Call for Papers About the Journal Editorial Board Publication Ethics Instructions for Authors Announcements Current Issue Back Issues Search for Articles Categories 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 (September, 2024) [JCSE] published paper - list (June, 2024) [JCSE] published paper - list (March, 2024) [JCSE] published paper - list (December, 2023) [JCSE] published paper - list (September, 2023) CURRENT ISSUE: Vol. 18, Number 3, September, 2024 Front Matter (Front Cover, JCSE Information, Editorial Board Information, TOC) [] Covering Points in the Plane by Two Rectangular Annuli Sang Won Bae [Division of Artificial Intelligence and Computer Science, Kyonggi University, Suwon, Korea] A Robust Decryption Technique Using Letter Frequency Analysis for Short Monoalphabetic Substitution Ciphers Dayeong Kang and Jiyeon Lee [School of Computer Science and Engineering, Kyungpook National University, Daegu, Korea] Ensemble Learning Based on Feature Selection and Distance Normalization for Enhancing Corn and Weed Classification Faisal Dharma Adhinata, Wahyono, and umiharto [Faculty of Informatics, Institut Teknologi Telkom Purwokerto, Jawa Tengah, Indonesia/Department of Computer Science and Electronics, Universitas Gadjah Mada, Yogyakarta, Indonesia Department of Computer Science and Electronics, Universitas Gadjah Mada, Yogyakarta, Indonesia Department of Computer Science and Electronics, Universitas Gadjah Mada, Yogyakarta, Indonesia ] KHG-Aclair: Knowledge Hypergraph-Based Attention with Contrastive Learning for Recommendations Hyejin Park, Taeyoon Lee, and Kyungwon Kim [Korea Electronics Technology Institute, Seoul, Korea] Back Matter (Instructions for Authors, Back Cover) []

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