IJACSA Vol. 13 Issue 10 (2022)

1

Hand Motion Estimation using Super-Resolution of Multipoint Surface Electromyogram by Deep Learning

Author 1: Keigo FUKUSHIMA Author 2: Yoshiaki YASUMURA

This paper proposes a method for hand motion estimation using super-resolution of multipoint surface electromyogram for prosthetic hands. In general, obtaining more EMGs (ElectroMyoGraphy) improves the accuracy of hand motion estimation, but it is costly and hard to use. Therefore, this method improves the accuracy of hand motion estimation by… Read full abstract & cite →

Hand motion estimation super-resolution deep neural network prosthetic hand electromyography

Abstract doi.org/10.14569/IJACSA.2022.0131001 PDF

2

IoTCID: A Dynamic Detection Technology for Command Injection Vulnerabilities in IoT Devices

Author 1: Hao Chen Author 2: Jinxin Ma Author 3: Baojiang Cui Author 4: Junsong Fu

The pervasiveness of IoT devices has brought us convenience as well as the risks of security vulnerabilities. However, traditional device vulnerability detection methods cannot efficiently detect command injection vulnerabilities due to heavy execution overheads or false positives and false negatives. Therefore, we propose a novel dynamic detection solution, IoTCID. First… Read full abstract & cite →

Firmware vulnerability mining command injection dynamic detection

Abstract doi.org/10.14569/IJACSA.2022.0131002 PDF

3

English and Romanian Brain-to-Text Brain-Computer Interface Word Prediction System

Author 1: Haider Abdullah Ali Author 2: Nicolae Goga Author 3: Andrei Vasilateanu Author 4: Ali M. Muslim Author 5: Khalid Abdullah Ali Author 6: Marius-Valentin Dragoi

Brain-Computer Interface (BCI) can recognise the thoughts of a human through various electrophysiological signals. Electrodes (sensors) placed on the scalp are used to detect these signals, or by using electrodes implanted inside the brain. Usually, BCI can detect brain activity through different neuroimage methods, but the most preferred is Electroencephalography… Read full abstract & cite →

Brain-to-text Brain-Computer Interface (BCI) Electroencephalography (EEG) Natural Language Processing (NLP) English language Romanian language

Abstract doi.org/10.14569/IJACSA.2022.0131003 PDF

4

Fine-grained Access Control Method for Blockchain Data Sharing based on Cloud Platform Big Data

Author 1: Yu Qiu Author 2: Biying Sun Author 3: Qian Dang Author 4: Chunhui Du Author 5: Na Li

Blockchain technology has the advantages of decentralization, de-trust, and non-tampering, which breaks through the limitations of traditional centralized technology, so it has gradually become the key technology of power data security storage and privacy protection. In the existing smart grid framework, the grid operator is a centralized key distribution organization… Read full abstract & cite →

Power grid data blockchain technology data sharing fine-grained access control game strategy ciphertext key

Abstract doi.org/10.14569/IJACSA.2022.0131004 PDF

5

Smart System for Emergency Traffic Recommendations : Urban Ambulance Mobility

Author 1: Ayoub Charef Author 2: Zahi Jarir Author 3: Mohamed Quafafou

With the increasing evolution of advanced technologies and techniques such as the Internet of Things, Artificial Intelligence and Big Data, the traffic management systems industry has acquired new methodologies for creating advanced and intelligent services and applications for traffic management and safety. The current contribution focuses on the implementation of… Read full abstract & cite →

Recommendation systems emergency urban traffic ambulance mobility emergency navigation services

Abstract doi.org/10.14569/IJACSA.2022.0131005 PDF

6

A Review of Automatic Question Generation in Teaching Programming

Author 1: Jawad Alshboul Author 2: Erika Baksa-Varga

Computer programming is a complex field that requires rigorous practice in programming code writing and learning skills, which can be one of the critical challenges in learning and teaching programming. The complicated nature of computer programming requires an instructor to manage its learning resources and diligently generate programming-related questions for… Read full abstract & cite →

Question generation question generation techniques automatic question generation teaching programming

Abstract doi.org/10.14569/IJACSA.2022.0131006 PDF

7

Application of Stacking Ensemble Machine in Big Data: Analyze the Determinants for Vitalization of the Multicultural Support Center

Author 1: Raeho Lee Author 2: Haewon Byeon

For multicultural families to successfully promote social adaptation and achieve desirable social integration, the role of the multicultural family support center (Multi-FSC) is crucial. In addition, it's important to examine the factors that will contribute to the multicultural support center's vitality from the standpoint of the customers. In this study… Read full abstract & cite →

Stacking ensemble machine radial basis function neural network random forest multicultural family support centers prediction model

Abstract doi.org/10.14569/IJACSA.2022.0131007 PDF

8

Research on Precision Marketing based on Big Data Analysis and Machine Learning:Case Study of Morocco

Author 1: Nouhaila El Koufi Author 2: Abdessamad Belangour Author 3: Mounir Sdiq

With the growth of the Internet industry and the informatization of services, online services and transactions have become the mainstream method used by clients and companies. How to attract potential customers and keep up with the Big Data era are the important challenges and issues for the banking sector. With… Read full abstract & cite →

Precision marketing big data analysis machine learning potential customers prediction algorithm (PCPA)

Abstract doi.org/10.14569/IJACSA.2022.0131008 PDF

9

A Sequence-Aware Recommendation Method based on Complex Networks

Author 1: Abdullah Alhadlaq Author 2: Said Kerrache Author 3: Hatim Aboalsamh

Online stores and service providers rely heavily on recommendation software to guide users through the vast number of available products. Consequently, the field of recommender systems has attracted increased attention from the industry and academia alike, but despite this joint effort, the field still faces several challenges. For instance, most… Read full abstract & cite →

Sequence-aware recommender systems complex networks similarity-popularity

Abstract doi.org/10.14569/IJACSA.2022.0131009 PDF

10

Mobile Applications for Cybercrime Prevention: A Comprehensive Systematic Review

Author 1: Irma Huamanñahui Chipa Author 2: Javier Gamboa-Cruzado Author 3: Jimmy Ramirez Villacorta

Now-a-days, cybercrime, cyberattacks, cyber security, phishing and malware are taking a more notorious role in people's daily lives, not only at the international level. The great technological leaps brought with them new modalities of cybercrime, the number of victims of cybercriminals has increased considerably. The objective of this study is… Read full abstract & cite →

Computer crimes cyberattacks cyber security mobile apps phishing machine learning malware systematic literature review

Abstract doi.org/10.14569/IJACSA.2022.0131010 PDF

11

Evaluation of the Efficiency of the Optimization Algorithms for Transfer Learning on the Rice Leaf Disease Dataset

Author 1: Luyl-Da Quach Author 2: Khang Nguyen Quoc Author 3: Anh Nguyen Quynh Author 4: Hoang Tran Ngoc

To improve the model's efficiency, people use many different methods, including the Transfer Learning algorithm, to improve the efficiency of recognition and classification of image data. The study was carried out to combine optimization algorithms with the Transfer Learning model with MobileNet, MobileNetV2, InceptionV3, Xception, ResNet50V2, DenseNet201 models. Then, testing… Read full abstract & cite →

Optimization algorithm transfer learning RMSprop rice leaf disease Adam

Abstract doi.org/10.14569/IJACSA.2022.0131011 PDF

12

Associating User’s Preference and Satisfaction into Quality of Experience: A Shoulder-surfing Resistant Authentication Scheme by Visual Perception

Author 1: Juliana Mohamed Author 2: Mohd Farhan Md Fudzee Author 3: Sofia Najwa Ramli Author 4: Mohd Norasri Ismail Author 5: Muhamad Hanif Jofri

Authentication acts as a secured method of usability concepts to certain transactions, especially for online banking transaction. Existing method is lacking in terms of usability, thus, making the goal of usability for authentication activities unsuccessful. A study has discovered some key concepts of usability in terms of Human Computer Interaction… Read full abstract & cite →

Authentication usability algorithm model

Abstract doi.org/10.14569/IJACSA.2022.0131012 PDF

13

Integrating Computer-aided Argument Mapping into EFL Learners’ Argumentative Writing: Evidence from Saudi Arabia

Author 1: Nuha Abdullah Alsmari

This paper aims to examine the effects of Computer-Aided Argument Mapping (CAAM) on Saudi EFL learners’ argumentative writing performance across the development of writing content and coherence and their self-regulated learning skills. A total of 40 second-year university EFL learners were purposively selected as a one-group of pre- and post-test… Read full abstract & cite →

Argumentative writing argument mapping computer-aided argument mapping self-regulated learning Saudi EFL learners

Abstract doi.org/10.14569/IJACSA.2022.0131013 PDF

14

An Efficient Computational Method of Motif Finding in the Zika Virus Genome

Author 1: Pushpa Susant Mahapatro Author 2: Jatinderkumar R. Saini

The Zika virus (ZIKV) outbreak and spread is a global health emergency declared by World Health Organization. ZIKV rapidly spread across the world, causing neurological disorders. It is gaining public and scientific consideration. ZIKV genome biology and molecular structure are better understood with published papers. Genetic regulation is better understood… Read full abstract & cite →

Consensus string genome study greedy search technique motif search pseudocount regulatory proteins ZIKV Zika virus

Abstract doi.org/10.14569/IJACSA.2022.0131014 PDF

15

Classification of Agriculture Area based on Superior Commodities in Geographic Information System

Author 1: Lilik Sumaryanti Author 2: Rosmala Widjastuti Author 3: Firman Tempola Author 4: Heru Ismanto

