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IAENG International Journal of Computer Science
Objectives and Scope IAENG International Journal of Computer Science is published with both online and print versions. The journal covers the frontier issues in the computer science and their applications in business, industry and other subjects. The computer science is a branch of engineering science that studies computable processes and structures. It contains theories for understanding computing systems and methods; computational algorithms and tools; methodologies for testing of concepts. The subjects covered by the journal include artificial intelligence, bioinformatics, computational statistics, database, data mining, financial engineering, hardware systems, imaging engineering, internet computing, networking, scientific computing, software engineering, and their applications etc. Printed copies of the journal are distributed to accredited universities and government libraries. All the papers in the journal are also available freely with online full-text content and permanent worldwide web link. The abstracts will be indexed and available at major academic databases. ISSN: 1819-9224 (online version); 1819-656X (print version) Subject Category: Computer science Published by: International Association of Engineers
Contents: Volume 51 Issue 8 (Online version available: 1 August 2024)
JOURNAL PAPERS: Research on Social Recommendation Algorithm Based on PSO_KFCM Clustering and CBAM Attention Mechanism of Graph Neural Networks Yue Teng, and Kai Yang IAENG International Journal of Computer Science, 51:8, pp936-948 [Online Full Text] Yue Teng, and Kai Yang, "Research on Social Recommendation Algorithm Based on PSO_KFCM Clustering and CBAM Attention Mechanism of Graph Neural Networks," IAENG International Journal of Computer Science, vol. 51, no. 8, pp936-948, 2024
Maximizing Deviations Method in Intuitionistic Fuzzy Setting Jinyuan Liu IAENG International Journal of Computer Science, 51:8, pp949-960 [Online Full Text] Jinyuan Liu, "Maximizing Deviations Method in Intuitionistic Fuzzy Setting," IAENG International Journal of Computer Science, vol. 51, no. 8, pp949-960, 2024
Inter-class Correlation-based EEG Channel Selection for ADHD Classification Vandana Joshi, and Nirali Nanavati IAENG International Journal of Computer Science, 51:8, pp961-975 [Online Full Text] Vandana Joshi, and Nirali Nanavati, "Inter-class Correlation-based EEG Channel Selection for ADHD Classification," IAENG International Journal of Computer Science, vol. 51, no. 8, pp961-975, 2024
Black-Litterman Portfolio Optimization with Asset Universe Given by Large Language Models Xiangxi Kong, Liangyu Min, Dijia Lin, and Zhen Li IAENG International Journal of Computer Science, 51:8, pp976-984 [Online Full Text] Xiangxi Kong, Liangyu Min, Dijia Lin, and Zhen Li, "Black-Litterman Portfolio Optimization with Asset Universe Given by Large Language Models," IAENG International Journal of Computer Science, vol. 51, no. 8, pp976-984, 2024
Manifold Embedded Domain Adaptation for Motor Imagery EEG Decoding Qin Jiang, Yi Zhang, Wei Wang, and Qian Huang IAENG International Journal of Computer Science, 51:8, pp985-997 [Online Full Text] Qin Jiang, Yi Zhang, Wei Wang, and Qian Huang, "Manifold Embedded Domain Adaptation for Motor Imagery EEG Decoding," IAENG International Journal of Computer Science, vol. 51, no. 8, pp985-997, 2024
