IJACSA Vol. 14 Issue 3 (2023)

1

An Ontology-driven DBpedia Quality Enhancement to Support Entity Annotation for Arabic Text

Author 1: Adham Kahlawi

Improving NLP outputs by extracting structured data from unstructured data is crucial, and several tools are available for the English language to achieve this objective. However, little attention has been paid to the Arabic language. This research aims to address this issue by enhancing the quality of DBpedia data. One… Read full abstract & cite →

Entity annotation semantics annotation DBpedia Arabic language ontology semantic web linked open data

Abstract doi.org/10.14569/IJACSA.2023.0140301 PDF

2

Illicit Activity Detection in Bitcoin Transactions using Timeseries Analysis

Author 1: Rohan Maheshwari Author 2: Sriram Praveen V A Author 3: Shobha G Author 4: Jyoti Shetty Author 5: Arjuna Chala Author 6: Hugo Watanuki

A key motivator for the usage of cryptocurrency such as bitcoin in illicit activity is the degree of anonymity provided by the alphanumeric addresses used in transactions. This however does not mean that anonymity is built into the system as the transactions being made are still subject to the human… Read full abstract & cite →

Bitcoin time-series analysis HPCC systems random time interval illicit activity detection

Abstract doi.org/10.14569/IJACSA.2023.0140302 PDF

3

Strategic Monitoring for Efficient Detection of Simultaneous APT Attacks with Limited Resources

Author 1: Fan Shen Author 2: Zhiyuan Liu Author 3: Levi Perigo

Advanced Persistent Threats (APT) are a type of sophisticated multistage cyber attack, and the defense against APT is challenging. Existing studies apply signature-based or behavior-based methods to analyze monitoring data to detect APT, but little research has been dedicated to the important problem of addressing APT detection with limited resources… Read full abstract & cite →

Advanced persistent threats intrusion detection LSTM multi-armed bandit

Abstract doi.org/10.14569/IJACSA.2023.0140303 PDF

4

Deep Learning Algorithm based Wearable Device for Basketball Stance Recognition in Basketball

Author 1: Lan Jiang Author 2: Dongxu Zhang

With the continuous improvement of technology, modern sports training is gradually developing towards precision and efficiency, which requires more accurate identification of athletes' sports stances. The study first establishes a classification structure of basketball stance, then designs a hardware module to collect different stance data by using inertial sensors, thus… Read full abstract & cite →

Deep learning wearable devices basketball sports pose CNN

Abstract doi.org/10.14569/IJACSA.2023.0140304 PDF

5

Dynamic Hardware Redundancy Approaches Towards Improving Service Availability in Fog Computing

Author 1: Sara Alraddady Author 2: Ben Soh Author 3: Mohammed AlZain Author 4: Alice Li

The distributed nature of fog computing is designed to alleviate bottleneck traffic congestion which happens when a massive number of devices try to connect to more powerful computing resources simultaneously. Fog computing focuses on bringing data processing geographically closer to data source utilizing existing computing resources such as routers and… Read full abstract & cite →

Fog computing fault tolerance Markov chain hardware redundancy

Abstract doi.org/10.14569/IJACSA.2023.0140305 PDF

6

Eye Contact as a New Modality for Man-machine Interface

Author 1: Syusuke Kobayashi Author 2: Pitoyo Hartono

In daily life, people use many appliances, where different machines and tools should be operated with their specialized interfaces. These specialized interfaces are often not intuitive and thus require considerable time and effort to master. On the other hand, human communications are rich in modalities and mostly intuitive. One of… Read full abstract & cite →

Eye contact man-machine interface non-verbal communication object detection neural network

Abstract doi.org/10.14569/IJACSA.2023.0140306 PDF

7

Pancreatic Cancer Segmentation and Classification in CT Imaging using Antlion Optimization and Deep Learning Mechanism

Author 1: Radhia Khdhir Author 2: Aymen Belghith Author 3: Salwa Othmen

Pancreatic cancer, a fatal type of cancer, has a very poor prognosis. To monitor, forecast, and categorise cancer presence, automated pancreatic cancer segmentation and classification utilising Computer-Aided Diagnostic (CAD) model can be used. Furthermore, deep learning algorithms can provide in-depth diagnostic knowledge and precise image analysis for therapeutic usage. In… Read full abstract & cite →

Pancreatic cancer antlion optimization deep learning convolutional neural network

Abstract doi.org/10.14569/IJACSA.2023.0140307 PDF

8

A New Task Scheduling Framework for Internet of Things based on Agile VNFs On-demand Service Model and Deep Reinforcement Learning Method

Author 1: Li YANG

Recent innovations in the Internet of Things (IoT) have given rise to IoT applications that require quick response times and low latency. Fog computing has proven to be an effective platform for handling IoT applications. It is a significant challenge to deploy fog computing resources effectively because of the heterogeneity… Read full abstract & cite →

Internet of things task scheduling edge computing resource allocation

Abstract doi.org/10.14569/IJACSA.2023.0140308 PDF

9

A Blockchain-based Three-factor Mutual Authentication System for IoT using PUFs and Group Signatures

Author 1: Meriam Fariss Author 2: Ahmed Toumanari

The widespread adoption of Internet of Things has brought many benefits to society, such as increased efficiency and convenience in various aspects of daily life. However, this has also led to a rise in security threats. Moreover, resource-constrained feature of IoT devices makes them vulnerable to various attacks that compromise… Read full abstract & cite →

Internet of Things blockchain mutual authentication physical unclonable functions biometrics group signatures elliptic curve cryptography

Abstract doi.org/10.14569/IJACSA.2023.0140309 PDF

10

Self-Adapting Security Monitoring in Eucalyptus Cloud Environment

Author 1: Salman Mahmood Author 2: Nor Adnan Yahaya Author 3: Raza Hasan Author 4: Saqib Hussain Author 5: Mazhar Hussain Malik Author 6: Kamal Uddin Sarker

This paper discusses the importance of virtual machine (VM) scheduling strategies in cloud computing environments for handling the increasing number of tasks due to virtualization and cloud computing technology adoption. The paper evaluates legacy methods and specific VM scheduling algorithms for the Eucalyptus cloud environment and compare existing algorithms using… Read full abstract & cite →

Component VM scheduling cloud computing Eucalyptus virtualization power efficiency self-adapting security monitoring system tenant-driven customization dynamic events adaptation manager master adaptation drivers

Abstract doi.org/10.14569/IJACSA.2023.0140310 PDF

11

Optimal Training Ensemble of Classifiers for Classification of Rice Leaf Disease

Author 1: Sridevi Sakhamuri Author 2: K Kiran Kumar

Rice is one of the most extensively cultivated crops in India. Leaf diseases can have a significant impact on the productivity and quality of a rice crop. Since it has a direct impact on the economy and food security, the detection of rice leaf diseases is the most important factor… Read full abstract & cite →

Rice Leaf Modified MBP Bi-GRU Improved BIRCH OLIHFA-BA Algorithm

Abstract doi.org/10.14569/IJACSA.2023.0140311 PDF

12

Optimal Land-cover Classification Feature Selection in Arid Areas based on Sentinel-2 Imagery and Spectral Indices

Author 1: Mohammed Saeed Author 2: Asmala Ahmad Author 3: Othman Mohd

Adding spectral indices to Sentinel-2 spectral bands to improve land-cover (LC) classification with limited sample size can affect the accuracy due to the curse of dimensionality. In this study, we compared the performance metrics of Random Forest (RF) classifier with three different combinations of features for land cover classification in… Read full abstract & cite →

Feature selection land cover sentinel-2 arid areas random forest accuracy

Abstract doi.org/10.14569/IJACSA.2023.0140312 PDF

13

An Add-on CNN based Model for the Detection of Tuberculosis using Chest X-ray Images

Author 1: Roopa N K Author 2: Mamatha G S

Machine Learning has been potentially contributing towards smart diagnosis in the medical domain for more than a decade with a target towards achieving higher accuracy in detection and classification. However, from the perspective of medical image processing, the contribution of machine learning towards segmentation is not been much to find… Read full abstract & cite →

Chest X-Ray machine learning convolution neural network segmentation detection classification

Abstract doi.org/10.14569/IJACSA.2023.0140313 PDF

14

Brightness and Contrast Enhancement Method for Color Images Via Pairing Adaptive Gamma Correction and Histogram Equalization

Author 1: Bilal Bataineh

For enhanced adaptability to poor light enhancement whilst achieving high image contrast, a new method for color image correction based on the advantages of non-linear function in grey transformation and histogram equalization techniques is proposed in this work. Firstly, the original red, green and blue (RGB) image is converted into… Read full abstract & cite →

Color image gamma correction histogram equalization image contrast image enhancement

Abstract doi.org/10.14569/IJACSA.2023.0140314 PDF

15

A Study on Institution Improvement Plans for the National Supercomputing Joint Utilization System in South Korea

