IJACSA Vol. 13 Issue 3 (2022)

1

Helping People with Social Anxiety Disorder to Recognize Facial Expressions in Video Meetings

Author 1: Jieyu Wang Author 2: Abdullah Abuhussein Author 3: Hanwei Wang Author 4: Tian Qi Author 5: Xiaoyue Ma Author 6: Amani Alqarni Author 7: Lynn Collen

According to previous research on social anxiety disorder (SAD) and facial expressions, those with SAD tend to view all faces as portraying negative emotions; thus, they are afraid of chatting with others when they cannot understand the real emotions being communicated. The advancement of facial recognition technology has given people… Read full abstract & cite →

Social phobia/social anxiety disorder video meeting facial expression recognition emotion recognition empirical research

Abstract doi.org/10.14569/IJACSA.2022.0130301 PDF

2

Can the Futures Market be Predicted-Perspective based on AutoGluon

Author 1: YangChun Xiong Author 2: ZiXuan Pan Author 3: BaiFu Chen

This paper discusses how to raise efficiency of predicting the Chinese futures market correlation coefficient. First, the predicted periods are divided by major events and the predictabilities between different periods are compared at the same time. Second, on this basis, an automatic machine learning framework, AutoGluon is applied to compare… Read full abstract & cite →

AutoGluon LSTM GRU Chinese futures market

Abstract doi.org/10.14569/IJACSA.2022.0130302 PDF

3

Stochastic Rounding for Image Interpolation and Scan Conversion

Author 1: Olivier Rukundo Author 2: Samuel Emil Schmidt

The stochastic rounding (SR) function is proposed to evaluate and demonstrate the effects of stochastically rounding row and column subscripts in image interpolation and scan conversion. The proposed SR function is based on a pseudorandom number, enabling the pseudorandom rounding up or down any non-integer row and column subscripts. Also… Read full abstract & cite →

Cardiac ultrasound deterministic rounding image quality interpolation pseudorandom number scan conversion stochastic rounding video quality

Abstract doi.org/10.14569/IJACSA.2022.0130303 PDF

4

Analysis of the Elderly's Internet Accessed Time using XGB Machine Learning Model for Solving the Level of the Information Gap of the Elderly

Author 1: Hung Viet Nguyen Author 2: Haewon Byeon

This study aims to construct machine learning models to predict the elderly's internet-accessed time. These models can resolve the information gaps in the present and future by analyzing information use factors such as internet access and mobile device usability. We analyzed 2,300 adults 55 years of age and older who… Read full abstract & cite →

Information gap machine learning prediction model elderly

Abstract doi.org/10.14569/IJACSA.2022.0130304 PDF

5

Accessibility of Bulgarian Regional Museums Websites

Author 1: Todor Todorov Author 2: Galina Bogdanova Author 3: Mirena Todorova–Ekmekci

Web accessibility is an inclusive practise that ensures everyone including people with disabilities can successfully work and interact with websites and use all their functionality. The research in the paper investigates the problem of web accessibility of Regional museums in Bulgaria and the compliance of their websites with the recommendations… Read full abstract & cite →

Accessibility museums web accessibility visual disability disabled person testing automatic validation tools WCAG criteria

Abstract doi.org/10.14569/IJACSA.2022.0130305 PDF

6

Can Ready-to-Use RNNs Generate “Good” Text Training Data?

Author 1: Jia Hui Feng

There is much research on the state-of-the-art techniques for generating training data through neural networks. However, many of these techniques are not easily implemented or available due to factors such as copyright of their research code. Meanwhile, there are other neural network codes currently available that are easily accessible for… Read full abstract & cite →

Neural networks machine learning text genera-tion classification natural language processing data augmenta-tion artificial intelligence

Abstract doi.org/10.14569/IJACSA.2022.0130306 PDF

7

Spectrum Pricing in Cognitive Radio Networks: An Analysis

Author 1: Reshma C R Author 2: Arun kumar B. R

The wireless technology is applied in developing various applications in different trust areas. Due to this there is a huge demand for the spectrum band. The available spectrum can be shared among the primary users and the secondary users. The spectrum is utilized by the secondary user on rental basis… Read full abstract & cite →

Price game theory analysis of price trading usage

Abstract doi.org/10.14569/IJACSA.2022.0130307 PDF

8

Mobile-based Vaccine Registry to Improve Collection and Completeness of Maternal Immunization Data

Author 1: Zubeda S. Kilua Author 2: Mussa A. Dida Author 3: Devotha N. Nyambo

Immunization during pregnancy and infancy significantly reduces morbidity and mortality of mothers, unborn fetuses, and young infants. Several studies show the merits of getting complete, quality, and accurate data on time to enhance policy and decision-making for society or country development. Despite the efforts by nations to ensure the success… Read full abstract & cite →

Maternal immunization electronic immunization registry USSD data collection limited resource setting

Abstract doi.org/10.14569/IJACSA.2022.0130308 PDF

9

Personalized Desire2Learn Recommender System based on Collaborative Filtering and Ontology

Author 1: Walid Qassim Qwaider

In this century, attention has grown to recommendation systems (RS), especially in e-learning, to solve the problem of overloading information in e-learning systems. E-learning providers also play a major role in helping learners to find appropriate courses that fit their learning plan using Desire2Learn at Majmaah University. Although recommendation systems… Read full abstract & cite →

Collaborative filtering Desire2Learn ontology recommender system (RS) personalized Desire2Learn PDRS

Abstract doi.org/10.14569/IJACSA.2022.0130309 PDF

10

Design Level Class Decomposition using the Threshold-based Hierarchical Agglomerative Clustering

Author 1: Bayu Priyambadha Author 2: Tetsuro Katayama

Refactoring activity is essential to maintain the quality of a software’s internal structure. It decays as the impact of software changes and evolution. Class decomposition is one of the refactoring processes in maintaining internal quality. Mostly, the refactoring process is done at the level of source code. Shifting from source… Read full abstract & cite →

Refactoring design level refactoring software refactoring hierarchical clustering class decomposition

Abstract doi.org/10.14569/IJACSA.2022.0130310 PDF

11

A Comparative Analysis of Multi-Criteria Decision Making Techniques for Ranking of Attributes for e-Governance in India

Author 1: Bhaswati Sahoo Author 2: Rabindra Narayana Behera Author 3: Prasant Kumar Pattnaik

e-Governance is the system in which all the public services are made available in the online platform with the help of secured cyber architecture. Government along with the people have praised the ability of Information and communications technology (ICT) around the world in stimulating the various vital sectors of the… Read full abstract & cite →

e-Governance information and communication technology multi-criteria decision making ranking technique for order of preference by similarity to ideal solution (TOPSIS) usability weighted sum model (WSM) weighted product model (WPM)

