IJACSA Vol. 13 Issue 6 (2022)

1

Solutions to the Endless Addition of Transaction Volume in Blockchain

Author 1: Hongping Cao Author 2: Hongxing Cao

In blockchain system, the problem of endless addition of transaction volume results in larger space occupation, heavier network transmission burden and the like. But the way of abandoning historical data is hindered by the characteristic of blockchain-tamper-proof. To solve this problem, this dissertation takes bitcoin system as an example, and… Read full abstract & cite →

Blockchain endless addition expired transactions substitute storage problem consensus algorithm

Abstract doi.org/10.14569/IJACSA.2022.0130601 PDF

2

Blockchain Privacy Data Access Control Method Based on Cloud Platform Data

Author 1: Biying Sun Author 2: Qian Dang Author 3: Yu Qiu Author 4: Lei Yan Author 5: Chunhui Du Author 6: Xiaoqin Liu

With the improvement of digital informatization and openness of the smart grid, the security of all kinds of sensitive and private data in the power grid is inevitably facing severe threats and challenges. In this paper, we propose a privacy protection scheme for multidimensional data aggregation and access control in… Read full abstract & cite →

Cloud platform blockchain private data data encryption access control

Abstract doi.org/10.14569/IJACSA.2022.0130602 PDF

3

Deep Convolution Neural Networks for Image Classification

Author 1: Arun D. Kulkarni

Deep learning is a highly active area of research in machine learning community. Deep Convolutional Neural Networks (DCNNs) present a machine learning tool that enables the computer to learn from image samples and extract internal representations or properties underlying grouping or categories of the images. DCNNs have been used successfully… Read full abstract & cite →

Deep learning convolutional neural networks image classification machine learning object recognition

Abstract doi.org/10.14569/IJACSA.2022.0130603 PDF

4

An Improved Genetic Algorithm for the Multi-temperature Food Distribution with Multi-Station

Author 1: Bo Wang Author 2: Jiangpo Wei Author 3: Bin Lv Author 4: Ying Song

This paper studies on the food distribution route planning problem for improving the customer satisfaction and the operator cost of food providers. In the first, the problem is formulated to a combinatorial optimization which is hard to be solved. Thus, a polynomial time algorithm is proposed to solve the problem… Read full abstract & cite →

Logistics genetic algorithm neighbourhood search food distribution

Abstract doi.org/10.14569/IJACSA.2022.0130604 PDF

5

An Efficient System for Real-time Mobile Smart Device-based Insect Detection

Author 1: Thanh-Nghi Doan

In recent years, the rapid development of many pests and diseases has caused heavy damage to the agricultural production of many countries. However, it is difficult for farmers to accurately identify each type of insect pest, and yet they have used a large number of pesticides indiscriminately, causing serious environmental… Read full abstract & cite →

Deep learning real-time insect pest detection YOLOv5 mobile devices

Abstract doi.org/10.14569/IJACSA.2022.0130605 PDF

6

Novel Framework for Enhanced Learning-based Classification of Lesion in Diabetic Retinopathy

Author 1: Prakruthi M K Author 2: Komarasamy G

Diabetic retinopathy is an adverse medical condition resulting from a high level of blood sugar potentially affecting the retina and leading to permanent vision loss in its advanced stage of progression. A literature review is conducted to assess the effectiveness of existing approaches to find that Convolution Neural Network (CNN)… Read full abstract & cite →

Diabetic retinopathy convolution neural network classification fundus retinal image multi-class categorization

Abstract doi.org/10.14569/IJACSA.2022.0130606 PDF

7

Hybrid Pelican Komodo Algorithm

Author 1: Purba Daru Kusuma Author 2: Ashri Dinimaharawati

In this work, a new metaheuristic algorithm, namely the hybrid pelican Komodo algorithm (HPKA), has been proposed. This algorithm is developed by hybridizing two shortcoming metaheuristic algorithms: the Pelican Optimization Algorithm (POA) and Komodo Mlipir Algorithm (KMA). Through hybridization, the proposed algorithm is designed to adapt the advantages of both… Read full abstract & cite →

Metaheuristic Pelican Optimization Algorithm Komodo Mlipir Algorithm portfolio optimization algorithm LQ45 index

Abstract doi.org/10.14569/IJACSA.2022.0130607 PDF

8

Users’ Acceptance and Sense of Presence towards VR Application with Stimulus Effectors on a Stationary Bicycle for Physical Training

Author 1: Imran Bin Mahalil Author 2: Azmi Bin Mohd Yusof Author 3: Nazrita Binti Ibrahim Author 4: Eze Manzura Binti Mohd Mahidin Author 5: Ng Hui Hwa

This research’s objective is to identify lacking elements in various effectors utilized in current physical training for cyclists. This encompasses both virtual reality-based system and indoor conventional training. Another objective is to identify user’s acceptance from the use of vProCycle; which acts as the primary instrument of this study. Virtual… Read full abstract & cite →

Virtual reality sense of presence technology acceptance stimulus effectors

Abstract doi.org/10.14569/IJACSA.2022.0130608 PDF

9

Fast and Robust Fuzzy-based Hybrid Data-level Method to Handle Class Imbalance

Author 1: Kamlesh Upadhyay Author 2: Prabhjot Kaur Author 3: Ritu Sachdeva

Conventional classification algorithms do not provide accurate results when the data distribution (class sizes) is unequal or data is corrupted with noise because the results are biased towards the bigger class. In many real life cases, there is a requirement to uncover unusual/smaller classes. There are a bundle of examples… Read full abstract & cite →

Data level approaches undersampling oversampling fuzzy concept imbalanced data-sets classification

Abstract doi.org/10.14569/IJACSA.2022.0130609 PDF

10

Proctoring and Non-proctoring Systems

Author 1: Yusring Sanusi Baso

This research describes learning achievement assessment technology, especially proctor technology. This study compares and contrasts proctoring and non-proctoring procedures used for online exams. The sample case used was the test scores of students enrolled in Hasanuddin University's Indonesian Arabic translation course. The research method used was a non-experimental quantitative method… Read full abstract & cite →

Proctoring system comparative study Arabic translating course online exam

Abstract doi.org/10.14569/IJACSA.2022.0130610 PDF

11

Groundnuts Leaf Disease Recognition using Neural Network with Progressive Resizing

Author 1: Rajnish M. Rakholia Author 2: Jinal H. Tailor Author 3: Jatinderkumar R. Saini Author 4: Jasleen Kaur Author 5: Hardik Pahuja

Groundnut is an important oilseed crop in the world, and India is the second-largest producer of groundnuts. This crop is prone to attack by numerous diseases which is one of the most important factors contributing to the loss of productivity and degradation in the quality; both of these finally result… Read full abstract & cite →

Groundnut leaf disease recognition progressive resizing deep learning neural network

Abstract doi.org/10.14569/IJACSA.2022.0130611 PDF

12

A Proposed Architecture for Smart Home Systems Based on IoT, Context-awareness and Cloud Computing

Author 1: Samah A. Z. Hassan Author 2: Ahmed M. Eassa

The main objective of this paper is to propose a simple, low cost, reliable and scalable architecture for building Smart Home Systems (SHSs) that can be used to remotely automate and control home appliances, using microcontroller. The proposed architecture aims to take advantage of emerging technologies to make it easier… Read full abstract & cite →

Smart Home Systems (SHS) Internet of Things (IoT) Context-awareness (CA) Cloud Computing (CC) Rule-based Event Processing Systems (RbEPS) Smart Home System architecture

Abstract doi.org/10.14569/IJACSA.2022.0130612 PDF

13

Shallow Net for COVID-19 Classification Based on Biomarkers

Author 1: Mahmoud B. Rokaya

In many cases, especially at the beginning of epidemic disaster, it is very important to be able to determine the severity of illness of a given patient. Picking up the severe status will help in directing the effort in a proper way. At the beginning, the number of classified status… Read full abstract & cite →

COVID-19 pandemic shallow net deep learning decision trees ROC curve PCA analysis biomarkers

Abstract doi.org/10.14569/IJACSA.2022.0130613 PDF

14

Advanced Medicinal Plant Classification and Bioactivity Identification Based on Dense Net Architecture

Author 1: Banita Pukhrambam Author 2: Arun Sahayadhas

Plant species identification helps a wide range of stakeholders, including forestry services, botanists, taxonomists, physicians and pharmaceutical laboratories, endangered species organizations, the government, and the general public. As a result, there has been a spike in interest in developing automated plant species recognition systems. Using computer vision and deep learning… Read full abstract & cite →

Indian medicinal plants convolutional neural network DenseNet IMPPAT dataset

Abstract doi.org/10.14569/IJACSA.2022.0130614 PDF

15

RETRACTED: Short Words Signature Verification using Markov Chain and Fisher Linear Discriminant Approach

Author 1: M. Nazir Author 2: Surendra Singh Choudhary

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IJACSA`s Publication Principles. We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this… Read full abstract & cite →

Human signature verification morphological directional transformations structuring element optical character recognition fisher linear discriminant

Abstract doi.org/10.14569/IJACSA.2022.0130615 PDF

16

Face Mask Wear Detection by using Facial Recognition System for Entrance Authorization