Network Intrusion Detection using Combined Deep Learning Models: Literature Survey and Future Research Directions Hamza KAMAL IDRISSI, and Ali KARTIT IAENG International Journal of Computer Science, 51:8, pp998-1010 [Online Full Text] Hamza KAMAL IDRISSI, and Ali KARTIT, "Network Intrusion Detection using Combined Deep Learning Models: Literature Survey and Future Research Directions," IAENG International Journal of Computer Science, vol. 51, no. 8, pp998-1010, 2024
Collaborative Graph Filtering Recommendation Algorithm Based on Public Interaction Ratio and Structural Neighborhood Contrastive Learning Jianqiao Liu, Qigang Liu, and Gang Sun IAENG International Journal of Computer Science, 51:8, pp1011-1019 [Online Full Text] Jianqiao Liu, Qigang Liu, and Gang Sun, "Collaborative Graph Filtering Recommendation Algorithm Based on Public Interaction Ratio and Structural Neighborhood Contrastive Learning," IAENG International Journal of Computer Science, vol. 51, no. 8, pp1011-1019, 2024
Detection of Small Underwater Organisms Based on Improved YOLOv8 Liheng Miao, and Ying Tian IAENG International Journal of Computer Science, 51:8, pp1020-1026 [Online Full Text] Liheng Miao, and Ying Tian, "Detection of Small Underwater Organisms Based on Improved YOLOv8," IAENG International Journal of Computer Science, vol. 51, no. 8, pp1020-1026, 2024
Enhancing Security Through Real-Time Classification of Normal and Abnormal Human Activities: A YOLOv7-SVM Hybrid Approach Ashwin Shenoy M, Thillaiarasu N, and Ashwin Shenoy IAENG International Journal of Computer Science, 51:8, pp1027-1034 [Online Full Text] Ashwin Shenoy M, Thillaiarasu N, and Ashwin Shenoy, "Enhancing Security Through Real-Time Classification of Normal and Abnormal Human Activities: A YOLOv7-SVM Hybrid Approach," IAENG International Journal of Computer Science, vol. 51, no. 8, pp1027-1034, 2024
A DAU-Net-ConvLSTM Model for Daytime Sea Fog Segmentation Xiaokang Hu, Taorong Qiu, Yiqi Liao, Jing Wang, and Liangwei Lin IAENG International Journal of Computer Science, 51:8, pp1035-1041 [Online Full Text] Xiaokang Hu, Taorong Qiu, Yiqi Liao, Jing Wang, and Liangwei Lin, "A DAU-Net-ConvLSTM Model for Daytime Sea Fog Segmentation," IAENG International Journal of Computer Science, vol. 51, no. 8, pp1035-1041, 2024
Improved Artificial Bee Colony Algorithm with Observed Subgroups for Optimization Problems Pengpeng Shang, Chunfeng Wang, and Lixia Liu IAENG International Journal of Computer Science, 51:8, pp1042-1050 [Online Full Text] Pengpeng Shang, Chunfeng Wang, and Lixia Liu, "Improved Artificial Bee Colony Algorithm with Observed Subgroups for Optimization Problems," IAENG International Journal of Computer Science, vol. 51, no. 8, pp1042-1050, 2024
A Deep Learning Approach for Detecting Malware Using Autoencoder Venu Madhav Panchagnula, Ch. Satya Keerthi N.V.L, S. Surekha, R. Sujatha, Duggineni Veeraiah, Eluri Ramesh, and Lakshmi B. IAENG International Journal of Computer Science, 51:8, pp1051-1059 [Online Full Text] Venu Madhav Panchagnula, Ch. Satya Keerthi N.V.L, S. Surekha, R. Sujatha, Duggineni Veeraiah, Eluri Ramesh, and Lakshmi B., "A Deep Learning Approach for Detecting Malware Using Autoencoder," IAENG International Journal of Computer Science, vol. 51, no. 8, pp1051-1059, 2024
Global Context-Enhanced Network for Pixel-Level Change Detection in Remote Sensing Images Zixue Zhao, Zhengpeng Li, Jiawei Miao, Kunyang Wu, and Jiansheng Wu IAENG International Journal of Computer Science, 51:8, pp1060-1070 [Online Full Text] Zixue Zhao, Zhengpeng Li, Jiawei Miao, Kunyang Wu, and Jiansheng Wu, "Global Context-Enhanced Network for Pixel-Level Change Detection in Remote Sensing Images," IAENG International Journal of Computer Science, vol. 51, no. 8, pp1060-1070, 2024