Author 1: Hyungwook Shim Author 2: Myungju Ko Author 3: Yungeun Choe Author 4: Jaegyoon Hahm

The purpose of this paper is to discover institutional gaps in the supercomputing joint utilization system that the government is actively promoting as an alternative to the problem of shortage of domestic supercomputing resources. The institutional gaps were discovered by examining the current status of laws, top-level plans, and operating… Read full abstract & cite →

Component supercomputer joint utilization system institutional gap national supercomputing center specialized center

Abstract doi.org/10.14569/IJACSA.2023.0140315 PDF

16

Efficient Handwritten Signatures Identification using Machine Learning

Author 1: Ibraheem M. Alharbi

Any agreement or contract between two or more parties requires at least one party to employ a signature as evidence of the other parties' identities and as a means of establishing the parties' intent. As a result, more people are curious about Signature Recognition than other biometric methods like fingerprint… Read full abstract & cite →

K-nearest neighbor histogram of oriented gradients local binary patterns false acceptance rate Fourier descriptors

Abstract doi.org/10.14569/IJACSA.2023.0140316 PDF

17

An AHP based Task Scheduling and Optimal Resource Allocation in Cloud Computing

Author 1: Syed Karimunnisa Author 2: Yellamma Pachipala

Cloud systems by virtue characterize ultimate resource utilization with ever evolving user requirements facilitating adaptivity. With a scope of enhancing the QoS needs of user applications, numerous factors are considered for tunning among which Task scheduling promises to grab focus. The Task Scheduling mechanism ascertains improvement by distributing the subtasks… Read full abstract & cite →

Task scheduling AHP TS QoS optimization CUCMCA

Abstract doi.org/10.14569/IJACSA.2023.0140317 PDF

18

DMobile-ELA: Digital Image Forgery Detection via cascaded Atrous MobileNet and Error Level Analysis

Author 1: Karma M. Fathalla Author 2: Malak Sowelem Author 3: Radwa Fathalla

With the current developments in technology, not only has digital media become widely available, the editing and manipulation of digital media has become equally available to everyone without any prior experience. The need for detecting manipulated images has grown immensely as it can now cause false information in news media… Read full abstract & cite →

Tampering detection MobileNet error level analysis CASIAv2.0

Abstract doi.org/10.14569/IJACSA.2023.0140318 PDF

19

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks

Author 1: Loan Dao Author 2: Ngoc Quoc Ly

Over the past decade, Medical Image Segmentation (MIS) using Deep Neural Networks (DNNs) has achieved significant performance improvements and holds great promise for future developments. This paper presents a comprehensive study on MIS based on DNNs. Intelligent Vision Systems are often evaluated based on their output levels, such as Data… Read full abstract & cite →

Medical image segmentation (MIS) SOTA solutions in MIS XAI early disease diagnosis

Abstract doi.org/10.14569/IJACSA.2023.0140319 PDF

20

An Ensemble Multi-Layered Sentiment Analysis Model (EMLSA) for Classifying the Complex Datasets

Author 1: Penubaka Balaji Author 2: D. Haritha

Sentiment analysis is one domain that analyzes the feelings and emotions of the users based on their text messages. Sentiment analysis of short messages, reviews in online social media (OSM), and social networking sites (SNS) messages gives the analysis of given text data. Processing short text and SNS messages is… Read full abstract & cite →

Sentiment analysis online social media social networking sites VADER recurrent neural networks

Abstract doi.org/10.14569/IJACSA.2023.0140320 PDF

21

Dynamic Programming Approach in Aggregate Production Planning Model under Uncertainty

Author 1: Umi Marfuah Author 2: Mutmainah Author 3: Andreas Tri Panudju Author 4: Umar Mansyuri

In order to achieve a competitive edge in the market, one of the most essential components of effective operations management is aggregate production planning, abbreviated as APP. The sources of uncertainty discussed in the APP model include uncertainty in demand, uncertainty of production costs, and uncertainty of storage costs. The… Read full abstract & cite →

Aggregate production planning artificial neural network dynamic programming fuzzy logic

Abstract doi.org/10.14569/IJACSA.2023.0140321 PDF

22

A Predictive Approach to Improving Agricultural Productivity in Morocco through Crop Recommendations

Author 1: Rachid Ed-daoudi Author 2: Altaf Alaoui Author 3: Badia Ettaki Author 4: Jamal Zerouaoui

Agricultural productivity is a critical component of sustainable economic growth, particularly in developing countries. Morocco, with its vast agricultural potential, is in need of advanced technologies to optimize crop productivity. Precision farming is one such technology, which incorporates the use of artificial intelligence and machine learning to analyze data from… Read full abstract & cite →

Precision agriculture artificial intelligence machine learning crop recommendation Morocco

Abstract doi.org/10.14569/IJACSA.2023.0140322 PDF

23

The Research on the Motion Control of the Sorting Manipulator based on Machine Vision

Author 1: Kuandong Peng Author 2: Zufeng Wang

With the development of production technology, manipulators are gradually introduced in advanced production manufacturing industries to complete some tasks such as picking and sorting. However, the traditional manipulator has a complicated sorting process and low production efficiency. In order to improve the accuracy of sorting and reduce the labor intensity… Read full abstract & cite →

Machine vision manipulator motion control camera calibration item sorting

Abstract doi.org/10.14569/IJACSA.2023.0140323 PDF

24

Frequency Domain Improvements to Texture Discrimination Algorithms

Author 1: Ibrahim Cem Baykal

As the production speeds of factories increase, it becomes more and more challenging to inspect products in real time. The goal of this article is to come up with a computationally efficient texture discrimination algorithm by first testing their ability to localize defects and then increase their efficiency by removing… Read full abstract & cite →

Machine vision ANN SVM pattern recognition co-occurrence texture feature extraction

Abstract doi.org/10.14569/IJACSA.2023.0140324 PDF

25

An Autonomous Multi-Agent Framework using Quality of Service to prevent Service Level Agreement Violations in Cloud Environment

Author 1: Jaspal Singh Author 2: Major Singh Goraya

Cloud is a specialized computing technology accommodating several million users to provide seamless services via the internet. The extension of this reverenced technology is growing abruptly with the increase in the number of users. One of the major issues with the cloud is that it receives a huge volume of… Read full abstract & cite →

Cloud computing multi-agent framework SLA violations energy consumption history agent Poisson distribution

Abstract doi.org/10.14569/IJACSA.2023.0140325 PDF

26

An Efficient Deep Learning based Hybrid Model for Image Caption Generation

Author 1: Mehzabeen Kaur Author 2: Harpreet Kaur

In the recent yeas, with the increase in the use of different social media platforms, image captioning approach play a major role in automatically describe the whole image into natural language sentence. Image captioning plays a significant role in computer-based society. Image captioning is the process of automatically generating the… Read full abstract & cite →

CNN RNN LSTM YOLO

Abstract doi.org/10.14569/IJACSA.2023.0140326 PDF

27

Collaborative based Vehicular Ad-hoc Network Intrusion Detection System using Optimized Support Vector Machine

Author 1: Azath M Author 2: Vaishali Singh

The Vehicular Ad hoc Network (VANET) can be used to provide secured information to the user vehicles. However, these days the immunity of safeguarding the information from vulnerabilities and threats are of great challenge. Therefore, it is necessary to provide a secured solution for the improvement of security with the… Read full abstract & cite →

Vehicular Ad hoc network intrusion detection tabu search based particle swarm optimization war strategy optimization support vector machine

Abstract doi.org/10.14569/IJACSA.2023.0140327 PDF

28

Content-Based Image Retrieval using Encoder based RGB and Texture Feature Fusion

Author 1: Charulata Palai Author 2: Pradeep Kumar Jena Author 3: Satya Ranjan Pattanaik Author 4: Trilochan Panigrahi Author 5: Tapas Kumar Mishra

Recent development of digital photography and the use of social media using smartphones has boosted the demand for image query by its visual semantics. Content-Based Image Retrieval (CBIR) is a well-identified research area in the domain of image and video data analysis. The major challenges of a CBIR system are… Read full abstract & cite →

CBIR CNN Encoded Feature LBP CSLBP LDP feature fusion

Abstract doi.org/10.14569/IJACSA.2023.0140328 PDF

29

Knowledge Graph based Representation to Extract Value from Open Government Data

Author 1: Kawtar YOUNSI DAHBI Author 2: Dalila CHIADMI Author 3: Hind LAMHARHAR

Open government data refers to data that is made available by government entities to be freely reused by anyone and for any purpose. The potential benefits of open government data are numerous and include increasing transparency and accountability, enhancing citizens' quality of life, and boosting innovation. However, realizing these benefits… Read full abstract & cite →

