IJACSA Vol. 12 Issue 3 (2021)

1

Texture Classification using Angular and Radial Bins in Transformed Domain

Author 1: Arun Kulkarni Author 2: Aavash Sthapit Author 3: Ashim Sedhain Author 4: Bishrut Bhattarai Author 5: Saurav Panthee

Texture is generally recognized as fundamental to perceptions. There is no precise definition or characterization available in practice. Texture recognition has many applications in areas such as medical image analysis, remote sensing, and robotic vision. Various approaches such as statistical, structural, and spectral have been suggested in the literature. In… Read full abstract & cite →

Texture discrete cosine transform radial and angular bins decision tree support vector machine logarithmic regression

Abstract doi.org/10.14569/IJACSA.2021.0120301 PDF

2

Intellectual Singularity of Quasi-Holographic Paradigm for a Brain-like Video-Component of Artificial Mind

Author 1: Yarichin E. M Author 2: Gruznov V.M Author 3: Yarichina G.F

On the basis of a new post-Shannon information approach (quantitative and qualitative together), a hierarchical process of evaluating video-information by an intellectual brain-like video-component of artificial mind is considered. The development of the classical (Shannon's) informational approach to the level of the new (post-Shannon's) informational approach made it possible to… Read full abstract & cite →

Differential holographic principle video-data structuring super-saccades integral quasi-holographic principle long-range action bundles ascending hierarchy singularity video-component video-thesaurus video-intelligence architec¬ture artificial intelligence artificial mind full sampling theorem descending hierarchy hierarchical feedback

Abstract doi.org/10.14569/IJACSA.2021.0120302 PDF

3

Adopting Vulnerability Principle as the Panacea for Security Policy Monitoring

Author 1: Prosper K. Yeng Author 2: Stephen D. Wolthusen Author 3: Bian Yang

Despite the adoption of information security poli-cies, many industries continue to suffer from the harm of non-compliance. Some of these harms include illegal disclosure of customers sensitive data, leakages of business trade secrets, and various kinds of cyber-attacks. The impact of such harm can be enormous.To avert this, monitoring the… Read full abstract & cite →

Information security vulnerability principle ethics security policy monitoring

Abstract doi.org/10.14569/IJACSA.2021.0120303 PDF

4

Feeder Reconfiguration in Unbalanced Distribution System with Wind and Solar Generation using Ant Lion Optimization

Author 1: Surender Reddy Salkuti

This paper proposes an approach for the distribution system (DS) feeder reconfiguration (FRC) of balanced and unbalanced networks by minimizing the total cost of operation. Network reconfiguration is a feasible technique for system performance enhancement in low voltage distribution systems. In this work, wind and solar photovoltaic (PV) units are… Read full abstract & cite →

Distributed energy resources evolutionary algorithms feeder reconfiguration operational cost optimization algorithms three-phase transformers

Abstract doi.org/10.14569/IJACSA.2021.0120304 PDF

5

Determinants of e-Commerce Use at Different Educational Levels: Empirical Evidence from Turkey

Author 1: Seyda Ünver Author 2: Ömer Alkan

Rapid spread of internet has made e-commerce an essential and effective tool for commercial transactions. The purpose of this study is to investigate e-commerce use differences between individuals in Turkey according to their educational levels and to specify the relationship between demographic characteristics of individuals and e-commerce use. In this… Read full abstract & cite →

Electronic commerce online shopping educational level e-commerce Turkey binary logistic regression

Abstract doi.org/10.14569/IJACSA.2021.0120305 PDF

6

Fuzzy based Techniques for Handling Missing Values

Author 1: Malak El-Bakry Author 2: Farid Ali Author 3: Ayman El-Kilany Author 4: Sherif Mazen

Usually, time series data suffers from high percentage of missing values which is related to its nature and its collection process. This paper proposes a data imputation technique for imputing the missing values in time series data. The Fuzzy Gaussian membership function and the Fuzzy Triangular membership function are proposed… Read full abstract & cite →

Time series data fuzzy logic membership functions machine learning missing values

Abstract doi.org/10.14569/IJACSA.2021.0120306 PDF

7

Change Detection Method with Multi-temporal Satellite Images based on Wavelet Decomposition and Tiling

Author 1: Kohei Arai

Change detection method with multi-temporal satellite images based on Wavelet decomposition with Daubechies wavelet function (Multi Resolution Analysis), and tiling is proposed. The method allows detection of changes in time series analysis and is not sensitive to geometric distortions included in the satellite images. In this paper, the author proposed… Read full abstract & cite →

Daubechies wavelet multi-resolution analysis: MRA change detection multi-temporal satellite image geometric distortion Landsat Thematic Mapper (TM) image

Abstract doi.org/10.14569/IJACSA.2021.0120307 PDF

8

Comprehensive Analysis of Resource Allocation and Service Placement in Fog and Cloud Computing

Author 1: A. S. Gowri Author 2: P.Shanthi Bala Author 3: Immanuel Zion Ramdinthara

The voluminous data produced and consumed by digitalization, need resources that offer compute, storage, and communication facility. To withstand such demands, Cloud and Fog computing architectures are the viable solutions, due to their utility kind and accessibility nature. The success of any computing architecture depends on how efficiently its resources… Read full abstract & cite →

Cloud fog reinforcement learning energy-efficient computing resource allocation service placement

Abstract doi.org/10.14569/IJACSA.2021.0120308 PDF

9

Performance Analysis of Deep Neural Network based on Transfer Learning for Pet Classification

Author 1: Bhavesh Jaiswal Author 2: Nagendra Gajjar

Deep learning frameworks have progressed beyond human recognition capabilities and, now it’s the perfect opportunity to optimize them for implementation on the embedded platforms. The present deep learning architectures support learning capabilities, but they lack flexibility for applying learned knowledge on the tasks in other unfamiliar domains. This work tries… Read full abstract & cite →

Machine learning knowledge distillation transfer learning domain adaptation

Abstract doi.org/10.14569/IJACSA.2021.0120309 PDF

10

Multi-objective based Optimal Network Reconfiguration using Crow Search Algorithm

Author 1: Surender Reddy Salkuti

This paper presents an optimal network reconfiguration (ONR)/feeder reconfiguration (FRC) approach by considering the total operating cost and system power losses minimizations as objectives. The ONR/FRC is a feasible approach for the enhancement of system performance in distribution systems (DSs). FRC alters the topological structure of feeders by changing the… Read full abstract & cite →

Battery storage distributed generation evolutionary algorithms network reconfiguration renewable energy uncertainty