Abstract doi.org/10.14569/IJACSA.2022.0130311 PDF

12

Comparative Analysis of Lexicon and Machine Learning Approach for Sentiment Analysis

Author 1: Roopam Srivastava Author 2: P. K. Bharti Author 3: Parul Verma

Opinion mining or analysis of text are other terms for sentiment analysis. The fundamental objective is to extract meaningful information and data from unstructured text using natural language processing, statistical, and linguistics methodologies. This further is used for deriving qualitative and quantitative results on the scale of ‘positive’, ‘neutral’, or… Read full abstract & cite →

NLP sentiment analysis SGD (stochastic gradient descent) machine learning TFIDF BoW VADER SVM AFINN

Abstract doi.org/10.14569/IJACSA.2022.0130312 PDF

13

COVID-19 Detection from X-Ray Images using Convoluted Neural Networks: A Literature Review

Author 1: Othman A. Alrusaini

This paper reviews a host of other peer-reviewed articles related to the detection of COVID-19 infection from X-ray images using Convoluted Neural Network (CNN) approaches. It stems from a background of a pandemic that has hit the world and negatively affected all spheres of life. The currently available testing mechanisms… Read full abstract & cite →

Convoluted neural networks COVID-19 chest x-ray transfer learning support vector machines long short-term memory

Abstract doi.org/10.14569/IJACSA.2022.0130313 PDF

14

Development of Mathematics Web-based Learning on Table Set-Up Activities

Author 1: Gusti Ayu Dessy Sugiharni Author 2: I Made Ardana Author 3: I Gusti Putu Suharta Author 4: I Gusti Putu Sudiarta

This paper aimed to discuss product design and expert validation of the mathematics web-based learning table set up activities in the hospitality industry. This research was a type of Research and Development, which aimed to develop a new product. The experts involved in this study were four experts. There were… Read full abstract & cite →

Development web-based learning mathematics table set-up activities

Abstract doi.org/10.14569/IJACSA.2022.0130314 PDF

15

A Risk Management Framework for Large Scale Scrum using Metadata Outer Request Management Methodology

Author 1: Rehab Adel Author 2: Hany Harb Author 3: Ayman Elshenawy

Recently, most software projects became naturally Distributed Agile Development (DAD) projects. The main benefits of DAD projects are cost-saving and being close to markets due to their distributed nature, such as in large-scale Scrum (LeSS). Developing LeSS projects leads to the emergence of challenges in risk management, especially the team… Read full abstract & cite →

Distributed agile development knowledge sharing risk management large scale scrum metadata outer request management

Abstract doi.org/10.14569/IJACSA.2022.0130315 PDF

16

Technique for Balanced Load Balancing in Cloud Computing Environment

Author 1: Narayan A. Joshi

Resource sharing by means of load balancing in cloud computing environments helps for efficient utilization of cloud resources and higher overall throughput. However, implementation of poor load balancing algorithms may cause some virtual machines starving for additional cloud resources. Employing meagre crafted mechanism for priority-oriented load balancing may leave low-level… Read full abstract & cite →

Cloud environment resource sharing load balancing starvation priority oriented resource allocation

Abstract doi.org/10.14569/IJACSA.2022.0130316 PDF

17

A Heuristic Feature Selection in Logistic Regression Modeling with Newton Raphson and Gradient Descent Algorithm

Author 1: Samingun Handoyo Author 2: Nandia Pradianti Author 3: Waego Hadi Nugroho Author 4: Yusnita Julyarni Akri

Binary choices, such as success or failure, acceptance or rejection, high or low, heavy or light, and so on, can always be used to express decision-making. Based on the known predictor feature values, a classification model can be used to predict an unknown categorical value. The logistic regression model is… Read full abstract & cite →

Classification model feature selection gradient descent logistic regression Newton Raphson

Abstract doi.org/10.14569/IJACSA.2022.0130317 PDF

18

HEMClust: An Improved Fraud Detection Model for Health Insurance using Heterogeneous Ensemble and K-prototype Clustering

Author 1: Shamitha S Kotekani Author 2: V Ilango

Health insurance plays an integral part of society's economic well-being; the existence of fraud creates innumerable challenges in providing affordable health care support for the people. In order to reduce the losses incurred due to fraud, there is a need for a powerful model to predict fraud on the data… Read full abstract & cite →

Fraud detection health insurance ensemble learners meta-level learning clustering classification algorithms

Abstract doi.org/10.14569/IJACSA.2022.0130318 PDF

19

An Authorization Framework for Preserving Privacy of Big Medical Data via Blockchain in Cloud Server

Author 1: Hemanth Kumar N P Author 2: Prabhudeva S

In recent years, cloud-based medical record sharing has greatly improved the process of researching the disease and patient diagnosis. However, since cloud systems are centralized, there is serious concern about data security and privacy. Blockchain technology is viewed as a promising method of dealing with privacy issues and data security… Read full abstract & cite →

Medical data cloud blockchain data sharing access control security privacy preservation

Abstract doi.org/10.14569/IJACSA.2022.0130319 PDF

20

Dynamic and Optimized Routing Approach (DORA) in Vehicular Ad hoc Networks (VANETs)

Author 1: Satyanarayana Raju K Author 2: Selvakumar K

Vehicular Ad hoc Networks (VANETs) are one of the significant areas of research and this is also a subfield in Ad Hoc Networks. This is mainly focused on improving the safety of roads and reducing the total number of accidents. There is no central coordination to this network, nodes are… Read full abstract & cite →

Data transmission rate (DTR) packet delivery ratio (PDR) packet drop ratio (PDRatio) throughput

Abstract doi.org/10.14569/IJACSA.2022.0130320 PDF

21

Comparative Analysis of RSA and NTRU Algorithms and Implementation in the Cloud

Author 1: Bambang Harjito Author 2: Henny Nurcahyaning Tyas Author 3: Esti Suryani Author 4: Dewi Wisnu Wardani

The emergence of cloud computing platforms makes it easier to connect and collaborate globally without setting up additional infrastructures such as servers and data centers. This causes the emergence of threats to data security against digital information. This security threat can be overcome by cryptography. Examples of cryptographic algorithms are… Read full abstract & cite →