Knowledge graph open government data knowledge graph construction public procurement fraud detection

Abstract doi.org/10.14569/IJACSA.2023.0140329 PDF

30

Deep Learning CNN Model-Based Anomaly Detection in 3D Brain MRI Images using Feature Distribution Similarity

Author 1: Amarendra Reddy Panyala Author 2: M. Baskar

Towards detecting an anomaly in brain images, different approaches are discussed in the literature. Features like white mass values and shape features have identified the presence of brain tumors. Various deep learning models like the neural network has been adapted to the problem tumor detection and suffers to meet maximum… Read full abstract & cite →

Deep learning brian tumor disease prediction anomaly detection CNN FDS ACW

Abstract doi.org/10.14569/IJACSA.2023.0140330 PDF

31

An Algorithm Transform DNA Sequences to Improve Accuracy in Similarity Search

Author 1: Hoang Do Thanh Tung Author 2: Phuong Vuong Quang

Similarity search of DNA sequences is a fundamental problem in the bioinformatics, serving as the basis for many other problems. In this, the calculation of the similarity value between sequences is the most important, with the Edit distance (ED) commonly used due to its high accuracy, but slow speed. With… Read full abstract & cite →

Similarity search data transformation DNA sequence big data

Abstract doi.org/10.14569/IJACSA.2023.0140331 PDF

32

An Automated Text Document Classification Framework using BERT

Author 1: Momna Ali Shah Author 2: Muhammad Javed Iqbal Author 3: Neelum Noreen Author 4: Iftikhar Ahmed

Due to the rapid advancement of technology, the volume of online text data from numerous various disciplines is increasing significantly over time. Therefore, more work is needed to create systems that can effectively classify text data in accordance with its content, facilitating processing and the extraction of crucial information. Since… Read full abstract & cite →

Deep learning text classification BERT

Abstract doi.org/10.14569/IJACSA.2023.0140332 PDF

33

Experimental Evaluation of Genetic Algorithms to Solve the DNA Assembly Optimization Problem

Author 1: Hachemi Bennaceur Author 2: Meznah Almutairy Author 3: Nora Alqhtani

This paper aims to highlight the motivations for investigating genetic algorithms (GAs) to solve the DNA Fragment Assembly (DNAFA) problem. DNAFA problem is an optimization problem that attempts to reconstruct an original DNA sequence by finding the shortest DNA sequence from a given set of fragments. This paper is a… Read full abstract & cite →

Genetic algorithms traveling salesman problem quadratic assignment problem DNA fragments assembly problem

Abstract doi.org/10.14569/IJACSA.2023.0140333 PDF

34

Fake News Classification Web Service for Spanish News by using Artificial Neural Networks

Author 1: Patricio Xavier Moreno-Vallejo Author 2: Gisel Katerine Bastidas-Guacho Author 3: Patricio Rene Moreno-Costales Author 4: Jefferson Jose Chariguaman-Cuji

The use of digital media, such as social networks, has promoted the spreading of fake news on a large scale. Therefore, several Machine Learning techniques, such as artificial neural networks, have been used for fake news detection and classification. These techniques are widely used due to their learning capabilities. Besides… Read full abstract & cite →

Fake news LSTM classification web service machine learning

Abstract doi.org/10.14569/IJACSA.2023.0140334 PDF

35

Support Vector Regression based Localization Approach using LoRaWAN

Author 1: Saeed Ahmed Magsi Author 2: Mohd Haris Bin Md Khir Author 3: Illani Bt Mohd Nawi Author 4: Abdul Saboor Author 5: Muhammad Aadil Siddiqui

The Internet of Things (IoT) domain has experienced significant growth in recent times. There has been extensive research conducted in various areas of IoT, including localization. Localization of Long Range (LoRa) nodes in outdoor environments is an important task for various applications, including asset tracking and precision agriculture. In this… Read full abstract & cite →

LoRaWAN localization RSSI fingerprinting support vector regression

Abstract doi.org/10.14569/IJACSA.2023.0140335 PDF

36

Text-based Sarcasm Detection on Social Networks: A Systematic Review

Author 1: Amal Alqahtani Author 2: Lubna Alhenaki Author 3: Abeer Alsheddi

Sarcasm is a sophisticated phenomenon used for conveying a meaning that differs from what is being said, and it is usually used to express displeasure or ridicule others. Sentiment analysis is a process of uncovering the subjective information from a text. Detecting figurative language such as irony or sarcasm, is… Read full abstract & cite →

Sentiment analysis figurative language sarcasm detection irony machine learning deep learning transformer

Abstract doi.org/10.14569/IJACSA.2023.0140336 PDF

37

Current Development, Challenges, and Future Trends in Cloud Computing: A Survey

Author 1: Hazzaa N. Alshareef

Cloud computing is a new paradigm in information and communication technologies (ICTs) that provides the ability to access shared pools of different computing resources that are related to many cloud users within a pay-per-use or on-demand approach. It has transformed the delivery model of ICT from a product to a… Read full abstract & cite →

Cloud computing security challenges machine learning resource scheduling information and communication technologies

Abstract doi.org/10.14569/IJACSA.2023.0140337 PDF

38

A High-Performance Approach for Irregular License Plate Recognition in Unconstrained Scenarios

Author 1: Hoanh Nguyen

This paper proposes a novel framework for locating and recognizing irregular license plates in real-world complex scene images. In the proposed framework, an efficient deep convolutional neural network (CNN) structure specially designed for keypoint estimation is first employed to predict the corner points of license plates. Then, based on the… Read full abstract & cite →

License plate recognition deep learning convolutional neural network keypoint detector YOLO detector

Abstract doi.org/10.14569/IJACSA.2023.0140338 PDF

39

Proxy Re-encryption Scheme based on the Timed-release in Edge Computing

Author 1: Yifeng Yin Author 2: Wanyi Zhou Author 3: Zhaobo Wang Author 4: Yong Gan Author 5: Yanhua Zhang

With the growth of Industrial Internet, various types of data show explosive growth. Data is being moved from the cloud to the edge for computing more frequently and edge computing becomes an important factor affecting the deep application of Industrial Internet platforms. However, the security issue of data transmission sharing… Read full abstract & cite →

Timed-release edge-computing multi-dimensional virtual permutation proxy re-encryption symmetric encryption

Abstract doi.org/10.14569/IJACSA.2023.0140339 PDF

40

Automatic Detection of Software Defects based on Machine Learning

Author 1: Nawal Elshamy Author 2: Amal AbouElenen Author 3: Samir Elmougy

Defects in software are one of the critical problems in software engineering community because they provide inaccurate results and negatively affect the quality and reliability of the software. These defects must be detected in the early stages of software development. Researchers had used Software Defect Detection (SDD) techniques to allow… Read full abstract & cite →

Software defect detection NDSGA-II hyperband imbalance dataset

Abstract doi.org/10.14569/IJACSA.2023.0140340 PDF

41

Balancing Technological Advances with User Needs: User-centered Principles for AI-Driven Smart City Healthcare Monitoring

Author 1: Ali H. Hassan Author 2: Riza bin Sulaiman Author 3: Mansoor A. Abdulgabber Author 4: Hasan Kahtan

In recent years, the integration of artificial intelligence (AI) technologies has greatly benefited smart city healthcare, meeting the growing demand for affordable, efficient, and real-time healthcare services. Patient monitoring is one area where artificial intelligence has shown great promise. Improved health outcomes have been made possible by the advancement of… Read full abstract & cite →

Smart healthcare patient monitoring smart city artificial intelligence user-centered

Abstract doi.org/10.14569/IJACSA.2023.0140341 PDF

42

Investigation of Combining Deep Learning Object Recognition with Drones for Forest Fire Detection and Monitoring

Author 1: Mimoun YANDOUZI Author 2: Mounir GRARI Author 3: Mohammed BERRAHAL Author 4: Idriss IDRISSI Author 5: Omar MOUSSAOUI Author 6: Mostafa AZIZI Author 7: Kamal GHOUMID Author 8: Aissa KERKOUR ELMIAD

Forest fires are a global environmental problem that can cause significant damage to natural resources and human lives. The increasing frequency and severity of forest fires have resulted in substantial losses of natural resources. To mitigate this, an effective fire detection and monitoring system is crucial. This work aims to… Read full abstract & cite →

Forest fire deep learning drones unmanned aerial vehicles object detection YOLO Faster R-CNN

Abstract doi.org/10.14569/IJACSA.2023.0140342 PDF

43

Method for Frequent High Resolution of Optical Sensor Image Acquisition using Satellite-Based SAR Image for Disaster Mitigation

Author 1: Kohei Arai Author 2: Yushin Nakaoka Author 3: Osamu Fukuda Author 4: Nobuhiko Yamaguchi Author 5: Wen Liang Yeoh Author 6: Hiroshi Okumura