Abstract doi.org/10.14569/IJACSA.2021.0120310 PDF

11

Applying Synthetic Minority Over-sampling Technique and Support Vector Machine to Develop a Classifier for Parkinson’s disease

Author 1: Haewon Byeon Author 2: Byungsoo Kim

As the number of Parkinson’s disease patients increases in the elderly population, it has become a critical issue to understand the early characteristics of Parkinson’s disease and to detect Parkinson’s disease as soon as possible during normal aging. This study minimized the imbalance issue by employing Synthetic Minority Over-sampling Technique… Read full abstract & cite →

Kernel type Rey complex figure test support vector machine SMOTE Parkinson’s disease

Abstract doi.org/10.14569/IJACSA.2021.0120311 PDF

12

FishDeTec: A Fish Identification Application using Image Recognition Approach

Author 1: Siti Nurulain Mohd Rum Author 2: Fariz Az Zuhri Nawawi

The underwater imagery processing is always in high demand, especially the fish species identification. This activity is as important not only for the biologist, scientist, and fisherman, but it is also important for the education purpose. It has been reported that there are more than 200 species of freshwater fish… Read full abstract & cite →

Component Freshwater Fish fish species recognition FishDeTec Convolutional Neural Network (CNN) VGG16

Abstract doi.org/10.14569/IJACSA.2021.0120312 PDF

13

Predicting the Anxiety of Patients with Alzheimer’s Dementia using Boosting Algorithm and Data-Level Approach

Author 1: Haewon Byeon

Since overfitting due to imbalanced data can cause prediction errors during the learning process of machine learning and degrades the prediction performance of the model (e.g., sensitivity), it is necessary to add an additional data sampling technique in the model development step to reduce overfitting to overcome this issue, in… Read full abstract & cite →

Anxiety AdaBoost patients with Alzheimer's dementia SMOTE XGBoost

Abstract doi.org/10.14569/IJACSA.2021.0120313 PDF

14

Deep Learning Hybrid with Binary Dragonfly Feature Selection for the Wisconsin Breast Cancer Dataset

Author 1: Marian Mamdouh Ibrahim Author 2: Dina Ahmed Salem Author 3: Rania Ahmed Abdel Azeem Abul Seoud

Breast cancer is the world’s top cancer affecting women. While the danger of the factors varies from a place, lifestyle, and diet. Treatment procedures after discovering a confirmed cancer case can reduce the risk of the disease. Unfortunately, breast cancers that arise in low and middle-income countries are diagnosed at… Read full abstract & cite →

Breast cancer Wisconsin data set classifiers deep learning feature selection dragonfly

Abstract doi.org/10.14569/IJACSA.2021.0120314 PDF

15

Using Machine Learning Technologies to Classify and Predict Heart Disease

Author 1: Mohammed F. Alrifaie Author 2: Zakir Hussain Ahmed Author 3: Asaad Shakir Hameed Author 4: Modhi Lafta Mutar

The techniques of data mining are used widely in the healthcare sector to predict and diagnose various diseases. Diagnosis of heart disease is considered as one of the very important applications of these systems. Data is being collected today in a large amount where people need to rely on the… Read full abstract & cite →

Classification Naive Bayes (NB) (Support Vector Machine SVM) Random Forest machine learning

Abstract doi.org/10.14569/IJACSA.2021.0120315 PDF

16

Towards Natural Language Processing with Figures of Speech in Hindi Poetry

Author 1: Milind Kumar Audichya Author 2: Jatinderkumar R. Saini

Poems have always been an excellent way of expressing emotions in any language. In particular, Hindi poetry is having versatile popularity among native and non-native speakers all over the world. A typical poem in Hindi is characterized by meter (“Chhand”), emotion (“Rasa”), and figure of speech (“Alankaar”). The present research… Read full abstract & cite →

“Alankaar” figure of speech Hindi Natural Language Processing (NLP) poetry

Abstract doi.org/10.14569/IJACSA.2021.0120316 PDF

17

Formal Verification of an Efficient Architecture to Enhance the Security in IoT

Author 1: Eman K. Elsayed Author 2: L. S. Diab Author 3: Asmaa. A. Ibrahim

The Internet of Things (IoT) is one of the world's newest intelligent communication technologies. There are several kinds of novels about IoT architectures, but they still suffer from security and privacy challenges. Formal verification is a vital method for detecting potential weaknesses and vulnerabilities at an early stage. During this… Read full abstract & cite →

Internet of things (IoT) IoT architecture IoT security formal modeling and verification Event-B

Abstract doi.org/10.14569/IJACSA.2021.0120317 PDF

18

Conceptual Model with Built-in Process Mining

Author 1: Sabah Al-Fedaghi

Process mining involves discovering, monitoring, and improving real processes by extracting knowledge from event logs in information systems. Process mining has become an important topic in recent years, as evidenced by a growing number of case studies and commercial tools. Current studies in this area assume that event records are… Read full abstract & cite →

Process-mining techniques event log conceptual modeling static model events model behavioral model

Abstract doi.org/10.14569/IJACSA.2021.0120318 PDF

19

Modeling a Functional Engine for the Opinion Mining as a Service using Compounded Score Computation and Machine Learning

Author 1: Rajeshwari D Author 2: Puttegowda. D

The ever-growing use of the digital platform for the various walks of the applications, primarily on the collaborative platforms of e-commerce, e-learning, social media, blogging, and many more, produces a large corpus of unstructured text data. Many potential strategic solutions require an accurate and fast classification process of the Opinion's… Read full abstract & cite →

Text mining opinion sentiments machine learning unstructured data cloud services

Abstract doi.org/10.14569/IJACSA.2021.0120319 PDF

20

Model for Predicting Customer Desertion of Telephony Service using Machine Learning

Author 1: Carlos Acero-Charaña Author 2: Erbert Osco-Mamani Author 3: Tito Ale-Nieto

In the present study, it is observed that many people are affected by the services provided by telephony, who leave the service for different reasons, for which the use of a model based on decision trees is proposed, which allows predicting potential dropouts from Customers of a telecommunications company for… Read full abstract & cite →

Software KNIME Support Vector Machine (SVM) neural networks decision trees

Abstract doi.org/10.14569/IJACSA.2021.0120320 PDF

21

Evaluating Software Quality Attributes using Analytic Hierarchy Process (AHP)

Author 1: Botchway Ivy Belinda Author 2: Akinwonmi Akintoba Emmanuel Author 3: Nunoo Solomon Author 4: Alese Boniface Kayode

