Neural Computing for Advanced Applications: 6th International Conference, NCAA 2025, Hong Kong, China, July 46, Proceedings, Part II: 2665

Name: Neural Computing for Advanced Applications: 6th International Conference, NCAA 2025, Hong Kong, China, July 46, Proceedings, Part II: 2665
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Bol This two-volume set CCIS 2664 and 2665 constitutes the refereed proceedings of the 6th International Conference on Neural Computing for Advanced Applications, NCAA 2025, held in Hong Kong, China, during July 4–6, 2025. The 62 full papers presented in these proceedings were carefully reviewed and selected from 160 submissions. The papers are organized in the following topical sections: Part I: Neural network (NN) theory, NN-based control systems, neuro-system integration and engineering applications; Deep learning-driven pattern recognition, computer vision and its industrial applications. Part II: Natural language processing, knowledge graphs, recommender systems, and their applications; Neural computing-based fault diagnosis and forecasting, prognostic management, and cyber-physical system security; Sequence learning for spreading dynamics, forecasting, and intelligent techniques against epidemic spreading; Multimodal deep learning for representation, fusion and applications; Workshop session: International Conference on Cognitive Intelligence (ICCI).

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This two-volume set CCIS 2664 and 2665 constitutes the refereed proceedings of the 6th International Conference on Neural Computing for Advanced Applications, NCAA 2025, held in Hong Kong, China, during July 4–6, 2025. The 62 full papers presented in these proceedings were carefully reviewed and selected from 160 submissions. The papers are organized in the following topical sections: Part I: Neural network (NN) theory, NN-based control systems, neuro-system integration and engineering applications; Deep learning-driven pattern recognition, computer vision and its industrial applications. Part II: Natural language processing, knowledge graphs, recommender systems, and their applications; Neural computing-based fault diagnosis and forecasting, prognostic management, and cyber-physical system security; Sequence learning for spreading dynamics, forecasting, and intelligent techniques against epidemic spreading; Multimodal deep learning for representation, fusion and applications; Workshop session: International Conference on Cognitive Intelligence (ICCI).

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