usman Rianse Author 3: Surni Author 4: Yani Taufik Author 5: Dhian Herdhiansyah

Food is an essential ingredient needed by humans. In addition to being consumed, it can also be a valuable commodity for economic purposes through productivity of food crops. Therefore, this study aims to model the forecasting of maize productivity in Indonesia using Production and Operations Management-Quantitative Method (POM-QM) software. The… Read full abstract & cite →

Forecasting model productivity corn commodity POM-QM

Abstract doi.org/10.14569/IJACSA.2023.0140565 PDF

66

Recommendation System Based on Double Ensemble Models using KNN-MF

Author 1: Krishan Kant Yadav Author 2: Hemant Kumar Soni Author 3: Nikhlesh Pathik

In today's digital environment, recommendation systems are essential as they provide personalised content to users, increasing user engagement and enhancing user satisfaction. This paper proposes a double ensemble recommendation model that combines two collaborative filtering algorithms, K Nearest Neighbour (KNN) and Matrix Factorization (MF). KNN is a neighbourhood-based algorithm that… Read full abstract & cite →

Recommendation system k nearest neighbour matrix factorization predictions using stacking ensemble model

Abstract doi.org/10.14569/IJACSA.2023.0140566 PDF

67

Integrating Regression Models and Climatological Data for Improved Precipitation Forecast in Southern India

Author 1: J. Subha Author 2: S. Saudia

Modern technologies like Artificial Intelligence (AI) and Machine Learning (ML) replicate intelligent human behavior and offer solutions in all domains, especially for human protection and disaster management. Nowadays, in both rural and urban areas, flood control is a serious issue to overcome the vast disaster to life and property. The… Read full abstract & cite →

Ensemble models machine learning models rainfall precipitation forecast R-squared value

Abstract doi.org/10.14569/IJACSA.2023.0140567 PDF

68

Recurrent Ascendancy Feature Subset Training Model using Deep CNN Model for ECG based Arrhythmia Classification

Author 1: Shaik Janbhasha Author 2: S Nagakishore Bhavanam

The World Health Organization (WHO) has released a report warning of the worldwide epidemic of heart disease, which is reaching worrisome proportions among adults aged 40 and high. Heart problems can be detected and diagnosed by a variety of methods and procedures. Scientists are striving to find multiple approaches that… Read full abstract & cite →

Feature selection arrhythmia classification convolution neural network deep learning electrocardiograms

Abstract doi.org/10.14569/IJACSA.2023.0140568 PDF

69

Machine Learning Techniques in Keratoconus Classification: A Systematic Review

Author 1: AATILA Mustapha Author 2: LACHGAR Mohamed Author 3: HRIMECH Hamid Author 4: KARTIT Ali

Machine learning (ML) algorithms are being integrated into several disciplines. Ophthalmology is one field of health sector that has benefited from the advantages and capacities of ML in processing of different types of data. In a large number of studies, the detection and classification of various diseases, such as keratoconus… Read full abstract & cite →

Ophthalmology corneal disease keratoconus classification machine learning

Abstract doi.org/10.14569/IJACSA.2023.0140569 PDF

70

Impact and Analysis of Disease Spread in Paddy Crops using Environmental Factors with the Support of X-Step Algorithm

Author 1: P. Veera Prakash Author 2: Muktevi Srivenkatesh

India is an agriculture-based country, with paddy being the main crop cultivated on nearly half of its agricultural lands. Paddy cultivation faces numerous challenges, particularly diseases that affect crop growth and yield. Adult paddy crops are especially vulnerable to diseases caused by various factors, such as the green rice leafhopper… Read full abstract & cite →

Paddy crops cash crop disease green rice leafhopper rice leaf folder brown plant leafhopper x-step algorithm

Abstract doi.org/10.14569/IJACSA.2023.0140570 PDF

71

Study of Student Personality Trait on Spear-Phishing Susceptibility Behavior

Author 1: Mohamad Alhaddad Author 2: Masnizah Mohd Author 3: Faizan Qamar Author 4: Mohsin Imam

Spear-phishing emails are an effective cyber-attack method due to the fact that the emails sent are highly personalized to look like a regular legitimate email. Recently, it was discovered that personality traits of the victim have an impact on a person's susceptibility to spear-phishing. This study aims to identify which… Read full abstract & cite →

Spear-phishing cyber-attack personality trait embedded training message framing

Abstract doi.org/10.14569/IJACSA.2023.0140571 PDF

72

Investigating Internet of Things Impact on e-Learning System: An Overview

Author 1: Duha Awad H. Elneel Author 2: Hasan Kahtan Author 3: Abdul Sahli Fakharudin Author 4: Mansoor Abdulhak Author 5: Ahmad Salah Al-Ahmad Author 6: Yehia Ibrahim Alzoubi

e-Learning systems have reached their peak with the revolution of smart technologies. In the past few years, the Internet of Things (IoT) has become one of the most advanced and popular technologies, affecting many different areas. Using IoT in an e-learning system is a fantastic technology that improves the e-learning… Read full abstract & cite →

e-Learning system Internet of Things (IoT) software system education learning process