Attacks privacy cryptography RSA NTRU cloud storage

Abstract doi.org/10.14569/IJACSA.2022.0130321 PDF

22

A Conceptual Framework for using Big Data in Egyptian Agriculture

Author 1: Sayed Ahmed Author 2: Amira S. Mahmoud Author 3: Eslam Farg Author 4: Amany M. Mohamed Author 5: Marwa S. Moustafa Author 6: Mohamed A. E. AbdelRahman Author 7: Hisham M. AbdelSalam Author 8: Sayed M. Arafat

Agriculture is a typical contributor to the Egyptian economy, which could benefit from the comprehensive capabilities of Big Data (BD). In this work, we review the BD role in the agriculture sector in responding to two main questions: 1) Which technique, frameworks and data types were adopted. 2) Identification of… Read full abstract & cite →

Agriculture big data (BD) big data paradigm BD processing framework conceptual BD framework geographical information systems (GIS) Hadoop spark

Abstract doi.org/10.14569/IJACSA.2022.0130322 PDF

23

Design and Development for a Vehicle Tracking System

Author 1: Tim Abe P. Andutan Author 2: Rosanna C. Ucat

In recent years, the drastic increase in the number of vehicle thefts brings about at an alarming rate around the world. However, existing vehicle tracking devices have certain limitations including the lack of ability to determine if the vehicle is on the right route. To address this problem, this study… Read full abstract & cite →

Arduino global positioning system GPS global system for mobile communications GSM vehicle tracking route deviation detection

Abstract doi.org/10.14569/IJACSA.2022.0130323 PDF

24

EMOGAME: Digital Games Therapy for Older Adults

Author 1: Nita Rosa Damayanti Author 2: Nazlena Mohamad Ali

EmoGame is a cognitive and emotional game useful for helping older adults who experience Mild Cognitive Impairment (MCI). EmoGame was developed with a memory therapy approach. This therapy can help cognitive and positive emotions and introduce objects through pictures, such as pictures of old objects and old music in old… Read full abstract & cite →

Digital games therapy older adults mild cognitive impairment

Abstract doi.org/10.14569/IJACSA.2022.0130324 PDF

25

A Paradigm for DoS Attack Disclosure using Machine Learning Techniques

Author 1: Mosleh M. Abualhaj Author 2: Ahmad Adel Abu-Shareha Author 3: Mohammad O. Hiari Author 4: Yousef Alrabanah Author 5: Mahran Al-Zyoud Author 6: Mohammad A. Alsharaiah

Cybersecurity is one of the main concerns of governments, businesses, and even individuals. This is because a vast number of attacks are their core assets. One of the most dangerous attacks is the Denial of Service (DoS) attack, whose primary goal is to make resources unavailable to legitimate users. In… Read full abstract & cite →

DoS attack machine learning NSL-KDD IDPS systems

Abstract doi.org/10.14569/IJACSA.2022.0130325 PDF

26

A Prediction Error Nonlinear Difference Expansion Reversible Watermarking for Integrity and Authenticity of DICOM Medical Images

Author 1: David Muigai Author 2: Elijah Mwangi Author 3: Edwell T. Mharakurwa

It is paramount to ensure the integrity and authenticity of medical images in telemedicine. This paper proposes an imperceptible and reversible Medical Image Watermarking (MIW) scheme based on image segmentation, image prediction and nonlinear difference expansion for integrity and authenticity of medical images and detection of both intentional and unintentional… Read full abstract & cite →

Medical Image Watermarking (MIW) Digital Imaging and Communication in Medicine (DICOM) region of interest (ROI) and region of non-interest (RONI) prediction error (PE) nonlinear difference expansion (NDE) authenticity integrity

Abstract doi.org/10.14569/IJACSA.2022.0130326 PDF

27

Deep Learning Framework for Physical Internet Hubs Inbound Containers Forecasting

Author 1: El-Sayed Orabi Helmi Author 2: Osama Emam Author 3: Mohamed Abdel-Salam

This article presents a framework for physical internet hubs inbound containers forecasting based on deep learning and time series analysis. The inbound containers forecasting is essential for planning, scheduling, and resources allocation. The proposed framework consists of three main phases. First, the inbound historical transaction has been processed to find… Read full abstract & cite →

Physical internet hubs (π hubs) deep learning convolutional neural network (CNN) recurrent neural network (RNN) time series forecasting

Abstract doi.org/10.14569/IJACSA.2022.0130327 PDF

28

An Intelligent Anti-Jamming Mechanism against Rule-based Jammer in Cognitive Radio Network

Author 1: Sudha Y Author 2: Sarasvathi V

Cognitive Radio Network (CRN) has become a promising technology to overcome the problem of insufficient spectrum utilization. However, the CRN is susceptible to the well-known jamming attack, which reduces its spectrum utilization efficiency. Existing jamming identification schemes and their countermeasure typically require prior statistical information about the communication channel and… Read full abstract & cite →

Anti-jamming agent cognitive radio network reinforcement learning

Abstract doi.org/10.14569/IJACSA.2022.0130328 PDF

29

Rainfall Forecasting using Support Vector Regression Machines

Author 1: Lemuel Clark Velasco Author 2: Johanne Miguel Aca-ac Author 3: Jeb Joseph Cajes Author 4: Nove Joshua Lactuan Author 5: Suwannit Chareen Chit

Heavy rainfall as a consequence of climate change have immensely impacted the ecology, the economy, and the lives of many. With the variety of available predictive tools, it is imperative that performance analysis of rainfall forecasting models is properly conducted as a measure for disaster preparedness and mitigation. Support Vector… Read full abstract & cite →

Support vector regression machines support vector machines rainfall forecasting

Abstract doi.org/10.14569/IJACSA.2022.0130329 PDF

30

Using Decision Tree Classification Model to Predict Payment Type in NYC Yellow Taxi

Author 1: Hadeer Ismaeil Author 2: Sherif Kholeif Author 3: Manal A. Abdel-Fattah

The taxi services are growing rapidly as reliable services. The demand and competition between service providers is so high. A billion trip records need to be analyzed to raise the spirit of competition, understand the service users, and improve the business. Although decision tree classification is a common algorithm which… Read full abstract & cite →

Big data analytics apache spark decision tree classification taxi trips machine learning

Abstract doi.org/10.14569/IJACSA.2022.0130330 PDF

31

An Extended DBSCAN Clustering Algorithm

Author 1: Ahmed Fahim

Finding clusters of different densities is a challenging task. DBSCAN “Density-Based Spatial Clustering of Applications with Noise” method has trouble discovering clusters of various densities since it uses a fixed radius. This article proposes an extended DBSCAN for finding clusters of different densities. The proposed method uses a dynamic radius… Read full abstract & cite →

Cluster analysis density-based clustering varied density clusters data mining extended density-based spatial clustering of applications with noise (E-DBSCAN)