Research carries a classification model that combines LQ analysis and hierarchical classification using a single linkage. The classification results are a basis for mapping the potential of agriculture areas based on superior food commodities in Merauke Regency, Indonesia. LQ analysis is used to select food commodities. In contrast, the application… Read full abstract & cite →

Classification agriculture location qoutient single linkage geographic information system

Abstract doi.org/10.14569/IJACSA.2022.0131015 PDF

16

Analysis of Unsupervised Machine Learning Techniques for an Efficient Customer Segmentation using Clustering Ensemble and Spectral Clustering

Author 1: Nouri Hicham Author 2: Sabri Karim

Customer segmentation is key to a corporate decision support system. It is an important marketing technique that can target specific client categories. We create a novel consumer segmentation technique based on a clustering ensemble; in this stage, we ensemble four fundamental clustering models: DBSCAN, K-means, Mini Batch K-means, and Mean… Read full abstract & cite →

Machine learning customer segmentation marketing clustering ensemble spectral clustering

Abstract doi.org/10.14569/IJACSA.2022.0131016 PDF

17

Complexity of Web-based Application for Research and Community Service in Academic

Author 1: Fitriana Fitriana Author 2: Sukarni Sukarni Author 3: Zulkifli Zulkifli

Research data and community service in academic environment is a very important asset that must be managed properly. They have to be applied synergically in order to obtain as quality standards of higher education. A centralized web-based application designed for research data management and community service have been applied in… Read full abstract & cite →

Application complexity program scale software size function point analysis

Abstract doi.org/10.14569/IJACSA.2022.0131017 PDF

18

Brain Tumor Detection using Integrated Learning Process Detection (ILPD)

Author 1: M. Praveena Author 2: M. Kameswara Rao

Brain tumor detection becomes more complicated process in medical image processing. Analyzing brain tumors is very difficult task because of the unstructured shape of the tumors. Generally, tumors are of two types such as cancerous and non-cancerous. Cancerous tumors are called malignant and non-cancerous are called benign tumors. Malignant tumors… Read full abstract & cite →

Machine learning (ML) deep convolutional neural network (D-CNN) brain-tumor-detection integrated learning process detection (ILPD)

Abstract doi.org/10.14569/IJACSA.2022.0131018 PDF

19

Towards Home-based Therapy: The Development of a Low-cost IoT-based Transcranial Direct Current Stimulation System

Author 1: Ahmad O. Alokaily Author 2: Ghala Almeteb Author 3: Raghad Althabiti Author 4: Suhail S. Alshahrani

Transcranial direct current stimulation (tDCS), a neuromodulation technique that is painless and noninvasive, has shown promising results in assisting patients suffering from brain injuries and psychiatric conditions. Recently, there has been an increased interest in home-based therapeutic applications in various areas. This study proposes a low-cost, internet of things (IoT)-based… Read full abstract & cite →

IoT Internet of medical things tDCS home-based brain stimulation cloud

Abstract doi.org/10.14569/IJACSA.2022.0131019 PDF

20

Semi-supervised Text Annotation for Hate Speech Detection using K-Nearest Neighbors and Term Frequency-Inverse Document Frequency

Author 1: Nur Heri Cahyana Author 2: Shoffan Saifullah Author 3: Yuli Fauziah Author 4: Agus Sasmito Aribowo Author 5: Rafal Drezewski

Sentiment analysis can detect hate speech using the Natural Language Processing (NLP) concept. This process requires annotation of the text in the labeling. However, when carried out by people, this process must use experts in the field of hate speech, so there is no subjectivity. In addition, if processed by… Read full abstract & cite →

Natural language processing text annotation semi-supervised learning TF-IDF K-NN

Abstract doi.org/10.14569/IJACSA.2022.0131020 PDF

21

Comparison of Edge Detection Algorithms for Texture Analysis on Copy-Move Forgery Detection Images

Author 1: Bashir Idris Author 2: Lili N. Abdullah Author 3: Alfian Abdul Halim Author 4: Mohd Taufik Abdullah Selimun

Feature extraction in Copy-Move Forgery Detection (CMFD) is crucial to facilitate image forgery analysis. Edge detection is one of the processes to extract specific information from Copy-Move Forgery (CMF) Images. It sensitizes the amount of information in the image and filters out useless ones while preserving the important structural properties… Read full abstract & cite →

Edge detection first derivative second derivatives robert sobel prewitt laplacian canny edge detector

Abstract doi.org/10.14569/IJACSA.2022.0131021 PDF

22

Deep Learning Model for Predicting Consumers’ Interests of IoT Recommendation System

Author 1: Talal H. Noor Author 2: Abdulqader M. Almars Author 3: El-Sayed Atlam Author 4: Ayman Noor

This electronic the Internet of Things (IoT) technology has contributed to several domains such as health, energy, education, transportation, industry, and other domains. However, with the increased number of IoT solutions worldwide, IoT consumers find it difficult to choose the technology that suits their needs. This article describes the design… Read full abstract & cite →

Internet of things IoT knowledge-based recommendation system service-oriented architecture SOA long short-term memory LSTM deep learning

Abstract doi.org/10.14569/IJACSA.2022.0131022 PDF

23

A Machine Learning Model for Personalized Tariff Plan based on Customer’s Behavior in the Telecom Industry

Author 1: Lewlisa Saha Author 2: Hrudaya Kumar Tripathy Author 3: Fatma Masmoudi Author 4: Tarek Gaber

In the telecommunication industry, being able to predict customers’ behavioral pattern to successfully design and recommend a suitable tariff plan is the ultimate target. The behavioral pattern has a vital connection with the customers’ demographic background. Different researches have been done based on hypothesis testing, regression analysis, and conjoint analysis… Read full abstract & cite →

Customer behavior data analytics ensemble learning machine learning telecommunication industry

Abstract doi.org/10.14569/IJACSA.2022.0131023 PDF

24

A Systematic Literature Review of Deep Learning-Based Detection and Classification Methods for Bacterial Colonies

Author 1: Shimaa A. Nagro

Deep learning is an area of machine learning that has substantial potential in various fields of study such as image processing and computer vision. A large number of studies are published annually on deep learning techniques. The focus of this paper is on bacteria detection, identification, and classification. This paper… Read full abstract & cite →

AI bacterial-colonies classification deep learning detection literature review

Abstract doi.org/10.14569/IJACSA.2022.0131024 PDF

25

Optimization of Multilayer Perceptron Hyperparameter in Classifying Pneumonia Disease Through X-Ray Images with Speeded-Up Robust Features Extraction Method

Author 1: Mutammimul Ula Author 2: Muhathir Author 3: Ilham Sahputra

Pneumonia is an illness that affects practically everyone, from children to the elderly. Pneumonia is an infectious disease caused by viruses, bacteria, or fungi that affect the lungs. It is quite difficult to recognize someone who has pneumonia. This is because pneumonia has multiple levels of classification, and so the… Read full abstract & cite →

Multilayer perceptron SURF pneumonia hyperparameter

Abstract doi.org/10.14569/IJACSA.2022.0131025 PDF

26

Forecasting Covid-19 Time Series Data using the Long Short-Term Memory (LSTM)

Author 1: Harun Mukhtar Author 2: Reny Medikawati Taufiq Author 3: Ilham Herwinanda Author 4: Doni Winarso Author 5: Regiolina Hayami

Confirmed statistical data of Covid-19 cases that have accumulated sourced from (https://corona.riau.go.id/data-statistik/) in Riau Province on June 7, 2021, there were 63441 cases, on June 14, 2021, it increased to 65883 cases, on June 21, 2021, it increased to 67910, and on June 28, 2021, it increased to 69830 cases… Read full abstract & cite →

Time series prediction forecasting recurrent neural network long short-term memory

Abstract doi.org/10.14569/IJACSA.2022.0131026 PDF

27

Design of a Dense Layered Network Model for Epileptic Seizures Prediction with Feature Representation

Author 1: Summia Parveen Author 2: S. A. Siva Kumar Author 3: P. MohanRaj Author 4: Kingsly Jabakumar Author 5: R. Senthil Ganesh

Epilepsy is a neurological disorder that influences about 60 million people all over the world. With this, about 30% of the people cannot be cured with surgery or medications. The seizure prediction in the earlier stage helps in disease prevention using therapeutic interventions. Certain studies have sensed that abnormal brain… Read full abstract & cite →

Epilepsy seizure pre-ictal state deep learning feature representation vector model

Abstract doi.org/10.14569/IJACSA.2022.0131027 PDF

28

The Effect of the Aesthetically Mobile Interfaces on Students’ Learning Experience for Primary Education

Author 1: Nor Fatin Farzana Binti Zainuddin Author 2: Zuriana Binti Abu Bakar Author 3: Noor Maizura Binti Mohammad Author 4: Rosmayati Binti Mohamed

Mobile devices such as mobile phones are becoming more important to school students today. This is due to the COVID-19 pandemic, mostly traditional face-to-face learning has shifted to online learning such as learning via a mobile platform. Mobile learning also known as m-learning, is defined as learning in numerous situations… Read full abstract & cite →

Aesthetic non-aesthetic mobile interfaces primary education

Abstract doi.org/10.14569/IJACSA.2022.0131028 PDF

29

Real Time Customer Satisfaction Analysis using Facial Expressions and Headpose Estimation

Author 1: Nethravathi P. S Author 2: Manjula Sanjay Koti Author 3: Taramol. K.G Author 4: Soofi Anwar Author 5: Gayathri Babu J Author 6: Rajermani Thinakaran

