Journal of Smart Computing Biannual
Current Issue · Vol. 1, No. 1 (2025)

Journal of Smart Computing

Welcome to the Journal of Smart Computing (JSC), an international peer-reviewed journal dedicated to advancing intelligent and data-driven computational research. The journal provides a multidisciplinary platform for publishing high-quality theoretical, methodological, and applied studies in smart computing, artificial intelligence, operations research, and emerging computational paradigms.
Inspired by the growing importance of intelligent computing and AI-driven technologies in modern research and industry, the journal welcomes innovative contributions that promote efficient, adaptive, and intelligent decision-making systems.

JSC welcomes submissions addressing, but not limited to, the following areas:

• Artificial Intelligence and Machine Learning
• Data-Driven Optimization and Analytics
• Intelligent Operations Research
• Smart and Intelligent Systems
• Computational Intelligence
• Metaheuristic and Optimization Algorithms
• Deep Learning and Predictive Modeling
• Big Data and Decision Support Systems
• Digital Transformation and Industry 4.0
• Explainable and Human-Centered AI
• Edge, Cloud, and Smart Computing
• Intelligent Applications in Engineering and Business

JSC welcomes original research articles, review papers, case studies, and emerging applications that contribute to the future of smart and intelligent computing.

Recent articles

  1. 01

    Smart Computing for Industry 4.0: A Conceptual IoT–Edge Framework with a Simulated Smart-Manufacturing Case Study

    Tzu-Chia Hsu, Yun-Kai Tsai, Yen-Wei Hu, Bo-Hao Zhong, Jin-Yang Luo, Ming-Hung Chang

    Smart manufacturing under the Industry 4.0 paradigm increasingly depends on the convergence of the Internet of Things (IoT) and edge computing, which together promise sub-second decisions on the shop floor. Yet manufactu…

    Research Article pp. 1-14 10 Jul 2025

Latest announcements

25 May 2026

Special Issue Call — Privacy-Preserving Federated Learning

JSC invites submissions to a forthcoming special issue on privacy-preserving federated learning. We seek contributions on differential privacy in federated settings, secure aggregation protocols, and the systems aspects of FL at scale.

Deadline for submissions: rolling. Manuscripts will be reviewed as they arrive and the issue closes when fully populated.