Author 1: Munirah Ahmad Azraai Author 2: Ridhwan Rani Author 3: Raja Mariatul Qibtiah Author 4: Hidayah Samian

A Face Mask Wear Detection Device for Entrance Authorization is designed to ensure that everyone wears a face mask at all times in a confined space. It is one of the easiest methods to lower the rate of coronavirus infection and hence save lives. Asthma, high blood pressure, heart failure… Read full abstract & cite →

Face recognition face detection face mask coronavirus intelligent system

Abstract doi.org/10.14569/IJACSA.2022.0130616 PDF

17

A Novel Approach to Video Compression using Region of Interest (ROI) Method on Video Surveillance Systems

Author 1: DewiAnggraini Puspa Hapsari Author 2: Sarifuddin Madenda Author 3: Muhammad Subali Author 4: Aini Suri Talita

With the increasing of criminal actions, people use various surveillance techniques to create a sense of security. One of the most widely used surveillance technique is installing CCTV cameras at various locations. On the surveillance systems, there are other supporting devices apart from CCTV cameras. One of such supporting devices… Read full abstract & cite →

Compression decompression foreground region of interest video surveillance systems

Abstract doi.org/10.14569/IJACSA.2022.0130617 PDF

18

Data Augmentation Techniques on Chilly Plants to Classify Healthy and Bacterial Blight Disease Leaves

Author 1: Sudeepthi Govathoti Author 2: A Mallikarjuna Reddy Author 3: Deepthi Kamidi Author 4: G BalaKrishna Author 5: Sri Silpa Padmanabhuni Author 6: Pradeepini Gera

Designing an automation system for the agriculture sector is difficult using machine learning approach. So many researchers proposed deep learning system which requires huge amount of data for training the system. The proposed system suggests that geometric transformations on the original dataset help the system to generate more images that… Read full abstract & cite →

Image augmentation geometric transformations transfer learning neural style learning residual network

Abstract doi.org/10.14569/IJACSA.2022.0130618 PDF

19

Towards the Smart Industry for the Sustainability through Open Innovation based on ITSM (Information Technology Service Management)

Author 1: Asti Amalia Nur Fajrillah Author 2: Muharman Lubis Author 3: Arariko Rezeki Pasa

The Indonesian coffee industry has become a trend that has a strategic role and potential for the livelihoods of the business people in it, as well as Indonesia's economic growth. One of the trends that stole attention is the concept of smart industry, the concept of a digital-based industry that… Read full abstract & cite →

Smart industry Ward and Peppard IS/IT strateg

Abstract doi.org/10.14569/IJACSA.2022.0130619 PDF

20

Application of Machine Learning Algorithms in Coronary Heart Disease: A Systematic Literature Review and Meta-Analysis

Author 1: Solomon Kutiame Author 2: Richard Millham Author 3: Adebayor Felix Adekoya Author 4: Mark Tettey Author 5: Benjamin Asubam Weyori Author 6: Peter Appiahene

This systematic review relied on the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) statement and 37 relevant studies. The literature search used search engines including PubMed, Hindawi, SCOPUS, IEEE Xplore, Web of Science, Google Scholar, Wiley Online, Jstor, Taylor and Francis, Ebscohost, and ScienceDirect. This study focused on… Read full abstract & cite →

Coronary heart diseases algorithms datasets ensembling algorithms machine learning artificial intelligence

Abstract doi.org/10.14569/IJACSA.2022.0130620 PDF

21

Vision based Human Activity Recognition using Deep Neural Network Framework

Author 1: Jitha Janardhanan Author 2: S. Umamaheswari

Human Activity Recognition (HAR) has become a well-liked subject in study as of its broad application. With the growth of deep learning, novel thoughts have emerged to tackle HAR issues. One example is recognizing human behaviors without exposing a person's identify. Advanced computer vision approaches, on the other hand, are… Read full abstract & cite →

Activity recognition long short-term memory (LSTM) deep learning feature extraction

Abstract doi.org/10.14569/IJACSA.2022.0130621 PDF

22

Internal Works Quality Assessment for Wall Evenness using Vision-based Sensor on a Mecanum-Wheeled Mobile Robot

Author 1: Ahmad Zaki Shukor Author 2: Muhammad Herman bin Jamaluddin Author 3: Mohd Zulkifli bin Ramli Author 4: Ghazali bin Omar Author 5: Syed Hazni Abd Ghani

Robotics in the construction industry has been used for a few decades up to this present time. There are various advanced robotics mechanisms or technologies developed for specific construction task to assist construction. However, not many researches have been found on the quality assessment of the finished structures. This research… Read full abstract & cite →

Construction industry standards internal works quality assessment vision Mecanum wheels

Abstract doi.org/10.14569/IJACSA.2022.0130622 PDF

23

The 4W Framework of the Online Social Community Model for Satisfying the Unmet Needs of Older Adults

Author 1: Farhat Mahmoud Embarak Author 2: Nor Azman Ismail Author 3: Alhuseen Omar Alsayed Author 4: Mohamed Bashir Buhalfaya Author 5: Abdurrahman Abdulla Younes Author 6: Blha Hassan Naser

Human's cherished and respectable desires could be fulfilled by social integration through interaction with their friends and families. These kinds of interactions are critical for the elderly, particularly for someone who has retired. Online social communities could assist them and offer a beneficial impact on the elderly. However, because the… Read full abstract & cite →

Online social community elderly’s unmet needs 4w framework elderly’s requirements

Abstract doi.org/10.14569/IJACSA.2022.0130623 PDF

24

Bayesian Network Modelling for Improved Knowledge Management of the Expert Model in the Intelligent Tutoring System

Author 1: Fatima-Zohra Hibbi Author 2: Otman Abdoun Author 3: El Khatir Haimoudi

The expert module is an essential part of the intelligent tutoring system. This module uses only declarative knowledge, excluding other types of domain knowledge: procedural and conditional. This elimination makes the expert module very delicate. To solve this issue, the authors propose to embed knowledge processing into the expert model… Read full abstract & cite →

Smart tutoring system expert model knowledge processing Bayesian network

Abstract doi.org/10.14569/IJACSA.2022.0130624 PDF

25

Digital Storytelling Framework to Assist Young Children in Understanding Dementia

Author 1: Noreena Yi-Chin Liu Author 2: Nooralisa M Tuah Author 3: Kevin Chi-Jen Miao

A digital storytelling tool is one of the interactive technologies that can help youngsters better comprehend Dementia. Dementia makes it difficult for older people to maintain their daily routines. They have difficulties in effectively communicating with those around them. Similarly, children whose grandparents have Dementia will struggle to understand their… Read full abstract & cite →

Digital storytelling Dementia interactive learning entertainment experience

Abstract doi.org/10.14569/IJACSA.2022.0130625 PDF

26

Optimization of Small Sized File Access Efficiency in Hadoop Distributed File System by Integrating Virtual File System Layer

Author 1: Neeta Alange Author 2: Anjali Mathur

Storage for large datasets, handling data in different formats and data getting generated with high speed are the major highlights of the Hadoop because of which the Hadoop got invented. Hadoop is the solution for the big data problems as discussed above. In order to give the improved solution (in… Read full abstract & cite →

HDFS Small sizes files virtual file system bucket chain ensemble classifiers text classification

Abstract doi.org/10.14569/IJACSA.2022.0130626 PDF

27

Survey on Highly Imbalanced Multi-class Data

Author 1: Mohd Hakim Abdul Hamid Author 2: Marina Yusoff Author 3: Azlinah Mohamed

Machine learning technology has a massive impact on society because it offers solutions to solve many complicated problems like classification, clustering analysis, and predictions, especially during the COVID-19 pandemic. Data distribution in machine learning has been an essential aspect in providing unbiased solutions. From the earliest literatures published on highly… Read full abstract & cite →

Imbalanced data highly imbalanced data highly imbalanced multi-class data strategies

Abstract doi.org/10.14569/IJACSA.2022.0130627 PDF

28

Synthetic Data Augmentation of Tomato Plant Leaf using Meta Intelligent Generative Adversarial Network: Milgan

Author 1: Sri Silpa Padmanabhuni Author 2: Pradeepini Gera

Agriculture is one of the most famous case studies in deep learning. Most researchers want to detect different diseases at the early stages of cultivation to save the farmer's economy. The deep learning technique needs more data to develop an accurate system. Researchers generated more synthetic data using basic image… Read full abstract & cite →

Basic image operations meta-learning techniques generator discriminator synthetic data sampling techniques latent points kernel filters

Abstract doi.org/10.14569/IJACSA.2022.0130628 PDF

29

Comparison of Path Planning between Improved Informed and Uninformed Algorithms for Mobile Robot

Author 1: Mohamed Amr Author 2: Ahmed Bahgat Author 3: Hassan Rashad Author 4: Azza Ibrahim

This work is concerned with the Path Planning Algorithms (PPA), which hold an important place in Robotics navigation. Navigation has become indispensable to most modern inventions. Mobile robots have to move to a relevant task point in order to achieve the tasks assigned to them. The actions, which are planned… Read full abstract & cite →

