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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 5 (Online version available: 1 May 2024)
JOURNAL PAPERS: PTDA: Improving Drug-Drug Interaction Extraction from Biomedical Literature Based on Prompt Tuning and Data Augmentation Kailiang Wang, Xufeng Fu, Yanping Liu, Weikun Chen, and Jun Chen IAENG International Journal of Computer Science, 51:5, pp463-476 [Online Full Text] Kailiang Wang, Xufeng Fu, Yanping Liu, Weikun Chen, and Jun Chen, "PTDA: Improving Drug-Drug Interaction Extraction from Biomedical Literature Based on Prompt Tuning and Data Augmentation," IAENG International Journal of Computer Science, vol. 51, no. 5, pp463-476, 2024
A SEInIeR Cyber Public Opinion Propagation Prediction Model with Extreme Emotion Mechanism Qiujuan Tong, Shengqi Yue, Jianke Zhang, Yihan Liu, and Zheyu Han IAENG International Journal of Computer Science, 51:5, pp477-488 [Online Full Text] Qiujuan Tong, Shengqi Yue, Jianke Zhang, Yihan Liu, and Zheyu Han, "A SEInIeR Cyber Public Opinion Propagation Prediction Model with Extreme Emotion Mechanism," IAENG International Journal of Computer Science, vol. 51, no. 5, pp477-488, 2024
On the Symmetry between State Estimation and Reference Tracking Zahrotul Amalia Solakha, and Salmah IAENG International Journal of Computer Science, 51:5, pp489-495 [Online Full Text] Zahrotul Amalia Solakha, and Salmah, "On the Symmetry between State Estimation and Reference Tracking," IAENG International Journal of Computer Science, vol. 51, no. 5, pp489-495, 2024
A Short-term Wind Speed Prediction Method Based on the DGA-BP Neural Network Lingzhi Wang, Cheng Li, and Chenyang Li IAENG International Journal of Computer Science, 51:5, pp496-505 [Online Full Text] Lingzhi Wang, Cheng Li, and Chenyang Li, "A Short-term Wind Speed Prediction Method Based on the DGA-BP Neural Network," IAENG International Journal of Computer Science, vol. 51, no. 5, pp496-505, 2024
A Note on Rough Fuzzy Ideal and Prime Ideal in Gamma Rings Durgadevi. P, and Ezhilmaran Devarasan IAENG International Journal of Computer Science, 51:5, pp506-510 [Online Full Text] Durgadevi. P, and Ezhilmaran Devarasan, "A Note on Rough Fuzzy Ideal and Prime Ideal in Gamma Rings," IAENG International Journal of Computer Science, vol. 51, no. 5, pp506-510, 2024
A Greedy Randomized Block Coordinate Descent Algorithm with k-means Clustering for Solving Large Linear Least-squares Problems Ke Zhang, Chun-Ting Liu, and Xiang-Long Jiang IAENG International Journal of Computer Science, 51:5, pp511-518 [Online Full Text] Ke Zhang, Chun-Ting Liu, and Xiang-Long Jiang, "A Greedy Randomized Block Coordinate Descent Algorithm with k-means Clustering for Solving Large Linear Least-squares Problems," IAENG International Journal of Computer Science, vol. 51, no. 5, pp511-518, 2024
Toward a Model to Predict Cardiovascular Disease Risk Using a Machine Learning Approach Khaoula Slime, Abderrahim Maizate, Larbi Hassouni, and Najat Mouine IAENG International Journal of Computer Science, 51:5, pp519-527 [Online Full Text] Khaoula Slime, Abderrahim Maizate, Larbi Hassouni, and Najat Mouine, "Toward a Model to Predict Cardiovascular Disease Risk Using a Machine Learning Approach," IAENG International Journal of Computer Science, vol. 51, no. 5, pp519-527, 2024
Blind Image Deblurring Using Gradient Prior and Sparse Prior Su Xiao IAENG International Journal of Computer Science, 51:5, pp528-543 [Online Full Text] Su Xiao, "Blind Image Deblurring Using Gradient Prior and Sparse Prior," IAENG International Journal of Computer Science, vol. 51, no. 5, pp528-543, 2024
FC-MIDTR-WCCA: A Machine Learning Framework for PM2.5 Prediction Tianyi Tu, Ye Su, and Sheng Ren IAENG International Journal of Computer Science, 51:5, pp544-552 [Online Full Text] Tianyi Tu, Ye Su, and Sheng Ren, "FC-MIDTR-WCCA: A Machine Learning Framework for PM2.5 Prediction," IAENG International Journal of Computer Science, vol. 51, no. 5, pp544-552, 2024
Combinatorial Properties of Involutive Fibonacci Arrays Hannah Blasiyus, and D. K. Sheena Christy IAENG International Journal of Computer Science, 51:5, pp553-561 [Online Full Text] Hannah Blasiyus, and D. K. Sheena Christy, "Combinatorial Properties of Involutive Fibonacci Arrays," IAENG International Journal of Computer Science, vol. 51, no. 5, pp553-561, 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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