Method for frequent high resolution of optical sensor imagery data acquisition from satellite-based SAR (Synthetic Aperture Radar) image for disaster mitigation is proposed. The proposed method is based on Generative Adversarial Network: GAN-based super resolution and conversion method from a SAR imagery data to the corresponding optical sensor imagery data… Read full abstract & cite →

Frequent observation Synthetic Aperture Radar: SAR super resolution Generative Adversarial Network: GAN GAN-based conversion of images

Abstract doi.org/10.14569/IJACSA.2023.0140343 PDF

44

A Comparative Study of Twofish, Blowfish, and Advanced Encryption Standard for Secured Data Transmission

Author 1: Kwame Assa-Agyei Author 2: Funminiyi Olajide

Now-a-days, network security is becoming an increasingly significant and demanding research area of interest. Threats and attacks on information and Internet security are getting increasingly difficult to detect. As a result, encryption has emerged as a solution and now plays a critical role in information security systems. Many techniques are… Read full abstract & cite →

Cryptography twofish blowfish advanced encryption standard throughput data encryption decryption

Abstract doi.org/10.14569/IJACSA.2023.0140344 PDF

45

Elitist Animal Migration Optimization for Protein Structure Prediction based on 3D Off-Lattice Model

Author 1: Ezgi Deniz Ülker

Predicting the structure of protein has been the center of attraction for the researchers. The aim is to make a reliable prediction of the protein structure by obtaining the minimum energy values among amino acids interactions. According to the generated shape of amino acids, the functionality of the proteins can… Read full abstract & cite →

Animal migration optimization bioinformatics elitism metaheuristics protein structure prediction

Abstract doi.org/10.14569/IJACSA.2023.0140345 PDF

46

Improved Multiclass Brain Tumor Detection using Convolutional Neural Networks and Magnetic Resonance Imaging

Author 1: Mohamed Amine Mahjoubi Author 2: Soufiane Hamida Author 3: Oussama El Gannour Author 4: Bouchaib Cherradi Author 5: Ahmed El Abbassi Author 6: Abdelhadi Raihani

Recently, Deep learning algorithms, particularly Convolutional Neural Networks (CNNs), have been applied extensively for image recognition and classification tasks, with successful results in the field of medicine, such as in medical image analysis. Radiologists have a hard time categorizing this lethal illness since brain tumors include a variety of tumor… Read full abstract & cite →

Deep learning convolutional neural networks brain tumor classification magnetic resonance imaging

Abstract doi.org/10.14569/IJACSA.2023.0140346 PDF

47

Sentiment Analysis on Moroccan Dialect based on ML and Social Media Content Detection

Author 1: Mouaad Errami Author 2: Mohamed Amine Ouassil Author 3: Rabia Rachidi Author 4: Bouchaib Cherradi Author 5: Soufiane Hamida Author 6: Abdelhadi Raihani

As technology continues to evolve, humans tend to follow suit, and currently social media has taken place as the defacto method of communication. As it tends to happen with verbal communication, people express their opinions in written form and through an analysis of their words, one can extract what an… Read full abstract & cite →

Sentiment analysis Arabic Moroccan dialect tweets machine learning

Abstract doi.org/10.14569/IJACSA.2023.0140347 PDF

48

1D Convolutional Neural Network for Detecting Heart Diseases using Phonocardiograms

Author 1: Meirzhan Baikuvekov Author 2: Abdimukhan Tolep Author 3: Daniyar Sultan Author 4: Dinara Kassymova Author 5: Leilya Kuntunova Author 6: Kanat Aidarov

According to estimations made by World Health Organization, heart disease is the largest cause of mortality throughout the globe, and it is safe to assume that diagnosing heart diseases in their earliest stages is very essential. Diagnosis of cardiovascular disease may be carried out by detection of interference in cardiac… Read full abstract & cite →

Deep learning CNN heart disease phonocardiogram classification detection PCG

Abstract doi.org/10.14569/IJACSA.2023.0140348 PDF

49

CNN-BiLSTM Hybrid Model for Network Anomaly Detection in Internet of Things

Author 1: Bauyrzhan Omarov Author 2: Omirlan Auelbekov Author 3: Azizah Suliman Author 4: Ainur Zhaxanova

Anomaly detection in internet of things network traffic is a critical aspect of intrusion and attack detection, in which a deviation from typical behavior signals the existence of malicious or inadvertent assaults, faults, flaws, and other issues. The necessity to examine a large number of security events to identify anomalous… Read full abstract & cite →

IoT internet of things network anomalies network security anomaly attack machine learning supervised learning UNSW-NB15

Abstract doi.org/10.14569/IJACSA.2023.0140349 PDF

50

Scouting Firefly Algorithm and its Performance on Global Optimization Problems

Author 1: Jolitte A. Villaruz Author 2: Bobby D. Gerardo Author 3: Ariel O. Gamao Author 4: Ruji P. Medina

For effective optimization, metaheuristics should maintain the proper balance between exploration and exploitation. However, the standard firefly algorithm (FA) posted some limitations in its exploration process that can eventually lead to premature convergence, affecting its performance and adding uncertainty to the optimization results. To address these constraints, this study introduces… Read full abstract & cite →

Metaheuristics firefly algorithm modified firefly algorithm global optimization scout bee exploitation and exploration

Abstract doi.org/10.14569/IJACSA.2023.0140350 PDF

51

A Robust Steganographic Algorithm based on Linear Fractional Transformation and Chaotic Maps

Author 1: Muhammad Ramzan Author 2: Muhammad Fahad Khan

The fundamental objectives of a steganographic technique are to achieve both robustness and high-capacity for the hidden information. This paper proposes a steganographic algorithm that satisfies both of these objectives, based on enhanced chaotic maps. The algorithm consists of two phases. In the first phase, a cryptographic substitution box is… Read full abstract & cite →

Steganography information security chaotic map vulnerabilities enhanced chaotic maps S-box Design

Abstract doi.org/10.14569/IJACSA.2023.0140351 PDF

52

Implementing Bisection Method on Forex Trading Database for Early Diagnosis of Inflection Point

Author 1: Agustinus Noertjahyana Author 2: Zuraida Abal Abas Author 3: Zeratul Izzah Mohd. Yusoh Author 4: M. Zainal Arifin

Many people are trading in the forex market during the COVID-19 pandemic with the hope of earning money, but they are experiencing shortages due to the lack of information and technology-based tools for existing daily data. Sometimes traders only use moving averages in trading data, even though this information needs… Read full abstract & cite →

Bisection method moving average inflection point forex trading decision support

Abstract doi.org/10.14569/IJACSA.2023.0140352 PDF

53

A Novel Approach to Network Forensic Analysis: Combining Packet Capture Data and Social Network Analysis

Author 1: Irwan Sembiring Author 2: Suharyadi Author 3: Ade Iriani Author 4: Jenni Veronika Br Ginting Author 5: Jusia Amanda Ginting

Log data from computers used for network forensic analysis is ineffective at identifying specific security threats. Log data limitations include the difficulty in reconstructing communication patterns between nodes and the inability to identify more advanced security threats. By combining traditional log data analysis methods with a more effective combination of… Read full abstract & cite →

PCAP analysis social network analysis network forensic network communication pattern

Abstract doi.org/10.14569/IJACSA.2023.0140353 PDF

54

Validating the Usability Evaluation Model for Hearing Impaired Mobile Application

Author 1: Shelena Soosay Nathan Author 2: Nor Laily Hashim Author 3: Azham Hussain Author 4: Ashok Sivaji Author 5: Mohd Affendi Ahmad Pozin

Usability is an important element that enables the identification of the efficiency for application or product. However, many applications have been developed for general users’ needs and are unable to provide adequate applications usage for disabled people. This study focuses on the development of usability evaluation model and the validation… Read full abstract & cite →

Usability hearing impaired validation evaluation MAEHI

Abstract doi.org/10.14569/IJACSA.2023.0140354 PDF

55

Online Signature Verification for Forgery Detection

Author 1: Muhammad Rizwan Author 2: Farhan Aadil Author 3: Mehr Yahya Durrani Author 4: Rajermani Thinakaran

The increasing trend of using e-versions of document transmission and storage requires the electronic verification of sender/author. This research presents an efficient and robust online handwritten signature verification system targeting verification rates better than the available state-of-the-art systems in the presence of skilled forgeries. Fourier analysis is employed on the… Read full abstract & cite →

Fast Euclidean distance m-mediod local fisher discriminant analysis

Abstract doi.org/10.14569/IJACSA.2023.0140355 PDF

56

Image Denoising using Wavelet Cycle Spinning and Non-local Means Filter

Author 1: Giat Karyono Author 2: Asmala Ahmad Author 3: Siti Azirah Asmai

Removing as much noise as possible in an image while preserving its fine details is a complex and challenging task. We propose a wavelet-based and non-local means (NLM) denoising method to overcome the problem. Two well-known wavelets: dual-tree complex wavelet transform (DT-CWT) and discrete wavelet transform (DWT), have been used… Read full abstract & cite →