The use of quality software is of importance to stakeholders and its demand is on the increase. This work focuses on meeting software quality from the user and developer’s perspective. After a review of some existing software-quality models, twenty-four software quality attributes addressed by ten models such as the McCall’s… Read full abstract & cite →

Analytic Hierarchy Process (AHP) software quality quality attribute quality model sub-attributes

Abstract doi.org/10.14569/IJACSA.2021.0120321 PDF

22

SVM Machine Learning Classifier to Automate the Extraction of SRS Elements

Author 1: Ayad Tareq Imam Author 2: Aysh Alhroob Author 3: Wael Jumah Alzyadat

The process of extraction of software entities such as system, use case, and actor from an English natural language description of a user’s software requirements is a linguistic and semantic process of a natural language processing application. Entity extraction is known to be a complicated and challenging problem by researchers… Read full abstract & cite →

Information extraction named entity recognition machine learning support vector machine software requirement specification WEKA I-CASE

Abstract doi.org/10.14569/IJACSA.2021.0120322 PDF

23

Artificial Intelligence: Machine Translation Accuracy in Translating French-Indonesian Culinary Texts

Author 1: Muhammad Hasyim Author 2: Firman Saleh Author 3: Rudy Yusuf Author 4: Asriani Abbas

The use of machine translation as artificial intelligence (AI) keeps increasing and the world’s most popular translation tool is Google Translate (GT). This tool is not merely used for the benefits of learning and obtaining information from foreign languages through translation but has also been used as a medium of… Read full abstract & cite →

Machine translation Google translation accuracy culinary texts artificial intelligence

Abstract doi.org/10.14569/IJACSA.2021.0120323 PDF

24

A Generic Approach for Allocating Movement Permits During/Outside Curfew Period during COVID-19

Author 1: Yaser Chaaban

During the coronavirus disease (COVID-19) pandemic, different exciting concepts around solutions, technical components, smartphone applications, and novel wireless services are needed to adapt to the new lifestyle standard that emerged from the COVID-19 crisis. In this context, social distancing was imposed to prevent or decrease significantly further transmission of the… Read full abstract & cite →

COVID-19 pandemic social distancing resource allocation problem movement permits

Abstract doi.org/10.14569/IJACSA.2021.0120324 PDF

25

Internet of Things Security: A Review of Enabled Application Challenges and Solutions

Author 1: Mona Algarni Author 2: Munirah Alkhelaiwi Author 3: Abdelrahman Karrar

The Internet of Things (IoT) has been widely used in every aspect of life. The rapid development of IoT technologies raises concerns regarding security and privacy. IoT security is a critical concern in the preservation of the privacy and reliability of users’ private information. The privacy concern becomes the biggest… Read full abstract & cite →

Internet of things internet of things application internet of things privacy internet of things architecture internet of things security challenges security protocol

Abstract doi.org/10.14569/IJACSA.2021.0120325 PDF

26

Customer Retention: Detecting Churners in Telecoms Industry using Data Mining Techniques

Author 1: Mahmoud Ewieda Author 2: Essam M Shaaban Author 3: Mohamed Roushdy

Customers are more concerned with the quality of services that companies can provide. Customer churn is the percentage of service for subscribers, who stop their subscriptions or the proportion of customers, who discontinue using the product of the firm or service within a given time frame. Services by various service… Read full abstract & cite →

Quality of service churn prediction classification data mining prediction model customer retention

Abstract doi.org/10.14569/IJACSA.2021.0120326 PDF

27

Speech-to-Text Conversion in Indonesian Language Using a Deep Bidirectional Long Short-Term Memory Algorithm

Author 1: Suci Dwijayanti Author 2: Muhammad Abid Tami Author 3: Bhakti Yudho Suprapto

Nowadays, speech is used also for communication between humans and computers, which requires conversion from speech to text. Nevertheless, few studies have been performed on speech-to-text conversion in Indonesian language, and most studies on speech-to-text conversion were limited to the conversion of speech datasets with incomplete sentences. In this study… Read full abstract & cite →

Speech-to-text Deep Bidirectional Long Short-Term Memory (LSTM) spectrogram Mel frequency cepstral coefficients (MFCC) word error rate

Abstract doi.org/10.14569/IJACSA.2021.0120327 PDF

28

Smart Internet of Vehicles Architecture based on Deep Learning for Occlusion Detection

Author 1: Shaya A. Alshaya

In our days, the cyber world is developing due to the revolution of smart cities and machine learning technologies. The internet of Things constitutes the essential background of cyber technology. As a case study, the Internet of Vehicles is one of the leading applications which is developed quickly. Studies are… Read full abstract & cite →

Internet of vehicle deep learning collaborative technologies cloud edge computing

Abstract doi.org/10.14569/IJACSA.2021.0120328 PDF

29

Smart Home Energy Management System

Author 1: Yasser AL Sultan Author 2: Ben Salma Sami Author 3: Bassam A. Zafar

Home energy management system has been selected as an attractive research issue due to its ability to enhance energy security by including devices, entertainment systems, security systems, environmental controls, etc. Home automation is incorporated as a potential technology to ensure efficient electricity performance without interruption, solve power demand problems and… Read full abstract & cite →

Home energy management multi-agent system real-time system energy recovery

Abstract doi.org/10.14569/IJACSA.2021.0120329 PDF

30

Trade-off between Energy Consumption and Transmission Rate in Mobile Ad-Hoc Network

Author 1: Ashraf Al Sharah Author 2: Mohammad Alhaj Author 3: Firas Al Naimat

Mobile Ad-Hoc Networks are decentralized systems of mobile nodes where each node is responsible for computing and retaining the routing and topology details. The autonomous nature of the nodes stresses more on the way of handling power consumptions. This raises a concern about how to improve the power efficiency that… Read full abstract & cite →

Coalition MANETs power-aware routing power consumption transmission power control-based transmission rate

Abstract doi.org/10.14569/IJACSA.2021.0120330 PDF

31

Real-Time Intelligent Thermal Comfort Prediction Model

Author 1: Farid Ali Mousa Author 2: Heba Hamdy Ali

Real-time prediction model of indoor thermal comfort depending on Momentum Back Propagation (MBP) function is established by using Arduino hardware and mobile application. The air temperature indoor, air velocity, and relative humidity are gathered via temperature sensor and transferred via Bluetooth to the mobile application to predicate thermal comfort. A… Read full abstract & cite →

Thermal comfort chicken swarm optimization momentum back propagation neural network bio-inspired optimization algorithm

