IJACSA Vol. 14 Issue 4 (2023)

1

An End-to-End Deep Learning System for Recommending Healthy Recipes Based on Food Images

Author 1: Ledion Lico Author 2: Indrit Enesi Author 3: Sai Jawahar Reddy Meka

Healthy food leads to healthy living and it is a major issue in our days. Nutri-Score is a nutrition label that can be calculated from the nutritional values of a food and helps evaluating the healthiness of it. Nevertheless, we don’t always have the nutritional values of the food, so… Read full abstract & cite →

Deep learning nutri-score new dataset healthy food accuracy

Abstract doi.org/10.14569/IJACSA.2023.0140401 PDF

2

An Automatic Framework for Number Plate Detection using OCR and Deep Learning Approach

Author 1: Yash Shambharkar Author 2: Shailaja Salagrama Author 3: Kanhaiya Sharma Author 4: Om Mishra Author 5: Deepak Parashar

The use of automatic number plate detection devices in safety, commercial, and security has increased over the past few years. Number plate detection using computer vision is used to provide fast and accurate detection and recognition. Lately, many computerized approaches have been developed for the identification of vehicle registration details… Read full abstract & cite →

Number plat detection recognition deep learning OCR image classification

Abstract doi.org/10.14569/IJACSA.2023.0140402 PDF

3

Convolution Neural Networks for Phishing Detection

Author 1: Arun D. Kulkarni

Phishing is one of the significant threats in cyber security. Phishing is a form of social engineering that uses e-mails with malicious websites to solicitate personal information. Phishing e-mails are growing in alarming number. In this paper we propose a novel machine learning approach to classify phishing websites using Convolution… Read full abstract & cite →

Classification convolution neural networks machine learning phishing URLs

Abstract doi.org/10.14569/IJACSA.2023.0140403 PDF

4

A Radial Basis Network-based Early Warning Algorithm for Physical Injuries in Marathon Athletes

Author 1: Ruisheng Jiao Author 2: Juan Luo

For marathon runners, a single injury may affect their lifelong athletic career, so their injury management is very important. The current injury management for marathon runners has a certain lag, and the current injury warning is mainly based on manual teams, which is costly and poorly automated. To solve these… Read full abstract & cite →

Radial basis neural network exponentially decreasing inertia weights early warning algorithm sports injury marathon particle swarm model building

Abstract doi.org/10.14569/IJACSA.2023.0140404 PDF

5

Classification of Hand Movements Based on EMG Signals using Topological Features

Author 1: Jianyang Li Author 2: Lei Yang Author 3: Yunan He Author 4: Osamu Fukuda

Hand movement classification based on Electromyo-graphy (EMG) signals has been extensively investigated in the past decades as a promising approach used for controlling upper prosthetics or robotics. Topological data analysis is a relatively new and increasingly popular tool in data science that uses mathematical techniques from topology to analyze and… Read full abstract & cite →

EMG classification persistent homology topological features betti curve

Abstract doi.org/10.14569/IJACSA.2023.0140405 PDF

6

Research on Automatic Intrusion Detection Method of Software-Defined Security Services in Cloud Environment

Author 1: Xingjie Huang Author 2: Jing Li Author 3: Jinmeng Zhao Author 4: Beibei Su Author 5: Zixian Dong Author 6: Jing Zhang

In a cloud environment, software defined security services are highly vulnerable to malicious virus attacks. In response to software security issues, this project plans to use machine learning technology to achieve automated detection of software security services in a cloud environment. Firstly, study the intrusion characteristics of software defined security… Read full abstract & cite →

Cloud environment software security services invasion detection machine learning

Abstract doi.org/10.14569/IJACSA.2023.0140406 PDF

7

Experimental Analysis of WebHDFS API Throughput

Author 1: Yordan Kalmukov Author 2: Milko Marinov

Data analysis is very important for the success of any business today. It helps to optimize business processes, analyze users’ behavior, demands etc. There are powerful data analytics tools, such as the ones of the Hadoop ecosystem, but they require multiple high-performance servers to run and high-qualified experts to install… Read full abstract & cite →

WebHDFS API throughput analysis data analytical tools Hadoop Distributed File System (HDFS)

Abstract doi.org/10.14569/IJACSA.2023.0140407 PDF

8

Gradually Generative Adversarial Networks Method for Imbalanced Datasets

Author 1: Muhammad Misdram Author 2: Muljono Author 3: Purwanto Author 4: Edi Noersasongko

Imbalanced dataset can cause obstacles to classification and result in a decrease in classification performance. There are several methods that can be used to deal the data imbalances, such as methods based on SMOTE and Generative Adversarial Networks (GAN). These methods are used for overcoming data oversampling so that the… Read full abstract & cite →

Classification imbalance GAN model GradGAN model significant oversampling

Abstract doi.org/10.14569/IJACSA.2023.0140408 PDF

9

Human Fall Detection for Smart Home Caring using Yolo Networks

Author 1: Bo LUO

In order to help the elderly and limit the incidence of falls that result in injuries, effective fall detection in smart home applications is a challenging topic. Many techniques have been created employing both vision and non-vision-based technologies. Many researchers have been drawn to the vision-based technique amongst them because… Read full abstract & cite →

YOLO computer vision fall detection smart home caring

Abstract doi.org/10.14569/IJACSA.2023.0140409 PDF

10

Investigation of You Only Look Once Networks for Vision-based Small Object Detection

Author 1: Li YANG

Small object detection is a challenging issue in computer vision-based algorithms. Although various methods have been investigated for common objects including person, car and others, small object are not addressed in this issue. Therefore, it is necessary to conduct more researches on them. This paper is focused on small object… Read full abstract & cite →

YOLOv7 YOLOv6 YOLOv5 computer vision jewellery detection small object detection real-time detection

Abstract doi.org/10.14569/IJACSA.2023.0140410 PDF

11

A Novel Data Aggregation Method for Underwater Wireless Sensor Networks using Ant Colony Optimization Algorithm

Author 1: Lianchao Zhang Author 2: Jianwei Qi Author 3: Hao Wu

Underwater Wireless Sensor Networks (UWSNs) have a wide range of applications for monitoring the ocean and exploring the offshore environment. Sensor nodes are typically dispersed throughout the area of interest at different depths in these networks. Sensor nodes on the seabed must use a routing protocol in order to communicate… Read full abstract & cite →

UWSNs routing data aggregation energy efficiency ant colony optimization algorithm

Abstract doi.org/10.14569/IJACSA.2023.0140411 PDF

12

A New Machine Learning-based Hybrid Intrusion Detection System and Intelligent Routing Algorithm for MPLS Network

Author 1: Mohammad Azmi Ridwan Author 2: Nurul Asyikin Mohamed Radzi Author 3: Kaiyisah Hanis Mohd Azmi Author 4: Fairuz Abdullah Author 5: Wan Siti Halimatul Munirah Wan Ahmad

Machine Learning (ML) is seen as a promising application that offers autonomous learning and provides optimized solutions to complex problems. The current Multiprotocol Label Switching (MPLS)-based communication system is packed with exponentially increasing applications and different Quality-of-Services (QoS) requirements. As the network is getting complex and congested, it will become… Read full abstract & cite →

Machine learning intrusion detection system routing algorithm quality of service communication system

Abstract doi.org/10.14569/IJACSA.2023.0140412 PDF

13

Plant Disease Classification and Adversarial Attack based CL-CondenseNetV2 and WT-MI-FGSM

Author 1: Yong Li Author 2: Yufang Lu

In recent years, deep learning has been increasingly used to the detection of pests and diseases. Unfortunately, deep neural networks are particularly vulnerable when attacked by adversarial examples. Hence it is vital to explore the creation of intensely aggressive adversarial examples to increase neural network robustness. This paper proposes a… Read full abstract & cite →

Adversarial examples FGSM plants diseases and pests attention mechanism CondenseNetV2

Abstract doi.org/10.14569/IJACSA.2023.0140413 PDF

14

EMOCASH: An Intelligent Virtual-Agent Based Multiplayer Online Serious Game for Promoting Money and Emotion Recognition Skills in Egyptian Children with Autism

Author 1: Hussein Karam Hussein Abd El-Sattar

Autism, often known as "autism spectrum disorders (ASD)," is one of the most common developmental disabilities that affect how people learn, behave, communicate, and interact with others. Two crucial everyday tasks that people with ASD typically struggle with are managing finances and recognizing emotions. As the online gaming sector grows… Read full abstract & cite →

Autism virtual agents serious games digital technology AI online gaming usability and accessibility