Image denoising discrete wavelet transform (DWT) dual-tree complex wavelet transform (DT-CWT) non-local means (NLM) cycle spinning

Abstract doi.org/10.14569/IJACSA.2023.0140356 PDF

57

Advanced Detections of Norway Lobster (Nephrops Norvegicus) Burrows using Deep Learning Techniques

Author 1: Atif Naseer

Marine experts are facing lot of challenges in habitat monitoring of marine species. One of the biggest challenges is the underwater environment and species movement. The other challenge is the data collection of marine species. People used the camera sensors and satellite data in the past for data collection but… Read full abstract & cite →

Nephrops norvegicus deep learning stock assessment faster RCNN

Abstract doi.org/10.14569/IJACSA.2023.0140357 PDF

58

Implementation of a Smarter Herbal Medication Delivery System Employing an AI-Powered Chatbot

Author 1: Maria Concepcion S. Vera Author 2: Thelma D. Palaoag

Medicinal plants are a practical and cost-effective alternative for treating common ailments, especially in areas with limited access to public healthcare systems. This paper introduces a prototype of an intelligent interactive system that merges chatbot technology with artificial intelligence (AI) to address inquiries related to treatment alternatives and the application… Read full abstract & cite →

Chatbot artificial intelligence intelligent interactive system applied computing consumer health medicinal plants traditional medicine

Abstract doi.org/10.14569/IJACSA.2023.0140358 PDF

59

Suppressing Chest Radiograph Ribs for Improving Lung Nodule Visibility by using Circular Window Adaptive Median Outlier (CWAMO)

Author 1: Dnyaneshwar Kanade Author 2: Jagdish Helonde

Chest radiograph ribs obstruct lung nodules. To see the nodule under the chest radiograph ribs, remove or suppress them. The paper describes a circular median filter approach for finding outliers in chest radiographs. The method uses 147 Japanese Society of Radiological Technology x-ray pictures (JSRT). Pixels with intensities two standard… Read full abstract & cite →

Lung cancer chest radiograph contrast limited adaptive histogram equalization median outlier

Abstract doi.org/10.14569/IJACSA.2023.0140359 PDF

60

Disease Identification in Crop Plants based on Convolutional Neural Networks

Author 1: Orlando Iparraguirre-Villanueva Author 2: Victor Guevara-Ponce Author 3: Carmen Torres-Ceclén Author 4: John Ruiz-Alvarado Author 5: Gloria Castro-Leon Author 6: Ofelia Roque-Paredes Author 7: Joselyn Zapata-Paulini Author 8: Michael Cabanillas-Carbonell

The identification, classification and treatment of crop plant diseases are essential for agricultural production. Some of the most common diseases include root rot, powdery mildew, mosaic, leaf spot and fruit rot. Machine learning (ML) technology and convolutional neural networks (CNN) have proven to be very useful in this field. This… Read full abstract & cite →

CNN identification models pathogen plant classification machine learning

Abstract doi.org/10.14569/IJACSA.2023.0140360 PDF

61

Automatic Detection of Oil Palm Growth Rate Status with YOLOv5

Author 1: Desta Sandya Prasvita Author 2: Dina Chahyati Author 3: Aniati Murni Arymurthy

Oil palm plantations are essential for Indonesia as a source of foreign exchange and a provider of employment opportunities. However, large-scale land clearing is considered a cause of deforestation, which harms the environment and society. So, it is necessary to manage plantations that are sustainable and still maintain the preservation… Read full abstract & cite →

Automatic detection deep learning oil palm YOLOv5

Abstract doi.org/10.14569/IJACSA.2023.0140361 PDF

62

Hybrid Approach Used to Analyze the Sentiments of Romanized Text (Sindhi)

Author 1: Irum Naz Sodhar Author 2: Suriani Sulaiman Author 3: Abdul Hafeez Buller Author 4: Anam Naz Sodhar

Sentiment analysis is an important part of natural language processing (NLP). This study evaluated the sentiment of Romanized Sindhi Text (RST) using a hybrid approach and ground truth values. The methodology of sentiment analysis involves three major steps: input data, process on tool, analysis of data and evaluation of results… Read full abstract & cite →

Sentiment analysis natural language processing hybrid approach python tool Romanized Sindhi

Abstract doi.org/10.14569/IJACSA.2023.0140362 PDF

63

Consolidated Definition of Digital Transformation by using Text Mining

Author 1: Mohammed Hitham M. H Author 2: Hatem Elkadi Author 3: Neamat El Tazi

Digital transformation has become essential for the majority of organizations, in both public and private sectors. The term "digital transformation" has been used (and misused), so frequently that it is now somewhat ambiguous. It has become imperative to give it some conceptual rigor. The objective of this study is to… Read full abstract & cite →

Digital transformation text mining association rules FP tree

Abstract doi.org/10.14569/IJACSA.2023.0140363 PDF

64

Fast Hybrid Deep Neural Network for Diagnosis of COVID-19 using Chest X-Ray Images

Author 1: Hussein Ahmed Ali Author 2: Nadia Smaoui Zghal Author 3: Walid Hariri Author 4: Dalenda Ben Aissa

In the last three years, the coronavirus (COVID-19) pandemic put healthcare systems worldwide under tremendous pressure. Imaging techniques, such as Chest X-Ray (CXR) images, play an essential role in diagnosing many diseases (for example, COVID-19). Recently, intelligent systems (Machine Learning (ML) and Deep Learning (DL)) have been widely utilized to… Read full abstract & cite →

COVID-19 Chest X-ray (CXR) Deep Learning (DL) Convolutional Neural Network (CNN)

Abstract doi.org/10.14569/IJACSA.2023.0140364 PDF

65

Digital Image Encryption using Composition of RaMSH-1 Map Transposition and Logistic Map Keystream Substitution

Author 1: Rama Dian Syah Author 2: Sarifuddin Madenda Author 3: Ruddy J. Suhatril Author 4: Suryadi Harmanto

Digital communication of multimedia data (text, signal/audio, image, and video) through the internet network has an important role in the era of industrial revolution 4.0 and society 5.0. However, the easiness of exchanging personal and confidential digital information/data has a high risk of being hijacked by irresponsible people. The development… Read full abstract & cite →

Encryption Decryption Digital Image RaMSH-1 Map Transposition Logistic Map Substitution

Abstract doi.org/10.14569/IJACSA.2023.0140365 PDF

66

State-of-the-Art of the Swarm Ship Technology for Alga Bloom Rapid Monitoring

Author 1: Denny Darlis Author 2: Indra Jaya Author 3: Karlisa Priandana Author 4: Yopi Novita Author 5: Ayi Rachmat

The swarm intelligence has become an interesting topic for employing of multi-agent robotics with specific purpose. The capability of multi-coordination, scalability and goals-oriented control in spatial and temporal environment are already concerned and proven for several applications such as in military patrol, and drones leader-follower coordination. In marine-based environment, swarm… Read full abstract & cite →

Swarm ship algal bloom cyber physical system rapid monitoring

Abstract doi.org/10.14569/IJACSA.2023.0140366 PDF

67

Modeling of Organic Waste Classification as Raw Materials for Briquettes using Machine Learning Approach

Author 1: Norbertus Tri Suswanto Saptadi Author 2: Ansar Suyuti Author 3: Amil Ahmad Ilham Author 4: Ingrid Nurtanio

The existence of organic waste must be utilized by the community so that it does not only end up in landfills but can also be processed into something constructive so that it is useful and has high economic value. Organic waste can be converted into raw materials to manufacture of… Read full abstract & cite →

Classification organic waste raw material machine learning

Abstract doi.org/10.14569/IJACSA.2023.0140367 PDF

68

Predicting Hypertension using Machine Learning: A Case Study at Petra University

Author 1: Yasmin Sakka Author 2: Dina Qarashai Author 3: Ahmad Altarawneh

Hypertension is a key cardiovascular disease risk factor (CVD). Identifying these high-risk individuals is crucial since it would save time and money before using any sophisticated, invasive, or costly diagnostic technique. This endeavour may be accomplished in part with the use of modern machine learning techniques. Specifically, a prediction model… Read full abstract & cite →

Hypertension machine learning medical records sensitivity specificity

Abstract doi.org/10.14569/IJACSA.2023.0140368 PDF

69

Medical Name Entity Recognition Based on Lexical Enhancement and Global Pointer

Author 1: Pu Zhang Author 2: Wentao Liang

Named entity recognition (NER) in biological sources, also called medical named entity recognition (MNER), attempts to identify and categorize medical terminology in electronic records. Deep neural networks have recently demonstrated substantial effectiveness in MNER. However, Chinese MNER has issues that cannot use lexical information and involve nested entities. To address… Read full abstract & cite →