Abstract doi.org/10.14569/IJACSA.2021.0120331 PDF

32

Potential Data Collections Methods for System Dynamics Modelling: A Brief Overview

Author 1: Aisyah Ibrahim Author 2: Hamdan Daniyal Author 3: Tuty Asmawaty Abdul Kadir Author 4: Adzhar Kamaludin

System Dynamics (SD) modelling is a highly complex process. Although the SD methodology has been discussed extensively in most breakthroughs and present literature, discussions on data collection methods for SD modelling are not explained in details in most studies. To date, comprehensive descriptions of knowledge extraction for SD modelling is… Read full abstract & cite →

System dynamics modelling data collection methods data source system dynamics methodology

Abstract doi.org/10.14569/IJACSA.2021.0120332 PDF

33

Novel Modelling of the Hash-based Authentication of Data in Dynamic Cloud Environment

Author 1: Anil Kumar G Author 2: Shantala C.P

A datacenter in a cloud environment houses a massive quantity of data in a distributed manner. However, with the increasing number of threats like data deduplication attack over the cloud environment, it is quite challenging to ascertain data's full-fledged security. In this regard, data integrity and security are highly questionable… Read full abstract & cite →

Cloud computing data deduplication data integrity data privacy data security

Abstract doi.org/10.14569/IJACSA.2021.0120333 PDF

34

Cybersecurity Awareness Level: The Case of Saudi Arabia University Students

Author 1: Wejdan Aljohni Author 2: Nazar Elfadil Author 3: Mutsam Jarajreh Author 4: Mwahib Gasmelsied

Cybersecurity plays an important role in reliance on digital equipment and programs to manage daily lives chores including the transmission and storage of personal information. Therefore, it is a global issue in our growing society, and it becomes increasingly important to measure and analyze the awareness of it. In this… Read full abstract & cite →

Cybersecurity awareness protection internet students higher education security awareness survey APAT

Abstract doi.org/10.14569/IJACSA.2021.0120334 PDF

35

Comparative Analysis of Secured Hash Algorithms for Blockchain Technology and Internet of Things

Author 1: Monika Parmar Author 2: Harsimran Jit Kaur

Cryptography algorithms play a vital role in Information Security and Management. To test the credibility, reliability of metadata exchanged between the sender and the recipient party of IoT applications different algorithms must be used. The hashing is also used for Electronic Signatures and based on how hard it is to… Read full abstract & cite →

Blockchain Technology IoT Secured Hash Algorithms IoT Security SHA MD5

Abstract doi.org/10.14569/IJACSA.2021.0120335 PDF

36

Proof-of-Review: A Review based Consensus Protocol for Blockchain Application

Author 1: Dodo Khan Author 2: Low Tang Jung Author 3: Manzoor Ahmed Hashmani

Blockchain is considered one of the most disruptive technologies of our time and in the last 2 decades andhas drawn attention from research and industrial communities. Blockchain is basically a distributed ledger with immutable records, mostly utilized to perform the transactions across various nodes after achieving the mutual consensus between… Read full abstract & cite →

Blockchain consensus protocol transaction chain review chain prove-of-review PoW PoS

Abstract doi.org/10.14569/IJACSA.2021.0120336 PDF

37

Movement Control of Smart Mosque’s Domes using CSRNet and Fuzzy Logic Techniques

Author 1: Anas H. Blasi Author 2: Mohammad Awis Al Lababede Author 3: Mohammed A. Alsuwaiket

Mosques are worship places of Allah and must be preserved clean, immaculate, provide all the comforts of the worshippers in them. The prophet's mosque in Medina/ Saudi Arabia is one of the most important mosques for Muslims. It occupies second place after the sacred mosque in Mecca/ Saudi Arabia, which… Read full abstract & cite →

Artificial intelligence CNN CSRnet fuzzy logic fuzzy control

Abstract doi.org/10.14569/IJACSA.2021.0120337 PDF

38

Correlating Crime and Social Media: Using Semantic Sentiment Analysis

Author 1: Rhea Mahajan Author 2: Vibhakar Mansotra

Crimes occur all over the world and with regularly changing criminal strategies, law enforcement agencies need to manage them adequately and productively. If these agencies have prior data on the crime or an early indication of the eventual felonious activity, it would encourage them to have some strategic preferences so… Read full abstract & cite →

Crimes social media Twitter BiLSTM semantic sentiment analysis

Abstract doi.org/10.14569/IJACSA.2021.0120338 PDF

39

A Hybrid Model for Documents Representation

Author 1: Dina Mohamed Author 2: Ayman El-Kilany Author 3: Hoda M. O. Mokhtar

Text representation is a critical issue for exploring the insights behind the text. Many models have been developed to represent the text in defined forms such as numeric vectors where it would be easy to calculate the similarity between the documents using the well-known distance measures. In this paper, we… Read full abstract & cite →

Document representation latent dirichlet allocation hierarchical latent dirichlet allocation Word2vec Isolation Forest

Abstract doi.org/10.14569/IJACSA.2021.0120339 PDF

40

Predicting Internet Banking Effectiveness using Artificial Model

Author 1: Ala Aldeen Al-Janabi

This research aims at building a prediction model to predict the effectiveness of internet banking (IB) in Qatar. The proposed model employs the aspect of hybrid approach through using the regression and neural network models. This study is one of the fewest to evaluate the effectiveness of IB through adopting… Read full abstract & cite →

Artificial Neural Network (ANN) internet banking (IB) Artificial Intelligence (AI) e-banking effectiveness regression model rapidminer

Abstract doi.org/10.14569/IJACSA.2021.0120340 PDF

41

Developing a Framework for Data Communication in a Wireless Network using Machine Learning Technique

Author 1: Somya Khidir Mohmmed Ataelmanan Author 2: Mostafa Ahmed Hassan Ali

The emergence of Internet of Things (IoT) has become a huge innovation for utilizing the enormous power of wireless media. The adaptation of smart devices, with intelligent networking, has greatly enhanced the traffic of the IoT environment. The present security mechanism is primarily focusing on specific areas such as content… Read full abstract & cite →

Anomaly detection internet of things wireless attacks artificial intelligence machine learning

Abstract doi.org/10.14569/IJACSA.2021.0120341 PDF

42

Floating Content: Experiences and Future Directions

Author 1: Shahzad Ali

Floating content is a promising communication paradigm based on pure ad hoc communications. It has a huge usage potential for various context-aware applications. In this paper, recent research related to floating content communication paradigm is presented. This paper focuses on some of the vital experiences ranging from analytical models to… Read full abstract & cite →

