Advances in Neural Networks - ISNN 2025 (eBook, PDF)

19th International Symposium on Neural Networks, Zhangye, China, August 22-24, 2025, Proceedings
Redaktion: Jin, Long; Wang, Lidan

• Format: PDF

Produktbeschreibung

This volume constitutes the refereed proceedings of the 19th International Symposium on Neural Networks, ISNN 2025, held in Zhangye, China, during August 22-24, 2025.

The 52 full papers were carefully reviewed and selected from 60 submission. They were organized in topical sections as follows: Design, Modeling and Application of AI Algorithms; Signal, Image, and Video Processing; Modeling, Analysis, and Implementation of Neural Networks; Control Systems, Robotics, and Autonomous Driving; Machine Learning Methods and Applications.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 597
• Erscheinungstermin: 22. August 2025
• Englisch
• ISBN-13: 9789819512331
• Artikelnr.: 75267099

Inhaltsangabe

.- Design, Modeling and Application of AI Algorithms.

.- Hybrid Architecture Accelerator Co-design for DNN on FPGA and ASIC.

.- Modeling Competitive Behavior in Weight-Unbalanced Social Networks.

.- DeeP-Mod: Deep Dynamic Programming based Environment Modelling using Feature Extraction.

.- Muography Inversion Based on First-Order Optimization Algorithm.

.- Regression-based Index Tracking versus Clustering-based Index Tracking: An Empirical Study.

.- Adversarial Imitation Learning Based on Weighted Wasserstein Distance.

.- Robust and Efficient Early Exit for Large Language Models: Mitigating KV Cache Loss and Enhancing Exit Stability.

.- CDEDI: A Conditional Diffusion Based Model for Environmental Data imputation.

.- Joint Forecasting of Stock Price Change Rate Based on Pretrained Models Using Text and Temporal Data.

.- Multimodal Deep Learning for Retinal Disease Diagnosis.