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. 4 (2026)

This issue brings together a broad range of research spanning artificial intelligence, machine learning, cybersecurity, enterprise systems, data engineering, blockchain, computer graphics, software testing, and computational science. The featured studies explore interpretable EEG-based stress classification, privacy-preserving machine learning, intelligent cyber incident response, SAP S/4HANA automation, anomaly detection, graph algorithms, sentiment analysis, decentralized identity, and advanced visualization and simulation techniques. Collectively, these contributions demonstrate how emerging computational methods can address complex challenges in intelligent systems, secure data management, enterprise decision-making, scientific computing, and the development of robust, scalable, and trustworthy digital technologies.

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.

Vol. 1 No. 5 (2026)

This issue presents a diverse collection of research addressing emerging challenges across artificial intelligence, information security, cloud computing, blockchain, healthcare, education, smart transportation, energy transition, and enterprise technologies. The featured studies explore blockchain-enabled research integrity, reputation quantification, neuroevolutionary autonomous systems, AI-driven medical diagnosis, privacy-preserving machine learning, immersive photovoltaic adoption, cloud performance, SaaS customization, supply-chain analytics, computational thinking assessment, wireless security, reproducible computing, configuration management, product authenticity, precision industrial synchronization, decentralized asset exchange, and bias-aware natural language processing. Together, these contributions highlight innovative computational approaches, practical deployment frameworks, and interdisciplinary solutions for advancing intelligent, secure, and scalable digital ecosystems.