Floating content opportunistic communications

Abstract doi.org/10.14569/IJACSA.2021.0120342 PDF

43

A Collision-aware MAC Protocol for Efficient Performance in Wireless Sensor Networks

Author 1: Hamid Hajaje Author 2: Mounib Khanafer Author 3: Zine El Abidine Guennoun Author 4: Junaid Israr Author 5: Mouhcine Guennoun

Both IEEE 802.11 and IEEE 802.15.4 standards adopt the CSMA-CA algorithm to manage contending nodes’ access to the wireless medium. CSMA-CA utilizes the Binary Exponential Backoff (BEB) scheme to reduce the probability of packet collisions over the communication channel. However, BEB suffers from unfairness and degraded channel utilization, as it… Read full abstract & cite →

Wireless sensor networks beacon-enabled IEEE 802.15.4 binary exponent backoff adaptive backoff fairness power consumption reliability channel utilization

Abstract doi.org/10.14569/IJACSA.2021.0120343 PDF

44

Distinctive Context Sensitive and Hellinger Convolutional Learning for Privacy Preserving of Big Healthcare Data

Author 1: Sujatha K Author 2: Udayarani V

The collection and effectiveness of sensitive Big Data have grown with Information Technology (IT) development. While using sensitive Big Data to acquire relevant information, it becomes indispensable that irrelevant sensitive data are reduced to safeguard personal information in healthcare sector. Many privacy-preserving strategies have been applied in the recent years… Read full abstract & cite →

Big data information technology distinctive impact context sensitive hashing quasi-identifier Hellinger convolutional neural

Abstract doi.org/10.14569/IJACSA.2021.0120344 PDF

45

Big Data Analytics Framework for Childhood Infectious Disease Surveillance and Response System using Modified MapReduce Algorithm

Author 1: Mdoe Mwamnyange Author 2: Edith Luhanga Author 3: Sanket R. Thodge

Tanzania, like most East African countries, faces a great burden from the spread of preventable infectious childhood diseases. Diarrhea, acute respiratory infections (ARI), pneumonia, malnutrition, hepatitis, and measles are responsible for the majority of deaths amongst children aged 0-5 years. Infectious disease surveillance and response is the foundation of public… Read full abstract & cite →

Big data analytics childhood infectious diseases infectious disease surveillance system infectious disease report cases framework Hadoop healthcare big data map reduce

Abstract doi.org/10.14569/IJACSA.2021.0120345 PDF

46

Recognizing Human Emotions from Eyes and Surrounding Features: A Deep Learning Approach

Author 1: Md Nymur Rahman Shuvo Author 2: Shamima Akter Author 3: Md. Ashiqul Islam Author 4: Shazid Hasan Author 5: Muhammad Shamsojjaman Author 6: Tania Khatun

The need for an efficient intelligent system to detect human emotions is imperative. In this study, we proposed an automated convolutional neural network-based approach to recognize the human mental state from eyes and their surrounding features. We have applied deep convolutional neural network based Keras applications with the help of… Read full abstract & cite →

Human emotion recognition convolutional neural network (CNN) transfer learning fine-tuning VGG-16 Inception-ResNet -V2 DenseNet-201

Abstract doi.org/10.14569/IJACSA.2021.0120346 PDF

47

Novel Data Oriented Structure Learning Approach for the Diabetes Analysis

Author 1: Adel THALJAOUI

Diabetes mellitus is considered a significant disease an ever rising epidemic. Accordingly this disease represents a worldwide public-health-crisis. Several classification techniques have been recently employed for diabetes diagnosis, however only few researches have been dedicated to facilitating its analysis based on knowledge representation using probabilistic modelling. Bayesian Network as a… Read full abstract & cite →

Classification Bayesian Network structure learning score oriented approach diabetes analysis

Abstract doi.org/10.14569/IJACSA.2021.0120347 PDF

48

Optimal Routing based Load Balanced Congestion Control using MAODV in WANET Environment

Author 1: Kanthimathi S Author 2: JhansiRani P

A decentralized sort of network that can allow the nodes to communicate with them lacking any central controller is Wireless Ad hoc Networks (WANET). Network Congestions can befall on account of nodes' restricted Bandwidth (BW) together with dynamic topology. Network Congestions brings about data loss as it makes the Data… Read full abstract & cite →

Routing congestion control Wireless Ad Hoc Networks (WANET) Modified Ad hoc on-demand Distance Vector (MAODV) Levy Flight Based Black Widow Optimization (LF-BWO) Stochastic Gradient Descent Deep Learning Neural Network (SGD-DLNN)

Abstract doi.org/10.14569/IJACSA.2021.0120348 PDF

49

Smart Digital Forensic Framework for Crime Analysis and Prediction using AutoML

Author 1: Sajith A Johnson Author 2: S Ananthakumaran

Over the most recent couple of years, the greater part of the information, for example books, recordings, pictures, clinical, forensic, criminal and even the hereditary data of people are being pushed toward digitals and cyber-dataspaces. This problem requires sophisticated techniques to deal with the vast amounts of data. We propose… Read full abstract & cite →

Forensic investigation digital forensic automated machine learning smart forensic framework

Abstract doi.org/10.14569/IJACSA.2021.0120349 PDF

50

RETRACTED: Multi-level Protection (Mlp) Policy Implementation using Graph Database

Author 1: Lingala Thirupathi Author 2: Venkata Nageswara Rao Padmanabhuni

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 →

Database graph protection multi-level

Abstract doi.org/10.14569/IJACSA.2021.0120350 PDF

51

SGBBA: An Efficient Method for Prediction System in Machine Learning using Imbalance Dataset

Author 1: Saiful Islam Author 2: Umme Sara Author 3: Abu Kawsar Author 4: Anichur Rahman Author 5: Dipanjali Kundu Author 6: Diganta Das Dipta Author 7: A.N.M. Rezaul Karim Author 8: Mahedi Hasan

A real world big dataset with disproportionate classification is called imbalance dataset which badly impacts the predictive result of machine learning classification algorithms. Most of the datasets faces the class imbalance problem in machine learning. Most of the algorithms in machine learning work perfectly with about equal samples counts for… Read full abstract & cite →

Imbalanced dataset sub sample accuracy fraud confusion matrix bagging

Abstract doi.org/10.14569/IJACSA.2021.0120351 PDF

52

An Improved Multi-label Classifier Chain Method for Automated Text Classification

Author 1: Adeleke Abdullahi Author 2: Noor Azah Samsudin Author 3: Shamsul Kamal Ahmad Khalid Author 4: Zuhaila Ali Othman