Abstract doi.org/10.14569/IJACSA.2023.0140572 PDF

73

Automatic Classification of Scanned Electronic University Documents using Deep Neural Networks with Conv2D Layers

Author 1: Aigerim Baimakhanova Author 2: Ainur Zhumadillayeva Author 3: Sailaugul Avdarsol Author 4: Yermakhan Zhabayev Author 5: Makhabbat Revshenova Author 6: Zhenis Aimeshov Author 7: Yerkebulan Uxikbayev

This paper proposes a novel approach for scanned document categorization using a deep neural network architecture. The proposed approach leverages the strengths of both convolutional neural networks (CNNs) and recurrent neural networks (RNNs) to extract features from the scanned documents and model the dependencies between words in the documents. The… Read full abstract & cite →

Deep learning CNN RNN classification image analysis

Abstract doi.org/10.14569/IJACSA.2023.0140573 PDF

74

Combinatorial Optimization Design of Search Tree Model Based on Hash Storage

Author 1: Yun Liu Author 2: Jiajun Li Author 3: Jingjing Chen

The game search tree model usually does not consider the state information of similar nodes, which results in searching a huge state space, and there are problems such as the size of the game tree and the long solution time. In view of this, the article proposes a scheme using… Read full abstract & cite →

Combination optimization game search algorithm state space transposition table

Abstract doi.org/10.14569/IJACSA.2023.0140574 PDF

75

Skin Cancer Image Detection and Classification by CNN based Ensemble Learning

Author 1: Sarah Ali Alshawi Author 2: Ghazwan Fouad Kadhim AI Musawi

Melanoma is accounted as a rare skin cancer responsible for a huge mortality rate. However, various imaging tests can be used to detect the metastatic spread of disease with a primary diagnosis or on clinical suspicion. Focus on melanoma detection, irrespective of its unusual occurrence, is that it is often… Read full abstract & cite →

Medical images skin cancer machine learning deep learning ensemble learning accuracy

Abstract doi.org/10.14569/IJACSA.2023.0140575 PDF

76

Krill Herd Algorithm for Live Virtual Machines Migration in Cloud Environments

Author 1: Hui Cao Author 2: Zhuo Hou

Green cloud computing is a modern approach that provides pay-per-use information and communication technologies with a minimal carbon footprint. Cloud computing enables users to access computing resources without the need for local servers or personal devices to operate applications. It allows businesses and developers to access infrastructure and hardware resources… Read full abstract & cite →

Cloud computing migration virtualization energy consumption

Abstract doi.org/10.14569/IJACSA.2023.0140576 PDF

77

Using the Term Frequency-Inverse Document Frequency for the Problem of Identifying Shrimp Diseases with State Description Text

Author 1: Luyl-Da Quach Author 2: Anh Nguyen Quynh Author 3: Khang Nguyen Quoc Author 4: An Nguyen Thi Thu

With the increasing demand for research on shrimp disease recognition to assist far-off farmers who need the proper assistance for their shrimp farming, shrimp disease prediction research is still in the initial stage. Most current methods utilize vision-based models, which mainly face challenges: symptom detection and image quality. Meanwhile, there… Read full abstract & cite →

TF-IDF machine learning deep learning CNN shrimp disease classification

Abstract doi.org/10.14569/IJACSA.2023.0140577 PDF

78

MoveNET Enabled Neural Network for Fast Detection of Physical Bullying in Educational Institutions

Author 1: Zhadra Kozhamkulova Author 2: Bibinur Kirgizbayeva Author 3: Gulbakyt Sembina Author 4: Ulmeken Smailova Author 5: Madina Suleimenova Author 6: Arailym Keneskanova Author 7: Zhumakul Baizakova

In this article, we provide a MoveNET-based technique that we think may be used to detect violent actions. This strategy does not need high-computational technology, and it is able to put into action in a very short amount of time. Our method is comprised of two stages: first, the capture… Read full abstract & cite →

MoveNET neural networks skeleton bullying machine learning

Abstract doi.org/10.14569/IJACSA.2023.0140578 PDF

79

Design of a Reliable Transmission Mechanism for Vehicle Data in Mobile Internet of Vehicles Driven by Edge Computing

Author 1: Wenjing Liu

In order to meet the business requirements of different applications in heterogeneous, random, and time-varying mobile network environments, the design of a reliable transmission mechanism is the core problem of the mobile Internet of vehicles. The current research is mainly based on the computing power support of roadside units, and… Read full abstract & cite →