Abstract doi.org/10.14569/IJACSA.2022.0130331 PDF

32

Unsupervised Chest X-ray Opacity Classification using Minimal Deep Features

Author 1: Mohd Zulfaezal Che Azemin Author 2: Mohd Izzuddin Mohd Tamrin Author 3: Mohd Adli Md Ali Author 4: Iqbal Jamaludin

Data privacy has been a concern in medical imaging research. One important step to minimize the sharing of patient’s information is by limiting the use of original images in the workflow. This research aimed to use minimal deep learning features in detecting anomaly in chest X-ray (CXR) images. A total… Read full abstract & cite →

Unsupervised classification minimal deep features convolution neural network chest x-ray airspace opacity

Abstract doi.org/10.14569/IJACSA.2022.0130332 PDF

33

IoT based Speed Control for Semi-Autonomous Electric On-Road Cargo Vehicle

Author 1: P. L. Arunkumar Author 2: M. Ramaswamy Author 3: T. S. Murugesh

The paper develops an investigative GSM enabled IoT based speed control scheme suitable for electric On-Road cargo vehicles. The design involves the bounding of the parameters that include the vehicle speed, motor speed, Truck payload, battery SoC (State of Charge), battery SoH (State of Health), real time navigation points using… Read full abstract & cite →

Electric vehicle IoT speed control battery SoC battery SoH micro-controller embedded system GSM proximity sensor payload real time navigation GPS

Abstract doi.org/10.14569/IJACSA.2022.0130333 PDF

34

A Novel Approach of Hyperspectral Imaging Classification using Hybrid ConvNet

Author 1: Soumyashree M Panchal Author 2: Shivaputra

In recent years, remote sensing applications have been booming, and with this hyperspectral imaging (HSI) has been used in many real-life applications. However, the classification of HSI is a significant problem due to the complex features of the captured hyperspectral scene. Moreover, the HSI is often inherently nonlinear and has… Read full abstract & cite →

Hyperspectral image convolution neural network classification spatial feature spectral feature

Abstract doi.org/10.14569/IJACSA.2022.0130334 PDF

35

Non-Repudiation-based Network Security System using Multiparty Computation

Author 1: Divya K. S Author 2: Roopashree H. R Author 3: Yogeesh A C

Security has always been a prominent concern over the network, and various essential requirements are required to cater to an efficient security system. Non-repudiation is a requirement about the non-deniability of services acting as a bridge between seamless relaying of service/data and efficient security implementation. There have been various studies… Read full abstract & cite →

Future network multiparty computation nonrepudiation security

Abstract doi.org/10.14569/IJACSA.2022.0130335 PDF

36

An Algorithm based on Convolutional Neural Networks to Manage Online Exams via Learning Management System Without using a Webcam

Author 1: Lassaad K. SMIRANI Author 2: Jihane A. BOULAHIA

Cheating attempts in educational assessments have long been observed. Because students today are characterized by their great digital intelligence, this negative conduct has intensified throughout the emergency remote teaching time. First, this article discusses the most innovative methods for combating cheating throughout the online evaluation procedure. Then, for this aim… Read full abstract & cite →

Artificial intelligence convolutional neural network learning assessment online cheating online examination higher education emergency remote teaching

Abstract doi.org/10.14569/IJACSA.2022.0130336 PDF

37

A Cubic B-Splines Approximation Method Combined with DWT and IBP for Single Image Super-resolution

Author 1: Victor Kipkoech Mutai Author 2: Elijah Mwangi Author 3: Ciira wa Maina

The process of converting low-resolution images into high-resolution images by removing noise and estimating high-frequency information is known as image super-resolution. Aliased and decimated versions of the actual scenes are considered low-resolution images. The edges of high-resolution images produced by super-resolution from a single image are typically blurred. This paper… Read full abstract & cite →

Single-image super-resolution pre-filtering cubic B-Splines approximation discrete wavelet transform (DWT) iterative back-projection (IBP) B-Splines coefficients

Abstract doi.org/10.14569/IJACSA.2022.0130337 PDF

38

Supervised Learning Techniques for Intrusion Detection System based on Multi-layer Classification Approach

Author 1: Mansoor Farooq

The goal of this study is to discover a solution to two problems: first, the signature-based intrusion detection system SNORT can identify a new attack signature without human intervention; and second, signature-based IDS cannot detect multi-stage attacks. The interesting aspect of this study is the growing ways to address the… Read full abstract & cite →

IDS SNORT fuzzy logic neural networks decision tree Naïve Bayes

Abstract doi.org/10.14569/IJACSA.2022.0130338 PDF

39

A Comprehensive Study of Different Types of Deduplication Technique in Various Dimensions

Author 1: G. Sujatha Author 2: Jeberson Retna Raj

In the current digital era, the growth of digital data is highly exceptional. There are various sources available for these digital data. The quantity of digital data being produced rose exponentially with time because of organizations and even by individuals, finally end up in the need of huge storage space… Read full abstract & cite →

Digital data deduplication storage optimization cloud storage service duplicate copies bandwidth utilization

Abstract doi.org/10.14569/IJACSA.2022.0130339 PDF

40

PLA Mechanical Performance Before and After 3D Printing

Author 1: Houcine SALEM Author 2: Hamid ABOUCHADI Author 3: Khalid ELBIKRI

PLA or polylactic acid is a thermoplastic made from renewable sources. Thanks to its environmental value compared to petroleum sourced materials, it is widely used in 3D printing industry. Due to the advantages of additive manufacturing in terms of cost and time consumption, many industries are using these technologies to… Read full abstract & cite →

Additive manufacturing PLA test sample traction 3D printing

Abstract doi.org/10.14569/IJACSA.2022.0130340 PDF

41

Detecting Hate Speech on Twitter Network Using Ensemble Machine Learning

Author 1: Raymond T Mutanga Author 2: Nalindren Naicker Author 3: Oludayo O Olugbara

Twitter is habitually exploited now-a-days to propagate torrents of hate speeches, misogynistic, and misandry tweets that are written in slang. Machine learning methods have been explored in manifold studies to address the inherent challenges of hate speech detection in online spaces. Nevertheless, language has subtleties that can make it stiff… Read full abstract & cite →

Classical learning deep learning ensemble learning hate speech social media twitter network voting ensemble

Abstract doi.org/10.14569/IJACSA.2022.0130341 PDF

42

Methodology for Infrastructure Site Monitoring using Unmanned Aerial Vehicles (UAVs)