Automated text classification is the task of grouping documents (text) automatically into categories from a predefined set. The conventional approach to classification involves mapping a single class label each to a data point (instance). In multi-label classification (MLC), the task is to develop models that could predict multiple class labels… Read full abstract & cite →

Text classification multi-label classification classifier chain particle swarm optimization genetic algorithm

Abstract doi.org/10.14569/IJACSA.2021.0120352 PDF

53

Efficient Task Scheduling in Cloud Computing using Multi-objective Hybrid Ant Colony Optimization Algorithm for Energy Efficiency

Author 1: Fatima Umar Zambuk Author 2: Abdulsalam Ya’u Gital Author 3: Mohammed Jiya Author 4: Nahuru Ado Sabon Gari Author 5: Badamasi Ja’afaru Author 6: Aliyu Muhammad

The efficiency of Internet services is determined by the Cloud computing process. Various challenges in computing are being faced, such as security, the efficient allocation of resources, which in turn results in the waste of resources. Researchers have explored a number of approaches over the past decade to overcome these… Read full abstract & cite →

Ant colony scheduling hybrid foraging cloud computing

Abstract doi.org/10.14569/IJACSA.2021.0120353 PDF

54

Motor Insurance Claim Status Prediction using Machine Learning Techniques

Author 1: Endalew Alamir Author 2: Teklu Urgessa Author 3: Ashebir Hunegnaw Author 4: Tiruveedula Gopikrishna

The insurance claim is a basic problem in insurance companies. Insurance insurers always have a challenge to the growing of insurance claim loss. Because there is the occurrence of claim fraud and the volume of claim data increases in the insurance companies. As a result, it is difficult to classify… Read full abstract & cite →

Motor insurance claim machine learning classification Random Forest (RF) Support Vector Machine (SVM) supervised learning

Abstract doi.org/10.14569/IJACSA.2021.0120354 PDF

55

Detecting Malware based on Analyzing Abnormal behaviors of PE File

Author 1: Lai Van Duong Author 2: Cho Do Xuan

Attack by spreading malware is a dangerous attack form that is very difficult to detect and prevent. Attack techniques that spread malware through users and then escalate privileges in the system are increasingly used by attackers. The three main methods and techniques for tracking and detecting malware that is being… Read full abstract & cite →

Malware portable executable file format detection malware abnormal behaviors machine learning deep learning

Abstract doi.org/10.14569/IJACSA.2021.0120355 PDF

56

Efficient and Secure Group based Collusion Resistant Public Auditing Scheme for Cloud Storage

Author 1: Smita Chaudhari Author 2: Gandharba Swain

Tremendous changes have been seen in the arena of cloud computing from previous years. Many organizations share their data or files on cloud servers to avoid infrastructure and maintenance costs. Employees from different departments create their specific groups and share sensitive information among group members. Revoked users from the group… Read full abstract & cite →

Public auditing collusion attack ring signature message authentication code indistinguishability obfuscation dynamic data

Abstract doi.org/10.14569/IJACSA.2021.0120356 PDF

57

Fog Network Area Management Model for Managing Fog-cloud Resources in IoT Environment

Author 1: Anwar Alghamdi Author 2: Ahmed Alzahrani Author 3: Vijey Thayananthan

The Internet of Things (IoT) paradigm is at the forefront of the present and future research activities. The enormous amount of sensing data needing to be processed increases dramatically in volume, variety, and velocity. In response, cloud computing was involved in handling the challenges of collecting, storing, and processing the… Read full abstract & cite →

Resource management job scheduling load balancing mobile agent software fog computing Internet of Things (IoT)

Abstract doi.org/10.14569/IJACSA.2021.0120357 PDF

58

Automata-based Algorithm for Multiple Word Matching

Author 1: Majed AbuSafiya

In this paper, an automata-based algorithm that finds the valid shifts of a given set of words W in text T is presented. Unlike known string matching algorithms, a preprocessing phase is applied to T and not to the words being searched for. In this phase, a deterministic finite state… Read full abstract & cite →

Algorithms finite state automata word matching KMP

Abstract doi.org/10.14569/IJACSA.2021.0120358 PDF

59

Question Answering Systems: A Systematic Literature Review

Author 1: Sarah Saad Alanazi Author 2: Nazar Elfadil Author 3: Mutsam Jarajreh Author 4: Saad Algarni

Question answering systems (QAS) are developed to answer questions presented in natural language by extracting the answer. The development of QAS is aimed at making the Web more suited to human use by eliminating the need to sift through a lot of search results manually to determine the correct answer… Read full abstract & cite →

Question answering systems syntax knowledge systems deep learning machine learning systematic literature review artificial intelligence

Abstract doi.org/10.14569/IJACSA.2021.0120359 PDF

60

Comprehensive Analysis of Flow Incorporated Neural Network based Lightweight Video Compression Architecture

Author 1: Sangeeta Author 2: Preeti Gulia Author 3: Nasib Singh Gill

The increasing video content over the internet motivated the exploration of novel approaches in the video compression domain. Though neural network based architectures have already emerge as de-facto in the field of image compression and analytics, their application in video compression also result in promising outputs. Adaptive and efficient compression… Read full abstract & cite →

Deep learning video compression autoencoder SSIM PSNR

Abstract doi.org/10.14569/IJACSA.2021.0120360 PDF

61

Empirical Study on Microsoft Malware Classification

Author 1: Rohit Chivukula Author 2: Mohan Vamsi Sajja Author 3: T. Jaya Lakshmi Author 4: Muddana Harini

A malware is a computer program which causes harm to software. Cybercriminals use malware to gain access to sensitive information that will be exchanged via software infected by it. The important task of protecting a computer system from a malware attack is to identify whether given software is a malware… Read full abstract & cite →

Multi-class classification malware detection XGBoost

Abstract doi.org/10.14569/IJACSA.2021.0120361 PDF

62

Smart Intersection Design for Traffic, Pedestrian and Emergency Transit Clearance using Fuzzy Inference System

Author 1: Aditi Agrawal Author 2: Rajeev Paulus

Traffic flow is regulated and controlled with the aid of traffic signals implemented at all major intersections in urban areas. With the increase in vehicles, the traditional control strategies are incapable of clearing heavy traffic which leads to long traffic queues and prolonged waiting time at intersections. Smart cities are… Read full abstract & cite →

Adaptive traffic light control smart intersection fuzzy logic emergency vehicle pedestrian crossing