Abstract doi.org/10.14569/IJACSA.2023.0140414 PDF

15

Adaptive Balance Optimizer: A New Adaptive Metaheuristic and its Application in Solving Optimization Problem in Finance

Author 1: Purba Daru Kusuma Author 2: Ashri Dinimaharawati

Adaptability becomes important in developing metaheuristic algorithms, especially in tackling stagnation. Unfortunately, almost all metaheuristics are not equipped with an adaptive approach that makes them change their strategy when stagnation happens during iteration. Based on this consideration, a new metaheuristic, called an adaptive balance optimizer (ABO), is proposed in this… Read full abstract & cite →

Optimization metaheuristic adaptability portfolio optimization IDX30

Abstract doi.org/10.14569/IJACSA.2023.0140415 PDF

16

Improved Speaker Recognition for Degraded Human Voice using Modified-MFCC and LPC with CNN

Author 1: Amit Moondra Author 2: Poonam Chahal

Economical speaker recognition solution from degraded human voice signal is still a challenge. This article is covering results of an experiment which targets to improve feature extraction method for effective speaker identification from degraded human audio signal with the help of data science. Every speaker’s audio has identical characteristics. Human… Read full abstract & cite →

Data science artificial intelligence MFCC LPC CNN mel-spectrum speaker recognition

Abstract doi.org/10.14569/IJACSA.2023.0140416 PDF

17

Customer Segmentation of Personal Credit using Recency, Frequency, Monetary (RFM) and K-means on Financial Industry

Author 1: Hafidh Rizkyanto Author 2: Ford Lumban Gaol

This research focuses on how to build a segmentation model for credit customers to identify the potential for defaulting credit customers based on their transaction history. Currently, there is no segmentation available for this possibility of payment failure. Credit scoring helps in minimizing credit risk when applying for credit. However… Read full abstract & cite →

Credit credit risk recency frequency monetary K-means

Abstract doi.org/10.14569/IJACSA.2023.0140417 PDF

18

Challenges of Digital Twin Technologies Integration in Modular Construction: A Case from a Manufacturer’s Perspective

Author 1: Laith Jamal Aldabbas

Automated models of physical objects are known as Digital twins; letting one to outline, test, array, and monitor and manage robotics in the real world. .CPS (Cyber-physical system) data have to be assembled through real life procedures to form a real-time monitoring cyber model in order to produce Digital Twin… Read full abstract & cite →

Digital Twin DTs enabling technologies digital twin model applications challenges literature review

Abstract doi.org/10.14569/IJACSA.2023.0140418 PDF

19

SuffixAligner: A Python-based Aligner for Long Noisy Reads

Author 1: Zeinab Rabea Author 2: Sara El-Metwally Author 3: Samir Elmougy Author 4: M. Z. Rashad

Third-generation sequencing technologies have revolutionized genomics research by generating long reads that resolve many computational challenges such as long genomics variations and repeats. Mapping a set of sequencing reads against a reference genome is the first step of many genomic data analysis pipelines. Many mapping/alignment tools are introduced and always… Read full abstract & cite →

Long reads sequencing reads mapping suffix array alignment seed extending LF mapping

Abstract doi.org/10.14569/IJACSA.2023.0140419 PDF

20

Scrum: A Systematic Literature Review

Author 1: Adrielle Cristina Sassa Author 2: Isabela Alves de Almeida Author 3: Tábata Nakagomi Fernandes Pereira Author 4: Milena Silva de Oliveira

This study presents a Systematic Literature Review on an agile project management tool. The study offers a brief comparison between traditional and agile project management methodologies. Their respective concepts and characteristics are laid out to highlight and explain their main differences. The agile methods include quantitative and qualitative data, showing… Read full abstract & cite →

Project management agile methods agile manifesto scrum

Abstract doi.org/10.14569/IJACSA.2023.0140420 PDF

21

Artificial Intelligence Based Modelling for Predicting CO2 Emission for Climate Change Mitigation in Saudi Arabia

Author 1: Sultan Alamri Author 2: Shahnawaz Khan

Climate change (such as global warming) causes the barrier in the attaining sustainable development goals. Emission of greenhouse gases (primarily carbon dioxide CO2 emission) are the root cause of global warming. This research analyses and investigates the emission of CO2 and attempts to develop an optimal model to forecast the… Read full abstract & cite →

Exponential smoothing transformers temporal convolutional network neural basis expansion analysis climate change

Abstract doi.org/10.14569/IJACSA.2023.0140421 PDF

22

Implementation of Revised Heuristic Knowledge in Average-based Interval for Fuzzy Time Series Forecasting of Tuberculosis Cases in Sabah

Author 1: Suriana Lasaraiya Author 2: Suzelawati Zenian Author 3: Risman Mat Hasim Author 4: Azmirul Ashaari

Fuzzy time series forecasting is one method used to forecast in certain reality problems. The research on fuzzy time series forecasting has been increased due to its capability in dealing with vagueness and uncertainty. In this paper, we are dealing with implementation of revised heuristic knowledge to basic average-based interval… Read full abstract & cite →

Fuzzy time series forecasting length of interval average-based interval heuristic knowledge

Abstract doi.org/10.14569/IJACSA.2023.0140422 PDF

23

Event Feature Pre-training Model Based on Public Opinion Evolution

Author 1: WANG Nan Author 2: TAN Shu-Ru Author 3: XIE Xiao-Lan Author 4: LI Hai-Rong Author 5: JIANG Jia-Hui

The comments in the evolution of network public opinion events not only reflect the attitude of netizens towards the event itself, but also are the key basis for mastering the dynamics of public opinion. According to the comment data in the event evolution process, an event feature vector pre-training model… Read full abstract & cite →

Event vectorization NL2ER-transformer model public opinion reversal prediction evolution of public opinion event multi label semi supervised learning

Abstract doi.org/10.14569/IJACSA.2023.0140423 PDF

24

A Novel Network Intrusion Detection System Based on Semi-Supervised Approach for IoT

Author 1: Durga Bhavani A Author 2: Neha Mangla

An intrusion detection system (IDS) is one of the most effective ways to secure a network and prevent unauthorized access and security attacks. But due to the lack of adequately labeled network traffic data, researchers have proposed several feature representations models over the past three years. However, these models do… Read full abstract & cite →

IoT security intrusion detection system semi-supervised autoencoder clustering machine learning

Abstract doi.org/10.14569/IJACSA.2023.0140424 PDF

25

Iris Recognition Through Edge Detection Methods: Application in Flight Simulator User Identification

Author 1: Sundas Naqeeb Khan Author 2: Samra Urooj Khan Author 3: Onyeka Josephine Nwobodo Author 4: Krzysztof Adam. Cyran

To meet the increasing security requirement of authorized users of flight simulators, personal identification is becoming more and more important. Iris recognition stands out as one of the most accurate biometric methods in use today. Iris recognition is done through different edge detection methods. Therefore, it is important to have… Read full abstract & cite →

Identification authentication detection canny Sobel Prewitt PSNR SNR SSIM MSE

Abstract doi.org/10.14569/IJACSA.2023.0140425 PDF

26

Personalized Music Recommendation Based on Interest and Emotion: A Comparison of Multiple Algorithms

Author 1: Xiuli Yan

Recommendation algorithms can greatly improve the efficiency of information retrieval for users. This article briefly introduced recommendation algorithms based on association rules and algorithms based on interest and emotion analysis. After crawling music and comment data from the NetEase Cloud platform, a simulation experiment was conducted. Firstly, the performance of… Read full abstract & cite →

Interest and emotion recommendation algorithm music personalization

Abstract doi.org/10.14569/IJACSA.2023.0140426 PDF

27

Research on Customer Retention Prediction Model of VOD Platform Based on Machine Learning

Author 1: Quansheng Zhao Author 2: Zhijie Zhao Author 3: Liu Yang Author 4: Lan Hong Author 5: Wu Han

Advanced wireless technology and smart mobile devices allow users to watch Internet video from almost anywhere. The major VOD platforms are competing with each other for customers, slowly shifting from a "product-centric" strategic goal to a "customer-centric" one. At present, existing research is limited to platform business model and development… Read full abstract & cite →

Video-on-demand platform Customer Retention Forecast RFM Model Machine Learning SHAP

Abstract doi.org/10.14569/IJACSA.2023.0140427 PDF

28

Development of Computer Vision-enabled Augmented Reality Games to Increase Motivation for Sports

Author 1: Bauyrzhan Doskarayev Author 2: Nurlan Omarov Author 3: Bakhytzhan Omarov Author 4: Zhuldyz Ismagulova Author 5: Zhadra Kozhamkulova Author 6: Elmira Nurlybaeva Author 7: Galiya Kasimova

