研飞ivySCI (青藤学术）

International Journal of Advanced Computer Science and Applications

短名	IJACSA
Journal Impact	0.89
国际分区	COMPUTER SCIENCE, THEORY & METHODS(Q3)

ISSN	2156-5570, 2158-107X
h-index	47

IJACSA is a scholarly computer science journal representing the best in research. Its mission is to provide an outlet for quality research to be publicised and published to a global audience. The journal aims to publish papers selected through rigorous double-blind peer review to ensure originality, timeliness, relevance, and readability. In sync with the Journal's vision "to be a respected publication that publishes peer reviewed research articles, as well as review and survey papers contributed by International community of Authors", we have drawn reviewers and editors from Institutions and Universities across the globe. A double blind peer review process is conducted to ensure that we retain high standards. At IJACSA, we stand strong because we know that global challenges make way for new innovations, new ways and new talent. International Journal of Advanced Computer Science and Applications publishes carefully refereed research, review and survey papers which offer a significant contribution to the computer science literature, and which are of interest to a wide audience. Coverage extends to all main-stream branches of computer science and related applications

涉及主题	计算机科学人工智能数学操作系统工程类程序设计语言物理生物机器学习哲学经济心理学计算机网络政治学法学计算机安全统计万维网量子力学语言学地理计算机视觉电信
出版信息	出版商: Science and Information Organization，出版周期: ，期刊类型: journal
基本数据	创刊年份: 2017，原创研究文献占比: 96.12%，自引率:14.30%， Gold OA占比: 1.09%

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Graph Convolutional Network for Occupational Disease Prediction with Multiple Dimensional Data

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Fiber Tracking Method with Adaptive Selection of Peak Direction Based on CSD Model

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Improved ORB Algorithm Through Feature Point Optimization and Gaussian Pyramid

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Actor Critic-based Multi Objective Reinforcement Learning for Multi Access Edge Computing

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Correlation Analysis Between Student Psychological State and Grades Based on Data Mining Algorithms

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Guiding 3D Digital Content Generation with Pre-Trained Diffusion Models

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Large-Scale Image Indexing and Retrieval Methods: A PRISMA-Based Review

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Automating Tomato Ripeness Classification and Counting with YOLOv9

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Packet Loss Concealment Estimating Residual Errors of Forward-Backward Linear Prediction for Bone-Conducted Speech

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Hybrid Approach for Enhanced Depression Detection using Learning Techniques

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Event-based Smart Contracts for Automated Claims Processing and Payouts in Smart Insurance

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Enhancing IoT Network Security: ML and Blockchain for Intrusion Detection

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Multi-Discriminator Image Restoration Algorithm Based on Hybrid Dilated Convolution Networks

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Adaptive Target Region Attention Network-based Human Pose Estimation in Smart Classroom

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Towards a New Artificial Intelligence-based Framework for Teachers’ Online Continuous Professional Development Programs: Systematic Review

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Enhancing Threat Detection in Financial Cyber Security Through Auto Encoder-MLP Hybrid Models

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A Smart AI Framework for Backlog Refinement and UML Diagram Generation

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Investigating Cooling Load Estimation via Hybrid Models Based on the Radial Basis Function

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Improvement of Social Skills in Children with Autism Spectrum Disorder Through the use of a Video Game

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Enhancing the Diagnosis of Depression and Anxiety Through Explainable Machine Learning Methods

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Strengthening Sentence Similarity Identification Through OpenAI Embeddings and Deep Learning

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Impact of the IoT Integration and Sustainability on Competition Within an Oligopolistic 3PL Market

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Sustainable Artificial Intelligence: Assessing Performance in Detecting Fake Images

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Federated Machine Learning for Epileptic Seizure Detection using EEG

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Discovering the Global Landscape of Agri-Food and Blockchain: A Bibliometric Review

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Analyzing Privacy Implications and Security Vulnerabilities in Single Sign-On Systems: A Case Study on OpenID Connect

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Breast Cancer Classification through Transfer Learning with Vision Transformer, PCA, and Machine Learning Models

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Segmentation Analysis for Brain Stroke Diagnosis Based on Susceptibility-Weighted Imaging (SWI) using Machine Learning

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Prediction of Pigment Epithelial Detachment in Optical Coherence Tomography Images using Machine Learning

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A Comparative Analysis of Traditional and Machine Learning Methods in Forecasting the Stock Markets of China and the US

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Novel Approaches for Access Level Modelling of Employees in an Organization Through Machine Learning

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Predictor Model for Chronic Kidney Disease using Adaptive Gradient Clipping with Deep Neural Nets

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Automating Mushroom Culture Classification: A Machine Learning Approach

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Deep Learning-Powered Lung Cancer Diagnosis: Harnessing IoT Medical Data and CT Images

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Multimodal Feature Fusion Video Description Model Integrating Attention Mechanisms and Contrastive Learning

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Transmission Line Monitoring Technology Based on Compressed Sensing Wireless Sensor Network

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Advancing Prostate Cancer Diagnostics with Image Masking Techniques in Medical Image Analysis

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Day Trading Strategy Based on Transformer Model, Technical Indicators and Multiresolution Analysis

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Development of an Educational Robot for Exploring the Internet of Things

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Enhancing Particle Swarm Optimization Performance Through CUDA and Tree Reduction Algorithm

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Data Dynamic Prediction Algorithm in the Process of Entity Information Search for the Internet of Things

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Research on Diagnosis Method of Common Knee Diseases Based on Subjective Symptoms and Random Forest Algorithm

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GROCAFAST: Revolutionizing Grocery Shopping for Seamless Convenience and Enhanced User Experience