Mobile network internet of vehicles reliable transmission edge computing

Abstract doi.org/10.14569/IJACSA.2023.0140579 PDF

80

Design of Intrusion Detection System using Ensemble Learning Technique in Cloud Computing Environment

Author 1: Rajesh Bingu Author 2: S. Jothilakshmi

The key advantage of the cloud is that it fluidly propagates to fulfil changeable requirements and provides an environment that is repeatable and can be scaled down instantly when needed. Therefore, it is necessary to protect this cloud environment from malicious attacks such as spamming, keylogging, Denial of Service (DoS)… Read full abstract & cite →

Cloud distributed denial of service intrusion detection ensemble recurrent neural network convolutional neural network random forest gated recurrent unit K-means clustering long short term memory

Abstract doi.org/10.14569/IJACSA.2023.0140580 PDF

81

A Novel Method for Anomaly Detection in the Internet of Things using Whale Optimization Algorithm

Author 1: Zhihui Zhu Author 2: Meifang Zhu

The Internet of Things (IoT) is integral to human life due to its pervasive applications in home appliances, surveillance, and environment monitoring. Resource-constrained IoT devices are easily accessible to attackers due to their direct connection to the unsafe Internet. Public access to the Internet makes IoT objects more susceptible to… Read full abstract & cite →

Internet of things anomaly detection intrusion detection firewall whale optimization algorithm accuracy

Abstract doi.org/10.14569/IJACSA.2023.0140581 PDF

82

Autonomous Path Planning for Industrial Omnidirectional AGV Based on Mechatronic Engineering Intelligent Optical Sensors

Author 1: Yuanyuan Pan

With the rapid development of modern industry, the application of automated mechanical and electronic technology is gradually increasing, and the research on automatic path planning is also receiving increasing attention. In this environment of rapid technological progress, rapid growth of the knowledge economy, and fierce competition, industrial intelligence has become… Read full abstract & cite →

Smart machinery optical sensors industrial development autonomous path planning

Abstract doi.org/10.14569/IJACSA.2023.0140582 PDF

83

A Study on the Evaluation Model of In-depth Learning for Oral English Learning in Online Education

Author 1: Yanli Ge

The trend of globalization in the world is becoming increasingly frequent, and people from different regions are communicating more closely. Therefore, the demand for a second language is constantly expanding, accelerating the development of the field of English oral evaluation and also accelerating the development of online education. The study… Read full abstract & cite →

Spoken English online education transformer model deep learning evaluation model

Abstract doi.org/10.14569/IJACSA.2023.0140583 PDF

84

Attribute-based Access Control Model in Healthcare Systems with Blockchain Technology

Author 1: Prince Arora Author 2: Avinash Bhagat Author 3: Mukesh Kumar

Blockchain and the healthcare sector have a serious concern with context to scalability, which has a challenge of converting arbitrary values to fixed values. The transfer of arbitrary data coming from diverse resources has another point of concern in the blockchain. In this paper, the author proposed a model that… Read full abstract & cite →

Blockchain healthcare permission level consensus level scalability

Abstract doi.org/10.14569/IJACSA.2023.0140584 PDF

85

A New Design of Optical Logic Gates with Transverse Electric and Magnetic

Author 1: Lili Liu Author 2: Haiquan Sun Author 3: Lishuang Hao Author 4: Cailiang Chen

This paper presents a new design of optical NOR and XNOR logic gates using a two-dimensional-hexagonal photonic crystal (2D-HPhC) that allows for both Transverse Electric (TE) and Transverse Magnetic (TM) polarization modes. The structure is very small in size and has a low delay time. The design includes three inputs… Read full abstract & cite →

Photonic crystal hexagonal lattice NOR XNOR transverse electric transverse magnetic

Abstract doi.org/10.14569/IJACSA.2023.0140585 PDF

86

Weapons Detection System Based on Edge Computing and Computer Vision

Author 1: Zufar R. Burnayev Author 2: Daulet O. Toibazarov Author 3: Sabyrzhan K. Atanov Author 4: Hüseyin Canbolat Author 5: Zhexen Y. Seitbattalov Author 6: Dauren D. Kassenov

Early detection of armed threats is crucial in reducing accidents and deaths resulting from armed conflicts and terrorist attacks. The most significant application of weapon detection systems would be found in public areas such as airports, stadiums, central squares, and on the battlefield in urban or rural conditions. Modern surveillance… Read full abstract & cite →

Internet of Things gun recognition edge device Raspberry pi military systems control network analytic

Abstract doi.org/10.14569/IJACSA.2023.0140586 PDF

87

Distributed Cooperative Control for Multi-UAV Flying Formation

Author 1: Belkacem Kada Author 2: Abdullah Y.Tameem Author 3: Ahmed A. Alzubairi Author 4: Uzair Ansari