Mobile robots informed algorithm uninformed algorithm path planning

Abstract doi.org/10.14569/IJACSA.2022.0130629 PDF

30

Modified Gradient Algorithm based Noise Subspace Estimation with Full Rank Update for Blind CSI Estimator in OFDM Systems

Author 1: Saravanan Subramanian Author 2: Govind R. Kadambi

This paper presents a modified Gradient-based method to directly compute the noise subspace iteratively from the received Orthogonal Frequency Division Multiplexing (OFDM) symbols to estimate Channel State Information (CSI). By invoking the matrix inversion lemma which is extensively used in Recursive Least Square (RLS) algorithms, the proposed computationally efficient method… Read full abstract & cite →

Orthogonal Frequency Division Multiplexing (OFDM) Carrier Frequency Offset (CFO) Channel State Information (CSI) Recursive Least Square (RLS) Singular Value Decomposition (SVD) Channel Impulse Response (CIR) BPSK QPSK QAM

Abstract doi.org/10.14569/IJACSA.2022.0130630 PDF

31

COVID-19: Challenges and Opportunities in the Online University Education

Author 1: Irena Valova Author 2: Tsvetelina Mladenova

The COVID-19 pandemic had a very severe impact on the education both in schools and in universities. In the span of several weeks, educators around the world had to transform completely the teaching method and students had to adapt to the new form of learning. The following article reviews the… Read full abstract & cite →

e-Learning online learning students' attitude to e-learning pandemic outbreak COVID-19

Abstract doi.org/10.14569/IJACSA.2022.0130631 PDF

32

Multi-modal Brain MR Image Registration using A Novel Local Binary Descriptor based on Statistical Approach

Author 1: Thuvanan Borvornvitchotikarn

Medical image registration (MIR) has played an important role in medical image processing during the last decade. Its main objective is to integrate information inherent in two images, from different scanning sources, of the same object for guiding medical treatments such as diagnostic, surgery and therapy. A challenging task of… Read full abstract & cite →

Local binary descriptor multi-modal image registration statistical approach medical image registration similarity measure

Abstract doi.org/10.14569/IJACSA.2022.0130632 PDF

33

Core Elements Impacting Cloud Adoption in the Government of Saudi Arabia

Author 1: Norah Alrebdi Author 2: Nabeel Khan

The Kingdom of Saudi Arabia is taking rapid steps towards digital transformation in the field of government services. Cloud computing adoption may be the next step that supports this digital transformation to providing many features and reducing costs. Therefore, this paper will present multiple factors that may make it difficult… Read full abstract & cite →

Cloud computing e-governance cloud computing adoption smart government Saudi Arabia vision 2030

Abstract doi.org/10.14569/IJACSA.2022.0130633 PDF

34

Decentralized Tribrid Adaptive Control Strategy for Simultaneous Formation and Flocking Configurations of Multi-agent System

Author 1: B. K. Swathi Prasad Author 2: Hariharan Ramasangu Author 3: Govind R. Kadambi

This paper focuses on the development of a tribrid control strategy for leader-follower flocking of multi-agents in octagonal polygonal formation. The tribrid approach encompasses Reinforcement Learning (RL), centralized and de-centralized control strategies. While the RL for multi-agent polygonal formation addresses the issues of scalability, the centralized strategy maintains the inter-agent… Read full abstract & cite →

Simultaneous flocking polygonal formation decentralized hybrid adaptive control strategy simulation

Abstract doi.org/10.14569/IJACSA.2022.0130634 PDF

35

Merged Dataset Creation Method Between Thermal Infrared and Microwave Radiometers Onboard Satellites

Author 1: Kohei Arai

Merged dataset creation method between Thermal Infrared (TIR) and Microwave Scanning Radiometer (MSR) onboard remote sensing satellites is proposed. One of the key issues here is the relation between thermal and microwave emissions from the same observation target in particular, Sea Surface Temperature (SST). An example of Tropical Rainfall Measuring… Read full abstract & cite →

Wavelets VIRS/SST TMI/SST MRA Daubechies TRMM TIR MSR

Abstract doi.org/10.14569/IJACSA.2022.0130635 PDF

36

A Hybrid RNN based Deep Learning Approach for Text Classification

Author 1: Pramod Sunagar Author 2: Anita Kanavalli

Despite the fact that text classification has grown in relevance over the last decade, there are a plethora of approaches that have been created to meet the difficulties related with text classification. To handle the complexities involved in the text classification process, the focus has shifted away from traditional machine… Read full abstract & cite →

F1 score gated recurrent unit GloVe long - short term memory precision recall recurrent neural network region-based convolutional neural network text classification

Abstract doi.org/10.14569/IJACSA.2022.0130636 PDF

37

Deep Learning Approach for Masked Face Identification

Author 1: Maad Shatnawi Author 2: Nahla Almenhali Author 3: Mitha Alhammadi Author 4: Khawla Alhanaee

Covid-19 is a global health emergency and a major concern in the industrial and residential sectors. It has the ability to spread leading to health problems or death. Wearing a mask in public locations and busy areas is the most effective COVID-19 prevention measure. Face recognition provides an accurate method… Read full abstract & cite →

Masked face human identification face recognition deep transfer learning convolutional neural networks

Abstract doi.org/10.14569/IJACSA.2022.0130637 PDF

38

MSA-SFO-based Secure and Optimal Energy Routing Protocol for MANET

Author 1: D. Naga Tej Author 2: K V Ramana

Mobile Adhoc Network (MANET) is a fast deployable wireless mobile network with minimal infrastructure requirements. In these networks, autonomous nodes may function as routers. Due to the mobility of MANET nodes, the network's topology is dynamic. Recent scientific emphasis has been placed on MANET security. Few MANET attacks have been… Read full abstract & cite →

MANET sail fish optimization energy routing protocol

Abstract doi.org/10.14569/IJACSA.2022.0130638 PDF

39

An Efficient and Optimal Deep Learning Architecture using Custom U-Net and Mask R-CNN Models for Kidney Tumor Semantic Segmentation

Author 1: Sitanaboina S L Parvathi Author 2: Harikiran Jonnadula

Today, kidney medical imaging has become the backbone for health professionals in diagnosing kidney disease and determining its severity. Physicians commonly use Computerized Tomography (CT) and Magnetic Resonance Imaging (MRI) scan models to obtain kidney disease information. The significance and impact of kidney tumor analysis drew researchers to semantic segmentation… Read full abstract & cite →

Kidney tumor (Blob) detection custom U-Net mask R-CNN semantic segmentation deep learning medical image processing

Abstract doi.org/10.14569/IJACSA.2022.0130639 PDF

40

GonioPi: Towards Developing a Scalable, Versatile, Reliable and Accurate Handheld-Wearable Digital Goniometer

Author 1: Thomas Jonathan R. Garcia Author 2: Dhong Fhel K. Gom-os

Range of Motion (ROM) Testing is an important physical examination performed in physical therapy used in assessing the ROM of a patient’s joint. The most commonly used instrument for ROM Testing is the universal goniometer. The most common cause for unreliable and inaccurate joint angle ROM measurements is measurement errors… Read full abstract & cite →

Range of Motion (ROM) goniometer physical therapy goniometry wearable sensors MPU-6050 Raspberry Pi Pico

Abstract doi.org/10.14569/IJACSA.2022.0130640 PDF

41

Computational Approach to Identify Regulatory Biomarkers in the Pathogenesis of Breast Carcinoma

Author 1: Ghazala Sultan Author 2: Swaleha Zubair Author 3: Inamul Hasan Madar Author 4: Harishchander Anandaram

Breast Cancer is reckoned amongst the most common cause of morbidity and mortality among women, adversely affecting female population irrespective of age. The poor survival rate reported in invasive carcinoma cases demands the identification of early developmental stage key markers. MicroRNAs are contributing a critical role in gene regulation potential… Read full abstract & cite →

Breast cancer invasive lobular carcinoma invasive ductal carcinoma biomarkers MicroRNA transcription factors feed forward loops

Abstract doi.org/10.14569/IJACSA.2022.0130641 PDF

42

Discourse-based Opinion Mining of Customer Responses to Telecommunications Services in Saudi Arabia during the COVID-19 Crisis

Author 1: Abdulfattah Omar

This study used opinion mining theory and the potentials of artificial intelligence to explore the opinions, sentiments, and attitudes of customers expressed on Twitter regarding the services provided by the Saudi telecommunications companies during the COVID-19 crisis. A corpus of 12,458 Twitter posts was constructed covering the period 2020–2021. For… Read full abstract & cite →

Artificial intelligence collocate analysis COVID-19 discourse opinion mining vector space clustering

Abstract doi.org/10.14569/IJACSA.2022.0130642 PDF

43

Building Footprint Extraction in Dense Area from LiDAR Data using Mask R-CNN

Author 1: Sayed A. Mohamed Author 2: Amira S. Mahmoud Author 3: Marwa S. Moustafa Author 4: Ashraf K. Helmy Author 5: Ayman H. Nasr

Building footprint extraction is an essential process for various geospatial applications. The city management is entrusted with eliminating slums, which are increasing in rural areas. Compared with more traditional methods, several recent research investigations have revealed that creating footprints in dense areas is challenging and has a limited supply. Deep… Read full abstract & cite →