MNER nested NER Global Pointer lexical enhancement

Abstract doi.org/10.14569/IJACSA.2023.0140369 PDF

70

Distributed Focused Web Crawling for Context Aware Recommender System using Machine Learning and Text Mining Algorithms

Author 1: Venugopal Boppana Author 2: P. Sandhya

In today’s world, Recommender System (RS) is the most effective means used to manage the huge amount of multimedia content available on the internet. RS learns the user preferences and relationships among the users and items. It helps the users to discover new interesting items and make use of different… Read full abstract & cite →

Recommender Systems (RSs) context-aware softmax regression deep autoencoder multimedia information

Abstract doi.org/10.14569/IJACSA.2023.0140370 PDF

71

Convolutional Neural Network Model based Students’ Engagement Detection in Imbalanced DAiSEE Dataset

Author 1: Mayanda Mega Santoni Author 2: T. Basaruddin Author 3: Kasiyah Junus

The COVID-19 pandemic has significantly changed learning processes. Learning, which had generally been carried out face-to-face, has now turned online. This learning strategy has both advantages and challenges. On the bright side, online learning is unbound by space and time, allowing it to take place anywhere and anytime. On the… Read full abstract & cite →

Convolutional neural networks imbalanced data deep learning PCA COVID-19 online learning students’ engagement SVD SMOTE

Abstract doi.org/10.14569/IJACSA.2023.0140371 PDF

72

A Hybrid Model for Covid-19 Detection using CT-Scans

Author 1: Nagwa G. Ali Author 2: Fahad K. El Sheref Author 3: Mahmoud M. El khouly

Although some believe it has been wiped out, the coronavirus is striking again. Controlling this epidemic necessitates early detection of coronavirus disease. Computed tomography (CT) scan images allow fast and accurate screening for COVID-19. This study seeks to develop the most precise model for identifying and classifying COVID-19 by developing… Read full abstract & cite →

Covid-19 coronavirus transfer-learning CT-scan and ensemble method

Abstract doi.org/10.14569/IJACSA.2023.0140372 PDF

73

A New Big Data Architecture for Analysis: The Challenges on Social Media

Author 1: Abdessamad Essaidi Author 2: Mostafa Bellafkih

The streams of social media big data are now becoming an important issue. But the analytics method and tools for this data may not be able to find the useful information from this massive amount of data. The question then becomes: how do we create a high-performance platform and a… Read full abstract & cite →

Social media useful information big data analysis stream processing classification tweets

Abstract doi.org/10.14569/IJACSA.2023.0140373 PDF

74

Drug Repositioning for Coronavirus (COVID-19) using Different Deep Learning Architectures

Author 1: Afaf A. Morad Author 2: Mohamed A. Aborizka Author 3: Fahima A. Maghraby

In December 2019, the COVID-19 epidemic was found in Wuhan, China, and soon hundreds of millions were infected. Therefore, several efforts were made to identify commercially available drugs to repurpose them against COVID-19. Inferring potential drug indications through computational drug repositioning is an efficient method. The drug repositioning problem is… Read full abstract & cite →

Antiviral drugs computational drug repositioning coronavirus deep learning drug-target interactions

Abstract doi.org/10.14569/IJACSA.2023.0140374 PDF

75

Development of a Smart Sensor Array for Adulteration Detection in Black Pepper Seeds using Machine Learning

Author 1: Sowmya Natarajan Author 2: Vijayakumar Ponnusamy

Black pepper is an expensive commodity with a high risk of adulteration. Ground papaya seed is the main adulterant in pepper because it cannot be discriminated visually. There are few destructive methods. Since pepper is costlier, non-destructive method of adulteration is must but it is challenging one. The existing non-destructive… Read full abstract & cite →

Gas sensor system volatile organic compounds pepper seeds papaya seeds machine learning

Abstract doi.org/10.14569/IJACSA.2023.0140375 PDF

76

Digital Signature Algorithm: A Hybrid Approach

Author 1: Prajwal Hegde N Author 2: Veena Devi Shastrimath V

Security is one of the most important issues in layout of a Digital System. Communication these days is digital. Consequently, utmost care must be taken to secure the information. This paper specializes in techniques used to defend the facts from thefts and hacks the use of quit-to-cease encryption and decryption… Read full abstract & cite →

DSA digital signature algorithm hash function public key private key RSA

Abstract doi.org/10.14569/IJACSA.2023.0140376 PDF

77

Auto JSON: An Automatic Transformation Model for Converting Relational Database to Non-relational Documents

Author 1: K. Revathi Author 2: T. Tamilselvi Author 3: Batini Dhanwanth Author 4: M. Dhivya

In recent days, the demand for dealing large set of distributed data obsoletes the relational database and its structured query language (SQL) solutions in practice and paves the way for novel solutions in the name of non-relational database as not-only SQL (NoSQL). The NoSQL offers dynamic, flexible, scalable, highly available… Read full abstract & cite →

Distributed data document oriented NOSQL hospital management system Mongo DB my SQL

Abstract doi.org/10.14569/IJACSA.2023.0140377 PDF

78

An Energy‐Aware Technique for Task Allocation in the Internet of Things using Krill Herd Algorithm

Author 1: Dejun Miao Author 2: Rongyan Xu Author 3: Jiusong Chen Author 4: Yizong Dai

The Internet of Things (IoT) is an innovative technology that connects the digital and physical worlds as well as allows physical devices capable of different capacities to share resources to accomplish tasks. Most IoT objects have limited battery life and are heterogeneous. Assignment of these objects is, therefore, extremely challenging… Read full abstract & cite →

Internet of things resource allocation task scheduling energy efficiency

Abstract doi.org/10.14569/IJACSA.2023.0140378 PDF

79

Marigold Flower Blooming Stage Detection in Complex Scene Environment using Faster RCNN with Data Augmentation

Author 1: Sanskruti Patel

In recent years, flower growing has developed into a lucrative agricultural sector that provides employment and business opportunities for small and marginal growers in both urban and rural locations in India. One of the most often cultivated flowers for landscaping design is the Marigold flower. It is also widely used… Read full abstract & cite →

Deep learning convolutional neural networks object detection marigold flower blooming stage detection

Abstract doi.org/10.14569/IJACSA.2023.0140379 PDF

80

Polarimetric SAR Characterization of Mangrove Forest Environment in the United Arab Emirates (UAE)

Author 1: Soumaya Fatnassi Author 2: Mohamed Yahia Author 3: Tarig Ali Author 4: Maruf Mortula

This Mangrove forests in the United Arab Emirates (UAE) provide valuable ecosystem services such as coastal erosion protection, water purification and refuge for a wide variety of plants and animals. Therefore, the first step toward understanding the mangrove forests is the monitoring of this important ecological system. This paper proposes… Read full abstract & cite →

Mangrove forests dual-PolSAR sentinel 1 United Arab Emirates entropy/alpha decomposition

Abstract doi.org/10.14569/IJACSA.2023.0140380 PDF

81

An In-depth Analysis of Uneven Clustering Techniques in Wireless Sensor Networks

Author 1: Hai-yu Zhang

The low-cost and convenient feature of Wireless Sensor Networks (WSNs) has made them popular in many sectors over the last decade. The WSNs are now widely used as a result of recent advancements in low-power communication and being energy-efficient. The WSNs typically use batteries to power sensor nodes. The finite… Read full abstract & cite →

Wireless sensor networks data aggregation uneven clustering energy-efficient review

Abstract doi.org/10.14569/IJACSA.2023.0140381 PDF

82

Univariate and Multivariate Gaussian Models for Anomaly Detection in Multi Tenant Distributed Systems

Author 1: Pravin Ramdas Patil Author 2: Geetanjali Kale

Due to the flaws in shared memory, settings, and network access, distributed systems on a network always have been susceptible to cyber intrusions. Co-users on the same server give attackers the chance to monitor the activity of many other users and launch an attack when those users' security is at… Read full abstract & cite →

Multi-tenant distributed system anomaly detection outlier detection machine learning Gaussian model

Abstract doi.org/10.14569/IJACSA.2023.0140382 PDF

83

Cloud Service Composition using Firefly Optimization Algorithm and Fuzzy Logic

Author 1: Wenzhi Wang Author 2: Zhanqiao Liu

Cloud computing involves the dynamic provision of virtualized and scalable resources over the Internet as services. Different types of services with the same functionality but different non-functionality features may be delivered in a cloud environment in response to customer requests, which may need to be combined to satisfy the customer's… Read full abstract & cite →