This research paper presents the development of computer vision-enabled augmented reality games based on action detection to increase motivation for sports. With the increasing popularity of digital games, physical activity and sports participation have been declining, especially among the younger generation. To address this issue, we developed a series of… Read full abstract & cite →

Augmented reality computer vision action detection action classification machine learning

Abstract doi.org/10.14569/IJACSA.2023.0140428 PDF

29

Opposition Learning Based Improved Bee Colony Optimization (OLIBCO) Algorithm for Data Clustering

Author 1: Srikanta Kumar Sahoo Author 2: Priyabrata Pattanaik Author 3: Mihir Narayan Mohanty Author 4: Dilip Kumar Mishra

Clustering of data in case of data mining has a major role in recent research as well as data engineers. It supports for classification and regression type of problems. It needs to obtain the optimized clusters for such application. The partitional clustering and meta-heuristic search techniques are two helpful tools… Read full abstract & cite →

Bee colony optimization BCO based clustering data clustering partitional clustering meta-heuristic search

Abstract doi.org/10.14569/IJACSA.2023.0140429 PDF

30

Fuzzy Rank-Based Ensemble Model for Accurate Diagnosis of Osteoporosis in Knee Radiographs

Author 1: Saumya Kumar Author 2: Puneet Goswami Author 3: Shivani Batra

The main factor in fractures among seniors and women post-menopausal is osteoporosis, which decreases the density of bones. Finding a low-cost diagnostic technology to identify osteoporosis in its initial stages is imperative considering the substantial expenses of diagnosis and therapy. The simplest and most widely used imaging method for detecting… Read full abstract & cite →

Convolutional Neural Network diagnosis knee osteoporosis transfer learning models X-rays

Abstract doi.org/10.14569/IJACSA.2023.0140430 PDF

31

A Novel Deep CNN-RNN Approach for Real-time Impulsive Sound Detection to Detect Dangerous Events

Author 1: Nurzhigit Smailov Author 2: Zhandos Dosbayev Author 3: Nurzhan Omarov Author 4: Bibigul Sadykova Author 5: Maigul Zhekambayeva Author 6: Dusmat Zhamangarin Author 7: Assem Ayapbergenova

In this research paper, we presented a novel approach to detect impulsive sounds in real-time using a combination of Deep CNN and RNN architectures. The proposed approach was evaluated using our collected dataset of impulsive sounds, and the results showed that it outperformed traditional audio signal processing methods in terms… Read full abstract & cite →

CNN RNN deep learning impulsive sound dangerous sound artificial intelligence

Abstract doi.org/10.14569/IJACSA.2023.0140431 PDF

32

Reversible De-identification of Specific Regions in Biomedical Images and Secured Storage by Randomized Joint Encryption

Author 1: Prabhavathi K Author 2: Anandaraju M. B

In many circumstances, de-identification of a specific region of a biomedical image is necessary. De-identification is used to hide the subject’s identity or to prevent the display of the objectionable or offensive region(s) of the image. The concerned region can be blurred (de-identified) by using a suitable image processing technique… Read full abstract & cite →

Region identification mask modular matrix inverse selective image encryption image de-identification randomized joint encryption image authentication

Abstract doi.org/10.14569/IJACSA.2023.0140432 PDF

33

Texture Analytics for Accurate Person Recognition: A Multimodal Approach

Author 1: Suchetha N V Author 2: Sharmila Kumari M

Securing the resources is a most challenging task in the digital era. Traditionally, password and ID card systems were used to provide security. Password and ID cards can be stolen or hacked; to overcome this drawback biometric systems are used to authenticate the user to access the data or resources… Read full abstract & cite →

Unimodal Multi-modal LBP LTP intra-class inter-class spoofing attack

Abstract doi.org/10.14569/IJACSA.2023.0140433 PDF

34

Deep Learning Models for Crime Intention Detection Using Object Detection

Author 1: Abdirahman Osman Hashi Author 2: Abdullahi Ahmed Abdirahman Author 3: Mohamed Abdirahman Elmi Author 4: Octavio Ernest Romo Rodriguez

The majority of visual based surveillance applications and security systems heavily rely on object detection, which serves as a critical module. In the context of crime scene analysis, images and videos play an essential role in capturing visual documentation of a particular scene. By detecting objects associated with a specific… Read full abstract & cite →

Object detection deep learning crime scenes video surveillance convolutional neural network YOLOv6

Abstract doi.org/10.14569/IJACSA.2023.0140434 PDF

35

Hand Gesture Recognition Based on Various Deep Learning YOLO Models

Author 1: Soukaina Chraa Mesbahi Author 2: Mohamed Adnane Mahraz Author 3: Jamal Riffi Author 4: Hamid Tairi

Some varieties of sign languages are used by deaf or hard-of-hearing people worldwide to interact with others more effectively, consequently sign language's automatic translation is expressive and important. Significant improvements in computer vision have been made recently, notably in tasks based on object detection using deep learning. By locating things… Read full abstract & cite →

Neural network deep learning YOLO object detection hand gesture

Abstract doi.org/10.14569/IJACSA.2023.0140435 PDF

36

Optimized Image Authentication Algorithm using Redundant Wavelet Transform Based Sift Descriptors and Complex Zernike Moments

Author 1: Pooja Vijayakumaran Kallath Author 2: Kondaka Lakshmisudha

Due to the advanced multimedia editing tools and supported by sophisticated hardware, creating image/video manipulations for malicious purposes is increasing which is almost impossible to detect manually. Moreover, to conceal the traces, different post-processing operations are performed. Therefore, authenticity is a growing concern and important for identifying original and forged… Read full abstract & cite →

Forgery detection scale invariant feature transform key point operation block matching agglomerative hierarchical clustering

Abstract doi.org/10.14569/IJACSA.2023.0140436 PDF

37

Anchor-free Proposal Generation Network for Efficient Object Detection

Author 1: Hoanh Nguyen

Deep learning object detection methods are usually based on anchor-free or anchor-based scheme for extracting object proposals and one-stage or two-stage structure for producing final predictions. As each scheme or structure has its own strength and weakness, combining their strength in a unified framework is an interesting research topic. However… Read full abstract & cite →

Object detection deep learning convolutional neural network proposal generation network

Abstract doi.org/10.14569/IJACSA.2023.0140437 PDF

38

Detecting Fraud Transaction using Ripper Algorithm Combines with Ensemble Learning Model

Author 1: Vo Hoang Khang Author 2: Cao Tung Anh Author 3: Nguyen Dinh Thuan

In the context of the 4.0 technology revolution, which develops and applies strongly in many fields, in which the banking sector is considered to be the leading one, the application of algorithms to detect fraud is extremely important. necessary. In recent years, credit card transactions including physical credit card payments… Read full abstract & cite →

Financial fraud data mining credit card fraud transaction ensemble methods

Abstract doi.org/10.14569/IJACSA.2023.0140438 PDF

39

A Single-valued Pentagonal Neutrosophic Geometric Programming Approach to Optimize Decision Maker’s Satisfaction Level

Author 1: Satyabrata Nath Author 2: Purnendu Das Author 3: Pradip Debnath

Achieving the desired level of satisfaction for a decision-maker in any decision-making scenario is considered a challenging endeavor because minor modifications in the process might lead to incorrect findings and inaccurate decisions. In order to maximize the decision-maker’s satisfaction, this paper proposes a Single-valued Neutrosophic Geometric Programming model based on… Read full abstract & cite →

Decision making pentagonal neutrosophic numbers single-valued neutrosophic geometric programming multi-parametric programming

Abstract doi.org/10.14569/IJACSA.2023.0140439 PDF

40

Multifaceted Sentiment Detection System (MSDS) to Avoid Dropout in Virtual Learning Environment using Multi-class Classifiers

Author 1: Ananthi Claral Mary. T Author 2: Arul Leena Rose. P. J

Sentiment analysis with machine learning plays a vital role in Higher Educational Institutions (HEI) for decision making. Technology-enabled interactions can only be successful when a strong student-teacher link is established, and the emotions of students are clearly comprehended. The paper aims at proposing Multifaceted Sentiment Detection System (MSDS) for detecting… Read full abstract & cite →

Sentiment analysis opinions TF-IDF n-gram virtual learning machine learning NLTK text pre-processing

Abstract doi.org/10.14569/IJACSA.2023.0140440 PDF

41

Implementation of CNN for Plant Identification using UAV Imagery

Author 1: Mohd Anul Haq Author 2: Ahsan Ahmed Author 3: Jayadev Gyani

Plants are the world's most significant resource since they are the only natural source of oxygen. Additionally, plants are considered crucial since they are the major source of energy for humanity and have nutritional, therapeutic, and other benefits. Image identification has become more prominent in this technology-driven world, where many… Read full abstract & cite →