Deep learning object detection mask R-CNN point cloud light detecting and ranging (LiDAR)

Abstract doi.org/10.14569/IJACSA.2022.0130643 PDF

44

Cricket Event Recognition and Classification from Umpire Action Gestures using Convolutional Neural Network

Author 1: Suvarna Nandyal Author 2: Suvarna Laxmikant Kattimani

The advancement of hardware and deep learning technologies has made it possible to apply these technologies to a variety of fields. A deep learning architecture, the Convolutional Neural Network (CNN), revolutionized the field of computer vision. One of the most popular applications of computer vision is in sports. There are… Read full abstract & cite →

Cricket match computer vision deep learning SNWOLF dataset umpire recognition umpire action images CNN event classification

Abstract doi.org/10.14569/IJACSA.2022.0130644 PDF

45

Optimization Performance Analysis for Adaptive Genetic Algorithm with Nonlinear Probabilities

Author 1: Wenjuan Sun Author 2: Qiaoping Su Author 3: Hongli Yuan Author 4: Yan Chen

Genetic Algorithm (GA) has been proven to be easy in falling into local optimal value due to its fixed crossover probability and mutation probability, while Adaptive Genetic Algorithm (AGA) has strong global search capability because the two probabilities adjust adaptively. There are two categories of AGA according to the different… Read full abstract & cite →

Adaptive genetic algorithm genetic algorithm nonlinear adjustment probability

Abstract doi.org/10.14569/IJACSA.2022.0130645 PDF

46

Improved Particle Swarm Approach for Dynamic Automated Guided Vehicles Dispatching

Author 1: Radhia Zaghdoud Author 2: Marwa Amara Author 3: Khaled Ghedira

The automated guided vehicles dispatching is one of the important operations in containers terminal because it affects the loading/unloading process. This operation has become faster and more complex until the automation advent. Although this evolution, the environment has become dynamic and uncertain. This paper aims to propose an improved particle… Read full abstract & cite →

Dispatching automated guided vehicles dynamic containers particle swarm genetic algorithm

Abstract doi.org/10.14569/IJACSA.2022.0130646 PDF

47

A New Approach for Detecting and Mitigating Address Resolution Protocol (ARP) Poisoning

Author 1: Ahmed A. Galal Author 2: Atef Z. Ghalwash Author 3: Mona Nasr

Address Resolution Protocol (ARP) Poisoning attack is considered as one of the most devastating attacks in a network context. As a result of its stateless nature and lack of authentication, this protocol suffers from many spoofing attacks in which attackers poison the cache of hosts on the network. By sending… Read full abstract & cite →

Address Resolution Protocol (ARP) ARP detecting ARP mitigation ARP spoofing

Abstract doi.org/10.14569/IJACSA.2022.0130647 PDF

48

Cross-Layer based TCP Performance Enhancement in IoT Networks

Author 1: Sultana Parween Author 2: Syed Zeeshan Hussain

Transmission Control Protocol (TCP) used multiple paths for performing transmission of data simultaneously to improve its performance. However, previous TCP protocols in Internet of Things (IoT) networks experienced difficulty to transmit a greater number of subflows. To overcome the above issues, we introduced cross-layer framework to perform efficient packet scheduling… Read full abstract & cite →

Internet of things (IoT) transmission control protocol (TCP) cross-layer approach packet scheduling congestion control fast retransmission recovery

Abstract doi.org/10.14569/IJACSA.2022.0130648 PDF

49

Sena TLS-Parser: A Software Testing Tool for Generating Test Cases

Author 1: Rosziati Ibrahim Author 2: Samah W. G. AbuSalim Author 3: Sapiee Jamel Author 4: Jahari Abdul Wahab

Currently, software complexity and size has been steadily growing, while the variety of testing has also been increased as well. The quality of software testing must be improved to meet deadlines and reduce development testing costs. Testing software manually is time consuming, while automation saves time and money as well… Read full abstract & cite →

Software testing schema parser software under test (SUT) model based testing (MBT) java applications

Abstract doi.org/10.14569/IJACSA.2022.0130649 PDF

50

Deep Sentiment Extraction using Fuzzy-Rule Based Deep Sentiment Analysis

Author 1: SIREESHA JASTI Author 2: G. V. S. RAJ KUMAR

In the world of social media, the amount of textual data is increasing exponentially on the internet, and a large portion of it expresses subjective opinions. Sentiment Analysis (SA) also named as Opinion mining, which is used to automatically identify and extract the subjective sentiments from text. In recent years… Read full abstract & cite →

Sentiment analysis SemEval recurrent neural networks LSTM word embeddings accuracy f1-score fuzzy –rule deep sentiment extraction

Abstract doi.org/10.14569/IJACSA.2022.0130650 PDF

51

RS Invariant Image Classification and Retrieval with Pretrained Deep Learning Models

Author 1: D. N. Hire Author 2: A. V. Patil

CBIR deals with seeking of related images from large dataset, like Internet is a demanding task. Since last two decades scientists are working in this area in various angles. Deep learning provided state-of-the art result for image categorization and recovery. But pre-trained deep learning models are not strong enough to… Read full abstract & cite →

CBIR CNN deep learning ResNet18 rotation scale VGG19

Abstract doi.org/10.14569/IJACSA.2022.0130651 PDF

52

Accuracy Enhancement of Prediction Method using SMOTE for Early Prediction Student's Graduation in XYZ University

Author 1: Ainul Yaqin Author 2: Majid Rahardi Author 3: Ferian Fauzi Abdulloh

According to the Minister of Education and Culture of the Republic of Indonesia's regulations from 2014, one of the essential elements in implementing higher education is the student's study duration. Higher education institutions will use early graduation prediction as a guide when developing policy. According to XYZ University data, the… Read full abstract & cite →

Prediction study period SMOTE neural network k-nearest neighbors support vector machine

Abstract doi.org/10.14569/IJACSA.2022.0130652 PDF

53

Research on the Classification Modeling for the Natural Language Texts with Subjectivity Characteristic

Author 1: Chen Xiao Yu Author 2: Gao Feng Author 3: Song Ying Author 4: Zhang Xiao Min

The methods of natural language text classification have the characteristic of diversification, and the text characteristics are the basis of the method effectiveness; this paper takes the car service complaint data as an example to study the classification modeling for the texts with subjectivity characteristic. The effective handling of car… Read full abstract & cite →

Car service complaint text classification machine learning natural language texts

Abstract doi.org/10.14569/IJACSA.2022.0130653 PDF

54

Multi-layer Stacking-based Emotion Recognition using Data Fusion Strategy

Author 1: Saba Tahseen Author 2: Ajit Danti

Electroencephalography (EEG), or brain waves, is a commonly utilized bio signal in emotion detection because it has been discovered that the data recorded from the brain seems to have a connection between motions and physiological effects. This paper is based on the feature selection strategy by using the data fusion… Read full abstract & cite →

Electroencephalograph (EEG) linear regression based correlation coefficient feature selection multi-layer stacking model machine learning techniques emotion recognition

Abstract doi.org/10.14569/IJACSA.2022.0130654 PDF

55

The Implementation of a Solution for Low-Power Wide-Area Network using LoRaWAN

Author 1: Nicoleta Cristina GAITAN Author 2: Floarea PITU

In recent years, there has been an increasing emphasis on low-power wide-area network also knowns as LPWAN (Low-Power Wide-Area Networks) technologies that allow efficient and fast data transfer, thus desiring a large-scale integration of various devices facilitating long-distance communications in various fields such as agriculture, logistics, or infrastructure. This category… Read full abstract & cite →

LoRa low-power LoRaWAN protocol SigFox LPWAN

Abstract doi.org/10.14569/IJACSA.2022.0130655 PDF

56

Chaos Detection and Mitigation in Swarm of Drones Using Machine Learning Techniques and Chaotic Attractors

Author 1: Emmanuel NEBE Author 2: Mistura Laide SANNI Author 3: Rasheed Ayodeji ADETONA Author 4: Bodunde Odunola AKINYEMI Author 5: Sururah Apinke BELLO Author 6: Ganiyu Adesola ADEROUNMU

Most existing identification and tackling of chaos in swarm drone missions focus on single drone scenarios. There is a need to assess the status of a system with multiple drones, hence, this research presents an on-the-fly chaotic behavior detection model for large numbers of flying drones using machine learning techniques… Read full abstract & cite →

Chaos detection swarm of drones machine learning autoencoder Rössler system

Abstract doi.org/10.14569/IJACSA.2022.0130656 PDF

57

Integrating Big Data Analytics into Business Process Modelling: Possible Contributions and Challenges

Author 1: Zaeem AL-Madhrahi Author 2: Dalbir Singh Author 3: Elaheh Yadegaridehkordi

Business Process Modelling (BPM) is a set of organised, structured, and related activities that boost the development and evolution of an organisation's success by understanding, improving, and automating existing business processes. Recently, the integration of Big Data Analytics (BDA) into BPM has widely gained more attention as a unique opportunity… Read full abstract & cite →