The Law of Importation for Quantum Implications Lei Du, Yingying Xu, Haifeng Song, and Songsong Dai IAENG International Journal of Computer Science, 51:8, pp1071-1078 [Online Full Text] Lei Du, Yingying Xu, Haifeng Song, and Songsong Dai, "The Law of Importation for Quantum Implications," IAENG International Journal of Computer Science, vol. 51, no. 8, pp1071-1078, 2024
Lightweight Rice Planthopper Identification Method Based on YOLOv5 Siquan Li, Yi Wang, Teng Shi, Xi Chen, Zhen Tang, Ziyu Zeng, Xin Wen, and Yanling Shang IAENG International Journal of Computer Science, 51:8, pp1079-1085 [Online Full Text] Siquan Li, Yi Wang, Teng Shi, Xi Chen, Zhen Tang, Ziyu Zeng, Xin Wen, and Yanling Shang, "Lightweight Rice Planthopper Identification Method Based on YOLOv5," IAENG International Journal of Computer Science, vol. 51, no. 8, pp1079-1085, 2024
Fuzzy Portfolio with Multi-objective Approach Using the Treynor Ratio Padrul Jana, Dedi Rosadi, and Epha Diana Supandi IAENG International Journal of Computer Science, 51:8, pp1086-1093 [Online Full Text] Padrul Jana, Dedi Rosadi, and Epha Diana Supandi, "Fuzzy Portfolio with Multi-objective Approach Using the Treynor Ratio," IAENG International Journal of Computer Science, vol. 51, no. 8, pp1086-1093, 2024
A Neural Network for EEG Emotion Recognition that Combines CNN and Transformer for Multi-scale Spatial-temporal Feature Extraction Zhangfang Hu, Haoze Wu, and Lingxiao He IAENG International Journal of Computer Science, 51:8, pp1094-1104 [Online Full Text] Zhangfang Hu, Haoze Wu, and Lingxiao He, "A Neural Network for EEG Emotion Recognition that Combines CNN and Transformer for Multi-scale Spatial-temporal Feature Extraction," IAENG International Journal of Computer Science, vol. 51, no. 8, pp1094-1104, 2024
One Improved Wasserstein GAN with Gradient Penalty for Grain Consumption Prediction Pei Li, and Chunhua Zhu IAENG International Journal of Computer Science, 51:8, pp1105-1111 [Online Full Text] Pei Li, and Chunhua Zhu, "One Improved Wasserstein GAN with Gradient Penalty for Grain Consumption Prediction," IAENG International Journal of Computer Science, vol. 51, no. 8, pp1105-1111, 2024
Enhancing Smart Grid Security with SHA-SARIMAX: Identifying and Restoring Corrupted Files from FDIA Anand Srivatsa, T Ananthapadmanabha, Likith Kumar M V, and Suma A P IAENG International Journal of Computer Science, 51:8, pp1112-1121 [Online Full Text] Anand Srivatsa, T Ananthapadmanabha, Likith Kumar M V, and Suma A P, "Enhancing Smart Grid Security with SHA-SARIMAX: Identifying and Restoring Corrupted Files from FDIA," IAENG International Journal of Computer Science, vol. 51, no. 8, pp1112-1121, 2024
The Best-Worst Method Based on Single-valued Neutrosophic Numbers and Its Application Dongsheng Xu, Xue Kang, Liang Zhou, and Xinghai Zhang IAENG International Journal of Computer Science, 51:8, pp1122-1127 [Online Full Text] Dongsheng Xu, Xue Kang, Liang Zhou, and Xinghai Zhang, "The Best-Worst Method Based on Single-valued Neutrosophic Numbers and Its Application," IAENG International Journal of Computer Science, vol. 51, no. 8, pp1122-1127, 2024
Analysis of Relative Weights for Attributes under Intuitionistic Fuzzy Setting Environments Yu-Lan Wang, Xiaofeng Chen, and Nai Chien Shih IAENG International Journal of Computer Science, 51:8, pp1128-1136 [Online Full Text] Yu-Lan Wang, Xiaofeng Chen, and Nai Chien Shih, "Analysis of Relative Weights for Attributes under Intuitionistic Fuzzy Setting Environments," IAENG International Journal of Computer Science, vol. 51, no. 8, pp1128-1136, 2024