Convolutional Neural Networks (CNN) Machine Learning (ML) algorithms plant image identification plant image dataset

Abstract doi.org/10.14569/IJACSA.2023.0140441 PDF

42

An IoT-based Framework for Detecting Heart Conditions using Machine Learning

Author 1: Mona Alnaggar Author 2: Mohamed Handosa Author 3: T. Medhat Author 4: M. Z. Rashad

A lot of diseases may be preventable if they can be analyzed or predicted from patient historical and family data. Predicting diagnosis depends on the gathered clinical and physiological data of patients. The more collected clinical and medical healthcare data, the more knowledge the medical support system may support. Hence… Read full abstract & cite →

Medical healthcare medical support system real monitoring Internet of Things (IoT) ECG signals Gridsearch hyperparameter optimization

Abstract doi.org/10.14569/IJACSA.2023.0140442 PDF

43

Solar Energy Forecasting Based on Complex Valued Auto-encoder and Recurrent Neural Network

Author 1: Aymen Rhouma Author 2: Yahia Said

Renewable energy is becoming a trusted power source. Energy forecasting is an important research field, which is used to provide information about the future power generation of renewable energy plants. Energy forecasting helps to safely manage the power grid by minimizing the operational cost of energy production. Recent advances in… Read full abstract & cite →

Solar energy forecasting artificial intelligence complex-valued autoencoder long-short term memory deep learning

Abstract doi.org/10.14569/IJACSA.2023.0140443 PDF

44

Classification with K-Nearest Neighbors Algorithm: Comparative Analysis between the Manual and Automatic Methods for K-Selection

Author 1: Tsvetelina Mladenova Author 2: Irena Valova

Machine learning and the algorithms it uses have been the subject of many and varied studies with the development of artificial intelligence in recent years. One of the popular and widely used classification algorithms is the nearest neighbors’ algorithm and in particular k nearest neighbors. This algorithm has three important… Read full abstract & cite →

Machine Learning KNN classification

Abstract doi.org/10.14569/IJACSA.2023.0140444 PDF

45

The Impact of Design-level Class Decomposition on the Software Maintainability

Author 1: Bayu Priyambadha Author 2: Tetsuro Katayama

The quality of the software's internal structure tends to decay due to the adaptation to environmental changes. Therefore, it is beneficial to maintain the internal structure of the software to benefit future phases of the software life cycle. A common correlation exists between decaying internal structures and problems like software… Read full abstract & cite →

Design level refactoring class decomposition class diagram decomposition software quality software internal quality software maintainability

Abstract doi.org/10.14569/IJACSA.2023.0140445 PDF

46

Listening to the Voice of People with Vision Impairment

Author 1: Abeer Malkawi Author 2: Azrina Kamaruddin Author 3: Alfian Abdul Halin Author 4: Novia Admodisastro

Extensive research developed assistive technologies (ATs) to improve mobility for people with vision impairment (PVI). However, a limited number of PVI rely on ATs for mobility. One of the factors contributing to the limited reliability and low acceptance of ATs is the developers’ failure to consider PVI mobility traits from… Read full abstract & cite →

People with vision impairment assistive technology outdoor mobility behaviors challenges requirements

Abstract doi.org/10.14569/IJACSA.2023.0140446 PDF

47

A Deep Learning based Approach for Recognition of Arabic Sign Language Letters

Author 1: Boutaina Hdioud Author 2: Mohammed El Haj Tirari

No one can deny that the deaf-mute community has communication problems in daily life. Advances in artificial intelligence over the past few years have broken through this communication barrier. The principal objective of this work is creating an Arabic Sign Language Recognition system (ArSLR) for recognizing Arabic letters. The ArSLR… Read full abstract & cite →

Deep learning hand landmark model convolutional neural network Arabic sign language recognition

Abstract doi.org/10.14569/IJACSA.2023.0140447 PDF

48

Improving QoS in Internet of Vehicles Integrating Swarm Intelligence Guided Topology Adaptive Routing and Service Differentiated Flow Control

Author 1: Tanuja Kayarga Author 2: Ananda Kumar S

Internet of Vehicles (IoV) is an evolution of vehicular adhoc network with concepts of internet of things (IOT). Each vehicle in IOV is an intelligent object with various capabilities like sensors, computation, storage, control etc. Vehicles can connect to any other entity in the network using various services like DSRC… Read full abstract & cite →

Particle swarm optimization (PSO) QoS bio inspired technique

Abstract doi.org/10.14569/IJACSA.2023.0140448 PDF

49

A Comparative Performance Evaluation of Routing Protocols for Mobile Ad-hoc Networks

Author 1: Baidaa Hamza Khudayer Author 2: Lial Raja Alzabin Author 3: Mohammed Anbar Author 4: Ragad M Tawafak Author 5: Tat-Chee Wan Author 6: Abir AlSideiri Author 7: Sohail Iqbal Malik Author 8: Taief Alaa Al-Amiedy

Mobile Ad Hoc Network (MANET) is a group of wireless mobile nodes that can connect with each other over a number of hops without the need for centralized management or pre-existing infrastructure. MANET has been used in several commercial areas such as intelligent shipping systems, ad hoc gaming, and clever… Read full abstract & cite →

MANET routing protocols proactive protocols reactive protocols hybrid protocols Ad Hoc Networks

Abstract doi.org/10.14569/IJACSA.2023.0140449 PDF

50

Deep Learning for Combined Water Quality Testing and Crop Recommendation

Author 1: Tahani Alkhudaydi Author 2: Maram Qasem Albalawi Author 3: Jamelah Sanad Alanazi Author 4: Wejdan Al-Anazi Author 5: Rahaf Mansour Alfarshouti

The field of agriculture and its specifics has been gaining more attention nowadays due to the limited present resources and the continuously increasing need for food. In fact, agriculture has benefited greatly from the advancements of artificial intelligence, namely, Machine Learning (ML). In order to make the most of a… Read full abstract & cite →

Deep learning irrigation artificial intelligence soil moisture

Abstract doi.org/10.14569/IJACSA.2023.0140450 PDF

51

Context Aware Automatic Subjective and Objective Question Generation using Fast Text to Text Transfer Learning

Author 1: Arpit Agrawal Author 2: Pragya Shukla

Online learning has gained a tremendous popularity in the last decade due to the facility to learn anytime, anything, anywhere from the ocean of web resources available. Especially the lockdown all over the world due to the Covid-19 pandemic has brought an enormous attention towards the online learning for value… Read full abstract & cite →

Automatic question generation Text-to-Text-transfer-transformer (T5) natural language processing word sense disambiguation (WSD) domain adaptation multipartite graphs beam-search decoding

Abstract doi.org/10.14569/IJACSA.2023.0140451 PDF

52

Multistage End-to-End Driver Drowsiness Alerting System

Author 1: Sowmyashree P Author 2: Sangeetha J

Drowsiness in drivers is the major cause for these fatal road accidents. Hence detecting drowsiness in drivers and alerting them on time is very important to avoid accidents. Researchers have developed several techniques to detect drowsiness in driver and warn the driver. However, in the past there is no work… Read full abstract & cite →

Driver drowsiness detection internet of things voice alert seat-vibration alert physical alert driver rating haar cascade classifier eye aspect ratio

Abstract doi.org/10.14569/IJACSA.2023.0140452 PDF

53

Insights on Data Security Schemes and Authentication Adopted in Safeguarding Social Network

Author 1: Nithya S Author 2: Rekha B

With the increased social network usage, there is a rising concern about potential security and privacy risks related to digital information data. Although there have been numerous studies in this area, a summary is necessary to understand the effectiveness of existing security approaches. The ultimate goal is to provide valuable… Read full abstract & cite →

Social network security threat authentication blockchain

Abstract doi.org/10.14569/IJACSA.2023.0140453 PDF

54

A Novel Framework for Semi-supervised Multiple-label Image Classification using Multi-stage CNN and Visual Attention Mechanism

Author 1: Joseph James S Author 2: Lakshmi C

To train deep neural networks effectively, a lot of labeled data is typically needed. However, real-time applications make it difficult and expensive to acquire high-quality labels for the data because it takes skill and knowledge to accurately annotate multiple label images. In order to enhance classification performance, it is also… Read full abstract & cite →

Semi-supervised visual attention multi-label image classification label propagation

Abstract doi.org/10.14569/IJACSA.2023.0140454 PDF

55

Comparison of Predictive Machine Learning Models to Predict the Level of Adaptability of Students in Online Education

