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.
Published: 2026-04-25