The problem of collaborative pattern tracking in multi-agent systems (MAS) like unmanned aerial vehicles (UAV) is investigated in this article. First, a new method for distributed consensus is constructed inside the framework of the leader-following approach for second-order nonlinear MAS. The technique canceled the chattering effect observed in the conventional… Read full abstract & cite →

Formation control distributed consensus multi-agent systems multiple-UAV

Abstract doi.org/10.14569/IJACSA.2023.0140587 PDF

88

An Artificial Intelligent Methodology-based Bayesian Belief Networks Constructing for Big Data Economic Indicators Prediction

Author 1: Adil Al-Azzawi Author 2: Fernando Torre Mora Author 3: Chanmann Lim Author 4: Yi Shang

Economic indicator prediction in big data requires treating all random variables as an independent set of selective values and used as a discriminative method for classification tasks. A Bayesian network is a popular graphical representation approach for modeling probabilistic dependencies and causality among a set of random variables to incorporate… Read full abstract & cite →

STE Bayesian networks domain knowledge discriminative methods economic forecasting

Abstract doi.org/10.14569/IJACSA.2023.0140588 PDF

89

The Application of Virtual Technology Based on Posture Recognition in Art Design Teaching

Author 1: Qinyan Gao

With the development of virtual technology, posture recognition technology has been integrated into virtual technology. This new technology allows users to further understand and observe the activities carried out in life scenes based on their original observation of the external world. And it enables them to make intelligent decisions. Existing… Read full abstract & cite →

Posture recognition deep learning art design time convolutional network VR

Abstract doi.org/10.14569/IJACSA.2023.0140589 PDF

90

Business Data Analysis Based on Kissmetric in the Context of Big Data

Author 1: Kan Wang

The kissmetric data analysis model can be used for the analysis and research of business data, and the focused research method in this model is cluster analysis. To realize the effective application of Kissmetric data analysis model, the focused method is improved in the experiment. An improved hierarchical clustering algorithm… Read full abstract & cite →

Big data kissmetric data analysis density clustering hierarchical clustering

Abstract doi.org/10.14569/IJACSA.2023.0140590 PDF

91

From Monolith to Microservice: Measuring Architecture Maintainability

Author 1: Muhammad Hafiz Hasan Author 2: Mohd. Hafeez Osman Author 3: Novia Indriaty Admodisastro Author 4: Muhamad Sufri Muhammad

The migration of monolithic applications to the cloud is a popular trend, with microservice architecture being a commonly targeted architectural pattern. The motivation behind this migration is often rooted in the challenges associated with maintaining legacy applications and the need to adapt to rapidly changing business requirements. To ensure that… Read full abstract & cite →

Monolith cloud migration software architecture design quality maintainability quality metric

Abstract doi.org/10.14569/IJACSA.2023.0140591 PDF

92

Improved 3D Rotation-based Geometric Data Perturbation Based on Medical Data Preservation in Big Data

Author 1: Jayanti Dansana Author 2: Manas Ranjan Kabat Author 3: Prasant Kumar Pattnaik

With the rise in technology, a huge volume of data is being processed using data mining, especially in the healthcare sector. Usually, medical data consist of a lot of personal data, and third parties utilize it for the data mining process. Perturbation in health care data highly aids in preventing… Read full abstract & cite →

Data mining privacy health care data machine learning perturbation improved fuzzy c-means horse herd optimization kernel based support vector machine

Abstract doi.org/10.14569/IJACSA.2023.0140592 PDF

93

An Analysis of Bias in Facial Image Processing: A Review of Datasets

Author 1: Amarachi M. Udefi Author 2: Segun Aina Author 3: Aderonke R. Lawal Author 4: Adeniran I. Oluwarantie

Facial image processing is a major research area in digital signal processing. According to recent studies, most commercial facial image processing systems are prejudiced by bias towards specific races, ethnicities, cultures, ages, and genders. In some circumstances, bias may be traced back to the algorithms employed, while in others, bias… Read full abstract & cite →

Digital signal processing facial image processing bias geo-diversity facial image datasets k-means clustering principal component analysis

Abstract doi.org/10.14569/IJACSA.2023.0140593 PDF

94

Presenting a Planning Model for Urban Waste Transportation and Selling Recycled Products with a Green Chain Approach

Author 1: Baoqing Ju

The growing amount of municipal solid waste (MSW) is a significant issue, especially in large urban areas with inadequate landfill capacities and ineffective waste management systems. Several supply chain options exist for implementing an MSW management system; however, numerous technical, economic, environmental, and social factors must be evaluated to determine… Read full abstract & cite →

Planning model urban waste transportation recycled products green supply chain

Abstract doi.org/10.14569/IJACSA.2023.0140594 PDF

95

Improved Tuna Swarm-based U-EfficientNet: Skin Lesion Image Segmentation by Improved Tuna Swarm Optimization

