IJACSA Vol. 14 Issue 8 (2023)

1

An Empirical Internet Protocol Network Intrusion Detection using Isolation Forest and One-Class Support Vector Machines

Author 1: Gerard Shu Fuhnwi Author 2: Victoria Adedoyin Author 3: Janet O. Agbaje

With the increasing reliance on web-based applications and services, network intrusion detection has become a critical aspect of maintaining the security and integrity of computer networks. This study empirically investigates internet protocol network intrusion detection using two machine learning techniques: Isolation Forest (IF) and One-Class Support Vector Machines (OC-SVM), combined… Read full abstract & cite →

HTTP SMTP FTP ANOVA F-test AUCROC OC-SVMs FAR DR IF

Abstract doi.org/10.14569/IJACSA.2023.0140801 PDF

2

Ensemble Security and Multi-Cloud Load Balancing for Data in Edge-based Computing Applications

Author 1: Raghunadha Reddi Dornala

Edge computing has gained significant attention in recent years due to its ability to process data closer to the source, resulting in reduced latency and improved performance. However, ensuring data security and efficient data management in edge-based computing applications poses significant challenges. This paper proposes an ensemble security approach and… Read full abstract & cite →

Edge computing cloud computing dynamic load balancing fog computing multi-cloud load balancing

Abstract doi.org/10.14569/IJACSA.2023.0140802 PDF

3

Converting Data for Spiking Neural Network Training

Author 1: Erik Sadovsky Author 2: Maros Jakubec Author 3: Roman Jarina

The application of spiking neural networks (SNNs) for processing visual and auditory data necessitate the conversion of traditional neural network datasets into a format suitable for spike-based computations. Existing datasets designed for conventional neural networks are incompatible with SNNs due to their reliance on spike timing and specific preprocessing requirements… Read full abstract & cite →

SNN rate coding spike timing data conversion MNIST

Abstract doi.org/10.14569/IJACSA.2023.0140803 PDF

4

A Secure and Scalable Behavioral Dynamics Authentication Model

Author 1: Idowu Dauda Oladipo Author 2: Mathew Nicho Author 3: Joseph Bamidele Awotunde Author 4: Jemima Omotola Buari Author 5: Muyideen Abdulraheem Author 6: Tarek Gaber

Various authentication methods have been proposed to mitigate data breaches. However, the increasing frequency of data breaches and users' lack of awareness have exposed traditional methods, including single-factor password-based systems and, two-factor authentication systems, to vulnerabilities against attacks. While behavioral authentication holds promise in tackling these issues, it faces challenges… Read full abstract & cite →

Behavioral authentication keystroke dynamics human-computer interface two-factor authentication

Abstract doi.org/10.14569/IJACSA.2023.0140804 PDF

5

Visualization of AI Systems in Virtual Reality: A Comprehensive Review

Author 1: Medet Inkarbekov Author 2: Rosemary Monahan Author 3: Barak A. Pearlmutter

This study provides a comprehensive review of the utilization of Virtual Reality (VR) in the context of Human-Computer Interaction (HCI) for visualizing Artificial Intelligence (AI) systems. Drawing from 18 selected studies, the results illuminate a complex interplay of tools, methods, and approaches, notably the prominence of VR engines like Unreal… Read full abstract & cite →

Virtual Reality (VR) Artificial Intelligence (AI) Vi-sualization VR in AI Visualization Human-Computer Interaction (HCI)

Abstract doi.org/10.14569/IJACSA.2023.0140805 PDF

6

Symbol Detection in a Multi-class Dataset Based on Single Line Diagrams using Deep Learning Models

Author 1: Hina Bhanbhro Author 2: Yew Kwang Hooi Author 3: Worapan Kusakunniran Author 4: Zaira Hassan Amur

Single Line Diagrams (SLDs) are used in electrical power distribution systems. These diagrams are crucial to engineers during the installation, maintenance, and inspection phases. For the digital interpretation of these documents, deep learning-based object detection methods can be utilized. However, there is a lack of efforts made to digitize the… Read full abstract & cite →

Single line diagrams engineering drawings synthetic data symbol detection deep learning augmented dataset

Abstract doi.org/10.14569/IJACSA.2023.0140806 PDF

7

The Spatial Distribution of Atmospheric Water Vapor Based on Analytic Hierarchy Process and Genetic Algorithm

Author 1: Fengjun Wei Author 2: Chunhua Liu Author 3: Rendong Guo Author 4: Xin Li Author 5: Jilei Hu Author 6: Chuanxun Che

The inversion of water vapor spatial distribution using ground-based global navigation satellite systems is a technique that utilizes the propagation delay of satellite signals in the atmosphere to retrieve atmospheric water vapor information. To further promote the accuracy of the information obtained by this method, a satellite system is designed… Read full abstract & cite →

Global navigation satellite system spatial distribution of water vapor genetic algorithm chromatography technology

Abstract doi.org/10.14569/IJACSA.2023.0140807 PDF

8

Detection of Tuberculosis Based on Hybridized Pre-Processing Deep Learning Method

Author 1: Mohamed Ahmed Elashmawy Author 2: Irraivan Elamvazuthi Author 3: Lila Iznita Izhar Author 4: Sivajothi Paramasivam Author 5: Steven Su

The disease, tuberculosis (TB) is a serious health concern as it primarily affects the lungs and can lead to fatalities. However, early detection and treatment can cure the disease. One potential method for detecting TB is using Computer Aided Diagnosis (CAD) systems, which can analyze Chest X-Ray Images (CXR) for… Read full abstract & cite →

Tuberculosis CNN pre-processing CXR images augmentation segmentation

Abstract doi.org/10.14569/IJACSA.2023.0140808 PDF

9

Automated CAD System for Early Stroke Diagnosis: Review

Author 1: Izzatul Husna Azman Author 2: Norhashimah Mohd Saad Author 3: Abdul Rahim Abdullah Author 4: Rostam Affendi Hamzah Author 5: Adam Samsudin Author 6: Shaarmila A/P Kandaya

Stroke is an important health issue that affects millions of people globally each year. Early and precise stroke diagnosis is crucial for efficient treatment and better patient outcomes. Traditional stroke detection procedures, such as manual visual evaluation of clinical data, can be time-consuming and error-prone. Computer-aided diagnostic (CAD) technologies have… Read full abstract & cite →

Stroke diagnosis CAD system machine learning deep learning

Abstract doi.org/10.14569/IJACSA.2023.0140809 PDF

10

The Current State of Blockchain Consensus Mechanism: Issues and Future Works

Author 1: Shadab Alam

Blockchain is a decentralized ledger that serves as the foundation of Bitcoin and has found applications in various domains due to its immutable properties. It has the potential to change digital transactions drastically. It has been successfully used across multiple fields for record immutability and reliability. The consensus mechanism is… Read full abstract & cite →

Blockchain consensus mechanism consensus algorithm data security distributed systems bitcoin

Abstract doi.org/10.14569/IJACSA.2023.0140810 PDF

11

A Novel Approach for Identification of Figurative Language Types in Devanagari Scripted Languages

Author 1: Jatinderkumar R. Saini Author 2: Preety Sagar Author 3: Hema Gaikwad

Poetry can be defined as a form of literary expression that uses language and artistic techniques to evoke emotions, create imagery, and convey complex ideas in a concentrated and imaginative manner. It is a form of written or spoken art that often incorporates rhythm, meter, rhyme, and figurative language to… Read full abstract & cite →

Figures of speech (FsoS) natural language processing (NLP) Koshur Awadhi

Abstract doi.org/10.14569/IJACSA.2023.0140811 PDF

12

Machine Learning Model for Automated Assessment of Short Subjective Answers

Author 1: Zaira Hassan Amur Author 2: Yew Kwang Hooi Author 3: Hina Bhanbro Author 4: Mairaj Nabi Bhatti Author 5: Gul Muhammad Soomro

Natural Language Processing (NLP) has recently gained significant attention; where, semantic similarity techniques are widely used in diverse applications, such as information retrieval, question-answering systems, and sentiment analysis. One promising area where NLP is being applied, is personalized learning, where assessment and adaptive tests are used to capture students' cognitive… Read full abstract & cite →

Natural language processing short text answer assessment BERT semantic similarity

Abstract doi.org/10.14569/IJACSA.2023.0140812 PDF

13

Sentiment Analysis in Indonesian Healthcare Applications using IndoBERT Approach

Author 1: Helmi Imaduddin Author 2: Fiddin Yusfida A’la Author 3: Yusuf Sulistyo Nugroho

The rapid growth of application development has made applications an integral part of people's lives, offering solutions to societal problems. Health service applications have gained popularity due to their convenience in accessing information on diseases, health, and medicine. However, many of these applications disappoint users with limited features, slow response… Read full abstract & cite →

Application healthcare IndoBERT sentiment analysis

Abstract doi.org/10.14569/IJACSA.2023.0140813 PDF

14

The Medical Image Denoising Method Based on the CycleGAN and the Complex Shearlet Transform

Author 1: ChunXiang Liu Author 2: Jin Huang Author 3: Muhammad Tahir Author 4: Lei Wang Author 5: Yuwei Wang Author 6: Faiz Ullah

Medical image denoising plays an important role for the noise in the medical images can reduce the visibility, thereby affecting the diagnostic results of the doctors. Although good results have been achieved by the well-known deep learning-based denoising methods for their strong ability of learning, the loss of structural feature… Read full abstract & cite →

Medical image image denoising CycleGAN complex shearlet transform

Abstract doi.org/10.14569/IJACSA.2023.0140814 PDF

15

Comparing Scrum Maturity of Digital and Business Process Reengineering Groups: A Case Study at an Indonesia’s State-Owned Bank

Author 1: Gloria Saripah Patara Author 2: Teguh Raharjo

Bank XYZ, an Indonesia’s state-owned bank, has been conducting business and digital transformation throughout its organization. Based on a recent McKinsey survey, less than 30% of organizations succeed in transformation. Fast changing business requirements and various technology-based initiatives enforce the organization to employ an Agile methodology and Scrum, to cope… Read full abstract & cite →

Transformation scrum digital project BPR project scrum maturity model agile maturity model

