Artificial Intelligence

1 Items

This category focuses on the development and validation of machine‐learning algorithms, knowledge‐representation schemas, and autonomous decision‐making systems. Topics span supervised and unsupervised learning, reinforcement learning, and explainable AI methodologies. Application‐driven studies in robotics, natural‐language processing, and intelligent control systems are particularly encouraged. Papers addressing ethical considerations, model fairness, and robustness against adversarial attacks enrich the field. Submissions should demonstrate theoretical innovation or empirical performance improvements in real-world problem domains.

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  • Physics-Informed Neural Networks in Aerospace: A Structured Taxonomy with Literature Review

    Yurii Tkachov, Oleh Murashko (Author)
    4-28
    DOI: https://doi.org/10.15421/cims.4.313