One of the most exciting, innovative, and promising topics in marketing research is the quantification of customer interest. This work focuses on interest detection and provides a deep learning-based system that monitors client behaviour. By assessing head position, the recommended method assesses customer attentiveness. Customers whose heads are directed toward… Read full abstract & cite →

Customer monitoring convolutional neural network facial expression recognition facial analysis head pose estimations component CNN Model object localization face boosting

Abstract doi.org/10.14569/IJACSA.2022.0131029 PDF

30

An Optimized Single Layer Perceptron-based Approach for Cardiotocography Data Classification

Author 1: Bader Fahad Alkhamees

Uterine Contractions (UC) and Fetal Heart Rate (FHR) are the most common techniques for evaluating fetal and maternal assessment during pregnancy and detecting the changes in fetal oxygenation occurred throughout labor. By monitoring the Cardiotocography (CTG) patterns, doctors can measure fetus state, accelerations, heart rate, and uterine contractions. Several computational… Read full abstract & cite →

Cardiotocography machine learning artificial neural network (ANN) learning rate grid search 10-fold cross-validation

Abstract doi.org/10.14569/IJACSA.2022.0131030 PDF

31

Observe-Orient-Decide-Act (OODA) for Cyber Security Education

Author 1: Dimas Febriyan Priambodo Author 2: Yogha Restu Pramadi Author 3: Obrina Candra Briliyant Author 4: Muhammad Hasbi Author 5: Muhammad Adi Yahya

A cyber range is a term to define an isolated simulation environment that can be used for cybersecurity training. As a training tool, the cyber range has a crucial role in improving the competence of its users. Isolated environmental conditions allow users to increase competence through cybersecurity training based on… Read full abstract & cite →

Cyber security cybersecurity education cyber range OODA loop play-role scenario

Abstract doi.org/10.14569/IJACSA.2022.0131031 PDF

32

Module Partition Method of Embedded Multitasking Software Based on Fuzzy Set Theory

Author 1: Yunpeng Gu

In order to improve the reliability of embedded multitask software, a module partition method based on fuzzy set theory is proposed to solve the problem of large number of software failures and high frequency of failures. Firstly, the characteristics of embedded multitask software are analyzed, and the constraint parameter distribution… Read full abstract & cite →

Multitasking embedded modular fuzzy set theory

Abstract doi.org/10.14569/IJACSA.2022.0131032 PDF

33

Comparison of Metaheuristic Techniques for Parcel Delivery Problem: Malaysian Case Study

Author 1: Shamine A/P S. Moganathan Author 2: Siti Noor Asyikin binti Mohd Razali Author 3: Aida Mustapha Author 4: Safra Liyana binti Sukiman Author 5: Rosshairy Abd Rahman Author 6: Muhammad Ammar Shafi

Most people preferred e-commerce ensuing the Coronavirus Disease-2019 (COVID-19) outbreak, resulting in delivery companies receiving large quantities of parcels to be delivered to clients. Hurdle emerges when delivery person needs to convey items to a large number of households in a single journey as they never face this situation before… Read full abstract & cite →

Ant-colony optimization genetic algorithm delivery problem comparison cost runtime

Abstract doi.org/10.14569/IJACSA.2022.0131033 PDF

34

An Approach for Optimization of Features using Gorilla Troop Optimizer for Classification of Melanoma

Author 1: Anupama Damarla Author 2: Sumathi D

The diagnosis and categorization of skin cancer, as well as the difference in skin textures and injuries, is a tough undertaking. Manually detecting skin lesions from dermoscopy images seems to be a difficult and cumbersome challenge. Recent advancements in the internet of things (IoT) and artificial intelligence for clinical applications… Read full abstract & cite →

Skin cancer image enhancement deep learning evolutionary algorithms Particle Swarm Optimization Ant Colony Optimization Gorilla Troop Optimization

Abstract doi.org/10.14569/IJACSA.2022.0131034 PDF

35

Review on Multimodal Fusion Techniques for Human Emotion Recognition

Author 1: Ruhina Karani Author 2: Sharmishta Desai

Emotions play an essential role in human life for planning and decision making. Emotion identification and recognition is a widely explored field in the area of artificial intelligence and affective computing as a means of empathizing with humans and thereby improving human machine interaction. Though audio visual cues are vital… Read full abstract & cite →

Feature-level fusion decision-level fusion hybrid fusion artificial intelligence EEG

Abstract doi.org/10.14569/IJACSA.2022.0131035 PDF

36

A Comparative Study of Predictions of Students’ Performances in Offline and Online Modes using Adaptive Neuro-Fuzzy Inference System

Author 1: Sudhindra B. Deshpande Author 2: Kiran K.Tangod Author 3: Neelkanth V.Karekar Author 4: Pandurang S.Upparmani

Predicting a student's performance can help educational institutions to support the students in improving their academic performance and providing high-quality education. Creating a model that accurately predicts a student's performance is not only difficult but challenging. Before the pandemic situation students were more accustomed to offline i.e., physical mode of… Read full abstract & cite →

ANFIS fuzzy systems online learning e-learning classroom learning fuzzy rules predictions adaptive neuro-fuzzy inference system education technology distance education

Abstract doi.org/10.14569/IJACSA.2022.0131036 PDF

37

Combining Innovative Technology and Context based Approaches in Teaching Software Engineering

Author 1: Shamsul Huda Author 2: Sultan Alyahya Author 3: Lei Pan Author 4: Hmood Al-Dossari

Sustainability in learning is very essential for a sustainable future which largely depends on education. Sustainable learning requires learners to increase and rebuild base-knowledge as the circumstances change and get more complex. This becomes very obvious particularly for in- formation technology (IT) discipline where technology is rapidly changing and practice… Read full abstract & cite →

Sustainable learning and education context-base teaching work integrated learning hands on experience graduate outcome rate positive attitude and engagement

Abstract doi.org/10.14569/IJACSA.2022.0131037 PDF

38

Modified Intrusion Detection Tree with Hybrid Deep Learning Framework based Cyber Security Intrusion Detection Model

Author 1: Majed Alowaidi

In modern era, the most pressing issue facing modern society is protection against cyberattacks on networks. The frequency of cyber-attacks in the present world makes the problem of providing feasible security to the computer system from potential risks important and crucial. Network security cannot be effectively monitored and protected without… Read full abstract & cite →

Cybersecurity IntruDTree model convolution recurrent neural network (CRNN) MIntruDTree-HDL deep learning

Abstract doi.org/10.14569/IJACSA.2022.0131038 PDF

39

Performance Comparison between Meta-classifier Algorithms for Heart Disease Classification

Author 1: Nureen Afiqah Mohd Zaini Author 2: Mohd Khalid Awang

The rise in heart disease among the general population is alarming. This is because cardiovascular disease is the leading cause of death, and several studies have been conducted to assist cardiologists in identifying the primary cause of heart disease. The classification accuracy of single classifiers utilised in most recent studies… Read full abstract & cite →

Heart disease prediction ensemble stacking multi classifier

Abstract doi.org/10.14569/IJACSA.2022.0131039 PDF

40

Detection of Severity-based Email SPAM Messages using Adaptive Threshold Driven Clustering

Author 1: I V S Venugopal Author 2: D Lalitha Bhaskari Author 3: M N Seetaramanath

The classification of emails is one crucial part of the email filtering process, as emails have become one of the key methods of communication. The process for identifying safe or unsafe emails is complex due to the diversified use of the language. Nonetheless, most of the parallel research outcomes have… Read full abstract & cite →

BoW collection web crawler email text extraction subsetting method email class detection ranking method

Abstract doi.org/10.14569/IJACSA.2022.0131040 PDF

41

Alz-SAENet: A Deep Sparse Autoencoder based Model for Alzheimer’s Classification

Author 1: G Nagarjuna Reddy Author 2: K Nagi Reddy

Precise identification of Alzheimer's Disease (AD) is vital in health care, especially at an early stage, since recognizing the likelihood of incidence and progression allows patients to adopt preventive measures before irreparable brain damage occurs. Magnetic Resonance Imaging is an effective and common clinical strategy to diagnose AD due to… Read full abstract & cite →

Alzheimer’s disease MRI CNN sparse autoencoder DNN mild cognitive impairment

Abstract doi.org/10.14569/IJACSA.2022.0131041 PDF

42

Development of Path Loss Prediction Model using Feature Selection-Machine Learning Approach

Author 1: Bengawan Alfaresi Author 2: Zainuddin Nawawi Author 3: Bhakti Yudho Suprapto

Wireless network planning requires accurate coverage predictions to get good quality. The path loss accurate model requires a flexible model for each area including land and water. The purpose of this research is to develop a Cost-Hatta model that can be applied to the mixed land-water area. The approach used… Read full abstract & cite →

Path loss feature selection machine learning mixed land-water Cost-Hatta

Abstract doi.org/10.14569/IJACSA.2022.0131042 PDF

43

Employability Prediction of Information Technology Graduates using Machine Learning Algorithms

Author 1: Gehad ElSharkawy Author 2: Yehia Helmy Author 3: Engy Yehia

The ability to predict graduates’ employability to match labor market demands is crucial for any educational institution aiming to enhance students' performance and learning process as graduates’ employability is the metric of success for any higher education institution (HEI). Especially information technology (IT) graduates, due to the evolving demand for… Read full abstract & cite →

Machine learning IT graduates higher education employability labor market

Abstract doi.org/10.14569/IJACSA.2022.0131043 PDF

44

Otsu’s Thresholding for Semi-Automatic Segmentation of Breast Lesions in Digital Mammograms

Author 1: Moustapha Mohamed Saleck Author 2: M. H. Ould Mohamed Dyla Author 3: EL Benany Mohamed Mahmoud Author 4: Mohamed Rmili