Author 1: Cristian Benjamin Garcia Casierra Author 2: Carlos Gustavo Calle Sanchez Author 3: Javier Ferney Castillo Garcia Author 4: Felipe Munoz La Rivera

Monitoring a work of infrastructure allows one to know the state of this and the efficiency of the workers. The follow-up is a work carried out by the auditor, which sails to correspond with the design in planes. It takes fulfillment in the budgeted one and complies with the established… Read full abstract & cite →

Topography unmanned aerial vehicle infrastructure work monitoring digital image processing component construction site

Abstract doi.org/10.14569/IJACSA.2022.0130342 PDF

43

Development of Pipe Inspection Robot using Soft Actuators, Microcontroller and LabVIEW

Author 1: Mohd Aliff Author 2: Mohammad Imran Author 3: Sairul Izwan Author 4: Mohd Ismail Author 5: Nor Samsiah Author 6: Tetsuya Akagi Author 7: Shujiro Dohta Author 8: Weihang Tian Author 9: So Shimooka Author 10: Ahmad Athif

Pipeline transportation is particularly significant nowadays because it can transfer liquids or gases over a long distance, usually to a market area for use, using a system of pipes. The pipeline's numerous fittings, such as elbows and tees, as well as the various sizes and types of materials utilized, make… Read full abstract & cite →

Soft pneumatic actuator pipe inspection robot flexible actuator microcontroller sliding and holding mechanism

Abstract doi.org/10.14569/IJACSA.2022.0130343 PDF

44

Deep Learning-based Detection System for Heavy-Construction Vehicles and Urban Traffic Monitoring

Author 1: Sreelatha R Author 2: Roopa Lakshmi R

In this intelligent transportation systems era, traffic congestion analysis in terms of vehicle detection followed by tracking their speed is gaining tremendous attention due to its complicated intrinsic ingredients. Specifically, in the existing literature, vehicle detection on highway roads are studied extensively while, to the best of our knowledge the… Read full abstract & cite →

Intelligent transportation systems heavy-construction vehicles detection traffic monitoring and SSD-based CNN component deep learning

Abstract doi.org/10.14569/IJACSA.2022.0130344 PDF

45

Classification of Autism Spectrum Disorder and Typically Developed Children for Eye Gaze Image Dataset using Convolutional Neural Network

Author 1: Praveena K N Author 2: Mahalakshmi R

Autism is a neurobehavioral problem that hinders to interact with others. Autistic Spectrum Disorder (ASD) is a psychological disorder that hampers procurement of etymological, communication, cognitive, social skills and Stereotypical motor behaviors and capabilities. Recent research revealing that Autism Spectrum Disorder can be diagnosed using gaze structures which has opened… Read full abstract & cite →

Autism spectrum disorder classification fixation maps eye expression visual focus gaze pattern CNN

Abstract doi.org/10.14569/IJACSA.2022.0130345 PDF

46

Technological Affordances and Teaching in EFL Mixed-ability Classes during the COVID-19 Pandemic

Author 1: Waheed M. A. Altohami Author 2: Mohamed Elarabawy Hashem Author 3: Abdulfattah Omar Author 4: Mohamed Saad Mahmoud Hussein

With the widespread of COVID-19 in Saudi Arabia, the educational authorities issued firm directions to convert to virtual classes exploiting the available Learning Management System (LMS). However, during the academic year 2020-2021, the researchers observed that writing EFL instructors at Prince Sattam bin Abdulaziz University (PSAU), Saudi Arabia, faced diverse… Read full abstract & cite →

Technological affordances blackboard writing teaching EFL mixed-ability classes differentiation instruction COVID-19

Abstract doi.org/10.14569/IJACSA.2022.0130346 PDF

47

Deep Learning Applications in Solid Waste Management: A Deep Literature Review

Author 1: Sana Shahab Author 2: Mohd Anjum Author 3: M. Sarosh Umar

Solid waste management (SWM) has recently received more attention, especially in developing countries, for smart and sustainable development. SWM system encompasses various interconnected processes which contain numerous complex operations. Recently, deep learning (DL) has attained momentum in providing alternative computational techniques to determine the solution of various SWM problems. Researchers… Read full abstract & cite →

Solid waste management systematic literature review deep learning convolutional neural networks

Abstract doi.org/10.14569/IJACSA.2022.0130347 PDF

48

Proposal of an Automated Tool for the Application of Sentiment Analysis Techniques in the Context of Marketing

Author 1: Gabriel Elias Chanchi Golondrino Author 2: Manuel Alejandro Ospina Alarcon Author 3: Wilmar Yesid Campo Munoz

Currently, the opinions and comments made by customers on e-commerce portals regarding different products and services have great potential for identifying customer perceptions and preferences. Based on the above, there is a growing need for companies to have automated tools based on sentiment analysis through polarity analysis, which allow the… Read full abstract & cite →

E-commerce marketing opinion mining polarity analysis sentiment analysis

Abstract doi.org/10.14569/IJACSA.2022.0130348 PDF

49

Affinity Degree as Ranking Method

Author 1: Rosyazwani Mohd Rosdan Author 2: Wan Suryani Wan Awang Author 3: Samhani Ismail

In machine learning, ranking is a fundamental problem that attempts to rank a list of things based on their relevance in a certain task. Ranking can be helpful, especially for future decision making. The framework for ranking has been classified into three primary approaches in machine learning: pointwise, pairwise, and… Read full abstract & cite →

Affinity affinity degree rank machine learning

Abstract doi.org/10.14569/IJACSA.2022.0130349 PDF

50

Developing a Credit Card Fraud Detection Model using Machine Learning Approaches

Author 1: Shahnawaz Khan Author 2: Abdullah Alourani Author 3: Bharavi Mishra Author 4: Ashraf Ali Author 5: Mustafa Kamal

The growing application and usage of e-commerce applications have given an exponential rise to the number of online transactions. Though there are several methods for completing online transactions, however, credit cards are most commonly used. The increased number of transactions has given the opportunity to the fraudsters to mislead the… Read full abstract & cite →

Credit card fraud detection neural network support vector machine logistic regression performance measures

Abstract doi.org/10.14569/IJACSA.2022.0130350 PDF

51

Bayesian Hyperparameter Optimization and Ensemble Learning for Machine Learning Models on Software Effort Estimation

Author 1: Robert Marco Author 2: Sakinah Sharifah Syed Ahmad Author 3: Sabrina Ahmad

In recent decades, various software effort estimation (SEE) algorithms have been suggested. Unfortunately, generating high-precision accuracy is still a major challenge in the context of SEE. The use of traditional techniques and parametric approaches is largely inaccurate because they produce biased and subjective accuracy. Meanwhile, none of the machine learning… Read full abstract & cite →