Author 1: Khaja Raoufuddin Ahmed Author 2: Siti Zura A Jalil Author 3: Sahnius Usman

Skin cancers have been on an upward trend, with melanoma being the most severe type. A growing body of investigation is employing digital camera images to computer-aided examine suspected skin lesions for cancer. Due to the presence of distracting elements including lighting fluctuations and surface light reflections, interpretation of these… Read full abstract & cite →

Skin lesion skin cancer segmentation deep learning model optimization EfficientNet Unet

Abstract doi.org/10.14569/IJACSA.2023.0140595 PDF

96

Analysis and System Construction of ALSTM-LSTM Model-based Sports Jumping Rope Movement

Author 1: Peng Su Author 2: Zhipeng Li Author 3: Weiguo Li Author 4: Yongli Yang

Computer technology's maturity has enabled intelligent and interactive sports training. Jumping rope test in secondary school faces difficulties due to bulky testing equipment and inefficient data measurement. An ALSTM-LSTM model based on visual human posture estimation is proposed for motion system analysis. Joint pose features are fused through LSTM, and… Read full abstract & cite →

ALSTM-LSTM model jumping rope exercise Sports human posture estimation algorithm attention mechanisms

Abstract doi.org/10.14569/IJACSA.2023.0140596 PDF

97

A Novel Label Propagation Method for Community Detection Based on Game Theory

Author 1: Mengqin Ning Author 2: Jun Gong Author 3: Zhipeng Zhou

Community is a mesoscopic feature of the multi-scale phenomenon of complex networks, which is the bridge to revealing the formation and evolution of complex networks. Due to high computational efficiency, label propagation becomes a topic of considerable interest within community detection, but its randomness yet produces serious fluctuations. Facing the… Read full abstract & cite →

Community detection label propagation node linkage complete subgraph game theory

Abstract doi.org/10.14569/IJACSA.2023.0140597 PDF

98

Intelligent Brake Controller Based on Intelligent Highway Signs to Avoid Accidents on Algerian Roads

Author 1: AHMED MALEK Nada Author 2: BOUDOUR Rachid

Despite the considerable efforts of the Algerian authorities to reduce the high number of accidents, therefore, fatalities on the country’s roads, the problem persists. To address this worrying situation, it is necessary to adopt new technologies and approaches that can assist Algerian drivers forcing them to comply with driving rules… Read full abstract & cite →

Intelligent Transportation Systems (ITS) Intelligent System Adaptation (ISA) road accidents intelligent road signalization decision

Abstract doi.org/10.14569/IJACSA.2023.0140598 PDF

99

Experimentation on Iterated Local Search Hyper-heuristics for Combinatorial Optimization Problems

Author 1: Stephen A. Adubi Author 2: Olufunke O. Oladipupo Author 3: Oludayo O. Olugbara

Designing effective algorithms to solve cross-domain combinatorial optimization problems is an important goal for which manifold search methods have been extensively investigated. However, finding an optimal combination of perturbation operations for solving cross-domain optimization problems is hard because of the different characteristics of each problem and the discrepancies in the… Read full abstract & cite →

Combinatorial optimization heuristic algorithm heuristic categorization local search Thompson sampling

Abstract doi.org/10.14569/IJACSA.2023.0140599 PDF

100

Serious Game Design Principles for Children with Autism to Facilitate the Development of Emotion Regulation

Author 1: Nor Farah Naquiah Mohamad Daud Author 2: Muhammad Haziq Lim Abdullah Author 3: Mohd Hafiz Zakaria

Autism spectrum disorder (ASD) is a deficit-driven neurodevelopmental condition in three areas, which are social interactions, communication, and the presence of restricted interests and repetitive behaviours. Children with autism mainly suffer from emotional disturbance that emerges as meltdowns, tantrums, and aggression, increasing the risk of developing mental health issues. Several… Read full abstract & cite →

Autism spectrum disorders serious game emotion regulation serious game design principles

Abstract doi.org/10.14569/IJACSA.2023.01405100 PDF

101

A Novel Approach for an Outdoor Oyster Mushroom Cultivation using a Smart IoT-based Adaptive Neuro Fuzzy Controller

Author 1: Dakhole Dipali Author 2: Thiruselvan Subramanian Author 3: G Senthil Kumaran

An automatic environment control systems for greenhouses are turning to be very significant because of food demand, and rise in temperature and population of the world. This article proposes to design and implement a low cost, robust and water efficient autonomous smart internet of things (IoT) system to monitor and… Read full abstract & cite →

Precision agriculture adaptive neuro fuzzy inference system fuzzy inference system oyster mushroom cultivation internet of things

