Archives | International Journal of Intelligent Systems and Data Science

Vol. 1 No. 2 (2026)

This issue presents research advancing intelligent computing, data science, cloud infrastructure, cybersecurity, and autonomous systems. The featured articles explore machine learning optimization, scalable Bayesian methods, DevOps automation, virtualized infrastructure evaluation, enterprise SaaS architectures, and AI-driven anomaly detection. Additional contributions address collaborative robotics, automated analytical workflow generation, computational performance optimization, cloud access-control verification, container security, healthcare interoperability security, and scientific mobility analysis. Collectively, these studies highlight innovative approaches for building secure, scalable, and intelligent systems that support modern data-driven technologies and decision-making.

Vol. 1 No. 1 (2026)

This issue of the International Journal of Intelligent Systems and Data Science (IJISDS) presents a curated selection of research focused on the optimization and security of modern computational frameworks. The featured papers investigate a diverse range of technical challenges, including the efficacy of sandboxing environments, entropy-constrained semantic modeling, and the orchestration of virtualized storage infrastructures.

Furthermore, this collection explores practical applications in environmental forecasting, swarm robotics, and distributed AI, offering modular solutions for collaborative learning and robust data processing in complex ecosystems.

Vol. 1 No. 3 (2026)

This issue presents research at the intersection of artificial intelligence, data science, and modern computational systems. The contributions explore advances in large and small language models, distributed cognitive systems, blockchain technologies, cybersecurity, container orchestration, embedded systems, dynamic optimization, and machine learning applications in agriculture and audio synthesis. Combining theoretical innovations with practical implementations, the articles highlight the growing convergence of intelligent algorithms and scalable computing infrastructures, reinforcing the importance of interdisciplinary research in addressing complex scientific and engineering challenges.