Abstract doi.org/10.14569/IJACSA.2023.0140815 PDF

16

Adaptive Learner-CBT with Secured Fault-Tolerant and Resumption Capability for Nigerian Universities

Author 1: Bridget Ogheneovo Malasowe Author 2: Maureen Ifeanyi Akazue Author 3: Ejaita Abugor Okpako Author 4: Fidelis Obukohwo Aghware Author 5: Deborah Voke Ojie Author 6: Arnold Adimabua Ojugo

The post covid-19 studies have reported significant negative impact witnessed on global education and learning with the closure of schools’ physical infrastructure from 2020 to 2022. Its effects today continues to ripple across the learning processes even with advances in e-learning or media literacy. The adoption and integration therein of… Read full abstract & cite →

Adaptive blended learning computer-based test fault tolerant design resumption capabilities Nigeria FUPRE

Abstract doi.org/10.14569/IJACSA.2023.0140816 PDF

17

A Yolo-based Violence Detection Method in IoT Surveillance Systems

Author 1: Hui Gao

Violence detection in Internet of Things (IoT)-based surveillance systems has become a critical research area due to their potential to provide early warnings and enhance public safety. There have been many types of research on vision-based systems for violence detection, including traditional and deep learning-based methods. Deep learning-based methods have… Read full abstract & cite →

Violence detection IoT surveillance systems Yolo deep learning

Abstract doi.org/10.14569/IJACSA.2023.0140817 PDF

18

Towards Automated Evaluation of the Quality of Educational Services in HEIs

Author 1: Silvia Gaftandzhieva Author 2: Rositsa Doneva Author 3: Mariya Zhekova Author 4: George Pashev

The provision of educational services with high quality is a matter of concern to all stakeholders in higher education (academic staff, administration, students, etc.). According to many researchers, student satisfaction is an indicator of service quality in higher education institutions (HEIs), and evaluating the quality of educational and administrative services… Read full abstract & cite →

Quality assurance higher education educational services administrative services data analysis

Abstract doi.org/10.14569/IJACSA.2023.0140818 PDF

19

Machine-Learning-based User Behavior Classification for Improving Security Awareness Provision

Author 1: Alaa Al-Mashhour Author 2: Areej Alhogail

Users of information technology are regarded as essential components of information security. Users’ lack of cybersecurity awareness can result in external and internal security attacks and threats in any organization that has several users or employees. Although various security methods have been designed to protect organizations from external intrusions and… Read full abstract & cite →

Machine learning user behavior analysis cybersecurity classification security awareness

Abstract doi.org/10.14569/IJACSA.2023.0140819 PDF

20

Collateral Circulation Classification Based on Cone Beam Computed Tomography Images using ResNet18 Convolutional Neural Network

Author 1: Nur Hasanah Ali Author 2: Abdul Rahim Abdullah Author 3: Norhashimah Mohd Saad Author 4: Ahmad Sobri Muda

Collateral circulation is an arterial anastomotic channel that supply nutrient perfusion to areas of the brain. It happens when there is an existence of disruption of regular sources of flow due to an ischemic stroke. The most recent method, Cone Beam Computed Tomography (CBCT) neuroimaging is able to provide specific… Read full abstract & cite →

Collateral circulation CBCT ResNet convolutional neural network classification

Abstract doi.org/10.14569/IJACSA.2023.0140820 PDF

21

An Enhanced Algorithm of Improved Response Time of ITS-G5 Protocol

Author 1: Kawtar Jellid Author 2: Tomader Mazri

This research article proposes an algorithm for improving the ITS-G5 protocol, which addresses the issue of response time. The algorithm includes the integration of Dijkstra's algorithm to prioritize shorter paths for message transmission, resulting in reduced delays. The initial algorithm for the ITS-G5 protocol is presented, followed by the modified… Read full abstract & cite →

ITS-G5 (Intelligent Transport Systems) V2V (Vehicle-to-Vehicle) V2I (Vehicle-to-Infrastructure) V2X (Vehicle-to-everything) autonomous vehicle

Abstract doi.org/10.14569/IJACSA.2023.0140821 PDF

22

Design and Application of an Automatic Scoring System for English Composition Based on Artificial Intelligence Technology

Author 1: Fengqin Zhang

The automatic grading of English compositions involves utilizing natural language processing, statistics, artificial intelligence (AI), and other techniques to evaluate and score compositions. This approach is objective, fair, and resource-efficient. The current widely used evaluation system for English compositions falls short in off-topic assessment, as subjective factors in manual marking… Read full abstract & cite →

English composition automatic scoring artificial intelligence text matching degree natural language processing

Abstract doi.org/10.14569/IJACSA.2023.0140822 PDF

23

An Efficient Deep Learning with Optimization Algorithm for Emotion Recognition in Social Networks

Author 1: Ambika G N Author 2: Yeresime Suresh

Emotion recognition, or computers' ability to interpret people's emotional states, is a rapidly expanding topic with many life-improving applications. However, most image-based emotion recognition algorithms have flaws since people can disguise their emotions by changing their facial expressions. As a result, brain signals are being used to detect human emotions… Read full abstract & cite →

Blue monkey optimization (BMO) deep learning electroencephalograph (EEG) emotion recognition human-computer interaction (HCI) radial basis function networks (RBFN)

Abstract doi.org/10.14569/IJACSA.2023.0140823 PDF

24

Improved Drosophila Visual Neural Network Application in Vehicle Target Tracking and Collision Warning

Author 1: Jianyi Wu

To enable the vehicle tracking and collision warning system to face more complex road information, the Drosophila visual neural network collision warning algorithm has been improved, including image stabilization algorithm, target region synthesis algorithm, and target tracking algorithm. The results showed that the improved image stabilization algorithm had significantly higher… Read full abstract & cite →

Drosophila visual neural network collision warning target calibration target tracking

Abstract doi.org/10.14569/IJACSA.2023.0140824 PDF

25

Earth Observation Satellite: Big Data Retrieval Method with Fuzzy Expression of Geophysical Parameters and Spatial Features

Author 1: Kohei Arai

A method for fuzzy retrievals of Earth observation satellite image database using geophysical parameters and spatial features is proposed. It is confirmed that the proposed method allows fuzzy expressions of queries with sea surface temperature, chlorophyll-a concentration and cloud coverage as well as circle, line and edge, for instance “rather… Read full abstract & cite →

Fuzzy retrieval earth observation satellite big data geophysical parameter oceanographer circle feature arc feature line feature fuzzy expression

Abstract doi.org/10.14569/IJACSA.2023.0140825 PDF

26

Virtual Route Guide Chatbot Based on Random Forest Classifier

Author 1: Puspa Miladin Nuraida Safitri A. Basid Author 2: Fajar Rohman Hariri Author 3: Fresy Nugroho Author 4: Ajib Hanani Author 5: Firman Jati Pamungkas

Improvements in the quality of tourism services and the number of human resources will affect the quality of social services and information services provided to foreign tourists, thereby enhancing the quality of services offered regarding tourist destination information in the Malang Raya area. Considering the urgency of foreign tourists in… Read full abstract & cite →

Tourism chatbot artificial intelligence random forest classifier

Abstract doi.org/10.14569/IJACSA.2023.0140826 PDF

27

Approaches and Tools for Quality Assurance in Distance Learning: State-of-play

Author 1: Silvia Gaftandzhieva Author 2: Rositsa Doneva Author 3: Senthil Kumar Jagatheesaperumal

In recent years, distance learning has become an increasingly popular mode of education due to its flexibility and accessibility. However, the quality of distance learning programs has been a cause for concern, which has led to the development of various approaches and tools for quality assurance and assessment. This review… Read full abstract & cite →

Distance learning quality assurance assessment stakeholder satisfaction regulatory documents performance indicators

Abstract doi.org/10.14569/IJACSA.2023.0140827 PDF

28

Efficient Parameter Estimation in Image Processing using a Multi-Agent Hysteretic Q-Learning Approach

Author 1: Issam QAFFOU

Optimizing image processing parameters is often a time-consuming and unreliable task that requires manual adjustments. In this paper, we present a novel approach that utilizes a multi-agent system with Hysteretic Q-learning to automatically optimize these parameters, providing a more efficient solution. We conducted an empirical study that focused on extracting… Read full abstract & cite →

Parameter estimation reinforcement learning cooperative agents hysteretic q-learning optimistic agent object extraction

Abstract doi.org/10.14569/IJACSA.2023.0140828 PDF

29

Design and Implementation of an IoT Control and Monitoring System for the Optimization of Shrimp Pools using LoRa Technology

Author 1: José M. Pereira Pontón Author 2: Verónica Ojeda Author 3: Víctor Asanza Author 4: Leandro L. Lorente-Leyva Author 5: Diego H. Peluffo-Ordóñez

The shrimp farming industry in Ecuador, renowned for its shrimp breeding and exportation, faces challenges due to diseases related to variations in abiotic factors during the maturation stage. This is partly attributed to the traditional methods employed in shrimp farms. Consequently, a prototype has been developed for monitoring and controlling… Read full abstract & cite →

Control and monitoring system shrimp pools IoT architecture LoRa technology fuzzy logic control

Abstract doi.org/10.14569/IJACSA.2023.0140829 PDF

30

An Overview of Vision Transformers for Image Processing: A Survey

Author 1: Ch. Sita Kameswari Author 2: Kavitha J Author 3: T. Srinivas Reddy Author 4: Balaswamy Chinthaguntla Author 5: Senthil Kumar Jagatheesaperumal Author 6: Silvia Gaftandzhieva Author 7: Rositsa Doneva

Using image processing technology has become increasingly essential in the education sector, with universities and educational institutions exploring innovative ways to enhance their teaching techniques and provide a better learning experience for their students. Vision transformer-based models have been highly successful in various domains of artificial intelligence, including natural language… Read full abstract & cite →

Vision transformers image processing natural language processing image

Abstract doi.org/10.14569/IJACSA.2023.0140830 PDF

31

Multimodal Contactless Architecture for Upper Limb Virtual Rehabilitation

Author 1: Emilio Valdivia-Cisneros Author 2: Elizabeth Vidal Author 3: Eveling Castro-Gutierrez