Big data analytics business process modeling BPM organisation’s performance

Abstract doi.org/10.14569/IJACSA.2022.0130657 PDF

58

K-Means Customers Clustering by their RFMT and Score Satisfaction Analysis

Author 1: Doae Mensouri Author 2: Abdellah Azmani Author 3: Monir Azmani

Businesses derive more revenue from building and maintaining long-term relationships with their customers. Therefore, it is essential to build refined strategies based on customer relationship management, with the purpose of increasing their turnover and profits while retaining their customers. In this context, customer segmentation, which is at the heart of… Read full abstract & cite →

Customer segmentation customer satisfaction RFMT model machine learning k-means

Abstract doi.org/10.14569/IJACSA.2022.0130658 PDF

59

Indoor Positioning System: A Review

Author 1: N. Syazwani C. J Author 2: Nur Haliza Abdul Wahab Author 3: Noorhazirah Sunar Author 4: Sharifah H. S. Ariffin Author 5: Keng Yinn Wong Author 6: Yichiet Aun

Global Positioning System (GPS) has been developed in outdoor environments in recent years. GPS offers a wide range of applications in outdoor areas, including military, weather forecasting, vehicle tracking, mapping, farming, and many more. In an outdoor environment, an exact location, velocity, and time can be determined by using GPS… Read full abstract & cite →

Global positioning system (GPS) indoor positioning system (IPS) real-time location system (RTLS)

Abstract doi.org/10.14569/IJACSA.2022.0130659 PDF

60

A Lightweight ECC-based Three-Factor Mutual Authentication and Key Agreement Protocol for WSNs in IoT

Author 1: Meriam Fariss Author 2: Hassan El Gafif Author 3: Ahmed Toumanari

The Internet of Things (IoT) represents a giant ecosystem where many objects are connected. They collect and exchange large amounts of data at a very high speed. One of the main parts of IoT is the Wireless Sensor Network (WSN), which is deployed in various critical applications such as military… Read full abstract & cite →

Mutual authentication elliptic-curve cryptography Physically Unclonable Function wireless sensor networks key-agreement internet of things

Abstract doi.org/10.14569/IJACSA.2022.0130660 PDF

61

Threshold Segmentation of Magnetic Column Defect Image based on Artificial Fish Swarm Algorithm

Author 1: Wang Jun Author 2: Hou Mengjie Author 3: Zhang Ruiran Author 4: Xiao Jingjing

Aiming at the low efficiency of magnetic column surface defect detection, the vulnerability to human influence, and the insufficient anti-noise performance of existing 2D-OTSU threshold segmentation algorithm, an improved artificial fish swarm algorithm combined with 2D-OTSU algorithm was proposed to improve the accuracy and real-time of magnetic column surface defect… Read full abstract & cite →

Defect detecting threshold segmentation artificial fish swarm algorithm improved 2D-OTSU algorithm

Abstract doi.org/10.14569/IJACSA.2022.0130661 PDF

62

Deep Separable Convolution Network for Prediction of Lung Diseases from X-rays

Author 1: Geetha N Author 2: S. J. Sathish Aaron Joseph S. J

Accurate diagnosis of lung cancer has been critical, and image segmentation and deep learning (DL) techniques have made it easier for medical people. Yet, the concept's effectiveness is extremely limited due to a scarcity of skilled radiologists. Although emerging DL-based methods frequently necessitate accordance with the regulation, such as labelled… Read full abstract & cite →

Lung diseases X-rays deep learning filtering edge detection segmentation and swarm intelligence

Abstract doi.org/10.14569/IJACSA.2022.0130662 PDF

63

Face Recognition System Design and Implementation using Neural Networks

Author 1: Jamil Abedalrahim Jamil Alsayaydeh Author 2: Irianto Author 3: Azwan Aziz Author 4: Chang Kai Xin Author 5: A. K. M. Zakir Hossain Author 6: Safarudin Gazali Herawan

Face recognition technology is used in biometric security systems to identify a person digitally before granting the access to the system or the data in it. There are many kidnappings or abduction cases happen around us, however, the kidnap suspects will be set free if there is lack of evidence… Read full abstract & cite →

Face recognition system biometric identification face detection image processing convolutional neural networks

Abstract doi.org/10.14569/IJACSA.2022.0130663 PDF

64

Sparse Feature Aware Noise Removal Technique for Brain Multiple Sclerosis Lesions using Magnetic Resonance Imaging

Author 1: Swetha M D Author 2: Aditya C R

Medical Resonance Imaging (MRI) is non-radioactive-based medical imaging that provides a super-resolution of tissues. However, because of its complex nature using existing Deep Learning-based noise removal (i.e., Denoising) techniques, the reconstruction quality is poor and time-consuming. An extensive study shows very limited work has been done on Brain Multiple Sclerosis… Read full abstract & cite →

Convolution neural networks deep learning denoising magnetic resonance imaging morphology learning multiple sclerosis sparse features

Abstract doi.org/10.14569/IJACSA.2022.0130664 PDF

65

Sentiment Analysis of Covid-19 Vaccination using Support Vector Machine in Indonesia

Author 1: Majid Rahardi Author 2: Afrig Aminuddin Author 3: Ferian Fauzi Abdulloh Author 4: Rizky Adhi Nugroho

Along with the development of the Covid-19 pandemic, many responses and news were shared through social media. The new Covid-19 vaccination promoted by the government has raised pros and cons from the public. Public resistance to covid-19 vaccination will lead to a higher fatality rate. This study carried out sentiment… Read full abstract & cite →

Covid-19 vaccination support vector machine twitter

Abstract doi.org/10.14569/IJACSA.2022.0130665 PDF

66

Application of Optimized SVM in Sample Classification

Author 1: Xuemei Yao

Support vector machines (SVM) have unique advantages in solving problems with small samples, nonlinearity and high dimension. It has a relatively complete theory and has been widely used in various fields. The classification accuracy and generalization ability of SVMs are determined by the selected parameters, for which there is no… Read full abstract & cite →

Support vector machine parameter optimization K-fold cross validation sample classification

Abstract doi.org/10.14569/IJACSA.2022.0130666 PDF

67

A Distributed Intrusion Detection System using Machine Learning for IoT based on ToN-IoT Dataset

Author 1: Abdallah R. Gad Author 2: Mohamed Haggag Author 3: Ahmed A. Nashat Author 4: Tamer M. Barakat

The internet of things (IoT) is a collection of common physical things which can communicate and synthesize data utilizing network infrastructure by connecting to the internet. IoT networks are increasingly vulnerable to security breaches as their popularity grows. Cyber security attacks are among the most popular severe dangers to IoT… Read full abstract & cite →

Intrusion detection system (IDS) internet of things (IoT) ToN-IoT dataset machine learning (ML)

Abstract doi.org/10.14569/IJACSA.2022.0130667 PDF

68

COVID-19 Detection on X-Ray Images using a Combining Mechanism of Pre-trained CNNs

Author 1: Oussama El Gannour Author 2: Soufiane Hamida Author 3: Shawki Saleh Author 4: Yasser Lamalem Author 5: Bouchaib Cherradi Author 6: Abdelhadi Raihani

The COVID-19 infection was sparked by the severe acute respiratory syndrome SARS-CoV-2, as mentioned by the World Health Organization, and originated in Wuhan, Republic of China, eventually extending to every nation worldwide in 2020. This research aims to establish an efficient Medical Diagnosis Support System (MDSS) for recognizing COVID-19 in… Read full abstract & cite →

COVID-19 deep learning transfer learning feature extraction concatenation technique

Abstract doi.org/10.14569/IJACSA.2022.0130668 PDF

69

Sentiment Analysis of Tweets using Unsupervised Learning Techniques and the K-Means Algorithm

Author 1: Orlando Iparraguirre-Villanueva Author 2: Victor Guevara-Ponce Author 3: Fernando Sierra-Linan Author 4: Saul Beltozar-Clemente Author 5: Michael Cabanillas-Carbonell

Today, web content such as images, text, speeches, and videos are user-generated, and social networks have become increasingly popular as a means for people to share their ideas and opinions. One of the most popular social media for expressing their feelings towards events that occur is Twitter. The main objective… Read full abstract & cite →

Techniques machine learning classification twitter

Abstract doi.org/10.14569/IJACSA.2022.0130669 PDF

70

Registration Methods for Thermal Images of Diabetic Foot Monitoring: A Comparative Study

Author 1: Doha Bouallal Author 2: Hassan Douzi Author 3: Rachid Harba

This paper presents a comparative study of image registration techniques for Diabetic Foot (DF) thermal images. Four registration methods (Intensity-based algorithm, Iterative closest point (ICP), subpixel registration algorithm, which is mainly based on Fast Fourier Transform (FFT), and the pyramid approach for subpixel registration) have been implemented and analyzed. The… Read full abstract & cite →

Medical imaging diabetic foot thermography registration mobile health

Abstract doi.org/10.14569/IJACSA.2022.0130670 PDF

71

Op-RMSprop (Optimized-Root Mean Square Propagation) Classification for Prediction of Polycystic Ovary Syndrome (PCOS) using Hybrid Machine Learning Technique

Author 1: Rakshitha Kiran P Author 2: Naveen N. C

Polycystic Ovary Syndrome is a common women's health problem caused by the imbalance in the reproductive hormones which causes problems in the ovaries. An appropriate machine learning (ML) algorithm can be applied to analyze the datasets and validate the performance of the algorithm in terms of accuracy. In this paper… Read full abstract & cite →