Abstract doi.org/10.14569/IJACSA.2023.01405101 PDF

102

Hybrid Particle Swarm Optimization-based Modeling of Wireless Sensor Network Coverage Optimization

Author 1: Guangyue Kou Author 2: Guoheng Wei

To address the problem of insufficient coverage of WSN and poor network coverage in obstacle environments, the study proposes an improved particle swarm optimization (PSO) combined with a hybrid grey wolf algorithm. The speed and position of the PSO particle's search for superiority are enhanced through the guiding nature of… Read full abstract & cite →

Particle swarm optimization wireless sensor networks network coverage grey wolf optimization grey wolf particle swarm optimization

Abstract doi.org/10.14569/IJACSA.2023.01405102 PDF

103

Effect of Multi-SVC Installation for Loss Control in Power System using Multi-Computational Techniques

Author 1: N. Balasubramaniam Author 2: N. A. M. Kamari Author 3: I. Musirin Author 4: A. A. Ibrahim

Flexible AC Transmission Systems (FACTs) play a vital role in minimizing the power losses and improving voltage profile in power transmission system. These increase the real power transfer capacity of the system. However, optimal location of sizing of the FACTs devices determines the extent of benefits provided by the FACTs… Read full abstract & cite →

Flexible AC Transmission Systems (FACTs) Shunt VARs Compensators (SVCs) Evolutionary Programming (EP) Artificial Immune System (AIS) Immune Evolutionary Programming (IEP)

Abstract doi.org/10.14569/IJACSA.2023.01405103 PDF

104

Economic Development Efficiency Based on Tobit Model: Guided by Sustainable Development

Author 1: Ming Liu

At present, in resource-based regions in China, it has been seriously restricted in the harmonious growth of green economy (GE) and environment. To find and solve the problems that affect the quality of regional GE development, the study took Xinjiang, a resource-based province, as the research object. With the data… Read full abstract & cite →

Tobit model DEA economic development efficiency Moran index

Abstract doi.org/10.14569/IJACSA.2023.01405104 PDF

105

A Proposed Approach for Motif Finding Problem Solved on Heterogeneous Cluster with Best Scheduling Algorithm

Author 1: Abdullah Barghash Author 2: Ahmed Harbaoui

The Motif Finding Problem (MFP) is the problem of finding patterns in sequences of DNA. This paper discusses and presents an enhanced scheduling approach to solve the motif problem on the Heterogeneous Cluster by making a comparison between exact algorithms. The method that was followed is to analyze several exact… Read full abstract & cite →

Motif finding problem scheduling algorithm het-erogeneous high-performance computing

Abstract doi.org/10.14569/IJACSA.2023.01405105 PDF

106

Fruit Classification using Colorized Depth Images

Author 1: Dhong Fhel K. Gom-os

Fruit classification is a computer vision task that aims to classify fruit classes correctly, given an image. Nearly all fruit classification studies have used RGB color images as inputs, a few have used costly hyperspectral images, and a few classical ML-based have used colorized depth images. Depth images have apparent… Read full abstract & cite →

Fruit classification depth image depth colorization CNN transfer learning

Abstract doi.org/10.14569/IJACSA.2023.01405106 PDF

107

From Phishing Behavior Analysis and Feature Selection to Enhance Prediction Rate in Phishing Detection

Author 1: Asmaa Reda Omar Author 2: Shereen Taie Author 3: Masoud E.Shaheen

Phishing incidents have captured the attention of security experts and end users in recent years as they have become more frequent, widespread, and sophisticated. The researchers offered a variety of strategies for detecting phishing attacks. Over time, these approaches suffer from insufficient performance and the inability to identify zero attacks… Read full abstract & cite →

Gradient boosting light GBM machine learning phishing phishing URL random forest

Abstract doi.org/10.14569/IJACSA.2023.01405107 PDF

108

Ensemble of Deep Learning Models for Multi-plant Disease Classification in Smart Farming

Author 1: Hoang-Tu Vo Author 2: Luyl-Da Quach Author 3: Hoang Tran Ngoc

Plant disease identification at an early stage plays a crucial role in ensuring efficient management of the diseases and crop protection. The occurrence of plant ailments can result in substantial reductions in both crop yield and quality, which may cause financial setbacks for farmers and lead to food shortages for… Read full abstract & cite →

Ensemble learning automated disease detection systems transfer learning models plant diseases

Abstract doi.org/10.14569/IJACSA.2023.01405108 PDF

109

Primal-Optimal-Binding LPNet: Deep Learning Architecture to Predict Optimal Binding Constraints of a Linear Programming Problem

Author 1: Natdanai Kafakthong Author 2: Krung Sinapiromsaran

Identifying an optimal basis for a linear programming problem is a challenging learning task. Traditionally, an optimal basis is obtained via the iterative simplex method which improves from the current basic feasible solution to the adjacent one until it reaches optimal. The obtained result is the value of the optimal… Read full abstract & cite →