In Maghreb countries, breast cancer considered one of the leading causes of mortality between females. A screening mammogram is a method of taking low energy level x-ray images of the human breast to identify the early symptoms of breast cancer. The shape and contour of the lesion in digitized mammograms… Read full abstract & cite →

Tumor detection lesion segmentation mammogram images Otsu’s thresholding

Abstract doi.org/10.14569/IJACSA.2022.0131044 PDF

45

Performance Analysis of Software Test Effort Estimation using Genetic Algorithm and Neural Network

Author 1: Vikas Chahar Author 2: Pradeep Kumar Bhatia

In present scenario, the software companies are frequently involving software test effort estimation to allocate the resources efficiently during the software development process. Different machine learning models are developed to estimate the total effort that would be required before the software product could be delivered. These computational models are used… Read full abstract & cite →

Test effort estimation software testing machine learning computational intelligence neural network

Abstract doi.org/10.14569/IJACSA.2022.0131045 PDF

46

A Computer Vision System for Street Sweeper Robot

Author 1: Ouiem Bchir Author 2: Sultana Almasoud Author 3: Lina Alyahya Author 4: Renad Aldhalaan Author 5: Lina Alsaeed Author 6: Nada Aldalbahi

With the spread of Covid-19, more people wear personal protective equipment such as gloves and masks. However, they are littering them all over streets, parking lots and parks. This impacts the environment and damages especially the marine ecosystem. Thus, this waste should not be discarded in the environment. Moreover, it… Read full abstract & cite →

Covid-19 street sweeper robot personal protective equipment (PPE) computer vision deep learning

Abstract doi.org/10.14569/IJACSA.2022.0131046 PDF

47

An Experimental Study with Fuzzy-Wuzzy (Partial Ratio) for Identifying the Similarity between English and French Languages for Plagiarism Detection

Author 1: Peluru Janardhana Rao Author 2: Kunjam Nageswara Rao Author 3: Sitaratnam Gokuruboyina

With the rapid growth of digital libraries and language translation tools, it is easy to translate text documents from one language to other, which results in cross-language plagiarism. It is more challenging to identify plagiarism among documents in different languages. The main aim of this paper is to translate the… Read full abstract & cite →

Plagiarism natural language processing string similarity levenshtein distance fuzzy-wuzzy

Abstract doi.org/10.14569/IJACSA.2022.0131047 PDF

48

Comparing LSTM and CNN Methods in Case Study on Public Discussion about Covid-19 in Twitter

Author 1: Fachrul Kurniawan Author 2: Yuliana Romadhoni Author 3: Laila Zahrona Author 4: Jehad Hammad

This study compares two Deep Learning model methods, which include the Long Short-Term Memory (LSTM) method and the Convolution Neural Network (CNN) method. The aim of the comparison is to discover the performance of two different fundamental deep learning approaches which are based on convolutional theory (CNN) and deal with… Read full abstract & cite →

COVID-19 LSTM CNN sentiment analysis

Abstract doi.org/10.14569/IJACSA.2022.0131048 PDF

49

ACT on Monte Carlo FogRA for Time-Critical Applications of IoT

Author 1: A. S. Gowri Author 2: P. Shanthi Bala Author 3: Zion Ramdinthara Author 4: T. Siva Kumar

The need for instantaneous processing for Internet of Things (IoT) has led to the notion of fog computing where computation is performed at the proximity of the data source. Though fog computing reduces the latency and bandwidth bottlenecks, the scarcity of fog nodes hampers its efficiency. Also, due to the… Read full abstract & cite →

Cloud edge fog Internet of Things (IoT) Reinforcement Learning (RL)

Abstract doi.org/10.14569/IJACSA.2022.0131049 PDF

50

Delay-Aware and Profit-Maximizing Task Migration for the Cloudlet Federation

Author 1: Hengzhou Ye Author 2: Junhao Guo Author 3: Xinxiao Li

As the result of Open Edge Computing (OEC) project, cloudlet embodies the middle layer of edge computing architecture. Due to the close deployment to the user side, responding to user requests through cloudlet can reduce delay, improve security, and reduce bandwidth occupancy. In order to improve the quality of user… Read full abstract & cite →

Cloudlet federation task migration delay-aware dynamic pricing profit-maximizing edge computing

Abstract doi.org/10.14569/IJACSA.2022.0131050 PDF

51

Collaborative Ontology Construction Framework: An Attempt to Rationalize Effective Knowledge Dissemination

Author 1: Kaneeka Vidanage Author 2: Noor Maizura Mohamad Noor Author 3: Rosmayati Mohemad Author 4: Zuriana Abu Bakar

Ontologies are domain rich conceptualizations, which can be utilized for effective knowledge dissemination strategies. Knowledge dissemination plays a vital role in any industry. In this research, novel framework is designed and experimented for the collaborative ontology construction. With the iterative and incremental involvement of the domain specialists and ontologists rational… Read full abstract & cite →

Collaborative domain-specialists framework methodology ontologies

Abstract doi.org/10.14569/IJACSA.2022.0131051 PDF

52

BiLSTM and Multiple Linear Regression based Sentiment Analysis Model using Polarity and Subjectivity of a Text

Author 1: Marouane CHIHAB Author 2: Mohamed CHINY Author 3: Nabil Mabrouk Author 4: Hicham BOUSSATTA Author 5: Younes CHIHAB Author 6: Moulay Youssef HADI

Sentiment analysis has become more and more requested by companies to improve their services. However, the main contribution of this paper is to present the results of the study which consists in proposing a combined model of sentiment analysis that is able to find the binary polarity of the analyzed… Read full abstract & cite →

Sentiment analysis textbolb long short term memory logistic regression k-nearest neighbors random forest support vector machine k-means naive bayes

Abstract doi.org/10.14569/IJACSA.2022.0131052 PDF

53

Local Texture Representation for Timber Defect Recognition based on Variation of LBP

Author 1: Rahillda Nadhirah Norizzaty Rahiddin Author 2: Ummi Raba’ah Hashim Author 3: Lizawati Salahuddin Author 4: Kasturi Kanchymalay Author 5: Aji Prasetya Wibawa Author 6: Teo Hong Chun

This paper evaluates timber defect classification performance across four various Local Binary Patterns (LBP). The light and heavy timber used in the study are Rubberwood, KSK, Merbau, and Meranti, and eight natural timber defects involved; bark pocket, blue stain, borer holes, brown stain, knot, rot, split, and wane. A series… Read full abstract & cite →

Automated visual inspection local binary pattern timber defect classification texture feature feature extraction

Abstract doi.org/10.14569/IJACSA.2022.0131053 PDF

54

Unethical Internet Behaviour among Students in High Education Institutions: A Systematic Literature Review

Author 1: Zakiah Ayop Author 2: Aslinda Hassan Author 3: Syarulnaziah Anawar Author 4: Nur Fadzilah Othman Author 5: Rabiah Ahmad Author 6: Nor Raihana Mohd Ali Author 7: Maslin Masrom

The modern internet era has several advantages and disadvantages, including the advent of immoral Internet conduct in addition to better, quicker, and increased working capacity in less time. Even though the area of study on unethical Internet activity has advanced, systematic literature reviews from a comprehensive perspective on unethical Internet… Read full abstract & cite →

Systematic literature review unethical Internet behavior university student Internet ethics

Abstract doi.org/10.14569/IJACSA.2022.0131054 PDF

55

Teachers’ Attitudes Towards the Use of Augmented Reality Technology in Teaching Arabic in Primary School Malaysia

Author 1: Lily Hanefarezan Asbulah Author 2: Mus’ab Sahrim Author 3: Nor Fatini Aqilah Mohd Soad Author 4: Nur Afiqah Athirah Mohd Rushdi Author 5: Muhammad Afiq Hilmi Mhd Deris

The era of Industrial Revolution 4.0 has brought the debate of teachers' willingness to use information technology in teaching Arabic. Thus, new technologies have emerged with a positive effect on teaching, such as augmented reality technology applied in the education system, especially in teaching. However, there is still limited research… Read full abstract & cite →

Attitude teachers augmented reality Arabic language primary school

Abstract doi.org/10.14569/IJACSA.2022.0131055 PDF

56

An Algorithm for Shrinking Blood Receptacles using Retinal Internal Pictures for Clinical Characteristics Measurement

Author 1: Aws A. Abdulsahib Author 2: Moamin A Mahmoud Author 3: Sally A. Al-Hasnawi

The manual technique that might use for shrinking vessels blood in the retinal fundus images has significant limitations, such as the high rate of time consumption and the possibility of human error, precisely appear with the sophisticated structure of the blood receptacle and a hung amount of the retinal fundus… Read full abstract & cite →

Segmentation vessels / shrinking blood receptacles clinical characteristics measurement internal pictures for retinal morphological filtering algorithm

Abstract doi.org/10.14569/IJACSA.2022.0131056 PDF

57

Detection of Cyber-Physical Attacks using Physical Model with Nonparametric EWMA Detector

Author 1: Joko Supriyadi Author 2: Jazi Eko Istiyanto Author 3: Agfianto Eko Putra

Industrial Control System (ICS) can suffer of cyber-physical attacks resulting in accident, damage, or financial loss. The attacks can be detected in both in physical space or cyberspace of the ICS. The detection in physical space can be based on physical models of the system. To model the physical system… Read full abstract & cite →

Industrial control systems cyber-physical attacks physical model dynamic mode decomposition method with control (DMDc) nonparametric exponentially weighted moving average (EWMA)