SVM decision tree logistic regression RM Sprop frameworks

Abstract doi.org/10.14569/IJACSA.2022.0130671 PDF

72

Influence of Management Automation on Managerial Decision-making in the Agro-Industrial Complex

Author 1: Sergey Dokholyan Author 2: Evgeniya Olegovna Ermolaeva Author 3: Alexander Sergeyevich Verkhovod Author 4: Elena Vladimirovna Dupliy Author 5: Anna Evgenievna Gorokhova Author 6: Vyacheslav Aleksandrovich Ivanov Author 7: Vladimir Dmitrievich Sekerin

The preservation and rational use of the grown harvest, obtaining the maximum product output from raw materials today is one of the most important state tasks. Automation of production processes is the main area in which production is currently advancing around the world. Everything that was previously performed by the… Read full abstract & cite →

Grain elevator automation grain quality grain storage grain drying grain losses

Abstract doi.org/10.14569/IJACSA.2022.0130672 PDF

73

Enhancing the Security of Data Stored in the Cloud using customized Data Visualization Patterns

Author 1: Archana M Author 2: Gururaj Murtugudde

Cloud Computing is getting popularized with the invention of latest technologies like Big Data, Artificial Intelligence, Data Science etc. The biggest challenge faced by researchers is efficient ways of accessing the data and acquiring the required results. The efficiency of the system will help the researchers to go one step… Read full abstract & cite →

Artificial intelligence big data cloud computing data science data visualization

Abstract doi.org/10.14569/IJACSA.2022.0130673 PDF

74

Incremental Learning based Optimized Sentiment Classification using Hybrid Two-Stage LSTM-SVM Classifier

Author 1: Alka Londhe Author 2: P. V. R. D. Prasada Rao

Sentiment analysis is a subtopic of Natural Language Processing (NLP) techniques that involves extracting emotions from unprocessed text. This is commonly used on customer review posts to automatically determine if user / customer sentiments are negative or positive. But quality of these analysis is completely dependent on its quantity of… Read full abstract & cite →

Sentiment analysis natural language processing incremental learning long short-term memory support vector machine hybrid dimensionality reduction principal component analysis

Abstract doi.org/10.14569/IJACSA.2022.0130674 PDF

75

Data Recovery Approach with Optimized Cauchy Coding in Distributed Storage System

Author 1: Snehalata Funde Author 2: Gandharba Swain

In the professional world, the impact of big data is pulsating to change things. Data is currently generated by a wide range of sensors that are part of smart devices. It necessitates data storage and retrieval that is fault tolerant. Data loss can be caused by natural calamities, human error… Read full abstract & cite →

Optimized cauchy coding fault tolerant data availability reed solomon code

Abstract doi.org/10.14569/IJACSA.2022.0130675 PDF

76

Impact of COVID-19 Pandemic Measures and Restrictions on Cellular Network Traffic in Malaysia

Author 1: Sallar Salam Murad Author 2: Salman Yussof Author 3: Rozin Badeel Author 4: Reham A. Ahmed

Due to the COVID-19 pandemic, intensive controls were put in place to prevent the pandemic from spreading. People's habits have been altered by the COVID-19 measures and restrictions imposed such as social distance and lockdown measures. These unexpected changes created a significant impact on cellular networks, such as increased use… Read full abstract & cite →

Cellular networks COVID-19 network performance pandemic

Abstract doi.org/10.14569/IJACSA.2022.0130676 PDF

77

A Deep Learning Classification Approach using Feature Fusion Model for Heart Disease Diagnosis

Author 1: Bhandare Trupti Vasantrao Author 2: Selvarani Rangasamy Author 3: Chetan J. Shelke

Early Diagnosis has a very critical role in medical data processing and automated system. In medical diagnosis, automation is focused in different area of applications, in which heart disease diagnosis is a prominent domain. An early detection of heart disease can save many lives or criticality issues in diagnosing patients… Read full abstract & cite →

Deep learning approach heart disease diagnosis feature fusion model ECG analysis weighted clustering F-Score

Abstract doi.org/10.14569/IJACSA.2022.0130677 PDF

78

An Effective Demand based Optimal Route Generation in Transport System using DFCM and ABSO Approaches

Author 1: Archana M. Nayak Author 2: Nirbhay Chaubey

The transportation network service quality is generally depends on providing demand based routing. Different existing approaches are focused to enhance the service quality of the transportation but them fails to satisfy the demand. This work presents an effective demand based objectives for optimal route generation in public transport system. The… Read full abstract & cite →

Clustering optimization demand based objectives comfort level optimal routing

Abstract doi.org/10.14569/IJACSA.2022.0130678 PDF

79

Implementation of Electronic Health Record and Health Insurance Management System using Blockchain Technology

Author 1: Lincy Golda Careline S Author 2: T. Godhavari

Electronic health records (EHR) play an important role in digital health transition. EHRs contain medical information such as demographics, laboratory test results, radiological images, vaccination status, insurance policy, and claims. EHR is essential for doctors and healthcare organizations to analyze a patient's profile and provide appropriate therapy. Despite this, current… Read full abstract & cite →

Electronic health records insurance policy and claim processing smart contracts Ethereum homomorphic encryption edge computing

Abstract doi.org/10.14569/IJACSA.2022.0130679 PDF

80

Predicting Blocking Bugs with Machine Learning Techniques: A Systematic Review

Author 1: Selasie Aformaley Brown Author 2: Benjamin Asubam Weyori Author 3: Adebayo Felix Adekoya Author 4: Patrick Kwaku Kudjo Author 5: Solomon Mensah

The application of machine learning (ML) techniques to predict blocking bugs have emerged for the early detection of Blocking Bugs (BBs) in software components to mitigate the adverse effect of BBs on software release and project cost. This study presents a systematic literature review of the trends in the application… Read full abstract & cite →

Blocking bugs systematic review software maintenance bug report reliability machine learning

Abstract doi.org/10.14569/IJACSA.2022.0130680 PDF

81

Trace Learners Clustering to Improve Learning Object Recommendation in Online Education Platforms

Author 1: Zriaa Rajae Author 2: Amali Said Author 3: El Faddouli Nour-eddine

E-learning platforms propose pedagogical pathways where learners are invited to mobilize their autonomy to achieve the learning objectives. However, some learners face a set of cognitive barriers that require additional learning objects to progress in the course. A mediating recommendation system is one of the efficient solutions to reinforce the… Read full abstract & cite →

e-learning recommendation system learning objects tacit behaviors

Abstract doi.org/10.14569/IJACSA.2022.0130681 PDF

82

DDoS Intrusion Detection Model for IoT Networks using Backpropagation Neural Network

Author 1: Jasem Almotiri

In today's digital landscape, Internet of Things (IoT) networking has grown dramatically broad. The major feature of IoT network devices is their ability to connect to the internet and interact with it through data collecting and exchanging. Distributed Denial of Service (DDoS) is one form of cyber-attacks in which the… Read full abstract & cite →

DDoS backpropagation neural network IoT network intrusion detection CICDDoS2019

Abstract doi.org/10.14569/IJACSA.2022.0130682 PDF

83

Analysis and Evaluation of Two Feature Selection Algorithms in Improving the Performance of the Sentiment Analysis Model of Arabic Tweets

Author 1: Maria Yousef Author 2: Abdulla ALali

Recently, Sentiment analysis from Twitter is one of the most interesting research disciplines; it combined data mining technologies with natural language processing techniques. The sentiment analysis system aims to evaluate the texts that are posted on social platforms to express positive, negative, or neutral feelings of people regarding a certain… Read full abstract & cite →

Sentiment analysis Information Gain (IG) Chi-Square AJGT database

Abstract doi.org/10.14569/IJACSA.2022.0130683 PDF

84

Domain Human Recognition Techniques using Deep Learning

Author 1: Seshaiah Merikapudi Author 2: Murthy SVN Author 3: Manjunatha. S Author 4: R. V. Gandhi

As a key research subject in the fields of health and human-machine interaction, human activity recognition (HAR) has emerged as a major research focus over the past few decades. Many artificial intelligence-based models are being created for activity recognition. However, these algorithms are failing to extract spatial and temporal properties… Read full abstract & cite →

Human recognition deep learning hybrid model CNN HAR

Abstract doi.org/10.14569/IJACSA.2022.0130684 PDF

85

Tourist Reviews Sentiment Classification using Deep Learning Techniques: A Case Study in Saudi Arabia

Author 1: Banan A. Alharbi Author 2: Mohammad A. Mezher Author 3: Abdullah M. Barakeh

Now-a-days, social media sites and travel blogs have become one of the most vital expression sources. Tourists express everything related to their experiences, reviews, and opinions about the place they visited. Moreover, the sentiment classification of tourist reviews on social media sites plays an increasingly important role in tourism growth… Read full abstract & cite →

Sentiment classification Saudi dialect support -vector machine recurrent neural network long short-term memory

Abstract doi.org/10.14569/IJACSA.2022.0130685 PDF

86

An Outlier Detection and Feature Ranking based Ensemble Learning for ECG Analysis