Named Entity Recognition Model of Traditional Chinese Medicine Medical Texts based on Contextual Semantic Enhancement and Adversarial Training Yuekun Ma, Moyan Wen, and He Liu IAENG International Journal of Computer Science, 51:8, pp1137-1143 [Online Full Text] Yuekun Ma, Moyan Wen, and He Liu, "Named Entity Recognition Model of Traditional Chinese Medicine Medical Texts based on Contextual Semantic Enhancement and Adversarial Training," IAENG International Journal of Computer Science, vol. 51, no. 8, pp1137-1143, 2024
Augmented Reality in Retail: Metrics in the Furniture Department Leal-Enriquez E., and Gutierrez-Antunez A.R. IAENG International Journal of Computer Science, 51:8, pp1144-1154 [Online Full Text] Leal-Enriquez E., and Gutierrez-Antunez A.R., "Augmented Reality in Retail: Metrics in the Furniture Department," IAENG International Journal of Computer Science, vol. 51, no. 8, pp1144-1154, 2024
Application of Big Data Technology in Internet Financial Risk Control Jingjing Chen, Guixian Tian, and Jia Wang IAENG International Journal of Computer Science, 51:8, pp1155-1162 [Online Full Text] Jingjing Chen, Guixian Tian, and Jia Wang, "Application of Big Data Technology in Internet Financial Risk Control," IAENG International Journal of Computer Science, vol. 51, no. 8, pp1155-1162, 2024
Research on Short-Term Power Load Forecasting Model Based on NGO-CNN-BIGRU-AT Qingyun Yuan, Pan Yu, Liu Tan, Yonggang Wang, and Heming Zhang IAENG International Journal of Computer Science, 51:8, pp1163-1170 [Online Full Text] Qingyun Yuan, Pan Yu, Liu Tan, Yonggang Wang, and Heming Zhang, "Research on Short-Term Power Load Forecasting Model Based on NGO-CNN-BIGRU-AT," IAENG International Journal of Computer Science, vol. 51, no. 8, pp1163-1170, 2024
Attention-GRU Based Intelligent Prediction of NOx Emissions for the Thermal Power Plants Xin Gao, Chen Xue, Wenqiang Jiang, and Bao Liu IAENG International Journal of Computer Science, 51:8, pp1171-1181 [Online Full Text] Xin Gao, Chen Xue, Wenqiang Jiang, and Bao Liu, "Attention-GRU Based Intelligent Prediction of NOx Emissions for the Thermal Power Plants," IAENG International Journal of Computer Science, vol. 51, no. 8, pp1171-1181, 2024
Artificial Neural Networks and Wiener-Hopf Factorization Elena Alymova, and Oleg Kudryavtsev IAENG International Journal of Computer Science, 51:8, pp1182-1194 [Online Full Text] Elena Alymova, and Oleg Kudryavtsev, "Artificial Neural Networks and Wiener-Hopf Factorization," IAENG International Journal of Computer Science, vol. 51, no. 8, pp1182-1194, 2024
Particle Swarm Algorithm Setting using Deep Reinforcement Learning in the Artificial Neural Network Optimization Learning Process Abdelkader Fassi Fihri, Tarik Hajji, Ibtissam El Hassani, and Tawfik Masrour IAENG International Journal of Computer Science, 51:8, pp1195-1208 [Online Full Text] Abdelkader Fassi Fihri, Tarik Hajji, Ibtissam El Hassani, and Tawfik Masrour, "Particle Swarm Algorithm Setting using Deep Reinforcement Learning in the Artificial Neural Network Optimization Learning Process," IAENG International Journal of Computer Science, vol. 51, no. 8, pp1195-1208, 2024
IAENG International Journal of Computer Science welcomes author submission of papers concerning any branch of the computer science and their applications in business, industry and other subjects. The subjects covered by the journal include artificial intelligence, bioinformatics, computational statistics, database, data mining, financial engineering, hardware systems, imaging engineering, internet computing, networking, scientific computing, software engineering, and their applications etc. All submitted papers are to be peer-reviewed for ensuring their qualities.
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