Abstract doi.org/10.14569/IJACSA.2022.0131057 PDF

58

Performance Evaluation of New Feature based on Ordinal Pattern Analysis for Iris Biometric Recognition

Author 1: Sheena S Author 2: Sheena Mathew Author 3: Bindu M Krishna

The Iris recognition technique is currently the most efficient biometric identification system and is a common system on the practical front. Though most of the commercial systems use the patented Daugman’s algorithm, which mainly uses wavelet-based features, research is still active in identifying novel features that can provide personal identification… Read full abstract & cite →

Dispersion entropy iris recognition rubber-sheet data ordinal patterns correlation

Abstract doi.org/10.14569/IJACSA.2022.0131058 PDF

59

Mitigation of DDoS Attack in Cloud Computing Domain by Integrating the DCLB Algorithm with Fuzzy Logic

Author 1: Amrutha Muralidharan Nair Author 2: R Santhosh

Cloud computing would be an easy method to obtain services, resources and applications from any location on the internet. In the future of data generation, it is an unavoidable conclusion. Despite its many attractive properties, the cloud is vulnerable to a variety of attacks. One such well-known attack that emphasizes… Read full abstract & cite →

DDoS attack resource scaling DCLB fuzzy logic traffic parameters

Abstract doi.org/10.14569/IJACSA.2022.0131059 PDF

60

Federated Learning Approach for Measuring the Response of Brain Tumors to Chemotherapy

Author 1: Omneya Atef Author 2: Mustafa Abdul Salam Author 3: Hisham Abdelsalam

Brain tumor is a fatal disease and one of the major causes of rising death rates in adults. Predicting methylation of the O6-Methylguanine-DNA Methyltransferase (MGMT) gene status utilizing Magnetic resonance imaging (MRI) imaging is highly important since it is a predictor of brain tumor responses to chemotherapy, which reduces the… Read full abstract & cite →

Federated Learning (FL) BraTS2021 Data Privacy O6-Methylguanine-DNA Methyltransferase (MGMT) OpenFl EfficentNet-B3 brain tumors Deep Learning (DL)

Abstract doi.org/10.14569/IJACSA.2022.0131060 PDF

61

A Fake News Detection System based on Combination of Word Embedded Techniques and Hybrid Deep Learning Model

Author 1: Mohamed-Amine OUASSIL Author 2: Bouchaib CHERRADI Author 3: Soufiane HAMIDA Author 4: Mouaad ERRAMI Author 5: Oussama EL GANNOUR Author 6: Abdelhadi RAIHANI

At present, most people prefer using different online sources for reading news. These sources can easily spread fake news for several malicious reasons. Detecting this unreliable news is an important task in the Natural Language Processing (NLP) field. Many governments and technology companies are engaged in this research field to… Read full abstract & cite →

Deep learning (DL) Bidirectional Long Short-Term Memory (BILSTM) Convolutional Neural Network (CNN) Natural Language Processing (NLP) fake news

Abstract doi.org/10.14569/IJACSA.2022.0131061 PDF

62

Research on Blind Obstacle Ranging based on Improved YOLOv5

Author 1: Yongquan Xia Author 2: Yiqing Li Author 3: Jianhua Dong Author 4: Shiyu Ma

An improved model based on YOLOv5s is proposed for the problem that the YOLOv5 network model does not have high localization accuracy when detecting and identifying obstacles at different distances and sizes from the blind, which in turn leads to low accuracy in measuring distances. There are two main core… Read full abstract & cite →

Binocular ranging object detection attention mechanism

Abstract doi.org/10.14569/IJACSA.2022.0131062 PDF

63

Classification Method for Power Load Data of New Energy Grid based on Improved OTSU Algorithm

Author 1: Xun Ma Author 2: Kai Liu Author 3: Anlei Liu Author 4: Xuchao Jia Author 5: Yong Wang

The classification method for power load data of new energy grid based on improved OTSU algorithm is studied to improve the classification accuracy of power load data. According to the idea of two-dimensional visualization of time series, GAF (Geographical Adaptive Fidelity) method is used to transform the current data of… Read full abstract & cite →

Improved OTSU algorithm new energy grid power load classification method

Abstract doi.org/10.14569/IJACSA.2022.0131063 PDF

64

Study on the Technical Characteristics of Badminton Players in Different Stages through Video Analysis

Author 1: Jin Qiu

Through video analysis, Tai Tzu Ying, an excellent athlete, and badminton player A from Chongqing Institute of Engineering, were studied in this paper. The videos of the two athletes were organized and recorded, and the use of techniques in different stages were compared. The results found that Tai Tzu Ying’s… Read full abstract & cite →

Women’s singles video analysis athletes badminton technical characteristics

Abstract doi.org/10.14569/IJACSA.2022.0131064 PDF

65

Deep Architecture based on DenseNet-121 Model for Weather Image Recognition

Author 1: Saleh A. Albelwi

Weather conditions have a significant effect on humans’ daily lives and production, ranging from clothing choices to travel, outdoor sports, and solar energy systems. Recent advances in computer vision based on deep learning methods have shown notable progress in both scene awareness and image processing problems. These results have highlighted… Read full abstract & cite →

Weather recognition DenseNet-121 deep learning data augmentation transfer learning

Abstract doi.org/10.14569/IJACSA.2022.0131065 PDF

66

Research on Improved Shallow Neural Network Big Data Processing Model based on Gaussian Function

Author 1: Lifang Fu

The application of the current new generation communication technology is gradually diversified, and the global Internet users are increasing, leading some large enterprises to increasingly rely on faster and more efficient big data processing technology. In order to solve the shortcomings of the current big data processing algorithms, such as… Read full abstract & cite →

Gaussian function RBF big data processing incremental learning sliding window

Abstract doi.org/10.14569/IJACSA.2022.0131066 PDF

67

Conceptual Model of Augmented Reality Mobile Application Design (ARMAD) to Enhance user Experience: An Expert Review

Author 1: Nik Azlina Nik Ahmad Author 2: Ahmad Iqbal Hakim Suhaimi Author 3: Anitawati Mohd Lokman

Rapid technological advancement has altered the demands of user experience (UX) in product design. However, research has shown that there is a gap and paucity of conceptual and practical models in this research field that may serve as guidelines for the design of immersive technologies such as augmented reality (AR)… Read full abstract & cite →

Augmented reality conceptual design model emotional UX Kansei Engineering mobile application user experience

Abstract doi.org/10.14569/IJACSA.2022.0131067 PDF

68

A Novel Prediction Model for Compiler Optimization with Hybrid Meta-Heuristic Optimization Algorithm

Author 1: Sandeep U. Kadam Author 2: Sagar B. Shinde Author 3: Yogesh B. Gurav Author 4: Sunil B Dambhare Author 5: Chaitali R Shewale

Compiler designer needs years or sometimes months to construct programs using heuristic optimization rules for a specified compiler. For every novel processor, the modelers require readjusting the heuristics to get the probable performances of processor. The most important purpose of the developed approach is to build a prediction approach with… Read full abstract & cite →

Compiler prediction improved relief HBA-BEO model neural network

Abstract doi.org/10.14569/IJACSA.2022.0131068 PDF

69

A Deep Learning and Machine Learning Approach for Image Classification of Tempered Images in Digital Forensic Analysis

Author 1: Praveen Chitti Author 2: K. Prabhushetty Author 3: Shridhar Allagi

Multimedia images are the primary source of communication across social media and other websites. Multimedia security has gained the attention of modern researchers and has posed dynamic challenges such as image forensics, image tampering, and deep fakes. Malicious users tamper with the image embedding noise, leading to misinterpretation of the… Read full abstract & cite →

Support Vector Machine (SVM) Discrete Cosine Transform (DCT) Convolution Neural Network (CNN) Image Forensics and Image Forgery

Abstract doi.org/10.14569/IJACSA.2022.0131069 PDF

70

Evaluation of Land Use/Land Cover Classification based on Different Bands of Sentinel-2 Satellite Imagery using Neural Networks

Author 1: Pallavi M Author 2: Thivakaran T K Author 3: Chandankeri Ganapathi

Spatial data analytics is an emerging technology. Artificial neural network techniques play a major role in analysing any critical dataset. Integrating remote sensing data with deep neural networks has led a way to several research problems. This paper aims at producing land use land cover map of Bangalore region, Karnataka… Read full abstract & cite →

Sentinel-2 neural networks convolutional neural networks remote sensing data land use land cover maps

Abstract doi.org/10.14569/IJACSA.2022.0131070 PDF

71

Exponential Decay Function-Based Time-Aware Recommender System for e-Commerce Applications

Author 1: Ayat Yehia Hassan Author 2: Etimad Fadel Author 3: Nadine Akkari

Unlike traditional recommendation systems that rely only on the user's preferences, context-aware recommendation systems (CARS) consider the user's contextual information such as (time, weather, and geographical location). These data are used to create more intelligent and effective recommendation systems. Time is one of the most important and influential factors that… Read full abstract & cite →

Time-aware recommender system context-aware recommender system matrix factorization K-Nearest Neighbor (KNN) and Sparse Linear Method (SLIM)

Abstract doi.org/10.14569/IJACSA.2022.0131071 PDF

72

A Comprehensive Assessment Framework for Evaluating Adaptive Security and Privacy Solutions for IoT e-Health Applications

Author 1: Waqas Aman Author 2: Fatima Najla Mohammed

There exist numerous adaptive security and privacy (S&P) solutions to manage potential threats at runtime. However, there is a lack of a comprehensive assessment framework that can holistically validate their effectiveness. Existing Adaptive S&P assessment efforts either focus on privacy or security in general, or are focused on specific adaptive… Read full abstract & cite →

