Intelligent Information Processing Methods in Interdisciplinary

Dear Colleagues,

In an era marked by an unprecedented pace of development in intelligent processing methods, its applications have permeated and transformed diverse fields including as healthcare, education, sports, and biology. This Special Issue on "Intelligent Information Processing Methods in Interdisciplinary" serves as an open and inclusive platform for researchers and practitioners to delve into the transformative potential of intelligent processing methods across these domains. This curated collection spotlights cutting-edge developments in AI-powered medical innovations, intelligent educational frameworks, data-driven sports analytics, and next-generation biotechnological solutions. By examining the integration of machine learning, deep learning, and other AI methodologies, the Special Issue not only showcases technical advancements but also emphasizes ethical considerations and real-world impact. The collection of peer-reviewed articles aspires to foster meaningful interdisciplinary dialog, bridge theoretical and applied research, and accelerate the translation of intelligent processing method innovations into actionable strategies that address complex, multifaceted challenges in our increasingly interconnected world.

This Special Issue focuses on recent advances in intelligent processing methods in interdisciplinary research, including a wide range of new processing techniques and experimental advances. Topics of interest include, but are not limited to, the following:

• AI-driven medical technologies;
• AI-driven biomedical signal processing;
• AI-driven sensor signal processing;
• AI-driven methods in sport and education;
• Machine learning methods and their applications in interdisciplinary research;
• Large language models and their applications in interdisciplinary research;
• Few-shot learning and its applications in interdisciplinary research;
• Federated learning and its applications in interdisciplinary research.

Dr. Xiaoqiang Hua
Guest Editor

Manuscript Submission Information

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