Bayesian optimization adaboost ensemble learning random forest software effort estimation

Abstract doi.org/10.14569/IJACSA.2022.0130351 PDF

52

A Robust Reversible Data Hiding Framework for Video Steganography Applications

Author 1: Manjunath Kamath K Author 2: R. Sanjeev Kunte

Reversible Data Hiding (RDH) is a special form of data hiding approach for data integrity and confidentiality protection where the secret image bits (SI) are embedded into Cover Media (CM) by altering its intrinsic pixel attributes. However, in RDH the CM along with the secret message is recovered at the… Read full abstract & cite →

Reversible data hiding data integrity embedding capacity video steganography

Abstract doi.org/10.14569/IJACSA.2022.0130352 PDF

53

Automated Feature Extraction for Predicting Multiple Sclerosis Patient Disability using Brain MRI

Author 1: Ali M. Muslim Author 2: Syamsiah Mashohor Author 3: Rozi Mahmud Author 4: Gheyath Al Gawwam Author 5: Marsyita binti Hanafi

Predicting Multiple Sclerosis (MS) patient's disability level is an important issue as this could help in better diagnoses and monitoring the progression of the disease. Expanded Disability Status Scale (EDSS) is a common protocol used to manually score the disability level. However, it is time-consuming requires expert knowledge and exposure… Read full abstract & cite →

Multiple sclerosis expanded disability status scale prediction multiple sclerosis disability magnetic resonance imaging

Abstract doi.org/10.14569/IJACSA.2022.0130353 PDF

54

Random and Sequence Workload for Web-Scale Architecture for NFS, GlusterFS and MooseFS Performance Enhancement

Author 1: Mardhani Riasetiawan Author 2: Nashihun Amien

The problem in the data storage method that can support the data processing speed in the network is one of the key problems in big data. As computing speed increases and cluster size increases, I/O and network processes related to intensive data usage cannot keep up with the growth rate… Read full abstract & cite →

component network storage container NFS GlusterFS MooseFS random workload sequence workload

Abstract doi.org/10.14569/IJACSA.2022.0130354 PDF

55

A Data Security Algorithm for the Cloud Computing based on Elliptic Curve Functions and Sha3 Signature

Author 1: Sonia KOTEL Author 2: Fatma SBIAA

The rapid development of distributed system technologies enforces numerous challenges. For example, one of the most critical challenges facing cloud computing is ensuring the security of confidential data during both transfer and storage. Indeed, many techniques are used to enhance data security on cloud computing storage environment. Nevertheless, the most… Read full abstract & cite →

Cloud IaaS simulation upon SimGrid (SCHIaas) elliptic curve encryption one-time pad symmetrical encryption method (OTP) confidentiality integrity

Abstract doi.org/10.14569/IJACSA.2022.0130355 PDF

56

Sentiment Analysis on Customer Satisfaction of Digital Banking in Indonesia

Author 1: Bramanthyo Andrian Author 2: Tiarma Simanungkalit Author 3: Indra Budi Author 4: Alfan Farizki Wicaksono

Southeast Asia, including Indonesia, is seeing an increase in digital banking adoption, owing to changing customer expectations and increasing digital penetration. The pandemic Covid-19 has hastened this tendency for digital transformation. However, customer satisfaction should not be left unmanaged during this transition. This research aims to obtain customer satisfaction of… Read full abstract & cite →

Sentiment analysis ensemble method customer satisfaction digital bank

Abstract doi.org/10.14569/IJACSA.2022.0130356 PDF

57

System Architecture for Brain-Computer Interface based on Machine Learning and Internet of Things

Author 1: Shahanawaj Ahamad

Brain functions are required to be read for curing neurological illness. Brain-Computer Interface (BCI) connects the brain to the digital world for brain signals receiving, recording, processing, and comprehending. With a Brain-Computer Interface (BCI), the information from the user’s brain is fed into actuation devices, which then carry out the… Read full abstract & cite →

Brain-computer interface machine learning internet of things EEG system architecture

Abstract doi.org/10.14569/IJACSA.2022.0130357 PDF

58

Wave Parameters Prediction for Wave Energy Converter Site using Long Short-Term Memory

Author 1: Manzoor Ahmed Hashmani Author 2: Muhammad Umair Author 3: Horio Keiichi

Forecasting the behaviour of various wave parameters is crucial for the safety of maritime operations as well as for optimal operations of wave energy converter (WEC) sites. For coastal WEC sites, the wave parameters of interest are significant wave height (Hs) and peak wave period (Tp). Numerical and statistical modeling… Read full abstract & cite →

Wave energy converter significant wave height peak wave period LSTM

Abstract doi.org/10.14569/IJACSA.2022.0130358 PDF

59

Dynamic User Activity Prediction using Contextual Service Matching Mechanism

Author 1: M. Subramanyam Author 2: S. S. Parthasarathy

The significance of context-based services is significantly increasing with the advancement of integrated technologies of sensors and ubiquitous technologies. The existing approaches are reviewed to find out that identification of user's activity has more scope of improvement. After reviewing the current literature towards context-based methodologies, it is found that existing… Read full abstract & cite →

Contextual information service discovery prediction ubiquitous computing user activity

Abstract doi.org/10.14569/IJACSA.2022.0130359 PDF

60

Progressive 3-Layered Block Architecture for Image Classification

Author 1: Munmi Gogoi Author 2: Shahin Ara Begum

Convolutional Neural Networks (CNNs) have been used to handle a wide range of computer vision problems, including image classification and object detection. Image classification refers to automatically classifying a huge number of images and various techniques have been developed for accomplishing this goal. The focus of this article is to… Read full abstract & cite →

CNN transfer learning progressive resizing PReLU deep network

Abstract doi.org/10.14569/IJACSA.2022.0130360 PDF

61

Face Recognition using Principal Component Analysis and Clustered Self-Organizing Map

Author 1: Jasem Almotiri

Face recognition is one of the cornerstones of the face processing schemes that composed the contemporary intelligent vision-based interactive systems between computers and humans. Instead of using neurons of the Self-Organized Map (SOM) neural network to cluster the facial data, in this work, we applied an agglomerative hierarchical clustering to… Read full abstract & cite →

Artificial intelligence machine learning clustering agglomerative hierarchical clustering face recognition neural network self-organizing map principal component analysis

Abstract doi.org/10.14569/IJACSA.2022.0130361 PDF

62

Performance Evaluation of Safe Avoidance Time and Safety Message Dissemination for Vehicle to Vehicle (V2V) Communication in LTE C-V2X