The use of virtual rehabilitation systems for upper limbs has been implemented using different devices, and its efficiency as a complement to traditional therapies has been demonstrated. Multimodal systems are necessary for virtual rehabilitation systems since they allow multiple sources of information for both input and output so that the… Read full abstract & cite →

Human computer interaction (HCI) multimodal feedback architecture upper limb rehabilitation contactless

Abstract doi.org/10.14569/IJACSA.2023.0140831 PDF

32

Attitude Synchronization and Stabilization for Multi-Satellite Formation Flying with Advanced Angular Velocity Observers

Author 1: Belkacem Kada Author 2: Khalid Munawar Author 3: Muhammad Shafique Shaikh

This paper focuses on two aspects of satellite formation flying (SFF) control: finite-time attitude synchronization and stabilization under undirected time-varying communication topology and synchronization without angular velocity measurements. First, a distributed nonlinear control law ensures rapid convergence and robust disturbance attenuation. To prove stability, a Lyapunov function involving an integrator… Read full abstract & cite →

Attitude synchronization coordinated control finite-time control high-order sliding mode observer inter-satellite communication links leader-following consensus switching communication topology

Abstract doi.org/10.14569/IJACSA.2023.0140832 PDF

33

Hussein Search Algorithm: A Novel Efficient Searching Algorithm in Constant Time Complexity

Author 1: Omer H Abu El Haijia Author 2: Arwa H. F. Zabian

Hussein search algorithm focuses on the fundamental concept of searching in computer science and aims to enhance the retrieval of data from various data warehouses. The efficiency of cloud systems is substantially influenced by the manner in which data is saved and retrieved, given the vast quantity of data being… Read full abstract & cite →

Binary search prediction search procedure prediction cost constant time complexity

Abstract doi.org/10.14569/IJACSA.2023.0140833 PDF

34

Testing the Usability of Serious Game for Low Vision Children

Author 1: Nurul Izzah Othman Author 2: Hazura Mohamed Author 3: Nor Azan Mat Zin

Serious games are prodigious tools for building language, science and math knowledge and skills. Despite a growing number of studies on using serious games for learning, children with visual impairment have obstacles when playing the games. Low vision children have a visual balance that can be assisted with assistive technology… Read full abstract & cite →

Serious game learning low vision usability accessibility

Abstract doi.org/10.14569/IJACSA.2023.0140834 PDF

35

Cybersecurity Advances in SCADA Systems

Author 1: Bakil Al-Muntaser Author 2: Mohamad Afendee Mohamed Author 3: Ammar Yaseen Tuama Author 4: Imran Ahmad Rana

The management of critical infrastructure heavily relies on Supervisory Control and Data Acquisition [SCADA] systems, but as they become more connected, insider attacks become a greater concern. Insider threat detection systems [IDS] powered by machine learning have emerged as a potential answer to this problem. In order to identify and… Read full abstract & cite →

Threat detection SCADA security machine learning-based intrusion detection cyber-physical systems security insider attack prevention

Abstract doi.org/10.14569/IJACSA.2023.0140835 PDF

36

Model Classification of Fire Weather Index using the SVM-FF Method on Forest Fire in North Sumatra, Indonesia

Author 1: Darwis Robinson Manalu Author 2: Opim Salim Sitompul Author 3: Herman Mawengkang Author 4: Muhammad Zarlis

As a tropical country, Indonesia is situated in Southeast Asia nation has vast forests. Forest fire occur busy vary due to land conditions and forest conditions in drought season. The indicator used mitigated potential forest fire is to study the indicator behavior of the fire weather index (FWI). The data… Read full abstract & cite →

Fire weather index forest fire support vector machine SVM-FF model

Abstract doi.org/10.14569/IJACSA.2023.0140836 PDF

37

Prediction of Cryptocurrency Price using Time Series Data and Deep Learning Algorithms

Author 1: Michael Nair Author 2: Mohamed I. Marie Author 3: Laila A. Abd-Elmegid

One of the most significant and extensively utilized cryptocurrencies is Bitcoin (BTC). It is used in many different financial and business activities. Forecasting cryptocurrency prices are crucial for investors and academics in this industry because of the frequent volatility in the price of this currency. However, because of the nonlinearity… Read full abstract & cite →

Cryptocurrency deep learning prediction LSTM

Abstract doi.org/10.14569/IJACSA.2023.0140837 PDF

38

Advances in Value-based, Policy-based, and Deep Learning-based Reinforcement Learning

Author 1: Haewon Byeon

Machine learning is a branch of artificial intelligence in which computers use data to teach themselves and improve their problem-solving abilities. In this case, learning is the process by which computers use data and algorithms to build models that improve performance, and it can be divided into supervised learning, unsupervised… Read full abstract & cite →

Reinforcement learning value-based algorithms policy gradient-based reinforcement learning reinforcement learning with intrinsic rewards deep learning-based reinforcement learning

Abstract doi.org/10.14569/IJACSA.2023.0140838 PDF

39

Scalable Blockchain Architecture: Leveraging Hybrid Shard Generation and Data Partitioning

Author 1: Praveen M Dhulavvagol Author 2: Prasad M R Author 3: Niranjan C Kundur Author 4: Jagadisha N Author 5: S G Totad

Blockchain technology has gained widespread recognition and adoption in various domains, but its implementation beyond crypto currencies faces a significant challenge - poor scalability. The serial execution of transactions in existing blockchain systems hampers transaction throughput and increases network latency, limiting overall system performance. In response to this limitation, this… Read full abstract & cite →

Ethereum shard generation data partitioning proof of work

Abstract doi.org/10.14569/IJACSA.2023.0140839 PDF

40

Detection of Herd Pigs Based on Improved YOLOv5s Model

Author 1: Jianquan LI Author 2: Xiao WU Author 3: Yuanlin NING Author 4: Ying YANG Author 5: Gang LIU Author 6: Yang MI

Fast and accurate detection technology for individual pigs raised in herds is crucial for subsequent research on counting and disease surveillance. In this paper, we propose an improved lightweight object detection method based on YOLOv5s to improve the speed and accuracy of detection of herd-raised pigs in real-world and complex… Read full abstract & cite →

Pig deep learning computer vision object detection

Abstract doi.org/10.14569/IJACSA.2023.0140840 PDF

41

The Impact of Cyber Security on Preventing and Mitigating Electronic Crimes in the Jordanian Banking Sector

Author 1: Tamer Bani Amer Author 2: Mohammad Ibrahim Ahmed Al-Omar

As technology advances and cyber threats continue to evolve, cyber security professionals play a critical role in developing and implementing robust security measures, staying ahead of potential risks, and mitigating the impact of cyber incidents. Many studies have examined the impact of cyber security on banks, without focusing on electronic… Read full abstract & cite →

Cyber security electronic crime Jordanian banks banking sector

Abstract doi.org/10.14569/IJACSA.2023.0140841 PDF

42

Research on the Local Path Planning for Mobile Robots based on PRO-Dueling Deep Q-Network (DQN) Algorithm

Author 1: Yaoyu Zhang Author 2: Caihong Li Author 3: Guosheng Zhang Author 4: Ruihong Zhou Author 5: Zhenying Liang

This paper proposes a Pro-Dueling DQN algorithm to solve the problems of slow convergence speed and waste of effective experience of the traditional DQN (Deep Q-Network) algorithm for the local path planning of mobile robot. The new algorithm introduces a priority experience playback mechanism based on SumTree to avoid forgetting… Read full abstract & cite →

Deep Q-Network (DQN) algorithm local path planning mobile robot Pro-Dueling DQN algorithm SumTree

Abstract doi.org/10.14569/IJACSA.2023.0140842 PDF

43

Prostate Cancer Detection and Analysis using Advanced Machine Learning

Author 1: Mowafaq Salem Alzboon Author 2: Mohammad Subhi Al-Batah

Prostate cancer is one of the leading causes of cancer-related deaths among men. Early detection of prostate cancer is essential in improving the survival rate of patients. This study aimed to develop a machine-learning model for detecting and diagnosing prostate cancer using clinical and radiological data. The dataset consists of… Read full abstract & cite →

Prostate cancer machine learning clinical data radiological data diagnosis medical diagnosis

Abstract doi.org/10.14569/IJACSA.2023.0140843 PDF

44

Application of Improved Ant Colony Algorithm Integrating Adaptive Parameter Configuration in Robot Mobile Path Design

Author 1: Jinli Han

Under the background of the continuous progress of Industry 4.0 reform, the market demand for mobile robots in major world economies is gradually increasing. In order to improve the mobile robot's movement path planning quality and obstacle avoidance ability, this research adjusted the node selection method, pheromone update mechanism, transition… Read full abstract & cite →

Ant colony algorithm robots mobile path planning obstacle avoidance

Abstract doi.org/10.14569/IJACSA.2023.0140844 PDF

45

Simulation of Logistics Frequent Path Data Mining Based on Statistical Density

Author 1: Fengju Hou

Sharp increases and rapid development followed the effects of a novel coronavirus outbreak on online sales and the real economy. The e-commerce mode on the Internet has attracted much attention, and users' purchases on the Internet has never been done before. However, among the many express companies, as the ones… Read full abstract & cite →

Statistical density logistics the path the simulation data

Abstract doi.org/10.14569/IJACSA.2023.0140845 PDF

46

Simulation Analysis of Hydraulic Control System of Engineering Robot Arm Based on ADAMS

Author 1: Haiqing Wu

Substantial trenching capacity, communication capabilities, simple configuration, and so on are just a few of the many benefits that make Hydraulic Control Systems (HCS) the context of physical devices used within the geotechnical trench. These characteristics have led to widespread application in developing water conservation and hydroelectric technology, architectural construction… Read full abstract & cite →

Hydraulic control systems ADAMS simulation analysis engineering robot arm

Abstract doi.org/10.14569/IJACSA.2023.0140846 PDF

47

Enhanced Transfer Learning Strategies for Effective Kidney Tumor Classification with CT Imaging

Author 1: Muneer Majid Author 2: Yonis Gulzar Author 3: Shahnawaz Ayoub Author 4: Farhana Khan Author 5: Faheem Ahmad Reegu Author 6: Mohammad Shuaib Mir Author 7: Wassim Jaziri Author 8: Arjumand Bano Soomro