Abstract doi.org/10.14569/IJACSA.2021.0120362 PDF

63

Computer Research Project Management

Author 1: Lassad Mejri Author 2: Henda Hajjami Ben Ghezala Author 3: Raja Hanafi

Most research project managers, laboratories directors, young researchers at the beginning stage of thesis or professional research projects leaders are well effective at dealing with planned, scheduled events — they know how to function in conducting their research projects according to traditional knowledge areas of classical processes lied to time… Read full abstract & cite →

Research projects computer research project ontology knowledge management project memory

Abstract doi.org/10.14569/IJACSA.2021.0120363 PDF

64

Clustering of Association Rules for Big Datasets using Hadoop MapReduce

Author 1: Salahadin A. Moahmmed Author 2: Mohamed A. Alasow Author 3: El-Sayed M. El-Alfy

Mining association rules is essential in the discovery of knowledge hidden in datasets. There are many efficient association rule mining algorithms. However, they may suffer from generating large number of rules when applied to big datasets. Large number of rules makes knowledge discovery a daunting task because too many rules… Read full abstract & cite →

Internet of Things big data mining clustering association rules Hadoop

Abstract doi.org/10.14569/IJACSA.2021.0120364 PDF

65

Recent Advancement in Speech Recognition for Bangla: A Survey

Author 1: Sadia Sultana Author 2: M. Shahidur Rahman Author 3: M. Zafar Iqbal

This paper presents a brief study of remarkable works done for the development of Automatic Speech Recognition (ASR) system for Bangla language. It discusses information of available speech corpora for this language and reports major contributions made in this research paradigm in the last decade. Some important design issues to… Read full abstract & cite →

Bangla ASR Bangla speech corpora speaker de-pendency vocabulary size classification approaches challenges

Abstract doi.org/10.14569/IJACSA.2021.0120365 PDF

66

Intrusion Detection using Deep Learning Long Short-term Memory with Wrapper Feature Selection Method

Author 1: Sana Al Azwari Author 2: Hamza Turabieh

Recently, many companies move to use cloud com-puting systems to enhance their performance and productivity. Using these cloud computing systems allows the execution of applications, data, and infrastructures on cloud platforms (i.e., online), which increase the number of attacks on such systems. As a resulting, building robust Intrusion detection systems… Read full abstract & cite →

Intrusion detection feature selection long short-term memory binary genetic algorithm

Abstract doi.org/10.14569/IJACSA.2021.0120366 PDF

67

Evaluation of Collaborative Filtering for Recommender Systems

Author 1: Maryam Al-Ghamdi Author 2: Hanan Elazhary Author 3: Aalaa Mojahed

Recently, due to the increasing amount of data on the Internet along with the increase in products’ purchasing via e-commerce websites, Recommender Systems (RS) play an important role in guiding customers to buy products they may prefer. Furthermore, these systems help the companies to advertise their products to the most… Read full abstract & cite →

Co-clustering collaborative filtering KNN NMF recommender systems slope one

Abstract doi.org/10.14569/IJACSA.2021.0120367 PDF

68

Deployment and Migration of Virtualized Services with Joint Optimization of Backhaul Bandwidth and Load Balancing in Mobile Edge-Cloud Environments

Author 1: Tarik Chanyour Author 2: Mohammed Oucamah Cherkaoui Malki

Mobile edge-cloud computing environments appear as a novel computing paradigm to offer effective processing and storage solutions for delay sensitive applications. Besides, the container based virtualization technology becomes solicited due to its natural lightweight and portability as well as its small migration overhead that leads to seamless service migration and… Read full abstract & cite →

Mobile edge-cloud computing delay-sensitive ser-vices container migration container deployment backhaul band-width load balancing

Abstract doi.org/10.14569/IJACSA.2021.0120368 PDF

69

Zero-resource Multi-dialectal Arabic Natural Language Understanding

Author 1: Muhammad Khalifa Author 2: Hesham Hassan Author 3: Aly Fahmy

A reasonable amount of annotated data is required for fine-tuning pre-trained language models (PLM) on down-stream tasks. However, obtaining labeled examples for different language varieties can be costly. In this paper, we investigate the zero-shot performance on Dialectal Arabic (DA) when fine-tuning a PLM on modern standard Arabic (MSA) data… Read full abstract & cite →

Natural language processing natural language understanding low-resource learning semi-supervised learning named entity recognition part-of-speech tagging sarcasm detec-tion pre-trained language models

Abstract doi.org/10.14569/IJACSA.2021.0120369 PDF

70

Distributed Mining of High Utility Sequential Patterns with Negative Item Values

Author 1: Manoj Varma Author 2: Saleti Sumalatha Author 3: Akhileshwar Reddy

The sequential pattern mining was widely used to solve various business problems, including frequent user click pattern, customer analysis of buying product, gene microarray data analysis, etc. Many studies were going on these pattern mining to extract insightful data. All the studies were mostly concentrated on high utility sequential pattern… Read full abstract & cite →

High utility sequential pattern mining big data utility mining negative utility distributed algorithms

Abstract doi.org/10.14569/IJACSA.2021.0120370 PDF

71

Deep Neural Network-based Relationship Identification Framework to Discriminate Fake Profile Over Social Media

Author 1: Suneet Joshi Author 2: Deepak Singh Tomar

Involvement of social media like personal, business and political propaganda activities, attracts anti-social activities and has also increased. Anti-social elements get a wider platform to spread negativity after hiding their identity behind fake and false profiles. In this paper, an analytical and methodological user identification framework is developed to significantly… Read full abstract & cite →

Social media anomaly detection malicious activity spam account fake account sockpuppet deep neural network

Abstract doi.org/10.14569/IJACSA.2021.0120371 PDF

72

A Parameter-free Clustering Algorithm based K-means

Author 1: Said Slaoui Author 2: Zineb Dafir

Clustering is one of the relevant data mining tasks, which aims to process data sets in an effective way. This paper introduces a new clustering heuristic combining the E-transitive heuristic adapted to quantitative data and the k-means algorithm with the goal of ensuring the optimal number of clusters and the… Read full abstract & cite →

Data mining clustering overlapping clustering k-means cluster centre initialization

Abstract doi.org/10.14569/IJACSA.2021.0120372 PDF

73

Arabic Tweets Sentiment Analysis about Online Learning during COVID-19 in Saudi Arabia

Author 1: Asma Althagafi Author 2: Ghofran Althobaiti Author 3: Hosam Alhakami Author 4: Tahani Alsubait