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Deep Learning Network Optimization for Analysis and Classification of High Band Images

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Analysis and Enhancement of Prediction of Cardiovascular Disease Diagnosis using Machine Learning Models SVM, SGD, and XGBoost

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Rigorous Experimental Analysis of Tabular Data Generated using TVAE and CTGAN

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A Comprehensive Analysis of Network Security Attack Classification using Machine Learning Algorithms

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Dynamic Task Offloading Optimization in Mobile Edge Computing Systems with Time-Varying Workloads Using Improved Particle Swarm Optimization

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Timber Defect Identification: Enhanced Classification with Residual Networks

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Predicting Optimal Learning Approaches for Nursing Students in Morocco

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International Journal of Advanced Computer Science and Applications

期刊引文格式

只有1位作者的期刊

有2位作者的期刊

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有5位以上作者的期刊

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网页引用格式

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最新文章

Graph Convolutional Network for Occupational Disease Prediction with Multiple Dimensional Data

Fiber Tracking Method with Adaptive Selection of Peak Direction Based on CSD Model

Improved ORB Algorithm Through Feature Point Optimization and Gaussian Pyramid

Actor Critic-based Multi Objective Reinforcement Learning for Multi Access Edge Computing

Correlation Analysis Between Student Psychological State and Grades Based on Data Mining Algorithms

Guiding 3D Digital Content Generation with Pre-Trained Diffusion Models

Large-Scale Image Indexing and Retrieval Methods: A PRISMA-Based Review

Automating Tomato Ripeness Classification and Counting with YOLOv9

Packet Loss Concealment Estimating Residual Errors of Forward-Backward Linear Prediction for Bone-Conducted Speech

Hybrid Approach for Enhanced Depression Detection using Learning Techniques

Event-based Smart Contracts for Automated Claims Processing and Payouts in Smart Insurance

Enhancing IoT Network Security: ML and Blockchain for Intrusion Detection

Multi-Discriminator Image Restoration Algorithm Based on Hybrid Dilated Convolution Networks

Adaptive Target Region Attention Network-based Human Pose Estimation in Smart Classroom

Towards a New Artificial Intelligence-based Framework for Teachers’ Online Continuous Professional Development Programs: Systematic Review

Enhancing Threat Detection in Financial Cyber Security Through Auto Encoder-MLP Hybrid Models

A Smart AI Framework for Backlog Refinement and UML Diagram Generation

Investigating Cooling Load Estimation via Hybrid Models Based on the Radial Basis Function

Improvement of Social Skills in Children with Autism Spectrum Disorder Through the use of a Video Game

Enhancing the Diagnosis of Depression and Anxiety Through Explainable Machine Learning Methods

Strengthening Sentence Similarity Identification Through OpenAI Embeddings and Deep Learning

Impact of the IoT Integration and Sustainability on Competition Within an Oligopolistic 3PL Market

Sustainable Artificial Intelligence: Assessing Performance in Detecting Fake Images

Federated Machine Learning for Epileptic Seizure Detection using EEG

Discovering the Global Landscape of Agri-Food and Blockchain: A Bibliometric Review

Analyzing Privacy Implications and Security Vulnerabilities in Single Sign-On Systems: A Case Study on OpenID Connect

Breast Cancer Classification through Transfer Learning with Vision Transformer, PCA, and Machine Learning Models

Segmentation Analysis for Brain Stroke Diagnosis Based on Susceptibility-Weighted Imaging (SWI) using Machine Learning

Prediction of Pigment Epithelial Detachment in Optical Coherence Tomography Images using Machine Learning

A Comparative Analysis of Traditional and Machine Learning Methods in Forecasting the Stock Markets of China and the US

Novel Approaches for Access Level Modelling of Employees in an Organization Through Machine Learning

Predictor Model for Chronic Kidney Disease using Adaptive Gradient Clipping with Deep Neural Nets

Automating Mushroom Culture Classification: A Machine Learning Approach

Deep Learning-Powered Lung Cancer Diagnosis: Harnessing IoT Medical Data and CT Images

Multimodal Feature Fusion Video Description Model Integrating Attention Mechanisms and Contrastive Learning

Transmission Line Monitoring Technology Based on Compressed Sensing Wireless Sensor Network

Advancing Prostate Cancer Diagnostics with Image Masking Techniques in Medical Image Analysis

Day Trading Strategy Based on Transformer Model, Technical Indicators and Multiresolution Analysis

Development of an Educational Robot for Exploring the Internet of Things

Enhancing Particle Swarm Optimization Performance Through CUDA and Tree Reduction Algorithm

Data Dynamic Prediction Algorithm in the Process of Entity Information Search for the Internet of Things

Research on Diagnosis Method of Common Knee Diseases Based on Subjective Symptoms and Random Forest Algorithm

GROCAFAST: Revolutionizing Grocery Shopping for Seamless Convenience and Enhanced User Experience

Deep Learning Network Optimization for Analysis and Classification of High Band Images

Analysis and Enhancement of Prediction of Cardiovascular Disease Diagnosis using Machine Learning Models SVM, SGD, and XGBoost

Rigorous Experimental Analysis of Tabular Data Generated using TVAE and CTGAN

A Comprehensive Analysis of Network Security Attack Classification using Machine Learning Algorithms

Dynamic Task Offloading Optimization in Mobile Edge Computing Systems with Time-Varying Workloads Using Improved Particle Swarm Optimization

Timber Defect Identification: Enhanced Classification with Residual Networks

Predicting Optimal Learning Approaches for Nursing Students in Morocco

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