Author 1: Hakimah Abdul Halim Author 2: Azizul Rahman Mohd Shariff Author 3: Suzi Iryanti Fadilah Author 4: Fatima Karim

VANET has many opportunities to manage vehicle safety on the road efficiently. The standards from European Telecommunications Standards Institute (ETSI) for Intelligent Transport System (ITS) provide necessary upper-layer specifications for safety message dissemination between vehicles using Cooperative Aware Messages (CAM) and Decentralized Event Notification Message (DENM). Besides, mobile radio technology… Read full abstract & cite →

Time gap safe distance collision VANET CAM

Abstract doi.org/10.14569/IJACSA.2022.0130362 PDF

63

Design and Implementation of a Low-cost CO₂ Monitoring and Control System Prototype to Optimize Ventilation Levels in Closed Spaces

Author 1: Ramces Cavallini-Rodriguez Author 2: Jesus Espinoza-Valera Author 3: Carlos Sotomayor-Beltran

High concentrations ofCO₂ levels are significantly present in closed environments that do not have proper venti-lation. Such high concentrations generate negative health con-sequences such as dizziness, headaches and various respiratory problems. For this reason, the design and implementation of a low-costCO₂ monitoring and control prototype is proposed to optimize ventilation… Read full abstract & cite →

CO₂ Monitoring IoT Low-cost Indoor Ventilation System NodeMCU Open Source Software

Abstract doi.org/10.14569/IJACSA.2022.0130363 PDF

64

BCSM: A BlockChain-based Security Manager for Big Data

Author 1: Hanan E. Alhazmi Author 2: Fathy E. Eassa

The amount of data generated globally is increasing rapidly. This growth in big data poses security and privacy issues. Organizations that collect data from numerous sources could face legal or business consequences resulting from a security breach and the exposure of sensitive information. The traditional tools used for decades to… Read full abstract & cite →

Big data security blockchain access control hy-perledger fabric

Abstract doi.org/10.14569/IJACSA.2022.0130364 PDF

65

A Review-based Context-Aware Recommender Systems: Using Custom NER and Factorization Machines

Author 1: Rabie Madani Author 2: Abderrahmane Ez-zahout

Recommender Systems depend fundamentally on user feedback to provide recommendation. Classical Recom-menders are based only on historical data and also suffer from several problems linked to the lack of data such as sparsity. Users’ reviews represent a massive amount of valuable and rich knowledge information, but they are still ignored… Read full abstract & cite →

Recommender systems context aware recommender systems factorization machines bidirectional encoder representa-tions from transformers named entity recognition

Abstract doi.org/10.14569/IJACSA.2022.0130365 PDF

66

A Computer Vision-based System for Surgical Waste Detection

Author 1: Md. Ferdous Author 2: Sk. Md. Masudul Ahsan

The world population is going through a difficult time due to the pandemic of COVID-19 while other disasters prevail. However, a new environmental catastrophe is coming because surgical masks and gloves are putting down anywhere, leading to the massive spreading of COVID-19 and environmental disasters. A significant number of masks… Read full abstract & cite →

COVID-19 You Only Look Once (YOLO) surgical waste deep learning image dataset real-time detection

Abstract doi.org/10.14569/IJACSA.2022.0130366 PDF

67

Human-Computer Interaction in Mobile Learning: A Review

Author 1: Nurul Amirah Mashudi Author 2: Mohd Azri Mohd Izhar Author 3: Siti Armiza Mohd Aris

Mobile learning mainly concerns mobility and high-quality education, regardless of location or time. Human-computer interaction comprises the concepts and methods in which humans interact with computers, including designing, im-plementing, and evaluating computer systems that are accessible and provide an intuitive user interface. Some studies showed that mobile learning could help… Read full abstract & cite →

Human-computer interaction education technol-ogy digital technology mobile learning e-learning

Abstract doi.org/10.14569/IJACSA.2022.0130367 PDF

68

A Secure and Trusted Fog Computing Approach based on Blockchain and Identity Federation for a Granular Access Control in IoT Environments

Author 1: Samia EL HADDOUTI Author 2: Mohamed Dafir ECH-CHERIF EL KETTANI

Fog computing is a new computing paradigm that is an extension of the standard cloud computing model, which can be adopted as a cost effective strategy for managing connected objects , by enabling real-time computing and communication for analytical and decision making. Nonetheless, even though Fog-based Internet of Things networks… Read full abstract & cite →

Access control blockchain fog computing identity federation IoT smart contracts

Abstract doi.org/10.14569/IJACSA.2022.0130368 PDF

69

Intraday Trading Strategy based on Gated Recurrent Unit and Convolutional Neural Network: Forecasting Daily Price Direction

Author 1: Nabil MABROUK Author 2: Marouane CHIHAB Author 3: Zakaria HACHKAR Author 4: Younes CHIHAB

Forex or FX is the short form of the Foreign Exchange Market, it is known as the largest financial market in the world where Investors can buy a certain amount of currency and hold it on until the exchange rate moves, then sell it to make money. This operation is… Read full abstract & cite →

Forex trading machine learning deep learning random forest technical indicators technical rules convolutional neural network gated recurrent unit

Abstract doi.org/10.14569/IJACSA.2022.0130369 PDF

70

Remote Healthcare Monitoring using Expert System

Author 1: Prajoona Valsalan Author 2: Najam ul Hasan Author 3: Imran Baig Author 4: Manaf Zghaibeh

With the introduction of the novel coronavirus and the ensuing epidemic, health care has become a primary priority for all governments. In this context, the best course of action is to implement an Internet of Things (IoT)-based remote health monitoring system. As a result, IoT systems have attracted significant attention… Read full abstract & cite →

Internet of Things (IoT) remote health care mon-itoring wearable sensors fuzzy logic

Abstract doi.org/10.14569/IJACSA.2022.0130370 PDF

71

An End-to-End Method to Extract Information from Vietnamese ID Card Images

Author 1: Khanh Nguyen-Trong

Information extraction from ID cards plays an important role in many daily activities, such as legal, banking, insurance, or health services. However, in many developing countries, such as Vietnam, it is mostly carried out manually, which is time-consuming, tedious, and may be prone to errors. Therefore, in this paper, we… Read full abstract & cite →

Optical character recognition U-Net network VGG16 network CRAFT network rebia network

Abstract doi.org/10.14569/IJACSA.2022.0130371 PDF

72

A New Text Summarization Approach based on Relative Entropy and Document Decomposition

Author 1: Nawaf Alharbe Author 2: Mohamed Ali Rakrouki Author 3: Abeer Aljohani Author 4: Mashael Khayyat

