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Journal of Computing Science and Engineering (JCSE) is a peer-reviewed quarterly journal that publishes high-quality papers on all aspects of computing science and engineering. The primary objective of JCSE is to be an authoritative international forum for delivering both theoretical and innovative applied researches in the field. JCSE publishes original research contributions, surveys, and experimental studies with scientific advances.
The scope of JCSE covers all topics related to computing science and engineering, with a special emphasis on the following areas:
Embedded Computing
Ubiquitous Computing
Convergence Computing
Green Computing
Smart and Intelligent Computing
Human Computing
[JCSE] published paper - list (December, 2025)
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CURRENT ISSUE: Vol. 19, Number 4, December, 2025
Front Matter (Front Cover, JCSE Information, Editorial Board Information, TOC)
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Deep Learning Models and Knowledge Graph Construction: Recommendations for English Course Learning
Ximiao Han [Faculty of International Education, Sias University, Xinzheng, Zhengzhou, China]
A Comparative Statistical Analysis of Machine Learning Models for Suspicious Email Detection
Alaa Sheta, Nastaran Davudi Pahnehkolaee, Malik Braik, Abdel Karim M. Baareh, Walaa H. Elashmawi, and Emad S. Othman [Department of Computer Science, Southern Connecticut State University, New Haven, CT, USA Department of Computer Engineering, Islamic Azad University Malard Campus, Malard, Iran Computer Science Department, Al-Balqa Applied University, Salt, Jordan Department of Applied Science, Ajloun University College, Al-Balqa Applied University, Ajloun, Jordan Department of Computer Science, Faculty of Computers & Informatics, Suez Canal University, Ismailia, Egypt Department of Management Information System, AL-Shorouk Academy, Cairo, Egypt]
Improved Cryptanalysis of SIMON 64/128 Block Cipher
Appala Naidu Tentu and Praveen Kumar Gundaram [C R Rao Advanced Institute of Mathematics, Statistics and Computer Science (AIMSCS), University of Hyderabad Campus, Gachibowli, Hyderabad, India]
A Method for Intent Classification of Paddy Field Pest and Disease Questions Based on RoBHBB-Att
Hao Liu, Yindong Dong, Yong Ye, Jun Zhang, Xinjun Zhou, Deli Chen, and Xinyu Chen [School of Artificial Intelligence, Anhui Agricultural University, Hefei, China]
Back Matter (Instructions for Authors, Back Cover)
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