Deep learning convolution neural network linear programming basic feasible solution optimization

Abstract doi.org/10.14569/IJACSA.2023.01405109 PDF

110

Detection of Epileptic Seizures Based-on Channel Fusion and Transformer Network in EEG Recordings

Author 1: Jose Yauri Author 2: Manuel Lagos Author 3: Hugo Vega-Huerta Author 4: Percy De-La-Cruz-VdV Author 5: Gisella Luisa Elena Maquen-Ni˜no Author 6: Enrique Condor-Tinoco

According to the World Health Organization, epilepsy affects more than 50 million people in the world, and specifically, 80% of them live in developing countries. Therefore, epilepsy has become among the major public issue for many governments and deserves to be engaged. Epilepsy is characterized by uncontrollable seizures in the… Read full abstract & cite →

Epilepsy epilepsy detection EEG EEG channel fusion convolutional neural network self-attention

Abstract doi.org/10.14569/IJACSA.2023.01405110 PDF

111

Light Field Spatial Super-resolution via Multi-level Perception and View Reorganization

Author 1: Yifan Mao Author 2: Zaidong Tong Author 3: Xin Zheng Author 4: Xiaofei Zhou Author 5: Youzhi Zhang Author 6: Deyang Liu

Light field (LF) imaging can obtain spatial and angular information of three-dimensional (3D) scene through a single shot, which enables a wide range of applications in the fields of 3D reconstruction, refocusing, virtual reality, etc. However, due to the inherent trade-off problem, the spatial resolution of acquired LF images is… Read full abstract & cite →

Light field image spatial super-resolution multi-level perception view reorganization

Abstract doi.org/10.14569/IJACSA.2023.01405111 PDF

112

Enhancing Intrusion Detection Systems with XGBoost Feature Selection and Deep Learning Approaches

Author 1: Khalid A. Binsaeed Author 2: Alaaeldin M. Hafez

As cyber-attacks evolve in complexity and frequency; the development of effective network intrusion detection systems (NIDS) has become increasingly important. This paper investigates the efficacy of the XGBoost algorithm for feature selection combined with deep learning (DL) techniques, such as ANN, 1DCNN, and BiLSTM, to create accurate intrusion detection systems… Read full abstract & cite →

Intrusion detection system deep learning (DL) XG-Boost feature extraction Bidirectional Long Short-Term Memory (BiLSTM) Artificial Neural Networks (ANN) 1D Convolutional Neural Network (1DCNN) Synthetic Minority Oversampling Tech-nique (SMOTE) NSL-KDD dataset CIC-IDS2017 UNSW-NB15

Abstract doi.org/10.14569/IJACSA.2023.01405112 PDF

113

QMX-BdSL49: An Efficient Recognition Approach for Bengali Sign Language with Quantize Modified Xception

Author 1: Nasima Begum Author 2: Saqib Sizan Khan Author 3: Rashik Rahman Author 4: Ashraful Haque Author 5: Nipa Khatun Author 6: Nusrat Jahan Author 7: Tanjina Helaly

Sign language is developed to bridge the com-munication gap between individuals with and without hearing impairment or speech difficulties. Individuals with hearing and speech impairment typically rely on hand signs as a means of expressing themselves. However, people, in general, may not have sufficient knowledge of sign language, thus a… Read full abstract & cite →

Bengali sign language CNN computer vision model quantization Raspberry Pi 4 transfer learning Tiny ML

Abstract doi.org/10.14569/IJACSA.2023.01405113 PDF

114

Exploring Forest Transformation by Analyzing Spatial-temporal Attributes of Vegetation using Vegetation Indices

Author 1: Anubhava Srivastava Author 2: Sandhya Umrao Author 3: Susham Biswas

The world’s ecosystem and environment are rapidly deteriorating with an increase in the depletion of forest conditions due to forest fires. In recent past years, wildfire incidents in Sikkim have increased due to severe climatic changes such as turbulent rainfall, untimely summers, extreme droughts in winters, and a reduction in… Read full abstract & cite →

Classification change detection vegetation indices landsat machine learning

Abstract doi.org/10.14569/IJACSA.2023.01405114 PDF

115

A Novel Mango Grading System Based on Image Processing and Machine Learning Methods

Author 1: Thanh-Nghi Doan Author 2: Duc-Ngoc Le-Thi

Mangoes are a great commercial fruit and are widely cultivated in tropical areas. In smart agriculture, the automatic quality inspection and grading application is essential to post-harvest processing, due to the laborious nature and inconsistencies of traditional manual visual grading. This paper presents a low-cost, efficient, and effective mango grading… Read full abstract & cite →

Smart agriculture mango grading image processing machine learning methods

Abstract doi.org/10.14569/IJACSA.2023.01405115 PDF

116

Mobile Module in Reconfigurable Intelligent Space: Applications and a Review of Developed Versions