Author 1: Orlando Iparraguirre-Villanueva Author 2: Carmen Torres-Ceclén Author 3: Andrés Epifanía-Huerta Author 4: Gloria Castro-Leon Author 5: Melquiades Melgarejo-Graciano Author 6: Joselyn Zapata-Paulini Author 7: Michael Cabanillas-Carbonell

With the onset of the COVID-19 pandemic, online education has become one of the most important options available to students around the world. Although online education has been widely accepted in recent years, the sudden shift from face-to-face education has resulted in several obstacles for students. This paper, aims to… Read full abstract & cite →

Machine learning adaptability students online education prediction models

Abstract doi.org/10.14569/IJACSA.2023.0140455 PDF

56

Analyzing WhisperGate and BlackCat Malware: Methodology and Threat Perspective

Author 1: Mathew Nicho Author 2: Rajesh Yadav Author 3: Digvijay Singh

The increasing use of powerful evasive ransomware malware in cyber warfare and targeted attacks is a persistent and growing challenge for nations, corporations, and small and medium-sized enterprises. This threat is evidenced by the emergence of the WhisperGate malware in cyber warfare, which targets organizations in Ukraine to render targeted… Read full abstract & cite →

Malware analysis WhisperGate BlackCat malware sample ransomware

Abstract doi.org/10.14569/IJACSA.2023.0140456 PDF

57

A Cloud Native Framework for Real-time Pricing in e-Commerce

Author 1: Archana Kumari Author 2: Mohan Kumar. S

Real-time pricing is a form of 'dynamic pricing,' and it enables online sellers to adjust prices in real-time in response to variations in demand and competition to achieve higher revenue or improve customer satisfaction. As modern e-commerce implementations become more cloud-based, this paper proposes a cloud-native framework for a real-time… Read full abstract & cite →

Real-time pricing cloud-native design system-design pricing-framework Amazon web services

Abstract doi.org/10.14569/IJACSA.2023.0140457 PDF

58

A Deep Learning Approach for Sentiment Classification of COVID-19 Vaccination Tweets

Author 1: Haidi Said Author 2: BenBella S. Tawfik Author 3: Mohamed A. Makhlouf

Now-a-days, social media platforms enable people to continuously express their opinions and thoughts about different topics. Monitoring and analyzing the sentiments of people is essential for governments and business organizations to better understand people’s feelings and thoughts. The Coronavirus disease 2019 (COVID-19) has been one of the most trending topics… Read full abstract & cite →

COVID-19 vaccination sentiment analysis Twitter machine learning deep learning natural language processing (NLP)

Abstract doi.org/10.14569/IJACSA.2023.0140458 PDF

59

Validate the Users’ Comfortable Level in the Virtual Reality Walkthrough Environment for Minimizing Motion Sickness

Author 1: Muhammad Danish Affan Anua Author 2: Ismahafezi Ismail Author 3: Nur Saadah Mohd Shapri Author 4: Wan Mohd Amir Fazamin Wan Hamzah Author 5: Maizan Mat Amin Author 6: Fazida Karim

Motion sickness is a common scenario for users when they are exposed to a virtual reality (VR) environment. It is due to the conflict that occurs in the brain that tells the user that they are moving in the environment, but the fact is that the user’s body is sitting… Read full abstract & cite →

Virtual reality motion sickness head-mounted display head lean movement mobile VR walkthrough technique UTAUT frame rate

Abstract doi.org/10.14569/IJACSA.2023.0140459 PDF

60

Fusion Privacy Protection of Graph Neural Network Points of Interest Recommendation

Author 1: Yong Gan Author 2: ZhenYu Hu

For the rapidly developing location-based web recommendation services, traditional point-of-interest(POI) recommendation methods not only fail to utilize user information efficiently, but also face the problem of privacy leakage. Therefore, this paper proposes a privacy-preserving interest point recommendation system that fuses location and user interaction information. The geolocation-based recommendation system uses… Read full abstract & cite →

Recommendation algorithms location protection graph convolutional neural networks k-anonymity

Abstract doi.org/10.14569/IJACSA.2023.0140460 PDF

61

RETRACTED: Identity Authentication Protocol of Smart Home IoT based on Chebyshev Chaotic Mapping

Author 1: Jingjing Sun Author 2: Peng Zhang Author 3: Xiaohong Kong

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 →

Chebyshev chaotic map internet of things identity authentication LAoCCM protocol key agreement EDHOC protocol

Abstract doi.org/10.14569/IJACSA.2023.0140461 PDF

62

Hybrid Optimization with Recurrent Neural Network-based Medical Image Processing for Predicting Interstitial Lung Disease

Author 1: K. Sundaramoorthy Author 2: R. Anitha Author 3: S. Kayalvili Author 4: Ayat Fawzy Ahmed Ghazala Author 5: Yousef A.Baker El-Ebiary Author 6: Sameh Al-Ashmawy

One of the dreadful diseases that shortens people's lives is lung disease. There are numerous potentially fatal consequences that can arise from interstitial lung disease, such as: Lung hypertension. This illness doesn't influence your overall blood pressure; instead, it only affects the arteries in your lungs. To prevent mortality, it… Read full abstract & cite →

Interstitial lung disease spider monkey lion optimization recurrent neural network medical image processing diagnosis and identification classification

Abstract doi.org/10.14569/IJACSA.2023.0140462 PDF

63

Study on Tomato Disease Classification based on Leaf Image Recognition based on Deep Learning Technology

Author 1: Ji Zheng Author 2: Minjie Du

The utilization of computer vision technology is of the utmost significance in the examination of plant diseases. Research utilizing image processing to investigate plant diseases necessitates the analysis of discernible patterns on plants. Recently, numerous image processing and pattern classification techniques have been employed in the construction of a digital… Read full abstract & cite →

Deep learning convolutional neural network image recognition plant diseases

Abstract doi.org/10.14569/IJACSA.2023.0140463 PDF

64

Research on Recommendation Model of College English MOOC based on Hybrid Recommendation Algorithm

Author 1: Yifang Ding Author 2: Jingbo Hao

Establishing a reasonable and efficient compulsory education balance index system is very important to boost the all-around of compulsory education development, and then realize the course recommendation for students with different attributes. Based on this, the research aimed at the problems in college English education and evaluation, aimed to establish… Read full abstract & cite →

Genetic algorithm education quality assessment BP neural network college English MOOC

Abstract doi.org/10.14569/IJACSA.2023.0140464 PDF

65

Employee Information Security Awareness in the Power Generation Sector of PT ABC

Author 1: Ridwan Fadlika Author 2: Yova Ruldeviyani Author 3: Zenfrison Tuah Butarbutar Author 4: Relaci Aprilia Istiqomah Author 5: Achmad Arzal Fariz

Presidential Regulation No. 82 of 2022 demonstrates the Indonesian government's dedication to protecting Vital Information Infrastructure, which has become increasingly susceptible to cyber attacks. Intrusion detections at PT ABC reached 79,575 in 2021, and malware, botnets, targeted attacks, malicious websites/domains, and ransomware attacks may cause considerable financial losses. The implication… Read full abstract & cite →

Security awareness data information ISO/IEC 27001:2013

Abstract doi.org/10.14569/IJACSA.2023.0140465 PDF

66

ECAH: A New Energy-Aware Coverage Method for Wireless Sensor Networks using Artificial Bee Colony and Harmony Search

Author 1: ZHOU Bing Author 2: ZHANG Zhigang

Wireless Sensor Networks (WSNs) offer diverse applications in the research and commercial fields, such as military applications, medical science, waste management, home automation, habitat monitoring, and environmental observation. WSNs are generally composed of a large number of low-cost, low-power, and multifunctional sensor nodes that sense, process, and communicate data. These… Read full abstract & cite →

Artificial bee colony coverage deployment harmony search wireless sensor network

Abstract doi.org/10.14569/IJACSA.2023.0140466 PDF

67

Patient Health Monitoring System Development using ESP8266 and Arduino with IoT Platform

Author 1: Jamil Abedalrahim Jamil Alsayaydeh Author 2: Mohd Faizal bin Yusof Author 3: Muhammad Zulhakim Bin Abdul Halim Author 4: Muhammad Noorazlan Shah Zainudin Author 5: Safarudin Gazali Herawan

The Internet of Things (IoT) has emerged as a transformative technology that has revolutionized the field of healthcare. One of the most promising applications of Internet of Things (IoT) in healthcare is patient health monitoring, which allows healthcare providers to remotely monitor patients' health and provide prompt medical attention when… Read full abstract & cite →

Patient health monitoring Internet of Things (IoT) Arduino UNO Nodemcu ESP8266 thingspeak wearable device temperature value heartbeat value remotely