Cloud computing service composition QoS firefly algorithm fuzzy logic

Abstract doi.org/10.14569/IJACSA.2023.0140383 PDF

84

Systematic Review of Deep Learning Techniques for Lung Cancer Detection

Author 1: Mattakoyya Aharonu Author 2: R Lokesh Kumar

Cancer is the leading cause of deaths across the globe and 10 million people died of cancer and particularly 2.21 million new cases registered besides 1.80 million deaths, according to WHO, in 2020. Malignant cancer is caused by multiplication and growth of lung cells. In this context, exploiting technological innovations… Read full abstract & cite →

Artificial intelligence deep learning lung cancer lung cancer detection machine learning

Abstract doi.org/10.14569/IJACSA.2023.0140384 PDF

85

Question Classification in Albanian Through Deep Learning Approaches

Author 1: Evis Trandafili Author 2: Nelda Kote Author 3: Gjergj Plepi

In recent years, there is growing interest in intelligent conversation systems. In this context, Question Classification is an essential subtask in Question Answering systems that determines the question type, therefore, also the type of the answer. However, while there is abundant research for English, little research work has been carried… Read full abstract & cite →

Question classification deep learning BiLSTM transformer RoBERTa Albanian corpus natural language processing

Abstract doi.org/10.14569/IJACSA.2023.0140385 PDF

86

An Efficient Source Printer Identification Model using Convolution Neural Network (SPI-CNN)

Author 1: Naglaa F. El Abady Author 2: Hala H. Zayed Author 3: Mohamed Taha

Document forgery detection is becoming increasingly important in the current era, as forgery techniques are available to even inexperienced users. Source printer identification is a method for identifying the source printer and classifying the questioned document into one of the printer classes. According to what we know, most earlier studies… Read full abstract & cite →

Document forgery source printer identification (SPI) convolution neural network (CNN) transfer learning (TL) support vector machine (SVM)

Abstract doi.org/10.14569/IJACSA.2023.0140386 PDF

87

The Cross-Cultural Teaching Model of Foreign Literature Under the Application of Machine Learning Technology

Author 1: Jing Lv

As globalization spreads, so does the world's ethnic makeup, leading to a surge in cultural diversity that has become a major issue for the educational systems of all countries. Many western countries advocate for cross-cultural education (CCE) as a means of dealing with cultural variety and promoting trust, tolerance, and… Read full abstract & cite →

Cross cultural education foreign literature extreme gradient boosting (XGBoost) algorithm flower pollination algorithm (FPA) control class (CC)

Abstract doi.org/10.14569/IJACSA.2023.0140387 PDF

88

Meta Heuristic Fusion Model for Classification with Modified U-Net-based Segmentation

Author 1: Sri Laxmi Kuna Author 2: A. V. Krishna Prasad Author 3: Suneetha Bulla

General cause of diabetes mellitus is Diabetic Retinopathy (DR), which outcomes in lesions on the retinas that impair vision. If it is not detected in time, the result is severe blindness issues. Regrettably, there is no treatment for DR. Early diagnosis and treatment of DR can greatly lower the risk… Read full abstract & cite →

Diabetic retinopathy segmentation and classification model multi-armed bandits groundwater flow algorithm hybrid soft attention-based DenseNet with multi-scale gated ResNet modified U-Net-based segmentation

Abstract doi.org/10.14569/IJACSA.2023.0140388 PDF

89

Legal Entity Extraction: An Experimental Study of NER Approach for Legal Documents

Author 1: Varsha Naik Author 2: Purvang Patel Author 3: Rajeswari Kannan

In legal domain Name Entity Recognition serves as the basis for subsequent stages of legal artificial intelligence. In this paper, the authors have developed a dataset for training Name Entity Recognition (NER) in the Indian legal domain. As a first step of the research methodology study is done to identify… Read full abstract & cite →

Named Entity Recognition NER legal domain text annotation annotation tools

Abstract doi.org/10.14569/IJACSA.2023.0140389 PDF

90

Research on the Model of Preventing Corporate Financial Fraud under the Combination of Deep Learning and SHAP

Author 1: Yanzhao Wang

Preventing financial fraud in listed companies is conducive to improving the healthy development of China’s accounting industry and the securities market, is conducive to promoting the improvement of the internal control system of China’s enterprises, and is conducive to promoting stability. Based on the combination of SHAP (Shapley Additive explanation)… Read full abstract & cite →

Financial fraud deep learning ensemble algorithm feature selection

Abstract doi.org/10.14569/IJACSA.2023.0140390 PDF

91

Conjugate Symmetric Data Transmission Control Method based on Machine Learning

Author 1: Yao Wang

In conjugate symmetric data transmission, due to insufficient judgment of congestion during transmission, the amount of data is large and the transmission rate is low. In order to improve the data transmission rate, a conjugate symmetric data transmission control method based on machine learning is designed. Firstly, the data to… Read full abstract & cite →

Machine learning conjugate symmetric data transmission control data coding transmission delivery rate

Abstract doi.org/10.14569/IJACSA.2023.0140391 PDF

92

Towards Finding the Impact of Deep Learning in Educational Time Series Datasets – A Systematic Literature Review

Author 1: Vanitha S Author 2: Jayashree. R

Besides teaching in the education system, instructors do a bunch of background processes such as preparing study material, question paper setting, managing attendance, log book entry, student assessment, and the result analysis of the class. Moreover, Learning Management System(LMS) is mandatory if the course is online. The Massive Open Online… Read full abstract & cite →

Deep learning education gated recurrent unit long-short term memory recurrent neural network time series

Abstract doi.org/10.14569/IJACSA.2023.0140392 PDF

93

AI in Tourism: Leveraging Machine Learning in Predicting Tourist Arrivals in Philippines using Artificial Neural Network

Author 1: Noelyn M. De Jesus Author 2: Benjie R. Samonte

Tourism is one of the most prominent and rapidly expanding sectors that contribute significantly to the growth of a country’s economy. However, the tourism industry has been most adversely affected during the coronavirus pandemic. Thus, a reliable and accurate time series prediction of tourist arrivals is necessary in making decisions… Read full abstract & cite →

Tourist arrivals machine learning predictive analytics artificial neural network ANN time series prediction

Abstract doi.org/10.14569/IJACSA.2023.0140393 PDF

94

A Cloud and IoT-enabled Workload-aware Healthcare Framework using Ant Colony Optimization Algorithm

Author 1: Lu Zhong Author 2: Xiaoke Deng

In recent years, smart cities have gained in popularity due to their potential to improve the quality of life for urban residents. In many smart city services, particularly those in the field of smart healthcare, big healthcare data is analyzed, processed, and shared in real time. Products and services related… Read full abstract & cite →

Internet of things cloud computing healthcare load balancing

Abstract doi.org/10.14569/IJACSA.2023.0140394 PDF

95

Multi-String Missing Characters Restoration for Automatic License Plate Recognition System

Author 1: Ishtiaq Rasool KHAN Author 2: Syed Talha Abid ALI Author 3: Asif SIDDIQ Author 4: Seong-O SHIM

Developing a license plate recognition system that can cope with unconstrained real-time scenarios is very challenging. Additional cues, such as the color and dimensions of the plate, and font of the text, can be useful in improving the system's accuracy. This paper presents a deep learning-based plate recognition system that… Read full abstract & cite →

Automatic License Plate Recognition (ALPR) Intelligent Transportation System (ITS) Optical Character Recognition (OCR) Deep Convolutional Neural Network You Only Look Once (YOLO)

Abstract doi.org/10.14569/IJACSA.2023.0140395 PDF

96

A Real-time ECG CTG based Ensemble Feature Extraction and Unsupervised Learning based Classification Framework for Multi-class Abnormality Prediction

Author 1: Y. Aditya Author 2: S. Suganthi Devi Author 3: B. D. C. N Prasad

Cardiovascular diseases (CVDs) are a leading cause of death worldwide. Early detection and diagnosis of these diseases can greatly reduce complications and improve outcomes for high-risk individuals. One method for detecting CVDs is through the use of electrocardiogram (ECG) monitoring systems, which use various technologies such as the Internet of… Read full abstract & cite →

Ensemble feature ranking improved inter quartile range outlier detection heterogeneous optimized k-nearest neighbor unsupervised learning

Abstract doi.org/10.14569/IJACSA.2023.0140396 PDF

97

Bird Image Classification using Convolutional Neural Network Transfer Learning Architectures

Author 1: Asmita Manna Author 2: Nilam Upasani Author 3: Shubham Jadhav Author 4: Ruturaj Mane Author 5: Rutuja Chaudhari Author 6: Vishal Chatre

With the technological progress of human beings, more and more animal and bird species are being endangered and sometimes even going to the verge of extinction. However, the existence of birds is highly beneficial for human civilization as birds help in pollination, destroying harmful insects for crops, etc. To ensure… Read full abstract & cite →

Deep learning CNN Image classification DenseNet201 ResNet152V2 InceptionV3 MobileNetV2