Author 1: Venkata Anuhya Ardeti Author 2: Venkata Ratnam Kolluru Author 3: George Tom Varghese Author 4: Rajesh Kumar Patjoshi

Automated classification of each heartbeat class from the ECG signal is important to diagnose cardiovascular diseases (CVDs) more quickly. ECG data acquired from the real-time or clinical databases contains exceptional values or extreme values called outliers. The separation and removal of outliers is very much useful for improving the data… Read full abstract & cite →

Feature ranking improved inter quartile range majority voting outlier detection optimized random forest

Abstract doi.org/10.14569/IJACSA.2022.0130686 PDF

87

Improved Data Segmentation Architecture for Early Size Estimation using Machine Learning

Author 1: Manisha Author 2: Rahul Rishi Author 3: Sonia Sharma

Software size estimation plays an important role in project management. According to the report given by Standish Chaos, about 65% of software projects are beyond companies budget or overdue; which could have been saved if an early estimation was imposed. Though the software size can’t be measured directly, but it… Read full abstract & cite →

Cosine similarity hybrid similarity machine learning size estimation and soft cosine similarity

Abstract doi.org/10.14569/IJACSA.2022.0130687 PDF

88

Use of Information and Computer-based Distance Learning Technologies during COVID-19 Active Restrictions

Author 1: Irina Petrovna Gladilina Author 2: Lyudmila Nikolaevna Pankova Author 3: Svetlana Alexandrovna Sergeeva Author 4: Vladimir Kolesnik Author 5: Alexey Vorontsov

Despite the reduction of restrictive measures imposed due to the COVID-19 pandemic, the problem of organizing distance learning continues to be topical. Distance learning imposes a much greater responsibility on teachers, giving them more of a workload as learning technologies change rapidly and teachers have to actively adapt to innovations… Read full abstract & cite →

Distance learning teachers electronic service online class

Abstract doi.org/10.14569/IJACSA.2022.0130688 PDF

89

Detection of COVID-19 from Chest X-Ray Images using CNN and ANN Approach

Author 1: Micheal Olaolu Arowolo Author 2: Marion Olubunmi Adebiyi Author 3: Eniola Precious Michael Author 4: Happiness Eric Aigbogun Author 5: Sulaiman Olaniyi Abdulsalam Author 6: Ayodele Ariyo Adebiyi

The occurrence of coronavirus (COVID-19), which causes respiratory illnesses, is higher than in 2003. (SARS). COVID-19 and SARS are both spreading over regions and infecting living beings, with more than 73,435 deaths and more than 2000 deaths documented as of August 12, 2020. In contrast, SARS killed 774 lives in… Read full abstract & cite →

Machine learning COVID-19 ANN CNN X-ray images

Abstract doi.org/10.14569/IJACSA.2022.0130689 PDF

90

A Novel Region Growing Algorithm using Wavelet Coefficient Feature Combination of Image Dynamics

Author 1: Tamanna Sahoo Author 2: Bibhuprasad Mohanty

Moving object detection has versatile and potential applications in video surveillance, traffic monitoring, human motion capture etc., where detecting object(s) in a complex scene is vital. In the existing background subtraction method based on frame differencing, the false positive and misclassification rate increases as the background becomes more complex and… Read full abstract & cite →

Moving object dynamism wavelet transformation region growing

Abstract doi.org/10.14569/IJACSA.2022.0130690 PDF

91

Driver Drowsiness Detection and Monitoring System (DDDMS)

Author 1: Raz Amzar Fahimi Rozali Author 2: Suzi Iryanti Fadilah Author 3: Azizul Rahman Mohd Shariff Author 4: Khuzairi Mohd Zaini Author 5: Fatima Karim Author 6: Mohd Helmy Abd Wahab Author 7: Rajan Thangaveloo Author 8: Abdul Samad Bin Shibghatullah

The purpose of this paper is to develop a driver drowsiness and monitoring system that could act as an assistant to the driver during the driving process. The system is aimed at reducing fatal crashes caused by driver’s drowsiness and distraction. For drowsiness, the system operates by analysing eye blinks… Read full abstract & cite →

Distraction drowsiness eye blink yawn head pose estimation eye tracking computer vision Raspberry Pi

Abstract doi.org/10.14569/IJACSA.2022.0130691 PDF

92

BiDLNet: An Integrated Deep Learning Model for ECG-based Heart Disease Diagnosis

Author 1: S. Kusuma Author 2: Jothi. K. R

Every year, around 10 million people die due to heart attacks. The use of electrocardiograms (ECGs) is a vital part of diagnosing these conditions. These signals are used to collect information about the heart's rhythm. Currently, various limitations prevent the diagnosis of heart diseases. The BiDLNet model is proposed in… Read full abstract & cite →

Heart disease ECG deep learning machine learning models discrete wavelet transform

Abstract doi.org/10.14569/IJACSA.2022.0130692 PDF

93

Deep-Learning Approach for Efficient Eye-blink Detection with Hybrid Optimization Concept

Author 1: Rupali Gawande Author 2: Sumit Badotra

In this research work, a novel eye-blink detection model is developed. The proposed eye blink detection model is modeled by following seven major phases: (a) video–to-frame conversion, (b) Pre-processing, (c) face detection, (d) eye region localization, (e) eye landmark detection and eye status detection, (f) eye blink detection and (f)… Read full abstract & cite →

Eye localization CNN Seagull Optimization with Enhanced Exploration (SOEE) improved active shape model (I-ASM) eye aspect ratio (EAR) eye-blink detection

Abstract doi.org/10.14569/IJACSA.2022.0130693 PDF

94

A Hybrid Quartile Deviation-based Support Vector Regression Model for Software Reliability Datasets

Author 1: Y. Geetha Reddy Author 2: Y Prasanth

Software reliability estimation using machine learning play a major role on the different software quality reliability databases. Most of the conventional software reliability estimation model fails to predict the test samples due to high true positive rate of the traditional support vector regression models. Most of the traditional machine learning… Read full abstract & cite →

Software fault detection reliability prediction support vector machine exponential distribution quartile deviation

Abstract doi.org/10.14569/IJACSA.2022.0130694 PDF

95

EAGL: Enhancement Algorithm based on Gamma Correction for Low Visibility Images

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

Under poor light conditions or improper acquisition settings, the image degrades due to low contrast, poor brightness and suffer poor visual quality of the picture. An enhancement is required to manipulate the scale of pixel intensity for significant improvement in the image. This paper proposed the method of gamma correction… Read full abstract & cite →

Low scale intensity images discrete wavelet decomposition gamma correction quality metrics

Abstract doi.org/10.14569/IJACSA.2022.0130695 PDF

96

Approval Rating of Peruvian Politicians and Policies using Sentiment Analysis on Twitter

Author 1: Jose Yauri Author 2: Luis Solis Author 3: Efrain Porras Author 4: Manuel Lagos Author 5: Enrique Tinoco

Now-a-days, using the social network Twitter, a subject can easily access, post, and share information about news, events, and incidents taking place currently in the world. Recently, due to the high number of users and the capability to transfer information instantly, Twitter had attracted the interest of politicians with the… Read full abstract & cite →

Twitter data analytic sentiment analysis Peruvian politicians approval rating convolutional neural networks

Abstract doi.org/10.14569/IJACSA.2022.0130696 PDF

97

Construction of a Repeatable Framework for Prostate Cancer Lesion Binary Semantic Segmentation using Convolutional Neural Networks

Author 1: Ian Vincent O. Mirasol Author 2: Patricia Angela R. Abu Author 3: Rosula S. J. Reyes

Prostate cancer is the 3rd most diagnosed cancer overall. Current screening methods such as the prostate-specific antigen test could result in overdiagonosis and overtreatment while other methods such as a transrectal ultrasonography are invasive. Recent medical advancements have allowed the use of multiparametric MRI — a noninvasive and reliable screening… Read full abstract & cite →

Convolutional neural networks binary semantic segmentation prostate cancer computer vision deep learning

Abstract doi.org/10.14569/IJACSA.2022.0130697 PDF

98

Methods and Directions of Contact Tracing in Epidemic Discovery

Author 1: Mohammed Abdalla Author 2: Amr M. AbdelAziz Author 3: Louai Alarabi Author 4: Saleh Basalamah Author 5: Abdeltawab Hendawi

The contact tracing process is a mitigation and monitoring strategy that aims to capture infectious diseases to control their outbreak in a practical time. Various applications have been proposed and developed contact tracing process; most of these applications utilize the smartphone technologies to record all movements of contacts and send… Read full abstract & cite →

Contact tracing routes analysis epidemic discov-ery big spatial health applications

Abstract doi.org/10.14569/IJACSA.2022.0130698 PDF

99

Emergency Decision Model by Combining Preference Relations with Trapezoidal Pythagorean Fuzzy Probabilistic Linguistic Priority Weighted Averaging PROMETHEE Approach

Author 1: Xiao Yue Author 2: Li jianhui

The outbreak of COVID-19 in 2019 has brought greater international attention to emergency decision making and management. Since emergency situations are often uncertain, prevention and control are crucial. For better prevent and control, according to the characteristics of emergency incidents, the paper proposes a new form of linguistic expression trape-zoidal… Read full abstract & cite →