Abstract doi.org/10.14569/IJACSA.2023.0140467 PDF

68

Integrated Methodology for Information Security Risk Management using ISO 27005:2018 and NIST SP 800-30 for Insurance Sector

Author 1: Arief Prabawa Putra Author 2: Benfano Soewito

The development of Information and Communication Technology (ICT) in the Industrial Revolution 4.0 era shows very fast and disruptive developments that encourage increased use of Information Technology (IT) services within organizations. However, there is a risk of creating vulnerabilities and threats to owned information systems. Plans and strategies are required… Read full abstract & cite →

Risk management information security ISO/IEC 27005 NIST SP 800-30 ISO/IEC 27002

Abstract doi.org/10.14569/IJACSA.2023.0140468 PDF

69

An Effectivity Deep Learning Optimization Model to Traditional Batak Culture Ulos Classification

Author 1: Rizki Muliono Author 2: Mayang Septania Iranita Author 3: Rahmad BY Syah

Ulos is one of the Batak culture's traditional heritage fabrics. Ulos cloth is divided into several types, each with a distinct function. Ulos Ragi Hotang, Ulos Pinunsaan, Ulos Tumtuman, Ulos Ragi Hidup, and Ulos Sadum are the five Batak ulos motifs. The Batak ulos motif has evolved over time and… Read full abstract & cite →

Ulos classification convolutional neural network modular neural network deep learning

Abstract doi.org/10.14569/IJACSA.2023.0140469 PDF

70

Enhancing Customer Relationship Management Using Fuzzy Association Rules and the Evolutionary Genetic Algorithm

Author 1: Ahmed Abu-Al Dahab Author 2: Riham M Haggag Author 3: Samir Abu-Al Fotouh

The importance of Customer Relationship Management (CRM) has never been higher. Thus, companies are forced to adopt new strategies to focus on customers, given the competitive climate in which they operate. Also, companies have been able to maintain customer data within large databases that contain all information related to customers… Read full abstract & cite →

Customer relationship management (CRM) fuzzy association rule mining multilevel association rule quantitative data mining

Abstract doi.org/10.14569/IJACSA.2023.0140470 PDF

71

Leader-follower Optimal Control Method for Vehicle Platoons to Improve Fuel Efficiency

Author 1: Zhigang Li Author 2: Yushi Guo Author 3: Hua Wang Author 4: Jianyong Li Author 5: Yuye Xie Author 6: Jingyu Liu

The automotive industry has experienced swift development with the rapid growth of the economy. The increasing number of vehicles has led to deteriorating road traffic conditions, increased consumption of nonrenewable energy, and excessive vehicle emissions. To tackle the problems of fuel efficiency and safety control for vehicle platoons, this study… Read full abstract & cite →

Vehicle platoon speed optimization control leader vehicles follower vehicles distributed re-ceding horizon control method vehicle platoon fuel consumption control

Abstract doi.org/10.14569/IJACSA.2023.0140471 PDF

72

A Review of the Recent Progress on Crowd Anomaly Detection

Author 1: Sarah Altowairqi Author 2: Suhuai Luo Author 3: Peter Greer

Surveillance videos are crucial in imparting public security, reducing or avoiding the accidents that occur from anomalies. Crowd anomaly detection is a rapidly growing research field that aims to identify abnormal or suspicious behavior in crowds. This paper provides a comprehensive review of the state-of-the-art in crowd anomaly detection and… Read full abstract & cite →

Crowd anomaly detection advanced computer science intelligent systems video surveillance application machine learning

Abstract doi.org/10.14569/IJACSA.2023.0140472 PDF

73

Improving Brain Tumor Segmentation in MRI Images through Enhanced Convolutional Neural Networks

Author 1: Kabirat Sulaiman Ayomide Author 2: Teh Noranis Mohd Aris Author 3: Maslina Zolkepli

Achieving precise tumor segmentation is essential for accurate diagnosis. Since brain tumors segmentation require a significant training process, reducing the training time is critical for timely treatment. The research focuses on enhancing brain tumor segmentation in MRI images by using Convolutional Neural Networks and reducing training time by using MATLAB's… Read full abstract & cite →

MRI brain tumor anisotropic segmentation SVM classifier convolutional neural network

Abstract doi.org/10.14569/IJACSA.2023.0140473 PDF

74

Rain Streaks Removal in Images using Extended Generative Adversarial-based Deraining Framework

Author 1: Subbarao Gogulamudi Author 2: V. Mahalakshmi Author 3: Indraneel Sreeram

The visual quality of photographs and videos can be negatively impacted by various weather conditions, such as snow, haze, or rain, affecting the quality of the images and videos. Such impacts may greatly affect outdoor vision systems that rely on image/video data. It has recently drawn a lot of interest… Read full abstract & cite →

Deep learning rain streaks removal image generation quality measure capsule network adversarial learning

Abstract doi.org/10.14569/IJACSA.2023.0140474 PDF

75

A PSL-based Approach to Human Activity Recognition in Smart Home Environments

Author 1: Yan Li

Human activity recognition is widely used in smart cities, public safety and other fields, especially in smart home systems where it has a pivotal role. The study addresses the shortcomings of Markov logic networks for human activity recognition and proposes a human activity recognition method in smart home scenarios … Read full abstract & cite →

Human activity recognition probabilistic soft logic MAP inference temporal complexity data uncertainty

Abstract doi.org/10.14569/IJACSA.2023.0140475 PDF

76

Design of Virtual Experiment Teaching of Inorganic Chemistry in Colleges and Universities Based on Unity3D

Author 1: Xia Hu

Focusing on the high-cost issues and many risk and uncontrollable factors in chemical experiment teaching in modern colleges and universities, a virtual reality inorganic chemistry (IC) simulation experiment strategy based on Unity3D technology is studied. Starting from the needs of IC experiment teaching, a collision detection algorithm (CDA) between the… Read full abstract & cite →

Unity3D inorganic chemistry virtual reality collision detection algorithm

Abstract doi.org/10.14569/IJACSA.2023.0140476 PDF

77

The Effective 3D MRI Reconstruction Method Driven by the Fusion Strategy in NSST Domain

Author 1: Jin Huang Author 2: Lei Wang Author 3: Muhammad Tahir Author 4: Tianqi Cheng Author 5: Xinping Guo Author 6: Yuwei Wang Author 7: ChunXiang Liu

The 3D reconstruction of medical images plays an important role in modern clinical diagnosis. Although the analytic-based, the iterative-based and the deep learning-based methods have been popularly used, there are still many problems to deal with. The analysis-based methods are not accurate enough, the iteration-based methods are computationally intensive, and… Read full abstract & cite →

Multiple magnetic resonance imaging 3D reconstruction non-subsampled shearlet transform the algebraic reconstruction

Abstract doi.org/10.14569/IJACSA.2023.0140477 PDF

78

Integrating Dropout Regularization Technique at Different Layers to Improve the Performance of Neural Networks

Author 1: B. H. Pansambal Author 2: A. B. Nandgaokar

In many facial expression recognition models it is necessary to prevent overfitting to check no units (neurons) depend on each other. Therefore, dropout regularization can be applied to ignore few nodes randomly while processing the remaining neurons. Hence, dropout helps dealing with overfitting and predicts the desired results with more… Read full abstract & cite →

Convolutional layer visible layer hidden layer dropout regularization long short term memory (LSTM) deep learning facial expression recognition

Abstract doi.org/10.14569/IJACSA.2023.0140478 PDF

79

Comparison Review on Brain Tumor Classification and Segmentation using Convolutional Neural Network (CNN) and Capsule Network

Author 1: Nurul Fatihah Binti Ali Author 2: Siti Salasiah Mokri Author 3: Syahirah Abd Halim Author 4: Noraishikin Zulkarnain Author 5: Ashrani Aizuddin Abd Rahni Author 6: Seri Mastura Mustaza

Malignant brain glioma is considered as one of the deadliest cancer diseases that has a higher fatality rate than the survival rate. In terms of brain glioma imaging and diagnosis, the processes of detection and segmentation are manually done by the experts. However, with the advancement of artificial intelligence, the… Read full abstract & cite →

Deep learning convolution neural network (CNN) capsule network segmentation classification brain glioma

Abstract doi.org/10.14569/IJACSA.2023.0140479 PDF

80

Fuzzy Reasoning based Reliability Fault Prediction of CNC Machine Tools

Author 1: Jie Yu Author 2: Tiebin Wang Author 3: Weidong Wang Author 4: Gege Zhao Author 5: Yue Yao

CNC machine tools are the infrastructure of the manufacturing industry, and many fields cannot do without them. This paper studies the fault data of a series of CNC machine tools, and predicts the fault level based on the activity parameters of Gutenberg Richter curve and fuzzy information theory. Apply the… Read full abstract & cite →