Kidney tumours (KTs) rank seventh in global tumour prevalence among both males and females, posing a significant health challenge worldwide. Early detection of KT plays a crucial role in reducing mortality rates, mitigating side effects, and effectively treating the tumor. In this context, computer-assisted diagnosis (CAD) offers promising benefits, such… Read full abstract & cite →

Kidney kidney tumor automatic diagnosis machine learning algorithms CT imaging deep learning transfer learning

Abstract doi.org/10.14569/IJACSA.2023.0140847 PDF

48

A Hybrid Metaheuristic Model for Efficient Analytical Business Prediction

Author 1: Marischa Elveny Author 2: Mahyuddin K. M Nasution Author 3: Rahmad B. Y Syah

Accurate and efficient business analytical predictions are essential for decision making in today's competitive landscape. Involves using data analysis, statistical methods, and predictive modeling to extract insights and make decisions. Current trends focus on applying business analytics to predictions. Optimizing business analytics predictions involves increasing the accuracy and efficiency of… Read full abstract & cite →

Efficiency analytics business predictions Particle Swam Optimization (PSO) Gravitational Search Optimization (GSO)

Abstract doi.org/10.14569/IJACSA.2023.0140848 PDF

49

A Mechanism for Bitcoin Price Forecasting using Deep Learning

Author 1: Karamath Ateeq Author 2: Ahmed Abdelrahim Al Zarooni Author 3: Abdur Rehman Author 4: Muhammd Adna Khan

Researchers and investors have recently become interested in forecasting the cryptocurrency price forecasting but the most important currency can take that it’s the bitcoin exchange rate. Some researchers have aimed at leveraging the technical and financial characteristics of Bitcoin to create predictive models, while others have utilized conventional statistical methods… Read full abstract & cite →

Currency bitcoin LSTM forecasting models

Abstract doi.org/10.14569/IJACSA.2023.0140849 PDF

50

Research on Improving Piano Performance Evaluation Method in Piano Assisted Online Education

Author 1: Huayi Qi Author 2: Chunhua She

With the continuous progress of science and technology and the popularization of the Internet, online piano education has gradually emerged. This educational model provides piano learning resources and communication platforms through the network platform, so that students can learn piano at home anytime and anywhere. However, there are still some… Read full abstract & cite →

Short-term memory network attention mechanism musical instrument digital interface online education piano performance evaluation model

Abstract doi.org/10.14569/IJACSA.2023.0140850 PDF

51

Methodological Insights Towards Leveraging Performance in Video Object Tracking and Detection

Author 1: Divyaprabha Author 2: M. Z Kurian

Video Object Detection and Tracking (VODT), one of its integral operations of surveillance system in present time, mechanizes a way to identify and track the target object autonomously and seamlessly within its visual field. However, the challenges associated with video feeding are immensely high, and the scene context is out… Read full abstract & cite →

Object detection object tracking video visual field surveillance system video feed

Abstract doi.org/10.14569/IJACSA.2023.0140851 PDF

52

Pairwise Test Case Generation using (1+1) Evolutionary Algorithm for Software Product Line Testing

Author 1: Sharafeldin Kabashi Khatir Author 2: Rabatul Aduni Binti Sulaiman Author 3: Mohammed Adam Kunna Azrag Author 4: Jasni Mohamad Zain Author 5: Julius Beneoluchi Odili Author 6: Samer Ali Al-Shami

Software product line SPLs, or software product lines, are groups of similar software systems that share some commonalities but stand out from one another in terms of the features they offer. Over the past few decades, SPLs have been the focus of a great deal of study and implementation in… Read full abstract & cite →

SPL SPL testing combinatorial testing pairwise testing evolutionary algorithm 1+1 EA

Abstract doi.org/10.14569/IJACSA.2023.0140852 PDF

53

Campus Network Intrusion Detection Based on Gated Recurrent Neural Network and Domain Generation Algorithm

Author 1: Qi Rong Author 2: Guang Zhao

Network attacks are diversified, rare and Universal generalization. This has made the exploration and construction of network information flow packet threat detection systems, which becomes a hot research topic in preventing network attacks. So this study establishes a network data threat detection model based on traditional network threat detection systems… Read full abstract & cite →

Gated recurrent domain generation algorithm campus network threat detection neural network

Abstract doi.org/10.14569/IJACSA.2023.0140853 PDF

54

Dynamic Modelling of Hand Grasping and Wrist Exoskeleton: An EMG-based Approach

Author 1: Mohd Safirin Bin Karis Author 2: Hyreil Anuar Bin Kasdirin Author 3: Norafizah Binti Abas Author 4: Muhammad Noorazlan Shah Bin Zainudin Author 5: Sufri Bin Muhammad Author 6: Mior Muhammad Nazmi Firdaus Bin Mior Fadzil

Human motion intention plays an important role in designing an exoskeleton hand wrist control for post-stroke survivors especially for hand grasping movement. The challenges occurred as sEMG signal frequently being affected by noises from its surroundings. To overcome these issues, this paper aims to establish the relationship between sEMG signal… Read full abstract & cite →

Hand grasping wrist control ANN ANFIS exoskeleton wrist design

Abstract doi.org/10.14569/IJACSA.2023.0140854 PDF

55

Research on Semantic Segmentation Method of Remote Sensing Image Based on Self-supervised Learning

Author 1: Wenbo Zhang Author 2: Achuan Wang

To address the challenge of requiring a large amount of manually annotated data for semantic segmentation of remote sensing images using deep learning, a method based on self-supervised learning is proposed. Firstly, to simultaneously learn the global and local features of remote sensing images, a self-supervised learning network structure called… Read full abstract & cite →

Computer vision deep learning self-supervised learning remote sensing image semantic segmentation

Abstract doi.org/10.14569/IJACSA.2023.0140855 PDF

56

Mechatronics Design and Robotic Simulation of Serial Manipulators to Perform Automation Tasks in the Avocado Industry

Author 1: Carlos Paredes Author 2: Ricardo Palomares Author 3: Josmell Alva Author 4: José Cornejo

Peru is considered one of the principal agroindustrial avocado exporters worldwide. At the beginning of 2022, the volume exported was 8.3% higher than in 2021, so the design and simulation of a pick and place and palletizing cell for agro-exporting companies in the Region of La Libertad was proposed. A… Read full abstract & cite →

Mechatronic design inverse kinematics dynamic modeling pick and place palletizing Scara robot universal robot robot manipulators path tracking simulation kinematic control

Abstract doi.org/10.14569/IJACSA.2023.0140856 PDF

57

Integrating Transfer Learning and Deep Neural Networks for Accurate Medical Disease Diagnosis from Multi-Modal Data

Author 1: Chamandeep Kaur Author 2: Abdul Rahman Mohammed Al-Ansari Author 3: Taviti Naidu Gongada Author 4: K. Aanandha Saravanan Author 5: Divvela Srinivasa Rao Author 6: Ricardo Fernando Cosio Borda Author 7: R. Manikandan

Effective patient treatment and care depend heavily on accurate disease diagnosis. The availability of multi-modal medical data in recent years, such as genetic profiles, clinical reports, and imaging scans, has created new possibilities for increasing diagnostic precision. However, because of their inherent complexity and variability, analyzing and integrating these varied… Read full abstract & cite →

Transfer learning deep neural network disease diagnosis multi-modal data Alexnet GLCM DNN pre-trained model

Abstract doi.org/10.14569/IJACSA.2023.0140857 PDF

58

An Integrated Instrument for Measuring Science, Technology, Engineering, and Mathematics: Digital Educational Game Acceptance and Player Experience

Author 1: Husna Hafiza R. Azami Author 2: Roslina Ibrahim Author 3: Suraya Masrom Author 4: Rasimah Che Mohd Yusoff Author 5: Suraya Yaacob

Digital educational games (DEGs) are effective learning tools for subjects related to science, technology, engineering, and mathematics (STEM), yet they are still not widely used among students. Existing instruments typically assess player experience (PX) and acceptance separately, even though both are essential DEG evaluations that can be merged and analyzed… Read full abstract & cite →

Game education acceptance experience stem

Abstract doi.org/10.14569/IJACSA.2023.0140858 PDF

59

Human-object Behavior Analysis Based on Interaction Feature Generation Algorithm

Author 1: Qing Ye Author 2: Xiuju Xu Author 3: Rui Li

Aiming at the problem of insufficient utilization of interactive feature information between human and object, this paper proposes a two-stream human-object behavior analysis network based on interaction feature generation algorithm. The network extracts human-object’s feature information and interactive feature information respectively. When extracting human-object features information, considering that ResNeXt has… Read full abstract & cite →

Two-stream human-object behavior analysis network interaction feature generation algorithm interactive feature information ResNeXt graph convolutional neural networks graph model

Abstract doi.org/10.14569/IJACSA.2023.0140859 PDF

60

A Proposed Framework for Context-Aware Semantic Service Provisioning

Author 1: Wael Haider Author 2: Hatem Abdelkader Author 3: Amira Abdelwahab

Web-hosted Internet of Things (IoT) applications are the next logical step in the recent endeavor by academia and industry to design and standardize new communication protocols for smart objects. Context Awareness is defined as the property of a system that employs context to provide related information or services to the… Read full abstract & cite →

Internet of Things (IoT) Web of Things (WoT) Web of Objects (WoOs) context-awareness service provisioning interoperability ontology OWL

Abstract doi.org/10.14569/IJACSA.2023.0140860 PDF

61

Impact of the Use of the Video Game SimCity on the Development of Critical Thinking in Students: A Quantitative Experimental Approach

Author 1: Jorge Luis Torres-Loayza Author 2: Grunilda Telma Reymer-Morales Author 3: Benjamín Maraza-Quispe

The objective of the research is to determine to what extent the use of the SimCity video game allows the development of critical thinking in the teaching-learning processes of students. The methodology applied consisted of a research with a quantitative approach of experimental type, working with a sample of 25… Read full abstract & cite →

SimCity video games critical thinking critical learning

Abstract doi.org/10.14569/IJACSA.2023.0140861 PDF

62

An Automated Medical Image Segmentation Framework using Deep Learning and Variational Autoencoders with Conditional Neural Networks