In the era of the fourth industrial revolution, the rapid relay on using the Internet made online resources explosively grow. This revolution emphasized the demand for new approaches to utilize the use of online resources such as texts. Thus, the difficulty to compare unstructured resources (text) is urging the demand… Read full abstract & cite →

Natural language processing text summarization extractive methods relative entropy

Abstract doi.org/10.14569/IJACSA.2022.0130372 PDF

73

A Game Theory-based Virtual Machine Placement Algorithm in Hybrid Cloud Environment

Author 1: Nawaf Alharbe Author 2: Mohamed Ali Rakrouki

This paper deals with the problem of virtual ma-chine placement in hybrid cloud situation from an economic and QoS perspectives. Because excessive investment of resources in cloud computing environment will result in resources waste, and too few resources can generate QoS issues. This paper uses a game theory model to… Read full abstract & cite →

Cloud computing virtual machine placement game theory quality of service load balancing energy consumption

Abstract doi.org/10.14569/IJACSA.2022.0130373 PDF

74

Ensuring Privacy Preservation Access Control Mechanism in Cloud based on Identity based Derived Key

Author 1: Suresha D Author 2: K Karibasappa Author 3: Shivamurthy

Cloud computing is a dominant technology that involves massive amounts of data storage and access via the internet. Because there is a large amount of data stored in data centers, it is critical to implement appropriate access control mechanisms over data stored in a cloud. Today, there are numerous access… Read full abstract & cite →

Access control cloud storage confidentiality data origin authentication key derivation

Abstract doi.org/10.14569/IJACSA.2022.0130374 PDF

75

Multiple Hydrophone Arrays based Underwater Localization with Matching Field Processing

Author 1: Shuo Jin Author 2: Xiukui Li

Matched field processing technology (MFP) is a general passive localization method for underwater sound source due to its advantages in ultra-long distance positioning. In this paper, assume the total number of hydrophones remains unchanged, a single hydrophone array is divided into multiple hydrophone sub-arrays for independent positioning, and the positioning… Read full abstract & cite →

Matched Field Processing (MFP) hydrophone ar-ray source localization underwater acoustic

Abstract doi.org/10.14569/IJACSA.2022.0130375 PDF

76

High-quality Voxel Reconstruction from Stereoscopic Images

Author 1: Arturo Navarro Author 2: Manuel Loaiza

Volumetric reconstruction from one or multiple RGB images has shown significant advances in recent years, but the approaches used so far do not take advantage of stereoscopic features such as distance blur, perspective disparity, textures, etc. that are useful to shape the object volumes. Our study is to evaluate a… Read full abstract & cite →

Voxel reconstruction stereoscopy convolutional neural networks disparity maps

Abstract doi.org/10.14569/IJACSA.2022.0130376 PDF

77

Structural Information Retrieval in XML Documents: A Graph-based Approach

Author 1: Imane Belahyane Author 2: Mouad Mammass Author 3: Hasna Abioui Author 4: Assmaa Moutaoukkil Author 5: Ali Idarrou

Although retrieval engines are becoming more and more functional and efficient, they still have the drawback of not being able to locate the relevant documentary granularity, which results in ignoring the structural aspect. In the context of XML document, Information Retrieval Systems allow to return the user’s documentary granules. Several… Read full abstract & cite →

Semi-structured document XML document largest common sub-graph structural Information retrieval

Abstract doi.org/10.14569/IJACSA.2022.0130377 PDF

78

Dynamic Support Range based Rare Pattern Mining over Data Streams

Author 1: Sunitha Vanamala Author 2: L. Padma Sree Author 3: S. Durga Bhavani

Rare itemset mining is a relatively recent topic of study in data mining. In certain application domains, such as online banking transaction analysis, sensor data analysis, and stock market analysis, rare patterns are patterns with low support and high confidence that are extremely interesting when compared to frequent patterns. Numerous… Read full abstract & cite →

Depth first search Hybrid-Eclat algorithm SRP-tree itemset frequent-pattern support rare-pattern support pivot data stream rare itemset infrequent itemset

Abstract doi.org/10.14569/IJACSA.2022.0130378 PDF

79

Energy Efficient Hop-by-Hop Retransmission and Congestion Mitigation of an Optimum Routing and Clustering Protocol for WSNs

Author 1: Prakash K Sonwalkar Author 2: Vijay Kalmani

In the past few decades, wireless sensor networks, which take a growing number of applications in the surroundings further than the human reach, have risen in popularity. Various routing pseudo codes have been suggested for network optimization, emphasizing energy efficiency, network longevity, and clustering processes. To the existing load balancing… Read full abstract & cite →

Wireless sensor network network lifetime clustering strategies clustering process

Abstract doi.org/10.14569/IJACSA.2022.0130379 PDF

80

A Novel Approach for Small Object Detection in Medical Images through Deep Ensemble Convolution Neural Network

Author 1: J. Maria Arockia Dass Author 2: S. Magesh Kumar

Small objects detection in medical image becomes an interesting field of research that helps the medical practitioners to focus on in-depth evaluation of diseases. The accurate localization and classification of objects face tremendous difficulty due to lower intensity of the images and distraction of pixel points that vary the decision… Read full abstract & cite →

Medical image processing convolution neural network lung tumor detection early prediction image enhancement

Abstract doi.org/10.14569/IJACSA.2022.0130380 PDF

81

Software Reliability Prediction by using Deep Learning Technique

Author 1: Shivani Yadav Author 2: Balkishan

The importance of software systems and their impact on all sectors of society is undeniable. Furthermore, it is increasing every day as more services get digitized. This necessitates the need for evolution of development and quality processes to deliver reliable software. For reliable software, one of the important criteria is… Read full abstract & cite →

Software reliability deep learning performance metrics prediction dense neural network fault prediction

Abstract doi.org/10.14569/IJACSA.2022.0130381 PDF

82

Performance Evaluation of Temporal and Frequential Analysis Approaches of Electromyographic Signals for Gestures Recognition using Neural Networks

Author 1: Edwar Jacinto Gomez Author 2: Fredy H. Martinez Sarmiento Author 3: Fernando Martinez Santa

Now-a-days, human-machine interfaces are increasingly intuitive and straightforward to design, but there is difficulty capturing electromyographic signal data using the least amount of hardware. This work takes the signals of a human forearm as input parameters describing a series of five gestures, using a dataset of 8 channels of electromyographic… Read full abstract & cite →

Neural networks electromyographic signals Myo armband tensorflow fast fourier transform

Abstract doi.org/10.14569/IJACSA.2022.0130382 PDF