CNC machine tools reliability fuzzy inference fault prediction

Abstract doi.org/10.14569/IJACSA.2023.0140480 PDF

81

Using Machine Learning Algorithm as a Method for Improving Stroke Prediction

Author 1: Nojood Alageel Author 2: Rahaf Alharbi Author 3: Rehab Alharbi Author 4: Maryam Alsayil Author 5: Lubna A. Alharbi

Having sudden strokes has had a very negative impact on all aspects in society to the point that it attracted efforts for better improvement and management of stroke diagnosis. Technological advancement also had an impact on the medical field such that nowadays caregivers have better options for taking care of… Read full abstract & cite →

Stroke prediction machine learning PCA decision tree KNN majority voting Naïve Bayes

Abstract doi.org/10.14569/IJACSA.2023.0140481 PDF

82

Deep Learning Localization Algorithm Integrating Attention Mechanism in Database Information Query

Author 1: Yang Li Author 2: Xianghui Hui Author 3: Xiaolei Wang Author 4: Fei Yin

This study aims to solve the problems of traditional indoor car search positioning technology in terms of positioning accuracy and functionality. Based on database technology and deep learning technology, an LSTM model with attention mechanism was established. This model can simultaneously extract temporal and spatial features, and use attention mechanism… Read full abstract & cite →

LSTM attention mechanism positioning database

Abstract doi.org/10.14569/IJACSA.2023.0140482 PDF

83

Develop an Olive-based Grading Algorithm using Image Processing

Author 1: Dongliang Jin

Olives come in a number of external and internal varieties. The Shengeh kind, which is available in three colours—green, brown, and black—was chosen at random by the researchers to ensure that the sample was diverse. To avoid discoloration throughout the experiment, 150 healthy olives were harvested and stored correctly. These… Read full abstract & cite →

Image processing grading color olive MATLAB HSV

Abstract doi.org/10.14569/IJACSA.2023.0140483 PDF

84

Intelligent Abnormal Residents’ Behavior Detection in Smart Homes for Risk Management using Fuzzy Logic Algorithm

Author 1: Bo Feng Author 2: Lili Miao Author 3: HuiXiang Liu

In recent years, the population of sick and elderly people who are alone and need care has increased. This issue increases the need to have a smart home to be aware of the patient's condition. Identifying the patient's activity using sensors embedded in the environment is the first step to… Read full abstract & cite →

Smart home abnormal detection behavior analysis activity recognition elderly people fuzzy logic

Abstract doi.org/10.14569/IJACSA.2023.0140484 PDF

85

BREPubSub: A Secure Publish-Subscribe Model using Blockchain and Re-encryption for IoT Data Sharing Management

Author 1: Hoang-Anh Pham

As a result of the incredible growth and diversity of IoT systems and applications over the past several years, an enor-mous amount of sensing data has been generated, which is critical for developing IoT-based intelligent systems. So far, it has taken a significant amount of time and money to collect… Read full abstract & cite →

Publish-subscribe blockchain re-encryption IoT data sharing

Abstract doi.org/10.14569/IJACSA.2023.0140485 PDF

86

A Review of Trending Crowdsourcing Topics in Software Engineering Highlighting Mobile Crowdsourcing and AI Utilization

Author 1: Mohammed Alghasham Author 2: Mousa Alzakan Author 3: Mohammed Al-Hagery

Today’s modern technologies and requirements make the utilization of crowdsourcing more viable and applicable. It is one of the problem-solving models that can be used in various domains to reduce costs and time. It is also an excellent way to find new and different ideas and solutions. This paper studies… Read full abstract & cite →

Software engineering crowdsourcing mobile crowdsourcing software management software verification and validation

Abstract doi.org/10.14569/IJACSA.2023.0140486 PDF

87

Evaluation of Wood Species Identification Using CNN-Based Networks at Different Magnification Levels

Author 1: Khanh Nguyen-Trong

Wood species identification (WoodID) is a crucial task in many industries, including forestry, construction, and furniture manufacturing. However, this process currently requires highly trained individuals and is time-consuming. With the recent advances in machine learning and computer vision techniques, automatic WoodID using macro-images of cross-section wood has gained attention. Nevertheless… Read full abstract & cite →

Wood species identification convolutional neural network ResNet50 DensNet

Abstract doi.org/10.14569/IJACSA.2023.0140487 PDF

88

A Review of Milgram and Kishino’s Reality-Virtuality Continuum and a Mathematical Formalization for Combining Multiple Reality-Virtuality Continua

Author 1: Cristian Pamparau

We explore in this paper theoretical contributions that are related to Milgram and Kishino’s Reality Virtuality Continuum by conducting a systematic literature review. From this study, we draw inspiration for our proposed mathematical formalization of combining multiple Reality-Virtuality Continua in a single, mixed reality experience. Also, we provide a definition… Read full abstract & cite →

Systematic literature review reality-virtuality continuum mixed reality transitional interfaces mathematical for-malization XR transition protocol

Abstract doi.org/10.14569/IJACSA.2023.0140488 PDF

89

Evolutionary Design of a PSO-Tuned Multigene Symbolic Regression Genetic Programming Model for River Flow Forecasting

Author 1: Alaa Sheta Author 2: Amal Abdel-Raouf Author 3: Khalid M. Fraihat Author 4: Abdelkarim Baareh

The earth’s population is growing at a rapid rate, while the availability of water resources remains limited. Water is required for various purposes, including drinking, agriculture, industry, recreation, and development. Accurate forecasting of river flows can have a significant economic impact, particularly in agricultural water management and planning during water… Read full abstract & cite →

River flow forecasting genetic programming evolutionary computation particle swarm optimization

Abstract doi.org/10.14569/IJACSA.2023.0140489 PDF

90

Autonomous Motion Planning for a Differential Robot using Particle Swarm Optimization

Author 1: Fredy Martinez Author 2: Angelica Rendon

In the field of robotics, particularly within the realm of service applications, one of the fundamental challenges lies in devising autonomous motion planning strategies for real-world environments. Addressing this issue necessitates the management of numerous variables, with the primary goal of enabling the robot to circumnavigate obstacles, attain its target… Read full abstract & cite →

Autonomous motion planning differential robot ESP32 microcontroller particle swarm optimization PID controller real-world environment service robotics

Abstract doi.org/10.14569/IJACSA.2023.0140490 PDF

91

Software Effort Estimation using Machine Learning Technique

Author 1: Mizanur Rahman Author 2: Partha Protim Roy Author 3: Mohammad Ali Author 4: Teresa Gonc¸alves Author 5: Hasan Sarwar

Software engineering effort estimation plays a significant role in managing project cost, quality, and time and creating software. Researchers have been paying close attention to software estimation during the past few decades, and a great amount of work has been done utilizing a variety of machine-learning techniques and algorithms. In… Read full abstract & cite →

Software effort estimation K-nearest neighbor re-gression machine learning decision tree support vector regression

Abstract doi.org/10.14569/IJACSA.2023.0140491 PDF

92

An Approach to Hyperparameter Tuning in Transfer Learning for Driver Drowsiness Detection Based on Bayesian Optimization and Random Search

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

Driver drowsiness is a critical factor in road safety, and developing accurate models for detecting it is essential. Transfer learning has been shown to be an effective technique for driver drowsiness detection, as it enables models to leverage large, pre-existing datasets. However, the optimization of hyper-parameters in transfer learning models… Read full abstract & cite →

Hyperparameter tuning driver drowsiness detection transfer learning Bayesian optimization Random search

Abstract doi.org/10.14569/IJACSA.2023.0140492 PDF

93

Discovering COVID-19 Death Patterns from Deceased Patients: A Case Study in Saudi Arabia

Author 1: Abdulrahman Alomary Author 2: Tarik Alafif Author 3: Abdulmohsen Almalawi Author 4: Anas Hadi Author 5: Faris Alkhilaiwi Author 6: Yasser Alatawi

COVID-19 is a serious infection that cause severe injuries and deaths worldwide. The COVID-19 virus can infect people of all ages, especially the elderly. Furthermore, elderly who have co-morbid conditions (e.g., chronic conditions) are at an increased risk of death. At the present time, no approach exists that can facilitate… Read full abstract & cite →

COVID-19 association rules Apriori algorithm patterns death chronic diseases

Abstract doi.org/10.14569/IJACSA.2023.0140493 PDF

94

Highly Accurate Deep Learning Model for Olive Leaf Disease Classification: A Study in Tacna-Per´u