Abstract doi.org/10.14569/IJACSA.2023.0140397 PDF

98

An Automated Framework to Detect Emotions from Contextual Corpus

Author 1: Ravikumar Thallapalli Author 2: G. Narsimha

The emotion extraction or opinion mining is one of the key tasks for any text processing frameworks. In recent times, the use of opinion mining has gained a lot of potential due to the application of the potential customized aspects of the consumer relations and other customized applications. However, the… Read full abstract & cite →

Emoji translation weighted annotation text translation reduced unicode based dictionary relative sentiment score building mean scoring technique collaborative sentiment score building

Abstract doi.org/10.14569/IJACSA.2023.0140398 PDF

99

Rapidly Exploring Random Trees for Autonomous Navigation in Observable and Uncertain Environments

Author 1: Fredy Martinez Author 2: Edwar Jacinto Author 3: Holman Montiel

This paper proposes the use of a small differential robot with two DC motors, controlled by an ESP32 microcon-troller, that implements the Rapidly Exploring Random Trees algorithm to navigate from an origin point to a destination point in an unknown but observable environment. The motivation behind this research is to… Read full abstract & cite →

Autonomous navigation differential robot esp32 microcontroller low-cost rapidly exploring random trees algorithm versatile

Abstract doi.org/10.14569/IJACSA.2023.0140399 PDF

100

Incremental Diversity: An Efficient Anonymization Technique for PPDP of Multiple Sensitive Attributes

Author 1: Veena Gadad Author 2: Sowmyarani C N

Data collected at the organizations such as schools, offices, healthcare centers and e-commerce websites contain multiple sensitive attributes. The sensitive information from these organisations such as marks obtained, salary, disease, treatment and traveling history are personal information that an individual dislikes to disclose to the public as it may lead… Read full abstract & cite →

Data management privacy preserving data publishing data privacy multiple sensitive attributes data anonymization privacy attacks

Abstract doi.org/10.14569/IJACSA.2023.01403100 PDF

101

Demand Forecasting Models for Food Industry by Utilizing Machine Learning Approaches

Author 1: Nouran Nassibi Author 2: Heba Fasihuddin Author 3: Lobna Hsairi

Continued global economic instability and uncer-tainty is causing difficulties in predicting sales. As a result, many sectors and decision-makers are facing new, pressing challenges. In supply chain management, the food industry is a key sector in which sales movement and the demand forecasting for food products are more difficult to… Read full abstract & cite →

Machine learning long short-term memory support vector machine food industry supply chain management demand forecasting product sales

Abstract doi.org/10.14569/IJACSA.2023.01403101 PDF

102

Method for Inferring the Optimal Number of Clusters with Subsequent Automatic Data Labeling based on Standard Deviation

Author 1: Aline Montenegro Leal Silva Author 2: Francisco Alysson da Silva Sousa Author 3: Alysson Ramires de Freitas Santos Author 4: Vinicius Ponte Machado Author 5: Andre Macedo Santana

Machine learning is a suitable pattern recognition technique for detecting correlations between data. In the case of unsupervised learning, the groups formed from these correlations can receive a label, which consists of describing them in terms of their most relevant attributes and their respective ranges of values so that they… Read full abstract & cite →

Inference approach range of attribute values labeling standard deviation interpretation of the groups

Abstract doi.org/10.14569/IJACSA.2023.01403102 PDF

103

Heart Disease Classification and Recommendation by Optimized Features and Adaptive Boost Learning

Author 1: Pardeep Kumar Author 2: Ankit Kumar

In recent decades, cardiovascular diseases have eclipsed all others as the main reason for death in both low and middle income countries. Early identification and continuous clinical monitoring can reduce the death rate associated with heart disorders. Neither service is yet accessible, as it requires more intellect, time, and skill… Read full abstract & cite →

Heart disease prediction heart disease machine learning optimization multi-objective features

Abstract doi.org/10.14569/IJACSA.2023.01403103 PDF

104

SSEC: Semantic Segmentation and Ensemble Classification Framework for Static Hand Gesture Recognition using RGB-D Data

Author 1: Dayananda Kumar NC Author 2: K. V Suresh Author 3: Chandrasekhar V Author 4: Dinesh R

Hand Gesture Recognition (HGR) refers to identifying various hand postures used in Sign Language Recognition (SLR) and Human Computer Interaction (HCI) applications. Complex background in uncontrolled environmental condition is the major challenging issue which impacts the recognition accuracy of HGR system. This can be effectively addressed by discarding the background… Read full abstract & cite →

Hand gesture recognition semantic segmentation ensemble classification score fusion

Abstract doi.org/10.14569/IJACSA.2023.01403104 PDF

105

COVID-19 Dataset Clustering based on K-Means and EM Algorithms

Author 1: Youssef Boutazart Author 2: Hassan Satori Author 3: Anselme R. Affane M Author 4: Mohamed Hamidi Author 5: Khaled Satori

In this paper, a COVID-19 dataset is analyzed using a combination of K-Means and Expectation-Maximization (EM) algorithms to cluster the data. The purpose of this method is to gain insight into and interpret the various components of the data. The study focuses on tracking the evolution of confirmed, death, and… Read full abstract & cite →

COVID-19 clustering k-means EM algorithm GMM

Abstract doi.org/10.14569/IJACSA.2023.01403105 PDF

106

Chicken Behavior Analysis for Surveillance in Poultry Farms

Author 1: Abdallah Mohamed Mohialdin Author 2: Abdullah Magdy Elbarrany Author 3: Ayman Atia

Poultry farming is an important industry that provides food for a growing population. However, the welfare of the birds is a major concern, as poor living conditions leads to abnormal behavior that affects the health and productivity of the flock. In order to monitor and improve the welfare of the… Read full abstract & cite →

Chicken poultry abnormal behavior birds

Abstract doi.org/10.14569/IJACSA.2023.01403106 PDF

107

Mammography Image Abnormalities Detection and Classification by Deep Learning with Extreme Learner

Author 1: Saruchi Author 2: Jaspreet Singh

Breast cancer has emerged as a leading killer of women worldwide in recent decades. Mammography is a useful tool for detecting abnormalities and doing screenings. The primary factors in the early identification of breast cancer are the quality of mammogram image and the radiologist’s appraisal of the mammography. The extensive… Read full abstract & cite →

Breast cancer mammography deep learning CNN extreme learning

Abstract doi.org/10.14569/IJACSA.2023.01403107 PDF

108

Information Retrieval Method of Natural Resources Data based on Hash Algorithm

Author 1: Qian Li

In order to improve the ability of searching and identifying information in natural resources data, this paper puts forward a method of searching information in natural resources data based on hash algorithm. Through the data center technology, the problems of information source positioning, data directory organization, data semantic definition and… Read full abstract & cite →

Hash algorithm natural resource data information structure reorganization search data encryption

Abstract doi.org/10.14569/IJACSA.2023.01403108 PDF

109

Research on Identifying Stock Manipulation using GARCH Model

Author 1: Wen-Tsao Pan Author 2: Wen-Bin Qian Author 3: Ying He Author 4: Zhi-Xiu Wang Author 5: Wei Liu

Continuous rising of economy and investors’ demand for funds give a window to easier market manipulation which includes abusing of one’s power to raise or lower the price of securities, colluding to affect the price or volume of securities transactions at a pre-agreed time, price and method. In the study… Read full abstract & cite →

Stock prices market manipulation GARCH model stock exchange

Abstract doi.org/10.14569/IJACSA.2023.01403109 PDF

110

Cloud Task Scheduling using the Squirrel Search Algorithm and Improved Genetic Algorithm

Author 1: Qiuju DENG Author 2: Ning WANG Author 3: Yang LU

With cloud computing, resources can be networked globally and shared easily between users. A range of heterogeneous needs are met on demand by software, hardware, storage, and networking. Dynamic resource allocation and load distribution pose challenges for cloud servers. In this regard, task scheduling plays a significant role in enhancing… Read full abstract & cite →

Cloud computing energy efficiency task scheduling genetic algorithm

Abstract doi.org/10.14569/IJACSA.2023.01403110 PDF

111

Bisayan Dialect Short-time Fourier Transform Audio Recognition System using Convolutional and Recurrent Neural Network

Author 1: Patrick D. Cerna Author 2: Rhodessa J. Cascaro Author 3: Khian Orland S. Juan Author 4: Bon Jovi C. Montes Author 5: Aldrei O. Caballero

Speech is a form of oral communication that reinforces thoughts and ideas that have general purpose and meaning. In the Philippines, Filipinos can speak at least three languages. English, Filipino, native language. The Philippine government says the Philippines has more than 150 regional native languages, one of which he says… Read full abstract & cite →

Bisayan dialect speech recognition dense layer CNN RNN

Abstract doi.org/10.14569/IJACSA.2023.01403111 PDF