Author 1: Dustakar Surendra Rao Author 2: L. Koteswara Rao Author 3: Bhagyaraju Vipparthi

It is a highly difficult challenge to achieve correlation between images by reliable image authentication and this is essential for numerous therapeutic activities like combining images, creating tissue atlases and tracking the development of the tumors. The separation of healthcare data utilizing deep learning variational autoencoders and conditional neural networks… Read full abstract & cite →

Deep learning variational autoencoders CNN medical image segmentation automated diagnosis and treatment

Abstract doi.org/10.14569/IJACSA.2023.0140862 PDF

63

Estimating Probability Values Based on Naïve Bayes for Fuzzy Random Regression Model

Author 1: Hamijah Mohd Rahman Author 2: Nureize Arbaiy Author 3: Chuah Chai Wen Author 4: Pei-Chun Lin

In the process of treating uncertainties of fuzziness and randomness in real regression application, fuzzy random regression was introduced to address the limitation of classical regression which can only fit precise data. However, there is no systematic procedure to identify randomness by means of probability theories. Besides, the existing model… Read full abstract & cite →

Naïve Bayes fuzziness randomness probability estimation

Abstract doi.org/10.14569/IJACSA.2023.0140863 PDF

64

A New Approach of Hybrid Sampling SMOTE and ENN to the Accuracy of Machine Learning Methods on Unbalanced Diabetes Disease Data

Author 1: Hairani Hairani Author 2: Dadang Priyanto

The performance of machine learning methods in disease classification is affected by the quality of the dataset, one of which is unbalanced data. One example of health data that has unbalanced data is diabetes disease data. If unbalanced data is not addressed, it can affect the performance of the classification… Read full abstract & cite →

SMOTE-ENN data imbalance SVM random forest health dataset

Abstract doi.org/10.14569/IJACSA.2023.0140864 PDF

65

An Ensemble Load Balancing Algorithm to Process the Multiple Transactions Over Banking

Author 1: Raghunadha Reddi Dornala

The banking industry has been transformed by cloud computing, which has provided scalable and cost-effective solutions for managing large volumes of transactions. However, as the number of transactions grow, the need for efficient load-balancing algorithms to ensure optimal utilization of cloud resources and improve system performance becomes critical. This paper… Read full abstract & cite →

Cloud computing load balancing ensemble algorithm banking transaction processing resource utilization response time scalability

Abstract doi.org/10.14569/IJACSA.2023.0140865 PDF

66

Genetic Approach for Improved Prediction of Adaptive Learning Activities in Intelligent Tutoring System

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

The intelligent tutoring system registers the reference data of the learners in a database. This data is stored for later use in the instructional module. Designing a student model is not an easy task. It is first necessary to identify the knowledge acquired by the learner, then identify the learner's… Read full abstract & cite →

Intelligent tutoring system learner model genetic algorithm adaptive learning activities

Abstract doi.org/10.14569/IJACSA.2023.0140866 PDF

67

Algorithm for Skeleton Action Recognition by Integrating Attention Mechanism and Convolutional Neural Networks

Author 1: Jianhua Liu

An action recognition model based on 3D skeleton data may experience a decrease in recognition accuracy when facing complex backgrounds, and it is easy to overlook the local connection between dynamic gradient information and dynamic actions, resulting in a decrease in the fault tolerance of the constructed model. To achieve… Read full abstract & cite →

Attention mechanism convolutional neural network action recognition central differential network spacetime converter directed graph convolution

Abstract doi.org/10.14569/IJACSA.2023.0140867 PDF

68

A Population-based Plagiarism Detection using DistilBERT-Generated Word Embedding

Author 1: Yuqin JING Author 2: Ying LIU

Plagiarism is the unacknowledged use of another person’s language, information, or writing without crediting the source. This manuscript presents an innovative method for detecting plagiarism utilizing attention mechanism-based LSTM and the DistilBERT model, enhanced by an enriched differential evolution (DE) algorithm for pre-training and a focal loss function for training… Read full abstract & cite →

Plagiarism detection LSTM imbalanced classification DistilBERT differential evolution focal loss

Abstract doi.org/10.14569/IJACSA.2023.0140868 PDF

69

Enhancing Startup Efficiency: Multivariate DEA for Performance Recognition and Resource Optimization in a Dynamic Business Landscape

Author 1: K. N. Preethi Author 2: Yousef A. Baker El-Ebiary Author 3: Esther Rosa Saenz Arenas Author 4: Kathari Santosh Author 5: Ricardo Fernando Cosio Borda Author 6: Anuradha. S Author 7: R. Manikandan

Startups encounter a variety of difficulties in maximising their performance and resource allocation in the dynamic business environment of today. This study employs a two-stage methodology to address the challenges faced by startups in optimizing their performance and resource allocation in the dynamic contemporary business environment. The research utilizes an… Read full abstract & cite →

Startup efficiency data envelopment analysis logistic approach resource allocation dynamic business landscape

Abstract doi.org/10.14569/IJACSA.2023.0140869 PDF

70

Design and Improvement of New Industrial Robot Mechanism Based on Innovative BP-ARIMA Combined Model

Author 1: Yuanyuan Liu

The main innovation of Industry 4.0, which involves human-robot cooperation, is transforming industrial operation facilities. Robotic systems have been developed as modern industrial solutions to assist operators in carrying out manual tasks in cyber-physical industrial environments. These robots integrate unique human talents with the capabilities of intelligent machinery. Due to… Read full abstract & cite →

Industry 4.0 robotics design backpropagation autoregressive integrated moving average (BP-ARIMA) and operation facilities

Abstract doi.org/10.14569/IJACSA.2023.0140870 PDF

71

A Proposed Approach for Monkeypox Classification

Author 1: Luong Hoang Huong Author 2: Nguyen Hoang Khang Author 3: Le Nhat Quynh Author 4: Le Huu Thang Author 5: Dang Minh Canh Author 6: Ha Phuoc Sang

Public health concerns have been heightened by the emergence and spread of monkeypox, a viral disease that affects both humans and animals. The significance of early detection and diagnosis of monkeypox cannot be overstated, as it plays a crucial role in minimizing the negative impact on affected individuals and safeguarding… Read full abstract & cite →

Monkeypox machine learning deep learning skin lesions

Abstract doi.org/10.14569/IJACSA.2023.0140871 PDF

72

CryptoScholarChain: Revolutionizing Scholarship Management Framework with Blockchain Technology

Author 1: Jadhav Swati Author 2: Pise Nitin

Scholarship management is a crucial aspect of higher education systems, aimed at supporting deserving students and reducing financial barriers. However, traditional scholarship management processes often suffer from challenges such as a lack of transparency, inefficient communication, and difficulty tracking and verifying scholarship applications. Recently, Blockchain technology has emerged as a… Read full abstract & cite →

Blockchain smart scholarship management smart contract solidity

Abstract doi.org/10.14569/IJACSA.2023.0140872 PDF

73

The Application of Decision Tree Classification Algorithm on Decision-Making for Upstream Business

Author 1: Mohd Shahrizan Abd Rahman Author 2: Nor Azliana Akmal Jamaludin Author 3: Zuraini Zainol Author 4: Tengku Mohd Tengku Sembok

In today's rapidly advancing technological landscape and evolving business paradigms, the pursuit of insightful patterns and concealed knowledge beyond conventional big data becomes imperative. This pursuit serves a crucial role in aiding stakeholders, particularly in the realms of tactical decision-making and forecasting, with a particular focus on business strategy and… Read full abstract & cite →

Decision-making strategies decision tree family business decisions upstream oil & gas predictive analysis project control project planning machine learning algorithms

Abstract doi.org/10.14569/IJACSA.2023.0140873 PDF

74

Deep Learning Enhanced Internet of Medical Things to Analyze Brain Computed Tomography Images of Stroke Patients

Author 1: Batyrkhan Omarov Author 2: Azhar Tursynova Author 3: Meruert Uzak

In the realm of advancing medical technology, this paper explores a revolutionary amalgamation of deep learning algorithms and the Internet of Medical Things (IoMT), demonstrating their efficacy in decoding the labyrinthine intricacies of brain Computed Tomography (CT) images from stroke patients. Deploying an avant-garde deep learning framework, we lay bare… Read full abstract & cite →

Deep learning machine learning stroke diagnosis detection computed tomography

Abstract doi.org/10.14569/IJACSA.2023.0140874 PDF

75

Chatbot Program for Proposed Requirements in Korean Problem Specification Document

Author 1: Young Yun Baek Author 2: Soojin Park Author 3: Young B. Park

In software engineering, requirement analysis is a crucial task throughout the entire process and holds significant importance. However, factors contributing to the failure of requirement analysis include communication breakdowns, divergent interpretations of requirements, and inadequate execution of requirements. To address these issues, a proposed approach involves utilizing NLP machine learning… Read full abstract & cite →

Requirement engineering NLP machine learning clustering Korean document chatbot

Abstract doi.org/10.14569/IJACSA.2023.0140875 PDF

76

Applying Artificial Intelligence and Computer Vision for Augmented Reality Game Development in Sports

Author 1: Nurlan Omarov Author 2: Bakhytzhan Omarov Author 3: Axaule Baibaktina Author 4: Bayan Abilmazhinova Author 5: Tolep Abdimukhan Author 6: Bauyrzhan Doskarayev Author 7: Akzhan Adilzhan

This paper delineates the intricate process of crafting an Augmented Reality (AR)-enriched version of the Subway Surfers game, engineered with an emphasis on action recognition and the leverage of Artificial Intelligence (AI) principles, with the primary objective of boosting children's enthusiasm towards physical activity. The gameplay, fundamentally predicated on advanced… Read full abstract & cite →

Augmented reality computer vision game development action detection action classification machine learning

Abstract doi.org/10.14569/IJACSA.2023.0140876 PDF

77

PMG-Net: Electronic Music Genre Classification using Deep Neural Networks

Author 1: Yuemei Tang

With the rapid development of electronic music industry, how to establish a set of electronic music genre automatic classification technology has also become an urgent problem. This paper utilized neural network (NN) technology to classify electronic music genres. The basic idea of the research was to establish a deep neural… Read full abstract & cite →

Music genre classification deep neural networks convolutional neural networks model PMG-Net model