Internet of Things Adaptive Security IoT Architecture e-Health Effectiveness Privacy

Abstract doi.org/10.14569/IJACSA.2022.0131072 PDF

73

Enhanced Jaya Algorithm for Multi-objective Optimisation Problems

Author 1: Rahaini Mohd Said Author 2: Roselina Sallehuddin Author 3: Nor Haizan Mohd Radzi Author 4: Wan Fahmn Faiz Wan Ali

Evolutionary algorithms are suitable techniques for solving complex problems. Many improvements have been made on the original structure algorithm in order to obtain more desirable solutions. The current study intends to enhance multi-objective performance with benchmark optimisation problems by incorporating the chaotic inertia weight into the current multi-objective Jaya (MOJaya)… Read full abstract & cite →

MOJaya chaotic inertia weight ZDT benchmark function convergence metric diversity metric

Abstract doi.org/10.14569/IJACSA.2022.0131073 PDF

74

Research on the Academic Early Warning Model of Distance Education based on Student Behavior Data in the Context of COVID-19

Author 1: Yi Qu Author 2: Zhiyuan Sun Author 3: Libin Liu

The COVID-19 epidemic has caused great impact on the entire society, and the spread of novel coronavirus has brought a lot of inconvenience to the education industry. To ensure the sustainability of education, distance education plays a significant role. During the process of distance education, it is necessary to examine… Read full abstract & cite →

COVID-19 Student behavior data Distance education Academic early warning model

Abstract doi.org/10.14569/IJACSA.2022.0131074 PDF

75

Dynamic Polymorphism without Inheritance: Implications for Education

Author 1: Ivaylo Donchev Author 2: Emilia Todorova

Polymorphism is a core OO concept. Despite the rich pedagogical experience in teaching it, there are still difficulties in its correct and multifaceted perception by students. In this article, a method about a deeper study of the concept of polymorphism is offered by extending the learning content of the CS2… Read full abstract & cite →

Inheritance polymorphism object-oriented C++ type erasure pointers templates lambda expressions teaching

Abstract doi.org/10.14569/IJACSA.2022.0131075 PDF

76

Application of Training Load Prediction Model based on Improved BP Neural Network in Sports Training of Athletes

Author 1: Lin Liu Author 2: Guannan Sheng

With the enhancement of data mining technology, competitive sports informatization has become an inevitable development trend. It has become a common phenomenon to use data mining technology to help athletes train scientifically, assist coaches in rational decision-making, and improve team competitiveness. In competitive sports, cyclists' adaptation to training has a… Read full abstract & cite →

BP neural network adaptive genetic algorithm selection operator training load

Abstract doi.org/10.14569/IJACSA.2022.0131076 PDF

77

Analyzing Multi-stage Reverse Osmosis Desalination Using Artificial Intelligence

Author 1: Batiseba Tekle Author 2: Azmi Alazzam Author 3: Abdulwehab Ibrahim Author 4: Ghassan Malkawi Author 5: Abdulaziz Fares NajiMoqbel Author 6: Nissar Qureshi Author 7: Ahmed Hamadat Author 8: Filomento O. Corona Jr

Population growth has resulted in a decrease in readily available sources of potable water. Desalination is one of many approaches that has been studied and proposed as a way out of this predicament. In this study, multistage Reverse Osmosis desalination process is used in the model, since it has the… Read full abstract & cite →

Artificial intelligence artificial neural network desalination regression reverse osmosis support vector machine

Abstract doi.org/10.14569/IJACSA.2022.0131077 PDF

78

Educational Platform based on Smartphone to Increase Students’ Interaction in Classroom

Author 1: Mohamed Naser AlSubie Author 2: Omar Ben Bahri

Current smartphones meet all the criteria for university application. This technology opens the door to develop new techniques to enhance teaching methods. In addition, it presents an interest solution for students’ guidance and helping. Thus, the idea of this proposal aims to provide a platform around smart phone based on… Read full abstract & cite →

Android classroom e-learning data management IoT smartphone

Abstract doi.org/10.14569/IJACSA.2022.0131078 PDF

79

A Novel Architecture for Community-Sustained Cultural Mapping System

Author 1: Chong Eng Tan Author 2: Sei Ping Lau Author 3: Siew Mooi Wong

This paper presents a novel system architecture for implementing a cultural mapping system for the community of Buayan, a remote rural village in Sabah, East Malaysia. By considering various shortcomings of the local environment and the need for a community-sustained system, the cultural mapping system was designed to leverage a… Read full abstract & cite →

Rural system architecture telecentre cultural mapping sustainability

Abstract doi.org/10.14569/IJACSA.2022.0131079 PDF

80

Research on Personalized Recommendation of High-Quality Academic Resources based on user Portrait

Author 1: Jianhui Xu Author 2: Mustafa Man Author 3: Ily Amalina Ahmad Sabri Author 4: Guoyi Li Author 5: Chao Yang Author 6: Mingxue Jin

With the advent of the era of big data, the phenomenon of information overload is becoming increasingly serious. It is difficult for academic users to obtain the information they want quickly and accurately in the face of massive academic resources. Aiming at the optimization of academic resource recommendation services, this… Read full abstract & cite →

Personalized recommendation system user portrait academic resources collaborative filtering

Abstract doi.org/10.14569/IJACSA.2022.0131080 PDF

81

An Inspection of Learning Management Systems on Persuasiveness of Interfaces and Persuasive Design: A Case in a Higher Learning Institution

Author 1: Wan Nooraishya Wan Ahmad Author 2: Mohamad Hidir Mhd Salim Author 3: Ahmad Rizal Ahmad Rodzuan

An effective Learning Management System (LMS) is an essential factor that can increase e-learning persuasiveness. One of the components that need to be addressed to design an effective LMS is design interfaces. Instead of developing a new LMS that requires a high cost, evaluating and improving the existing LMS is… Read full abstract & cite →

Learning management system e-learning persuasive design persuasiveness interface design

Abstract doi.org/10.14569/IJACSA.2022.0131081 PDF

82

The Development of an Ontology for Information Retrieval about Ethnic Groups in Chiang Mai Province

Author 1: Phichete Julrode Author 2: Thepchai Supnithi

This study aims to develop the semantic ontology of information knowledge about ethnic groups by analyzing information from the collection of documentary sources from libraries, research, and the museum for learning about people on the highlands located in Chiang Mai Province. The study is based on the classification theory of… Read full abstract & cite →

Information retrieval ontology development ethnic groups knowledge organization chiang mai

Abstract doi.org/10.14569/IJACSA.2022.0131082 PDF

83

CoSiT: An Agent-based Tool for Training and Awareness to Fight the Covid-19 Spread

Author 1: Henri-Joel Azemena Author 2: Franck-Anael K. Mbiaya Author 3: Selain K. Kasereka Author 4: Ho Tuong Vinh

Since the beginning of 2020 and following the recommendation of the Emergency Committee, the WHO (World Health Organization) Director General declared that the Covid-19 outbreak constitutes a Public Health Emergency of International Concern. Given the urgency of this outbreak, the international community is mobilizing to find ways to significantly accelerate… Read full abstract & cite →

Multi-agent system covid-19 CoSiT modeling-simulation barrier measures complex systems

Abstract doi.org/10.14569/IJACSA.2022.0131083 PDF

84

Parallel Hough Transform based on Object Dual and Pymp Library

Author 1: Abdoulaye SERE Author 2: Moise OUEDRAOGO Author 3: Armand Kodjo ATIAMPO

Geometric shape detection in an image is a classical problem that leads to many applications, in cartography to highlight roads in a noisy image, in medical imaging to localize disease in a region and in agronomy to fight against weeds with pesticides. The Hough Transform method contributes effectively to the… Read full abstract & cite →

Hough transform parallel computing pattern recognition

Abstract doi.org/10.14569/IJACSA.2022.0131084 PDF

85

Prototyping a Mobile Application for Children with Dyscalculia in Primary Education using Augmented Reality

Author 1: Misael Lazo-Amado Author 2: Leoncio Cueva-Ruiz Author 3: Laberiano Andrade-Arenas

Dyscalculia is a disorder of difficulty in understanding, understanding of numbers and mathematical operations in such a way that the child has a greater stress by not solving the exercises proposed by the teacher, leading to the objective of the research in making an innovation plan dedicated to the mobile… Read full abstract & cite →

App augmented class design thinking dyscalculia miro app TinkerCad

Abstract doi.org/10.14569/IJACSA.2022.0131085 PDF

86

Adaptive Lane Keeping Assist for an Autonomous Vehicle based on Steering Fuzzy-PID Control in ROS

Author 1: Hoang Tran Ngoc Author 2: Luyl-Da Quach

An autonomous vehicle is a vehicle that can run autonomously using a control. There are two modern autonomous assistant systems that are proposed in this research. First, we introduce a real-time approach to detect lanes of the streets. Based on a series of multi-step image processing through input data from… Read full abstract & cite →

Autonomous vehicles automated steering lane detection fuzzy PID control ROS Gazebo

Abstract doi.org/10.14569/IJACSA.2022.0131086 PDF

87

Money Laundering Detection using Machine Learning and Deep Learning

Author 1: Johrha Alotibi Author 2: Badriah Almutanni Author 3: Tahani Alsubait Author 4: Hosam Alhakami Author 5: Abdullah Baz

In recent years, money laundering activities have shown rapid progress and have indeed become the main concern for governments and financial institutions all over the world. As per recent statistics, $800 billion to $2 trillion is the estimated value of money laundered annually, in which $5 billion of the total… Read full abstract & cite →