The COVID-19 pandemic can be considered as the greatest challenge of our time and is defining and re-shaping many aspects of our life such as learning and teaching, especially in the academic year of 2020. While some people could adapt quickly to online learning, others consider it to be inefficient… Read full abstract & cite →

Social media analytics sentiment analysis online learning Arabic tweets

Abstract doi.org/10.14569/IJACSA.2021.0120373 PDF

74

A Framework for Data Research in GIS Database using Meshing Techniques and the Map-Reduce Algorithm

Author 1: Abdoulaye SERE Author 2: Jean Serge Dimitri OUATTARA Author 3: Didier BASSOLE Author 4: Jose Arthur OUEDRAOGO Author 5: Moubaric KABORE

Everywhere, centers, laboratories, hospital and pharmacy have faced many challenges to delivery quality of health service due to constraints related to limited availability of resources such as drugs, places, equipments and specialists, often in health deficit with increasing number of patients, for instance during COVID-19 pandemic. Late information on these… Read full abstract & cite →

Map-reduce big data digital health classification Geographic Information System (GIS) COVID-19 Spark Mon-goDb NewSQL NoSQL

Abstract doi.org/10.14569/IJACSA.2021.0120374 PDF

75

Pitch Contour Stylization by Marking Voice Intonation

Author 1: Sakshi Pandey Author 2: Amit Banerjee Author 3: Subramaniam Khedika

The stylization of pitch contour is a primary task in the speech prosody for the development of a linguistic model. The stylization of pitch contour is performed either by statistical learning or statistical analysis. The recent statistical learning models require a large amount of data for training purposes and rely… Read full abstract & cite →

Pitch contour pitch marking linear stylization straight-line approximation

Abstract doi.org/10.14569/IJACSA.2021.0120375 PDF

76

A Multi-purpose Data Pre-processing Framework using Machine Learning for Enterprise Data Models

Author 1: Venkata Ramana B Author 2: Narsimha G

Growth in the data processing industry has automated decision making for various domains such as engineering, education and also many fields of research. The increased growth has also accelerated higher dependencies on the data driven business decisions on enterprise scale data models. The accuracy of such decisions solely depends on… Read full abstract & cite →

Standard domain length domain specific rule engine double differential clustering change percentage dependency map

Abstract doi.org/10.14569/IJACSA.2021.0120376 PDF

77

Deep Attention on Measurable and Behavioral-driven Complete Service Composition Design Process

Author 1: Ilyass El Kassmi Author 2: Radia Belkeziz Author 3: Zahi Jarir

The web service technology has still proved its effectiveness in the digital revolution we are facing. This success unfortunately raises more and more complex obstacles, particularly related to the service composition. The integration of Non-Functional Requirements (NFRs) in each step of service composition process, starting with abstract service composition specification… Read full abstract & cite →

Non-Functional requirements composition behavioral non-functional requirements quantifiable non-functional requirements model checking web service composition formalization

Abstract doi.org/10.14569/IJACSA.2021.0120377 PDF

78

Concatenative Speech Recognition using Morphemes

Author 1: Afshan Jafri

This paper adopts a novel sub-lexical approach to construct viable continuous speech recognition systems with scalable vocabulary that use the components of words to form the elements of pronunciation dictionaries and recognition lattices. The proposed Concatenative ASR family utilizes combination rules between morphemes (prefixes, stems, and suffixes), along with their… Read full abstract & cite →

Morphemes sub-lexemes speech recognition Arabic concatenative morphology

Abstract doi.org/10.14569/IJACSA.2021.0120378 PDF

79

Multiclass Vehicle Classification Across Different Environments

Author 1: Aisha S. Azim Author 2: Afshan Jafri Author 3: Ashraf Alkhairy

Vehicle detection and classification are necessary components in a variety of useful applications related to traffic, security, and autonomous driving systems. Many studies have focused on recognizing vehicles from the point of view of a single perspective, such as the rear of other cars from the driving seat, but not… Read full abstract & cite →

Vehicle detection vehicle recognition multiclass learning boosting GentleBoost

Abstract doi.org/10.14569/IJACSA.2021.0120379 PDF

80

Arabic Sign Language Recognition using Faster R-CNN

Author 1: Rahaf Abdulaziz Alawwad Author 2: Ouiem Bchir Author 3: Mohamed Maher Ben Ismail

Deafness does not restrict its negative effect on the person’s hearing, but rather on all aspect of their daily life. Moreover, hearing people aggravated the issue through their reluctance to learn sign language. This resulted in a constant need for human translators to assist deaf person which represents a real… Read full abstract & cite →

Arabic sign language recognition supervised learning deep learning faster region based convolutional neural network

Abstract doi.org/10.14569/IJACSA.2021.0120380 PDF

81

Attack Resilient Trust and Signature-based Intrusion Detection Systems

Author 1: Boniface Kabaso Author 2: Saber A. Aradeh Author 3: Ademola P. Abidoye

Wireless sensor networks have been widely applied in many areas due to their unique characteristics. These have exposed them to different types of active and passive attacks. In the literature, several solutions have been proposed to mitigate these attacks. Most of the proposed solutions are too complex to be implemented… Read full abstract & cite →

Wireless sensor network routing attacks public-key cryptography packet dropping denial of service attacks

Abstract doi.org/10.14569/IJACSA.2021.0120381 PDF

82

Factors Influencing the Use of Wireless Sensor Networks in the Irrigation Field

Author 1: Loubna HAMAMI Author 2: Bouchaib NASSEREDDINE

Battle control, natural disasters discovery, water monitoring, smart homes, agricultural applications, health care, weather forecasts, smart buildings, intrusion detection, medical devices, and more are the application areas of wireless sensor networks (WSNs). WSNs can help bring about revolutionary changes in important areas of our world. As a result, this technology… Read full abstract & cite →

Cost energy consumption and management irrigation smart irrigation wireless sensor network WSN deployment

Abstract doi.org/10.14569/IJACSA.2021.0120382 PDF

83

Deep Learning Algorithm for Classification of Cerebral Palsy from Functional Magnetic Resonance Imaging (fMRI)

Author 1: Pradeepa Palraj Author 2: Gopinath Siddan

Cerebral palsy is a disorder of neurology that may be caused by prenatal, perinatal or postnatal reasons that result in the failure of motor functioning in children besides mental well-being. Referring to the location of brain injury and the effect of it on the muscle tone, cerebral palsy is classified… Read full abstract & cite →

Cerebral palsy deep neural network functional magnetic resonance image

Abstract doi.org/10.14569/IJACSA.2021.0120383 PDF