Abstract doi.org/10.14569/IJACSA.2023.0140877 PDF

78

Automatic Layout Algorithm for Graphic Language in Visual Communication Design

Author 1: Xiaofang Liao Author 2: Xinqian Hu

As computer technology advances, people's capacity for visual perception grows better, and the demands placed on computerized layouts progressively rise. The simple style of graphics is no longer the only option for computer figure video creation; instead, there is a greater tendency to visually represent the effect and improve the… Read full abstract & cite →

Graphic language visual communication design layout algorithm design elements grid layout content layout

Abstract doi.org/10.14569/IJACSA.2023.0140878 PDF

79

Smart Sensor Signal-Assisted Behavioral Model and Control of Live Interaction in Digital Media Art

Author 1: Pujie Li Author 2: Shi Bai

Digital media art immersive scene design is a type of art design based on the theory of positive psychology mind flow theory, using digital media as the main technology and tool to build a certain scene by stimulating the senses and perception of the user so that they can achieve… Read full abstract & cite →

Intelligent sensors digital media VR technology artistic interaction

Abstract doi.org/10.14569/IJACSA.2023.0140879 PDF

80

Research on Strategic Decision Model of Human Resource Management based on Biological Neural Network

Author 1: Ke Xu

Human resource management system is an indispensable part of information strategy construction. Based on the theory of biological neural network, this paper constructs the strategic decision model of human resources management, then uses the micro-integration method to predict the demand for human resources, and solves the quantification problem of human… Read full abstract & cite →

Biological neural network human resources management strategic decision making index selection

Abstract doi.org/10.14569/IJACSA.2023.0140880 PDF

81

Multimodal Deep Learning Approach for Real-Time Sentiment Analysis in Video Streaming

Author 1: Tejashwini S. G Author 2: Aradhana D

Recognizing emotions from visual data, like images and videos, presents a daunting challenge due to the intricacy of visual information and the subjective nature of human emotions. Over the years, deep learning has showcased remarkable success in diverse computer vision tasks, including sentiment classification. This paper introduces a novel multi-view… Read full abstract & cite →

Deep learning emotion recognition feature ex-traction machine learning sentiment analysis visual data

Abstract doi.org/10.14569/IJACSA.2023.0140881 PDF

82

3D Magnetic Resonance Image Denoising using Wasserstein Generative Adversarial Network with Residual Encoder-Decoders and Variant Loss Functions

Author 1: Hanaa A. Sayed Author 2: Anoud A. Mahmoud Author 3: Sara S. Mohamed

Magnetic resonance imaging (MRI) is frequently contaminated by noise during scanning and transmission of images, this deteriorates the accuracy of quantitative measures from the data and limits disease diagnosis by doctors or a computerized system. It is common for MRI to suffer from noise commonly referred to as Rician noise… Read full abstract & cite →

Deep learning image denoising MRI Wasserstein GAN loss function

Abstract doi.org/10.14569/IJACSA.2023.0140882 PDF

83

A Framework for Patient-Centric Medical Image Management using Blockchain Technology

Author 1: Abdulaziz Aljaloud

In smart systems context, the storage and distribution of health-critical data – medical images, test reports, clinical information etc. that is processed and transmitted via web portal and pervasive devices which requires a secure and efficient management of patients’ medical records. The reliance on centralized data centers in the cloud… Read full abstract & cite →

Smart healthcare medical imaging blockchain ethereum distributed storage

Abstract doi.org/10.14569/IJACSA.2023.0140883 PDF

84

An Ensemble Learning Approach for Multi-Modal Medical Image Fusion using Deep Convolutional Neural Networks

Author 1: Andino Maseleno Author 2: D. Kavitha Author 3: Koudegai Ashok Author 4: Mohammed Saleh Al Ansari Author 5: Nimmati Satheesh Author 6: R. Vijaya Kumar Reddy

Medical image fusion plays a vital role in enhancing the quality and accuracy of diagnostic procedures by integrating complementary information from multiple imaging modalities. In this study, we propose an ensemble learning approach for multi-modal medical image fusion utilizing deep convolutional neural networks (DCNNs) to predict brain tumour. The proposed… Read full abstract & cite →

Deep convolutional neural networks image fusion generative adversarial network ensemble learning

Abstract doi.org/10.14569/IJACSA.2023.0140884 PDF

85

Segmentation of Breast Cancer on Ultrasound Images using Attention U-Net Model

Author 1: Sara LAGHMATI Author 2: Khadija HICHAM Author 3: Bouchaib CHERRADI Author 4: Soufiane HAMIDA Author 5: Amal TMIRI

Breast cancer (BC) is one of the most prevailing and life-threatening types of cancer impacting women worldwide. Early detection and accurate diagnosis are crucial for effective treatment and improved patient outcomes. Deep learning techniques have shown remarkable promise in medical image analysis tasks, particularly segmentation. This research leverages the Breast… Read full abstract & cite →

Breast cancer deep learning segmentation attention U-Net

Abstract doi.org/10.14569/IJACSA.2023.0140885 PDF

86

New Real Dataset Creation to Develop an Intelligent System for Predicting Chemotherapy Protocols

Author 1: Houda AIT BRAHIM Author 2: Mariam BENLLARCH Author 3: Nada BENHIMA Author 4: Salah EL-HADAJ Author 5: Abdelmoutalib METRANE Author 6: Ghizlane BELBARAKA

Breast cancer is the most common cancer diagnosed in women. In developing countries, controlling this scourge is often problematic due to late diagnosis and the lack of medical and human resources. Automation and optimization of treatment is then needed to improve patient outcome. The use of medical datasets could, according… Read full abstract & cite →

Dataset breast cancer cancer stage chemotherapeutic regimen machine learning prediction

Abstract doi.org/10.14569/IJACSA.2023.0140886 PDF

87

Presenting a Novel Method for Identifying Communities in Social Networks Based on the Clustering Coefficient

Author 1: Zhihong HE Author 2: Tao LIU

In recent decades, social networks have been considered as one of the most important topics in computer science and social science. Identifying different communities and groups in these networks is very important because this information can be useful in analyzing and predicting various behaviors and phenomena, including the spread of… Read full abstract & cite →

Social network detection of communities butterfly fire algorithm clustering coefficient

Abstract doi.org/10.14569/IJACSA.2023.0140887 PDF

88

Motor Imagery EEG Signals Marginal Time Coherence Analysis for Brain-Computer Interface

Author 1: Md. Sujan Ali Author 2: Jannatul Ferdous

The synchronization of neural activity in the human brain has great significance for coordinating its various cognitive functions. It changes throughout time and in response to frequency. The activity is measured in terms of brain signals, like an electroencephalogram (EEG). The time-frequency (TF) synchronization among several EEG channels is measured… Read full abstract & cite →

Brain-Computer Interface (BCI) Electroencephalogram (EEG) Short-time Fourier Transform (STFT) Synchrosqueezing Transform (SST) time-frequency coherence

Abstract doi.org/10.14569/IJACSA.2023.0140888 PDF

89

Systematic Review for Phonocardiography Classification Based on Machine Learning

Author 1: Abdullah Altaf Author 2: Hairulnizam Mahdin Author 3: Awais Mahmood Author 4: Mohd Izuan Hafez Ninggal Author 5: Abdulrehman Altaf Author 6: Irfan Javid

Phonocardiography, the recording and analysis of heart sounds, has become an essential tool in diagnosing cardiovascular diseases (CVDs). In recent years, machine learning and deep learning techniques have dramatically improved the automation of phonocardiogram classification, making it possible to delve deeper into intricate patterns that were previously difficult to discern… Read full abstract & cite →

Heart sounds classification Phonocardiogram (PCG) CVDs deep learning

Abstract doi.org/10.14569/IJACSA.2023.0140889 PDF

90

A Hybrid Classification Approach of Network Attacks using Supervised and Unsupervised Learning

Author 1: Rahaf Hamoud R. Al-Ruwaili Author 2: Osama M. Ouda

The increasing scale and sophistication of network attacks have become a major concern for organizations around the world. As a result, there is an increasing demand for effective and accurate classification of network attacks to enhance cyber security measures. Most existing schemes assume that the available training data is labeled… Read full abstract & cite →

Network attacks supervised learning unsupervised learning machine learning

Abstract doi.org/10.14569/IJACSA.2023.0140890 PDF

91

Violent Physical Behavior Detection using 3D Spatio-Temporal Convolutional Neural Networks

Author 1: Xiuhong Xu Author 2: Zhongming Liao Author 3: Zhaosheng Xu

The use of surveillance cameras has made it possible to analyze a huge amount of data for automated surveillance. The use of security systems in schools, hotels, hospitals, and other security areas is required to identify the violent activities that can cause social, economic, and environmental damage. Detecting the mobile… Read full abstract & cite →

Violence detection surveillance cameras 3D Convolutional Neural Network (3D CNN) Spatio-temporal convolution deep learning abnormal behavior

Abstract doi.org/10.14569/IJACSA.2023.0140891 PDF

92

Construction of VR Video Quality Evaluation Model Based on 3D-CNN

Author 1: Hongxia Zhao Author 2: Li Huang

Currently, virtual reality (VR) panoramic video content occupies a very important position in the content of virtual reality platforms. The level of video quality directly affects the experience of platform users, and there is increasing research on methods for evaluating VR video quality. Therefore, this study establishes a subjective evaluation… Read full abstract & cite →

Virtual reality video 3D convolutional neural network residual network quality evaluation

Abstract doi.org/10.14569/IJACSA.2023.0140892 PDF

93

Design Strategy and Application of Headwear with National Characteristics Based on Information Visualization Technology

Author 1: Ting Zhang

With the rapid development of big data technology, information technology and visualization technology, traditional national headdress design has gradually been combined with it. The strategies and applications related to national headdress design also fully reflect the beauty of modern science and technology, which is a model of the combination of… Read full abstract & cite →

Information visualization headwear national characteristics digital material library yao nationality characteristic headdress design

Abstract doi.org/10.14569/IJACSA.2023.0140893 PDF

94

SLAM Mapping Method of Laser Radar for Tobacco Production Line Inspection Robot Based on Improved RBPF