Author 1: Erbert F. Osco-Mamani Author 2: Israel N. Chaparro-Cruz

Deep learning applied to computer vision has different applications in agriculture, medicine, marketing, meteorology, etc. In agriculture, plant diseases can cause significant yield and quality losses. The treatment of these diseases depends on accurate and rapid classification. Olive leaf diseases are a problem that threatens the crop quality of olive… Read full abstract & cite →

Olive leaf diseases disease classification deep learning data augmentation transfer learning fine-tuning VGG16

Abstract doi.org/10.14569/IJACSA.2023.0140494 PDF

95

Enhanced MQTT Architecture for Smart Supply Chain

Author 1: Raouya AKNIN Author 2: Youssef Bentaleb

In industry 4.0, the use of smart supply chains has become necessary in order to overcome the shortcomings of traditional supply chains, such as overstocking, delivery delays, and stock out. However, the use of smart supply chains has introduced new security challenges because of the internet of things (IOT) constraint… Read full abstract & cite →

Smart supply chain internet of things MQTT protocol blockchain smart contracts Ethereum solidity one-time password

Abstract doi.org/10.14569/IJACSA.2023.0140495 PDF

96

Hybrid Machine Learning-Based Approach for Anomaly Detection using Apache Spark

Author 1: Hanane Chliah Author 2: Amal Battou Author 3: Maryem Ait el hadj Author 4: Adil Laoufi

Over the past few decades, the volume of data has increased significantly in both scientific institutions and universities, with a large number of students enrolled and a high volume of related data. Furthermore, network traffic has increased with post-pandemic and the use of online learning. Therefore, processing network traffic data… Read full abstract & cite →

Anomaly detection big data Apache Spark k-means KNN

Abstract doi.org/10.14569/IJACSA.2023.0140496 PDF

97

Egypt Monuments Dataset version 1: A Scalable Benchmark for Image Classification and Monument Recognition

Author 1: Mennat Allah Hassan Author 2: Alaa Hamdy Author 3: Mona Nasr

The success of machine learning (ML) as well as deep learning (DL) depends largely on data availability and quality. The system’s performance is frequently more affected by the amount and quality of its training data than by its architecture and training specifics. Consequently, demand exists for challenging datasets that both… Read full abstract & cite →

Deep learning landmark datasets landmark recognition monument datasets monument recognition

Abstract doi.org/10.14569/IJACSA.2023.0140497 PDF

98

Exploring the Joint Potential of Blockchain and AI for Securing Internet of Things

Author 1: Md. Tauseef Author 2: Manjunath R Kounte Author 3: Abdul Haq Nalband Author 4: Mohammed Riyaz Ahmed

The emergence of the Internet of Things (IoT) has revolutionized the way we interact with the physical world. The rapid growth of IoT devices has led to a pressing need for robust security measures. Two promising approaches that can enhance IoT security are blockchain and artificial intelligence (AI). Blockchain can… Read full abstract & cite →

IoT blockchain AI security attacks decentralization

Abstract doi.org/10.14569/IJACSA.2023.0140498 PDF

99

Opportunities and Challenges in Human-Swarm Interaction: Systematic Review and Research Implications

Author 1: Alexandru-Ionut Siean Author 2: Bogdanel-Constantin Gradinaru Author 3: Ovidiu-Ionut Gherman Author 4: Mirela Danubianu Author 5: Laurentiu-Dan Milici

We conducted a Systematic Literature Review on scientific papers that examined the interaction between operators and drone swarms based on the use of a command and control center. We present the results of a meta-analysis of nine scientific papers published in the ACM DL and IEEE Xplore databases. Our findings… Read full abstract & cite →

Human swarm interactions input modalities swarm control

Abstract doi.org/10.14569/IJACSA.2023.0140499 PDF

100

IM2P-Medical: Towards Individual Management Privacy Preferences for the Medical Web Apps

Author 1: Nguyen Ngoc Phien Author 2: Nguyen Thi Hoang Phuong Author 3: Khiem G. Huynh Author 4: Khanh H. Vo Author 5: Phuc T. Nguyen Author 6: Khoa D. Tran Author 7: Bao Q. Tran Author 8: Loc C. P. Van Author 9: Duy T. Q. Nguyen Author 10: Hieu M. Doan Author 11: Bang K. Le Author 12: Trong D. P. Nguyen Author 13: Ngan T. K. Nguyen Author 14: Huong H. Luong Author 15: Duong Hon Minh

With the advancement of technology, people are now able to monitor their health more efficiently. Mobile phones and smartwatches are equipped with sensors that can measure real-time changes in blood pressure, SPO2, and other attributes and public them to service providers via web applications (called web apps) for health improvement… Read full abstract & cite →

Letter-of-credit cash-on-delivery blockchain smart contract NFT ethereum fantom polygon binance smart chain

Abstract doi.org/10.14569/IJACSA.2023.01404100 PDF

101

Anomaly Discover: A New Community-based Approach for Detecting Anomalies in Social Networks

Author 1: Hedia Zardi Author 2: Hajar Alrajhi

In this paper, a new method called Anomaly Discover is provided for detecting anomalies in communities with mixed attributes (binary, numerical and categorical attributes). Our strategy tries to identify unusual users in Online Social Networks (OSN) communities and score them according to how far they deviate from typical users. Our… Read full abstract & cite →

Anomaly detection community anomaly anomaly ranking social networks relevant attributes

Abstract doi.org/10.14569/IJACSA.2023.01404101 PDF

102

A Particle Swarm Optimization with Imbalance Initialization and Task Rescheduling for Task Offloading in Device-Edge-Cloud Computing

Author 1: Hui Fu Author 2: Guangyuan Li Author 3: Fang Han Author 4: Bo Wang

Smart devices, e.g., smart-phones, internet-of-thing device, has been prevalent in our life. How to take full advantage of the limited resources to satisfy as many as requirements of users is still a challenge. Thus, in this paper, we focus on the task offloading problem to address the challenge by device-edge-cloud… Read full abstract & cite →

Cloud computing edge computing task offloading task scheduling particle swarm optimization

Abstract doi.org/10.14569/IJACSA.2023.01404102 PDF

103

Prediction of Air Quality and Pollution using Statistical Methods and Machine Learning Techniques

Author 1: V. Devasekhar Author 2: P. Natarajan

Air pollution is a major environmental issue and machine learning techniques play an important role in analyzing and forecasting these data sets. Air quality is an outcome of the complex interaction of several factors involving the chemical reactions, meteorological parameters, and emissions from natural and anthropogenic sources. In this paper… Read full abstract & cite →

Air quality forecasting machine learning statistical techniques

Abstract doi.org/10.14569/IJACSA.2023.01404103 PDF

104

Fraud Mitigation in Attendance Monitoring Systems using Dynamic QR Code, Geofencing and IMEI Technologies

Author 1: Augustine Nwabuwe Author 2: Baljinder Sanghera Author 3: Temitope Alade Author 4: Funminiyi Olajide

Attendance monitoring is a vital activity in several organizations. Due to its importance, many attendance monitoring systems have been developed to automate this process. Despite several advancements in automated attendance management solutions, attendance fraud remains an issue as some end users can manipulate known vulnerabilities, such as proxy attendance, buddy-punching… Read full abstract & cite →

Attendance management systems fraud prevention dynamic QR code geofencing IMEI verification software algorithms mobile application

Abstract doi.org/10.14569/IJACSA.2023.01404104 PDF

105

Reverse Supply Chain Management Through a Quantity Flexibility Contract: A Case of Stochastic Remanufacturing Capacity

Author 1: Changhao Zhang

This article investigates a two-echelon reverse supply chain (RSC) where a third-party logistics provider charges customers to return outdated products. A green manufacturer refurbishes qualified returned products through the remanufacturing process. Remanufacturing capacity is considered a stochastic variable. Under the volatility of remanufacturing capacity, some likely examined, and qualified products… Read full abstract & cite →

Reverse supply chain channel coordination uncertain remanufacturing capacity quantity flexibility contract

Abstract doi.org/10.14569/IJACSA.2023.01404105 PDF

106

Simulation Method of Port Petrochemical Industry Throughput Development under the Background of Integration of Port, Industry and City

Author 1: Tingting Zhou Author 2: Chen Guo

In order to accurately predict the changes in the throughput of port petrochemical products and facilitate the formulation of relative decisions, this paper analyzes the factors affecting the throughput of port petrochemical products in a city through the GRA method. After sorting and selection, PCA method is used for pretreatment… Read full abstract & cite →

Support vector machine algorithm port throughput chicken swarm optimization algorithm grey correlation analysis petrochemical products

Abstract doi.org/10.14569/IJACSA.2023.01404106 PDF