Anti-money laundering machine learning supervised learning cryptocurrency

Abstract doi.org/10.14569/IJACSA.2022.0131087 PDF

88

Multi-Channel Speech Enhancement using a Minimum Variance Distortionless Response Beamformer based on Graph Convolutional Network

Author 1: Nguyen Huu Binh Author 2: Duong Van Hai Author 3: Bui Tien Dat Author 4: Hoang Ngoc Chau Author 5: Nguyen Quoc Cuong

The Minimum Variance Distortionless Response (MVDR) beamforming algorithm is frequently utilized to extract speech and noise from noisy signals captured from multiple microphones. A frequency-time mask should be employed to compute the Power Spectral Density (PSD) matrices of the noise and the speech signal of interest to obtain the optimal… Read full abstract & cite →

Multi-Channel Speech Enhancement Graph Convolutional Networks Minimum Variance Distortionless Response Beamformer Complex Ideal Ratio Mask

Abstract doi.org/10.14569/IJACSA.2022.0131088 PDF

89

Impact of Input Data Structure on Convolutional Neural Network Energy Prediction Model

Author 1: Imen Toumia Author 2: Ahlem Ben Hassine

Energy demand continues to increase with no prospect of slowing down in the future. This increase is caused by several sociological and economical factors such as population growth, urbanization and technological developments. In view of this growth, it becomes crucial to predict energy consumption for a more accurate management and… Read full abstract & cite →

Deep learning convolutional neural network energy consumption energy prediction

Abstract doi.org/10.14569/IJACSA.2022.0131089 PDF

90

Decode and Forward Coding Scheme for Cooperative Relay NOMA System with Cylindrical Array Transmitter

Author 1: Samuel Tweneboah-Koduah Author 2: Emmanuel Ampoma Affum Author 3: Kingsford Sarkodie Obeng Kwakye Author 4: Owusu Agyeman Antwi

The Non-Orthogonal Multiple Access (NOMA) technique has enormous potential for wireless communications in the fifth generation (5G) and beyond. Researchers have recently become interested in the combination of NOMA and cooperative relay. Even though geometric-based stochastic channel models (GBSM) have been found to provide better, practical, and realistic channel properties… Read full abstract & cite →

CR-NOMA 3D GBSM DF coding scheme Cylindrical Array (CA) cooperative relay

Abstract doi.org/10.14569/IJACSA.2022.0131090 PDF

91

A Decision Concept to Support House Hunting

Author 1: Tanjim Mahmud Author 2: Dilshad Islam Author 3: Manoara Begum Author 4: Sudhakar Das Author 5: Lily Dey Author 6: Koushick Barua

House hunting, or the act of seeking for a place to live, is one of the most significant responsibilities for many families around the world. There are numerous criteria/factors that must be evaluated and investigated. These traits can be both statistically and qualitatively quantified and expressed. There is also a… Read full abstract & cite →

AHP multiple criteria decision Making (MCDM) uncertainty evidential reasoning

Abstract doi.org/10.14569/IJACSA.2022.0131091 PDF

92

A Drone System with an Object Identification Algorithm for Tracking Dengue Disease

Author 1: Diego Moran-Landa Author 2: Maria del Rosario Damian Author 3: Pedro Miguel Portillo Mendoza Author 4: Carlos Sotomayor-Beltran

In recent decades, it has been shown that epidemi-ological surveillance is one of the most valuable tool that public health has, since it allows us to have an overview of the population general health, thus allowing to anticipate outbreaks of epidemics by helping in timely interventions. Currently there is an… Read full abstract & cite →

Epidemiological surveillance drones neural networks recognition algorithms

Abstract doi.org/10.14569/IJACSA.2022.0131092 PDF

93

Analysis of the Intuitive Teleoperated System of the TxRob Multimodal Robot

Author 1: Jeyson Carpio A Author 2: Samuel Luque C Author 3: Juan Chambi C Author 4: Jesus Talavera S

Natural disasters such as earthquakes, avalanches, landslides, among others, leave in their path people who may be trapped in the rubble, which are hardly found by rescue agents, so a reliable system in the operation of an exploration and rescue robot is essential. This paper aims to evaluate the systems… Read full abstract & cite →

Multimodal interface Immersive teleoperation exploration robot Gyroscope and subjective measurements

Abstract doi.org/10.14569/IJACSA.2022.0131093 PDF

94

Exploring Power Advantage of Binary Search: An Experimental Study

Author 1: Muhammad Al-Hashimi Author 2: Naif Aljabri

As exascale systems come online, more ways are needed to keep them within reasonable power budgets. This study aims to help uncover power advantages in algorithms likely ubiquitous in high-performance workloads such as searching. This study explored the power efficiency of binary search and its ternary variant, comparing consumption under… Read full abstract & cite →

Binary search ternary search time-power tradeoff exascale computing barrel shifter

Abstract doi.org/10.14569/IJACSA.2022.0131094 PDF

95

CertOracle: Enabling Long-term Self-Sovereign Certificates with Blockchain Oracles

Author 1: Shaoxi Zou Author 2: Fa Jin Author 3: Yongdong Wu

Identity certificate is an endorsement of identity attributes from an authority issuer, and plays a critical role in many digital applications such as electronic banking. However, the existing certificate schemes have two weaknesses: (1) a certificate is valid only for a short period due to expiry of the issuer’s private… Read full abstract & cite →

Digital certificate blockchain oracle fully homo-morphic encryption secure two-party computation

Abstract doi.org/10.14569/IJACSA.2022.0131095 PDF

96

Evaluation of Online Machine Learning Algorithms for Electricity Theft Detection in Smart Grids

Author 1: Ashraf Alkhresheh Author 2: Mutaz A. B. Al-Tarawneh Author 3: Mohammad Alnawayseh

Electricity theft-induced power loss is a pressing issue in both traditional and smart grid environments. In smart grids, smart meters can be used to track power consumption behaviour and detect any suspicious activity. However, smart meter readings can be compromised by deploying intrusion tactics or launching cyber attacks. In this… Read full abstract & cite →

Smart grid power loss electricity theft online machine learning

Abstract doi.org/10.14569/IJACSA.2022.0131096 PDF

97

Artificial Intelligence for Automated Plant Species Identification: A Review

Author 1: Khaoula Labrighli Author 2: Chouaib Moujahdi Author 3: Jalal El Oualidi Author 4: Laila Rhazi

Plants are very important for life on Earth. There is a wide variety of plant species and their number increases each year. The plants identification using conventional keys is complex, takes time and it is frustrating for non-experts because of the use of specific botanical terms/techniques. This creates a difficult… Read full abstract & cite →

Plants identification species artificial intelligence machine learning deep learning

Abstract doi.org/10.14569/IJACSA.2022.0131097 PDF

98

Arduino for Developing Problem-Solving and Computing Competencies in Children

Author 1: Cristian Vidal-Silva Author 2: Claudia Jimenez-Quintana Author 3: Erika Madariaga-Garcia

Fostering children’s problem-solving and computationalprogramming competencies is crucial at the current time. Like in other in-developing nations, children grew up with technology in Chile. Developing programming and problem-solving competencies in children seems a reachable task using high-level block-based programming languages. However, programming and electronics competencies often emerge at higher educational… Read full abstract & cite →

Arduino competencies programming problem-solving children

Abstract doi.org/10.14569/IJACSA.2022.0131098 PDF

99

An Integrated Hardware Prototype for Monitoring Gas leaks, Fires, and Remote control via Mobile Application

Author 1: Md. Ashiqur Rahman Author 2: Humayra Ahmed Author 3: Md. Mamun Hossain

Liquefied petroleum gas (LPG) is used in a wide range of applications such as home and industrial appliances, vehicles, and refrigerators. However, leakage of gas can have a dangerous and toxic effect on humans and other living organisms. In this paper, an IoT based system is employed for this purpose… Read full abstract & cite →

Gas leakage infrared flame detection IoT android Arduino UNO

Abstract doi.org/10.14569/IJACSA.2022.0131099 PDF

100

Performance Evaluation of Raspberry Pi as an IoT Edge Signal Processing Device for a Real-time Flash Flood Forecasting System

Author 1: Aslinda Hassan Author 2: Haniza Nahar Author 3: Wahidah Md Shah Author 4: Azlianor Abd-Aziz Author 5: Sarah Afiqah Sahiran Author 6: Nazrulazhar Bahaman Author 7: Mohd Riduan Ahmad Author 8: Isredza Rahmi A. Hamid Author 9: Muhammad Abu Bakar Sidik

The Raspberry Pi has evolved in recent years into a popular, low-cost, tiny computer for a wide range of IoT applications. Raspberry Pi is not only successful for data collection but also for data processing, including data storage and analysis. Thus, this study investigates the capability of Raspberry Pi as… Read full abstract & cite →

Raspberry Pi IoT edge performance

Abstract doi.org/10.14569/IJACSA.2022.01310100 PDF

101

Decentralized Payment Aggregator: Hyperledger Fabric

Author 1: Md. Al-Amin Author 2: Khondoker Shahrina Author 3: Rubyet Hossain Author 4: Debashish Sarker Author 5: Sumya Sultana Meem

Blockchain has become a great trend and very popular in the present era. There are two types of Blockchain technology, centralized and decentralized. In this research, the main concern is about the decentralized payment gateway, which is a trustworthy architecture and does not depend on third parties. For recording the… Read full abstract & cite →

Blockchain decentralized hyperledger fabric bit-coin payment system

Abstract doi.org/10.14569/IJACSA.2022.01310101 PDF

102

Efficient HPC and Energy-Aware Proactive Dynamic VM Consolidation in Cloud Computing