Author 1: Zhiyuan Liang Author 2: Pengtao He Author 3: Wenbin Liang Author 4: Xiaolei Zhao Author 5: Bin Wei

The study focuses on the laser radar SLAM mapping method employed by the tobacco production line inspection robot, utilizing an enhanced RBPF approach. It involves the construction of a well-structured two-dimensional map of the inspection environment for the tobacco production line inspection robot. This construction aims to ensure the seamless… Read full abstract & cite →

Improved RBPF tobacco production line patrol robot LiDAR slam mapping drosophila optimization strategy

Abstract doi.org/10.14569/IJACSA.2023.0140894 PDF

95

Visual Image Feature Recognition Method for Mobile Robots Based on Machine Vision

Author 1: Minghe Hu Author 2: Jiancang He

With the continuous advancement of machine vision and computer technology, mobile robots with visual systems have received widespread attention in fields such as industry, agriculture, and services. However, the current methods for processing visual images of mobile robots are difficult to meet the requirements of practical applications. There are issues… Read full abstract & cite →

Machine vision mobile robots image recognition convolutional neural network K-means algorithm

Abstract doi.org/10.14569/IJACSA.2023.0140895 PDF

96

Explore Chinese Energy Commodity Prices in Financial Markets using Machine Learning

Author 1: Yu Cui Author 2: Tianhao Ma

This study simultaneously investigates the causality and dynamic links between international energy trade and economic price changes, especially in the Chinese commodity market. To get a causal route, it attempts to identify the linear and nonlinear causality among commodity prices, equities, and the exchange rate in China and the United… Read full abstract & cite →

Chinese commodity price exchange rate stock markets machine learning international energy trade global economic system

Abstract doi.org/10.14569/IJACSA.2023.0140896 PDF

97

Research on the Application of Multi-Objective Algorithm Based on Tag Eigenvalues in e-Commerce Supply Chain Forecasting

Author 1: Man Huang Author 2: Jie Lian

With the continuous development of Internet technology, the scale of Internet data is increasing day by day, and business forecasting has become more and more important in corporate business decision-making. Therefore, to improve the accuracy of Multi Target Regression in the actual e-commerce supply chain forecasting, research through the method… Read full abstract & cite →

Label features multi-objective algorithm sparse set e-commerce supply chain multi target regression

Abstract doi.org/10.14569/IJACSA.2023.0140897 PDF

98

Construction and Application of Automatic Scoring Index System for College English Multimedia Teaching Based on Neural Network

Author 1: Hui Dong Author 2: Ping Wei

With the continuous development of interactive multimedia, multimedia is increasingly integrated into college English teaching, providing advanced teaching equipment and resources. While enriching the teaching environment, it also brings new challenges to teaching ideas and strategies. Although the proportion of independent and selective learning of college students has increased, classroom… Read full abstract & cite →

Cognition of multimedia teaching in universities scoring index neural network teaching system

Abstract doi.org/10.14569/IJACSA.2023.0140898 PDF

99

Design of a Decentralized AI IoT System Based on Back Propagation Neural Network Model

Author 1: Xiaomei Zhang

In the Internet of Things (IoT) era, when user needs are continually evolving, the coupling of AI and IoT technologies is unavoidable. Fog devices are introduced into the IoT system and given the function of hidden layer neurons of Back Propagation neural network, and Docker containers are combined to realize… Read full abstract & cite →

BP neural networks artificial intelligence IoT systems fog devices Docker containers

Abstract doi.org/10.14569/IJACSA.2023.0140899 PDF

100

Black Widow Optimization Algorithm for Virtual Machines Migration in the Cloud Environments

Author 1: Chuang Zhou

Cloud data centers use virtualization technology to manage computing resources. Using a group of connected Virtual Machines (VMs), corresponding users can compute data efficiently and effectively. It improves the utilization of resources, thereby reducing hardware requirements. Repossession of affected services requires VM-based infrastructure overhaul schemes. Clarifications concerning dedicated routing are… Read full abstract & cite →

Cloud computing migration energy consumption optimization black widow algorithm

Abstract doi.org/10.14569/IJACSA.2023.01408100 PDF

101

Towards Secure Blockchain-enabled Cloud Computing: A Taxonomy of Security Issues and Recent Advances

Author 1: Shengli LIU

Blockchain technology offers a promising solution for addressing performance and security challenges within distributed systems. This paper presents a comprehensive taxonomy of security issues in cloud computing and explores recent advances in utilizing blockchain to enhance security and efficiency in this domain. We employ a systematic literature review approach to… Read full abstract & cite →

Cloud computing security blockchain review

Abstract doi.org/10.14569/IJACSA.2023.01408101 PDF

102

Research on Enterprise Supply Chain Anti-Disturbance Management Based on Improved Particle Swarm Optimization Algorithm

Author 1: Tongqing Dai

A supply chain that is effective and of the highest caliber boosts customer happiness as well as sales and earnings, increasing the company's competitiveness in the market. It has been discovered that the standard supply chain management technique leaves the supply chain with weak supply chain stability because it has… Read full abstract & cite →

Supply chain particle swarm optimization algorithm genetic algorithm inverse production behaviour neighbourhood structure

Abstract doi.org/10.14569/IJACSA.2023.01408102 PDF

103

Automated Analysis of Job Market Demands using Large Language Model

Author 1: Myo Thida

This paper presents a comprehensive analysis of labor market demands for Myanmar workers in Japan, and Thailand, focusing on opportunities for individuals without higher education degrees. Leveraging ChatGPT’s text classification and summarization capabilities, we extracted vital insights from extensive job advertisements and social media groups. The dataset comprises 152 job… Read full abstract & cite →

ChatGPT labour market analysis skills identification online job adverts skills demand

Abstract doi.org/10.14569/IJACSA.2023.01408103 PDF

104

Decentralized Management of Medical Test Results Utilizing Blockchain, Smart Contracts, and NFTs

Author 1: Quy T. L Author 2: Khanh H. V Author 3: Huong H. L Author 4: Khiem H. G Author 5: Phuc T. N Author 6: Ngan N. T. K Author 7: Triet M. N Author 8: Bang L. K Author 9: Trong D. P. N. Author 10: Hieu M. D. Author 11: Bao Q. T. Author 12: Khoa D. T.

In today’s medical landscape, the effective management and availability of diagnostic data, including current and historical medical tests, play a critical role in inform-ing physicians’ therapeutic decisions. However, the conventional centralized storage system presents a significant impediment, particularly when patients switch healthcare providers. Given the sensitive nature of medical data… Read full abstract & cite →

Medical test result blockchain smart contract NFT Ethereum Fantom Polygon Binance Smart Chain

Abstract doi.org/10.14569/IJACSA.2023.01408104 PDF

105

Leveraging Blockchain, Smart Contracts, and NFTs for Streamlining Medical Waste Management: An Examination of the Vietnamese Healthcare Sector

Author 1: Triet M. N Author 2: Khanh H. V Author 3: Huong H. L Author 4: Khiem H. G Author 5: Phuc T. N. Author 6: Ngan N. T. K. Author 7: Quy T. L. Author 8: Bang L. K. Author 9: Trong D. P. N. Author 10: Hieu M. D. Author 11: Bao Q. T. Author 12: Khoa D. T. Author 13: Anh T. N.

Medical waste is deemed hazardous due to its potential health implications and the predominant practice of discarding it post six months of utilization. Furthermore, the reusable proportion of such waste is minimal. The implications of this scenario were brought to the fore during the COVID- 19 pandemic when sub-optimal medical… Read full abstract & cite →

Medical waste management blockchain smart contracts NFTs ethereum fantom polygon binance smart chain

Abstract doi.org/10.14569/IJACSA.2023.01408105 PDF

106

A Novel Dual Confusion and Diffusion Approach for Grey Image Encryption using Multiple Chaotic Maps

Author 1: S Phani Praveen Author 2: V Sathiya Suntharam Author 3: S Ravi Author 4: U. Harita Author 5: Venkata Nagaraju Thatha Author 6: D Swapna

With the exponential growth of the internet and social media, images have become a predominant form of information transmission, including confidential data. Ensuring the proper security of these images has become crucial in today’s digital age. This research study proposes a unique strategy for solving this demand by presenting a… Read full abstract & cite →

Image encryption dual confusion and diffusion chaotic maps grey images robust encryption key generation image analysis performance evaluation histogram analysis grey images key generation performance evaluation histogram analysis

Abstract doi.org/10.14569/IJACSA.2023.01408106 PDF

107

Implementing a Blockchain, Smart Contract, and NFT Framework for Waste Management Systems in Emerging Economies: An Investigation in Vietnam

Author 1: Khiem H. G Author 2: Khanh H. V Author 3: Huong H. L Author 4: Quy T. L Author 5: Phuc T. N. Author 6: Ngan N. T. K. Author 7: Triet M. N. Author 8: Bang L. K. Author 9: Trong D. P. N. Author 10: Hieu M. D. Author 11: Bao Q. T. Author 12: Khoa D. T.