Author 1: Dinh Tuan Tran Author 2: Tatsuki Satooka Author 3: Joo-Ho Lee

Due to the immobility of devices in conventional intelligent spaces, the quality and quantity of their applications (i.e., services) are thus restricted. To provide better and more applications, the devices in the spaces must be able to move autonomously to ideal positions. To solve this issue, the concepts of reconfigurable… Read full abstract & cite →

Climbing Robot intelligent space iSpace mobile module MoMo reconfigurable intelligent space R+iSpace smart home ubiquitous environment

Abstract doi.org/10.14569/IJACSA.2023.01405116 PDF

117

RETRACTED: A Fast and Accurate Deep Learning based Approach to Measure Fetal Fat from MRI Scan Images

Author 1: Nagabotu Vimala Author 2: Anupama Namburu

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 →

Fetal adipose tissue fetal MRI automatic segmentation radiologist

Abstract doi.org/10.14569/IJACSA.2023.01405117 PDF

118

Blockchain-enabled Secure Privacy-preserving System for Public Health-center Data

Author 1: Md. Shohidul Islam Author 2: Mohamed Ariff Bin Ameedeen Author 3: Husnul Ajra Author 4: Zahian Binti Ismail

Health center data implicates a large scale of individual health records and is immensely concealment sensory. In the virtual era of large-size data, the increasingly different health informatization causes it important that health data needs to be stored precisely and securely. However, daily health data transactions carry the risk of… Read full abstract & cite →

Blockchain data health public secure transaction

Abstract doi.org/10.14569/IJACSA.2023.01405118 PDF

119

Video-based Heart Rate Estimation using Embedded Architectures

Author 1: Hoda El Boussaki Author 2: Rachid Latif Author 3: Amine Saddik

Monitoring a driver’s heart rate is an important determinant to his health condition. The monitoring system must be accurate and non restrictive to the user’s actions. Estimating the driver’s change in his usual heart beat pattern can prevent undesirable outcomes. Several methods exist to estimate heart rate without any contact… Read full abstract & cite →

Heart rate driver photoplethysmography non-contact embedded architectures

Abstract doi.org/10.14569/IJACSA.2023.01405119 PDF

120

Prediction of Death Counts Based on Short-term Mortality Fluctuations Data Series using Multi-output Regression Models

Author 1: Md Imtiaz Ahmed Author 2: Nurjahan Author 3: Md. Mahbub-Or-Rashid Author 4: Farhana Islam

Effective public health responses to unexpected epidemiological hazards or disasters need rapid and reliable monitoring. But, monitoring fast-changing situations and ac-quiring timely, accurate, and cross-national statistics to address short-term mortality fluctuations due to these hazards is very challenging. Estimating weekly excess deaths is the most solid and accurate way to… Read full abstract & cite →

Multi-output regression model short-term mortality fluctuations machine learning deep learning

Abstract doi.org/10.14569/IJACSA.2023.01405120 PDF

121

Opportunities in Real Time Fraud Detection: An Explainable Artificial Intelligence (XAI) Research Agenda

Author 1: Eleanor Mill Author 2: Wolfgang Garn Author 3: Nick Ryman-Tubb Author 4: Chris Turner

Regulatory and technological changes have recently transformed the digital footprint of credit card transactions, providing at least ten times the amount of data available for fraud detection practices that were previously available for analysis. This newly enhanced dataset challenges the scalability of traditional rule-based fraud detection methods and creates an… Read full abstract & cite →

Artificial intelligence explainable AI machine learning credit card fraud

Abstract doi.org/10.14569/IJACSA.2023.01405121 PDF

122

Detecting Pneumonia with a Deep Learning Model and Random Data Augmentation Techniques

Author 1: Tawfik Guesmi

This research paper presents an investigation into the detection of pneumonia using deep learning models and data augmentation techniques. The study compares and evaluates the performance of different models based on experimental results. The proposed model consists of multiple convolutional layers and maxpooling layers. Extensive experiments were conducted on a… Read full abstract & cite →

Deep learning pneumonia detection convolutional neural network random data augmentation

Abstract doi.org/10.14569/IJACSA.2023.01405122 PDF

123

Cross-age Face Image Similarity Measurement Based on Deep Learning Algorithms

Author 1: Jing Zhang Author 2: Ningyu Hu

In this study, a multi-feature fusion and decoupling solution based on the RNN is proposed from a discriminative perspective. This method can address the identity and age information extraction losses in cross-age face recognition. This method not only constrains the correlation between identity and age using correlation loss but also… Read full abstract & cite →

Cross-age image recognition RNN feature fusion decoupling loss function

Abstract doi.org/10.14569/IJACSA.2023.01405123 PDF