Aims & Scope

Aims

The Journal of Intelligent Systems and Applied Sciences (JISAS) aims to advance the understanding, development, and responsible deployment of intelligent systems by publishing research that integrates computational methods with real-world applications, interdisciplinary perspectives, and system-level evaluation.

Scope

JISAS welcomes original research, reviews, and applied studies that contribute to intelligent systems and applied computational sciences, particularly work that addresses practical constraints, human–AI interaction, system robustness, and trustworthy deployment.

Topics of interest include, but are not limited to:

  • Intelligent systems and machine learning under real-world constraints
    (e.g., limited data, computational efficiency, robustness, scalability)

  • Design, analysis, and evaluation of intelligent systems and algorithms

  • Human–AI systems, collective intelligence, and socio-technical systems

  • Trustworthy, explainable, and responsible intelligent systems

  • System-level evaluation, benchmarking, reproducibility, and failure analysis

  • Intelligent systems as infrastructure
    (e.g., lifecycle management, monitoring, model drift, maintenance)

  • Data science, data analytics, and knowledge discovery

  • Computer vision, natural language processing, and multimodal intelligence

  • Optimization, computational intelligence, and hybrid intelligent models

  • Interdisciplinary applications of intelligent systems
    (e.g., healthcare, education, public policy, sustainability, social systems)

Submissions should demonstrate methodological rigor, appropriate evaluation protocols, and clear scientific or practical relevance. Manuscripts that merely apply existing techniques without substantive computational contribution or evaluation are generally not considered.