The management and disposal of various types of waste (including industrial, domestic, and medical waste) are worldwide issues, which are particularly critical in developing nations such as Vietnam. Given the extensive population and inadequate waste treatment facilities, addressing this challenge is of utmost importance. Predominantly, the majority of such waste… Read full abstract & cite →

Vietnam waste management blockchain smart contracts NFT Ethereum Fantom Polygon Binance Smart Chain

Abstract doi.org/10.14569/IJACSA.2023.01408107 PDF

108

Deep Learning-based Sentence Embeddings using BERT for Textual Entailment

Author 1: Mohammed Alsuhaibani

This study directly and thoroughly investigates the practicalities of utilizing sentence embeddings, derived from the foundations of deep learning, for textual entailment recognition, with a specific emphasis on the robust BERT model. As a cornerstone of our research, we incorporated the Stanford Natural Language Inference (SNLI) dataset. Our study emphasizes… Read full abstract & cite →

Textual entailment deep learning entailment detection BERT text processing natural language processing systems

Abstract doi.org/10.14569/IJACSA.2023.01408108 PDF

109

An Approach of Test Case Generation with Software Requirement Ontology

Author 1: Adisak Intana Author 2: Kuljaree Tantayakul Author 3: Kanjana Laosen Author 4: Suraiya Charoenreh

Software testing plays an essential role in software development process since it helps to ensure that the developed software product is free from errors and meets the defined specifications before the delivery. As the software specification is mostly written in the form of natural language, this may lead to the… Read full abstract & cite →

Software testing software requirement specification ontology test case equivalence and classification tree method

Abstract doi.org/10.14569/IJACSA.2023.01408109 PDF

110

Eligible Personal Loan Applicant Selection using Federated Machine Learning Algorithm

Author 1: Mehrin Anannya Author 2: Most. Shahera Khatun Author 3: Md. Biplob Hosen Author 4: Sabbir Ahmed Author 5: Md. Farhad Hossain Author 6: M. Shamim Kaiser

Loan sanctioning develops a paramount financial dependency amongst banks and customers. Banks assess bundles of documents from individuals or business entities seeking loans depending on different loan types since only reliable candidates are chosen for the loan. This reliability materializes after assessing the previous transaction history, financial stability, and other… Read full abstract & cite →

Loan eligibility prediction machine learning random forest K-Nearest Neighbour Adaboost extreme gradient boost artificial neural network federated learning

Abstract doi.org/10.14569/IJACSA.2023.01408110 PDF

111

A Low-Cost Wireless Sensor System for Power Quality Management in Single-Phase Domestic Networks

Author 1: Cristian A. Aldana B Author 2: Edison F. Montenegro A

This article presents a novel low-cost hardware and software tool for monitoring power quality in single-phase domestic networks using an ESP32 microcontroller. The proposed embedded system allows remote evaluation and monitoring of electrical energy consumption behavior through non-invasive current measurement parameters. Based on these measurements, power, power factor, total harmonic… Read full abstract & cite →

Cost-effective current measurement energy consumption ESP32 microcontroller non-invasive power quality remote monitoring

Abstract doi.org/10.14569/IJACSA.2023.01408111 PDF

112

A Novel Convolutional Neural Network Architecture for Pollen-Bearing Honeybee Recognition

Author 1: Thi-Nhung Le Author 2: Thi-Minh-Thuy Le Author 3: Thi-Thu-Hong Phan Author 4: Huu-Du Nguyen Author 5: Thi-Lan Le

Monitoring the pollen foraging behavior of honey-bees is an important task that is beneficial to beekeepers, allowing them to understand the health status of their honeybee colonies. To perform this task, monitoring systems should have the ability to automatically recognize images of pollen-bearing honeybees extracted from videos recorded at the… Read full abstract & cite →

Pollen-bearing honeybee image classification convolutional neural network honeybee monitoring system Pollen dataset

Abstract doi.org/10.14569/IJACSA.2023.01408112 PDF

113

Tomato Disease Recognition: Advancing Accuracy Through Xception and Bilinear Pooling Fusion

Author 1: Hoang-Tu Vo Author 2: Nhon Nguyen Thien Author 3: Kheo Chau Mui

Accurate detection and classification of tomato diseases are essential for effective disease management and maintaining agricultural productivity. This paper presents a novel approach to tomato disease recognition that combines Xception, a pre-trained convolutional neural network (CNN), with bilinear pooling to advance accuracy. The proposed model consists of two parallel Xception-based… Read full abstract & cite →

Tomato disease recognition Xception Bilinear pooling convolutional neural networks disease management

Abstract doi.org/10.14569/IJACSA.2023.01408113 PDF

114

Predicting Quality Medical Drug Data Towards Meaningful Data using Machine Learning

Author 1: Suleyman Al-Showarah Author 2: Abubaker Al-Taie Author 3: Hamzeh Eyal Salman Author 4: Wael Alzyadat Author 5: Mohannad Alkhalaileh

This research aims to improve the process of finding alternative drugs by utilizing artificial intelligence algorithms. It is not an easy task for human beings to classify the drugs manually, as this requires much longer time and more effort than doing it using classifiers. The study focuses on predicting high-quality… Read full abstract & cite →

Classification alternative drugs medical decision tree support vector machine naive bayes random forest

Abstract doi.org/10.14569/IJACSA.2023.01408114 PDF

115

Incorporating Learned Depth Perception Into Monocular Visual Odometry to Improve Scale Recovery

Author 1: Hamza Mailka Author 2: Mohamed Abouzahir Author 3: Mustapha Ramzi

A growing interest in autonomous driving has led to a comprehensive study of visual odometry (VO). It has been well studied how VO can estimate the pose of moving objects by examining the images taken from onboard cameras. In the last decade, it has been proposed that deep learning under… Read full abstract & cite →

Visual odometry scale recovery depth estimation DPT model

Abstract doi.org/10.14569/IJACSA.2023.01408115 PDF

116

Enhancing Precision in Lung Cancer Diagnosis Through Machine Learning Algorithms

Author 1: Nasareenbanu Devihosur Author 2: Ravi Kumar M G

Lung cancer continues to pose a significant threat worldwide, leading to high cancer-related mortality rates and underscoring the urgent need for improved early diagnosis approaches. Despite the valuable technology currently employed for lung cancer diagnosis, some limitations hinder timely and accurate diagnoses, resulting in delayed treatment and unfavorable outcomes. In… Read full abstract & cite →

Lung cancer diagnosis machine learning precision medicine

Abstract doi.org/10.14569/IJACSA.2023.01408116 PDF

117

Generating Nature-Resembling Tertiary Protein Structures with Advanced Generative Adversarial Networks (GANs)

Author 1: Mena Nagy A. Khalaf Author 2: Taysir Hassan A Soliman Author 3: Sara Salah Mohamed

In the field of molecular chemistry, the functions, interactions, and bonds between proteins depend on their tertiary structures. Proteins naturally exhibit dynamism under different physiological conditions, as they alter their tertiary structures to accommodate interactions with other molecular partners. Significant advancements in Generative Adversarial Networks (GANs) have been leveraged to… Read full abstract & cite →

Molecular structure protein structure protein modeling tertiary structure generative adversarial learning deep learning proteomic

Abstract doi.org/10.14569/IJACSA.2023.01408117 PDF

118

Prediction of Heart Disease using an Ensemble Learning Approach

Author 1: Ghalia A. Alshehri Author 2: Hajar M. Alharbi

The ability to predict diseases early is essential for improving healthcare quality and can assist patients in avoiding potentially dangerous health conditions before it is too late. Various machine learning techniques are used in the medical field. Nonetheless, machine learning is critical in determining the future of pharmaceuticals and patients’… Read full abstract & cite →

Machine learning ensemble learning classification disease prediction heart disease

Abstract doi.org/10.14569/IJACSA.2023.01408118 PDF

119

A Framework for Agriculture Plant Disease Prediction using Deep Learning Classifier

Author 1: Mohammelad Baljon

The agricultural industry in Saudi Arabia suffers from the effects of vegetable diseases in the Central Province. The primary causes of death documented in this analysis were 32 fungal diseases, two viral diseases, two physiological diseases, and one parasitic disease. Because early diagnosis of plant diseases may boost the productivity… Read full abstract & cite →

Suggested agricultural plant disease prediction system tuned ML models machine learning classifiers plant disease detection deep learning architectures

Abstract doi.org/10.14569/IJACSA.2023.01408119 PDF

120

Lung Cancer Classification using Reinforcement Learning-based Ensemble Learning

Author 1: Shengping Luo

Lung cancer is a significant health issue affecting millions of people worldwide annually. However, current manual detection methods used by physicians and radiologists to identify lung nodules are inefficient because of the diverse shapes and locations of the nodules in the lungs. New methods are needed to improve the accuracy… Read full abstract & cite →

Lung cancer ensemble learning reinforcement learning artificial bee colony convolutional neural network

Abstract doi.org/10.14569/IJACSA.2023.01408120 PDF

121

Secure Data Sharing in Smart Homes: An Efficient Approach Based on Local Differential Privacy and Randomized Responses

Author 1: Amr T. A. Elsayed Author 2: Almohammady S. Alsharkawy Author 3: Mohamed S. Farag Author 4: S. E. Abo-Youssef

Smart homes are smart spaces that contain devices that are connected to each other, collecting information and facilitating users’ comfortable living, safety, and energy management features. To improve the quality of individuals’ life, smart device companies and service providers are collecting data about user activities, user needs, power consumption, etc… Read full abstract & cite →

Smart homes security privacy-preserving differential privacy RAPPOR randomized responses

Abstract doi.org/10.14569/IJACSA.2023.01408121 PDF

122

The Implementation of Image Conceptualization Split-Screen Stitching and Positioning Technology in Film and Television Production

Author 1: Zhouzhou Deng Author 2: Rongshen Zhu

In order to study the technology of image conception, splitting, stitching and positioning in film and television production, this paper first discusses the relevant research literature, then designs an improved biomedical image segmentation convolution network model applied in film and television production, and then verifies the effectiveness of the proposed… Read full abstract & cite →

Convolutional neural network attention mechanism null space convolutional pooling pyramid spatial rich model dense block

Abstract doi.org/10.14569/IJACSA.2023.01408122 PDF

123

Rural Landscape Design Data Analysis Based on Multi-Media, Multi-Dimensional Information Based on a Decision Tree Learning Algorithm

Author 1: Ning Leng Author 2: Hongxin Wang

This paper analyzes and studies the design characteristics of multi-dimensional information rural scenes. For data mining and the Decision Tree (DT) calculation method, the pre-processing system and method of multi-dimensional information rural award design are put forward again. Through the analysis of the multi-dimensional value of multi-dimensional multimedia mountain villages… Read full abstract & cite →

Multi-media multi-dimensional information rural landscape data mining decision tree data preprocessing

Abstract doi.org/10.14569/IJACSA.2023.01408123 PDF

124

Intelligent Detection System for Electrical Equipment based on Deep Learning and Infrared Image Processing Technology

Author 1: Mingxu Lu Author 2: Yuan Xie

The demand for the reliability of power grid systems is gradually increasing with the development of the power industry. And it is necessary to promptly identify and eliminate the hidden dangers. To meet the needs of online monitoring and the early warning of electrical equipment, an intelligent detection system based… Read full abstract & cite →

Deep learning infrared images electrical equipment intelligent detection adaptive median filtering

Abstract doi.org/10.14569/IJACSA.2023.01408124 PDF