COVID-19 emergency decision model trapezoidal Pythagorean fuzzy probabilistic linguistic variables preference relations PROMETHEE approach

Abstract doi.org/10.14569/IJACSA.2022.0130699 PDF

100

Analysis of the Influence of De-hazing Methods on Vehicle Detection in Aerial Images

Author 1: Khang Nguyen Author 2: Phuc Nguyen Author 3: Doanh C. Bui Author 4: Minh Tran Author 5: Nguyen D. Vo

In recent years, object detection from space in adverse weather, incredibly foggy, has been challenging. In this study, we conduct an empirical experiment using two de-hazing methods: DW-GAN and Two-Branch, for removing fog, then eval-uate the detection performance of six advanced object detectors belonging to four main categories: two-stage, one-stage… Read full abstract & cite →

Foggy weather vehicle detection DWGAN two-branch YOLOv3 sparse R-CNN deformable deter cascade R-CNN crossDet adverse weather

Abstract doi.org/10.14569/IJACSA.2022.01306100 PDF

101

Designing a Mobile Application using Augmented Reality: The Case of Children with Learning Disabilities

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

The learning disorder has several difficulties to learn correctly; in many cases they have more stress because they do not understand the subjects proposed by the teacher. The aim of the research is to propose an innovative plan to design a mobile application for the treatment of learning disabilities using… Read full abstract & cite →

App augmented class design thinking marvel App learning disorder TinkerCad

Abstract doi.org/10.14569/IJACSA.2022.01306101 PDF

102

Implementation of a Web System: Prevent Fraud Cases in Electronic Transactions

Author 1: Edwin Kcomt Ponce Author 2: Katherine Escobedo Sanchez Author 3: Laberiano Andrade-Arenas

The purpose of this project is to prevent cases of fraud in e-commerce of purchase and sale from person to person through social networks. For the development of the research work, the Scrum methodology was used to allow the project to be carried out in an agile and flexible way… Read full abstract & cite →

Artificial intelligence e-commerce fraud optical character recognition scrum social networks web system

Abstract doi.org/10.14569/IJACSA.2022.01306102 PDF

103

Benchmarking of Motion Planning Algorithms with Real-time 3D Occupancy Grid Map for an Agricultural Robotic Manipulator

Author 1: Seyed Abdollah Vaghefi Author 2: Mohd Faisal Ibrahim Author 3: Mohd Hairi Mohd Zaman

The performance evaluation of motion planning algorithms for agricultural robotic manipulators is commonly performed via benchmarking platforms. However, creating a realistic benchmarking scene that constrains the motion planning algorithms with the characteristic of a real-work environment has always been a challenge worthy of research. In this paper, we present a… Read full abstract & cite →

Motion planning agricultural harvesting robot manipulator benchmarking oil palm

Abstract doi.org/10.14569/IJACSA.2022.01306103 PDF

104

Unsupervised Domain Adaptation using Maximum Mean Covariance Discrepancy and Variational Autoencoder

Author 1: Fabian Barreto Author 2: Jignesh Sarvaiya Author 3: Suprava Patnaik Author 4: Sushilkumar Yadav

Face Recognition has progressed tremendously from its initial use of holistic learning models to using hand-crafted, shallow, and deep learning models. DeepFace, a nine-layer Deep Convolutional Neural Network (DCNN), reached near-human performance on unconstrained face recognition for the La-beled Faces in the Wild (LFW) dataset. These models performed very well… Read full abstract & cite →

Deep learning domain adaptation face recognition maximum mean covariance discrepancy transfer learning varia-tional autoencoders

Abstract doi.org/10.14569/IJACSA.2022.01306104 PDF

105

Prediction of Quality of Water According to a Random Forest Classifier

Author 1: Shahd Maadi Alomani Author 2: Najd Ibrahim Alhawiti Author 3: A’aeshah Alhakamy

Potable or drinking water is a daily life necessity for humans. The safety of this water is a concern in many regions around the world, since polluted waters are increasing and causing the spread of disease among populations. Continuous management and evaluation of the water which is meant for drinking… Read full abstract & cite →

Big data machine learning classification random forest water quality PySpark

Abstract doi.org/10.14569/IJACSA.2022.01306105 PDF

106

Virtual Reality Platform for Sustainable Road Education among Users of Urban Mobility in Cuenca, Ecuador

Author 1: Gabriel A. Leon-Paredes Author 2: Omar G. Bravo-Quezada Author 3: Erwin J. Sacoto-Cabrera Author 4: Wilson F. Calle-Siavichay Author 5: Ledys L. Jimenez-Gonzalez Author 6: Juan Aguirre-Benalcazar

A traffic accident is an event generated in an unforeseen way that is beyond the control of the people involved, which can produce bodily, functional, or organic injuries, leading to death or disability in the worst cases. According to the Empresa P´ublica Municipal de Movilidad, Tr´ansito y Transporte de Cuenca… Read full abstract & cite →

Virtual reality road safety education virtual sce-narios serious games educational experience

Abstract doi.org/10.14569/IJACSA.2022.01306106 PDF

107

An E2ED-based Approach to Custom Robot Navigation and Localization

Author 1: Andres Moreno Author 2: Daniel Paez Author 3: Fredy Martinez

Simultaneous mapping and localization or SLAM is a basic strategy used with robots and autonomous vehicles to identify unknown environments. It is of great attention in robotics due to its importance in the development of motion planning schemes in unknown and dynamic environments, which are close to the real cases… Read full abstract & cite →

End-to-End design localization navigation path planning robotics SLAM

Abstract doi.org/10.14569/IJACSA.2022.01306107 PDF

108

Identifying Community-Supported Technologies and Software Developments Concepts by K-means Clustering

Author 1: Farag Almansoury Author 2: Segla Kpodjedo Author 3: Ghizlane El Boussaidi

Working on technologies that have community sup-port is one of the most important factors in software development. Software developers often face difficulties during software devel-opment, and community support from other software developers help them significantly. This paper presents an approach based on K-mean clustering technique to identify the level of… Read full abstract & cite →

Stack overflow unsupervised machine learning k-means clustering empirical study machine learning random for-est software development Java classification community support

Abstract doi.org/10.14569/IJACSA.2022.01306108 PDF

109

On the Role of Text Preprocessing in BERT Embedding-based DNNs for Classifying Informal Texts

Author 1: Aliyah Kurniasih Author 2: Lindung Parningotan Manik

Due to highly unstructured and noisy data, analyz-ing society reports in written texts is very challenging. Classifying informal text data is still considered a difficult task in natural language processing since the texts could contain abbreviated words, repeating characters, typos, slang, et cetera. Therefore, text preprocessing is commonly performed to… Read full abstract & cite →

Natural language processing bert embeddings deep neural network text preprocessing

Abstract doi.org/10.14569/IJACSA.2022.01306109 PDF

110

VIHS with ROTR Technique for Enhanced Light-Weighted Cryptographic System

Author 1: Sanjeev Kumar A N Author 2: Ramesh Naik B

Developing a bypass parallel processing block is one of the emerging and exciting research areas in the system encrypt/decrypt application areas. A Partial Pseudo-Random-based Hashing VIHS is the most suitable methodology for designing the system to encrypt/solve a block in cryptography. For this purpose, various VIHS and register techniques have… Read full abstract & cite →

Cryptography – partial pseudo-random based hash-ing technique logical to sequential VIHS system encrypts/decrypt data dynamic system register bypass parallel processing

Abstract doi.org/10.14569/IJACSA.2022.01306110 PDF

111

Classification of Palm Trees Diseases using Convolution Neural Network

Author 1: Marwan Abu-zanona Author 2: Said Elaiwat Author 3: Shayma’a Younis Author 4: Nisreen Innab Author 5: M. M. Kamruzzaman

The palm tree is considered one of the most durable trees , and it occupies an advanced position as one of the most famous and most important trees that are planted in different regions around the world, which enter into many uses and have a number of benefits. In the… Read full abstract & cite →

Palm trees diseases convolutional neural networks mobileNet VGG-16

Abstract doi.org/10.14569/IJACSA.2022.01306111 PDF

112

Dynamic Spatial-Temporal Graph Model for Disease Prediction

Author 1: Ashwin Senthilkumar Author 2: Mihir Gupte Author 3: Shridevi S

Advances in the field of Neural Networks, especially Graph Neural Networks (GNNs) has helped in many fields, mainly in the areas of Chemistry and Biology where recognizing and utilising hidden patterns is of much importance. In Graph Neural Networks, the input graph structures are exploited by using the dependencies formed… Read full abstract & cite →

Spatial temporal graph convolution network disease prediction graph neural network graph convolutional network deep learning knowledge graph

Abstract doi.org/10.14569/IJACSA.2022.01306112 PDF

113

Password Systems: Problems and Solutions

Author 1: Lanfranco Lopriore

In a security environment featuring subjects and objects, we consider an alternative to the classical password paradigm. In this alternative, a key includes a password, an object identifier, and an authorization. A master password is associated with each object. A key is valid if the password in that key descends… Read full abstract & cite →

Access authorization key password revocation security

Abstract doi.org/10.14569/IJACSA.2022.01306113 PDF