Author 1: Rukshanda Kamran Author 2: Ali A. El-Moursy Author 3: Amany Abdelsamea

The adoption of High-Performance Computing (HPC) applications has gained an extensive interest in the Cloud computing. Current cloud vendors utilize separate management tools for HPC and non-HPC applications, missing out on the consolidation benefits of virtualization. Non-HPC applications executed in the cloud may interfere with resource-hungry HPC applications, which is… Read full abstract & cite →

Cloud computing HPC (High-Performance Computing) virtual machine consolidation placement optimization

Abstract doi.org/10.14569/IJACSA.2022.01310102 PDF

103

Triple SVM Integrated with Enhanced Random Region Segmentation for Classification of Lung Tumors

Author 1: Sukruth Gowda M A Author 2: A Jayachandran

The rapid growth of Computer vision and Machine Learning applications, especially in Health care systems, assures a secure, innovative lifestyle for society. The implication of these technologies in the early diagnosis of lung tumors helps in lung cancer detection and promises the survival rate of patients. The existing general diagnosis… Read full abstract & cite →

Benign computed tomography malignant lung cancer radiation triple support vector machine

Abstract doi.org/10.14569/IJACSA.2022.01310103 PDF

104

Optimized Automatic Course Timetabling Service Architecture for Integration with Vendor Management Systems

Author 1: Marwah M. Alansari

Generating university course timetables is a complex problem, especially in large environments such as institutions. Currently, some universities in Saudi Arabia manually generate timetables for classes because they use Vendor Management Systems (VMS) for registration and management. Manually generating course timetables is time-consuming and laborious for the academic staff. Although… Read full abstract & cite →

Courses timetable generation genetic algorithm course scheduling service-based system service-oriented architecture optimization web services

Abstract doi.org/10.14569/IJACSA.2022.01310104 PDF

105

Cryptocurrency Price Prediction using Forecasting and Sentiment Analysis

Author 1: Shaimaa Alghamdi Author 2: Sara Alqethami Author 3: Tahani Alsubait Author 4: Hosam Alhakami

In recent years, many investors have used cryptocurrencies, prompting specialists to find out the factors that affect cryptocurrencies’ prices. Therefore, one of the most popular methods that have been used to predict cryptocurrency prices is sentiment analysis. It is a widespread technique utilized by many researchers on social media platforms… Read full abstract & cite →

Sentiment analysis cryptocurrencies forecasting bitcoin ethereum

Abstract doi.org/10.14569/IJACSA.2022.01310105 PDF

106

The Multi-Objective Design of Laminated Structure with Non-Dominated Sorting Genetic Algorithm

Author 1: Huiyao Zhang Author 2: Yuxiao Wang Author 3: Fangmeng Zeng

Non-dominated sorting genetic algorithm has shown excellent advantages in solving complicated optimization problems with discrete variables in a variety of domains. In this paper, we implement a multi-objective genetic algorithm to guide the design of the laminated structure with two objectives: minimizing the mass and maximizing the strength of a… Read full abstract & cite →

Non-dominated sorting genetic algorithm optimization failure theory laminated composite material classical lamination theory

Abstract doi.org/10.14569/IJACSA.2022.01310106 PDF

107

From Monolith to Microservices: A Semi-Automated Approach for Legacy to Modern Architecture Transition using Static Analysis

Author 1: Mohd Hafeez Osman Author 2: Cheikh Saadbouh Author 3: Khaironi Yatim Sharif Author 4: Novia Admodisastro

Modern system architecture may increase the maintainability of the system and promote the sustainability of the system. Nowadays, more and more organizations are looking towards microservice due to its positive impact on the business which can be translated into delivering quality products to the market faster than ever before. On… Read full abstract & cite →

Static analysis software architecture software modernisation microservices

Abstract doi.org/10.14569/IJACSA.2022.01310107 PDF

108

SDN Architecture for Smart Homes Security with Machine Learning and Deep Learning

Author 1: Wesam Abdulrhman Alonazi Author 2: Hedi HAMDI Author 3: Nesrine A. Azim Author 4: A. A. Abd El-Aziz

In recent decades, Intelligent home systems are popular because they improve comfort and quality of life. A growing number of homes are becoming "smarter" by incorporating Internet of Things (IoT) technology to improve comfort, energy efficiency, and safety. Increases in resource-constrained IoT devices heighten security threats and vulnerabilities connected with… Read full abstract & cite →

SDN smart home security machine learning deep learning

Abstract doi.org/10.14569/IJACSA.2022.01310108 PDF

109

Skin Melanoma Classification from Dermoscopy Images using ANU-Net Technique

Author 1: Vankayalapati Radhika Author 2: B. Sai Chandana

Cells in any area of the body might develop cancer when they begin to grow uncontrollably. Other body regions may become affected by it. Skin cancer known as melanoma develops when melanocytes, or cells that create melanin, the pigment that gives skin its appearance of color, start to develop out… Read full abstract & cite →

Melanoma LeNet-5 ANU-Net dermoscopy images benign classification

Abstract doi.org/10.14569/IJACSA.2022.01310109 PDF

110

Method for Determination of Tealeaf Plucking Date with Cumulative Air Temperature: CAT and Photosynthetically Active Radiation: PAR

Author 1: Kohei Arai Author 2: Yoshiko Hokazono

Method for determination of tealeaf plucking date with cumulative air temperature and Photosynthetically Active Radiation: PAR which is provided by the remote sensing satellites: Terra/MODIS and Aqua/MODIS is proposed. Also, a confirmation of thermal environment at the intensive study tea farm areas with Landsat-9 TIR (Thermal Infrared) image is conducted… Read full abstract & cite →

Plucking date elapsed days after sprouting cumulative air temperature Landsat-9 TIR theanine regressive analysis

Abstract doi.org/10.14569/IJACSA.2022.01310110 PDF

111

Remote Monitoring Solution for Cardiovascular Diseases based on Internet of Things and PLX-DAQ add-in

Author 1: Jeanne Roux NGO BILONG Author 2: Yao Gaspard Magnificat BOSSOU Author 3: Adam Ismael Paco SIE Author 4: Gervais MENDY Author 5: Cheikhane SEYED

Access to health remains a real problem in Africa especially for the follow up of patients with chronic diseases. Many cases of heart attack deaths are still recorded before victims can access treatment. This is due to several factors, namely the insufficient number of cardiologists, the inaccessibility of hospitals with… Read full abstract & cite →

Cardiovascular diseases microcontroller arduino esp8086 AD8232 Plx-DAQ IoT ECG

Abstract doi.org/10.14569/IJACSA.2022.01310111 PDF

112

Anomaly Detection in Video Surveillance using SlowFast Resnet-50

Author 1: Mahasweta Joshi Author 2: Jitendra Chaudhari

Surveillance systems are widely used in malls, colleges, schools, shopping centers, airports, etc. This could be due to the increasing crime rate in daily life. It is a very tedious task to monitor and detect abnormal activities 24x7 from the surveillance system. So the detection of abnormal events from videos… Read full abstract & cite →

Accuracy GPU (Graphics Processing Unit) SlowFast Resnet50 Softmax UCF-Crime dataset

Abstract doi.org/10.14569/IJACSA.2022.01310112 PDF

113

Address Pattern Recognition Flash Translation Layer for Quadruple-level cell NAND-based Smart Devices

Author 1: Se Jin Kwon

The price of the solid-state drives has become a major factor in the development of flash memory technology. Major semiconductor companies are developing quadruple-level cell NAND-based SSDs for smart devices. Unfortunately, SSDs composed of quadruple-level cell (QLC) flash memory may suffer from low performance. In addition, few studies on internal… Read full abstract & cite →

Memory management nonvolatile memory smart devices

Abstract doi.org/10.14569/IJACSA.2022.01310113 PDF

114

Hybrid Deep Learning Signature based Correlation Filter for Vehicle Tracking in Presence of Clutters and Occlusion

Author 1: Shobha B. S Author 2: Deepu. R

This vehicle tracking is an important task of smart traffic management. Tracking is very challenging in presence of occlusions, clutters, variation in real world lighting, scene conditions and camera vantage. Joint distribution of vehicle movement, clutter and occlusions introduces larger errors in particle tracking based approaches. This work proposes a… Read full abstract & cite →

Smart traffic management background subtraction vehicle detection aggregation signature hybrid tracker

Abstract doi.org/10.14569/IJACSA.2022.01310114 PDF

115

Improving Slope Stability in Open Cast Mines via Machine Learning based IoT Framework

Author 1: Sameer Kumar Das Author 2: Subhendu Kumar Pani Author 3: Abhaya Kumar Samal Author 4: Sasmita Padhy Author 5: Sachikanta Dash Author 6: Singam Jayanthu

Slope stability has been a matter of concern for most geologists, mainly due to the fact that unstable slopes cause a greater number of accidents, which in turn reduces efficiency of mining operations. In order to reduce the probability of these slope instabilities, methods like tension crack mapping, inclinometer measurements… Read full abstract & cite →

Opencast mining slope IoT stability machine learning data mining

Abstract doi.org/10.14569/IJACSA.2022.01310115 PDF

116

Cross-Event User Reaction Prediction on a Social Network Platform

Author 1: Pramod Bide Author 2: Sudhir Dhage

Social network surges with multiple tweets with mixture of multiple emotions by many users when events like rape, robbery, war and murder, we use this user data to analyze user emotions between cross-events and try to predict user reactions for the next possible such event. Cross-events are a series of… Read full abstract & cite →

Twitter cross events collaborative filtering logistic regression social and topical context

Abstract doi.org/10.14569/IJACSA.2022.01310116 PDF