Artificial Intelligence and Robotics : 10th International Symposium, ISAIR 2025, Nantong, China, August 24-26, 2025, Revised Selected Papers, Part I (Communications in Computer and Information Science)

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Artificial Intelligence and Robotics : 10th International Symposium, ISAIR 2025, Nantong, China, August 24-26, 2025, Revised Selected Papers, Part I (Communications in Computer and Information Science)

Lu, Huimin (EDT)

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Springer Verlag, Singapore（2025/12発売）
外貨定価 US$ 99.99
ポイント 197pt

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製本 Paperback:紙装版/ペーパーバック版
言語 ENG
商品コード 9789819548200

Full Description

This book constitutes the refereed proceedings of the 10th International Symposium Conference on Artificial Intelligence and Robotics, ISAIR 2025, in Nantong, China, in August 24-26, 2025.

The 45 full papers presented in this volume were carefully reviewed and selected from 102 submissions. They focus on all aspects of artificial intelligence, robotics and Internet of Things.

.- Movie Poster Design Based on Composite Template Learning.
.- Beat tracking algorithm based on multi-scale feature fusion and attention mechanism.
.- A Benchmark for Document Understanding of LLMs in the Field of Electric Power.
.- Small Object Detection Using DM-YOLOv10 in Complex Scenes.
.- Improved CycleGAN for Mine Low-Light Image Enhancement.
.- AI Powered Energy and Power Electronic Data Storage and Forensics based on Blockchain.
.- Uncertainty-aware Semi-supervised Human Pose Estimation.
.- Clear Boundary LoRAS: A hybrid re-sampling strategy for imbalanced learning.
.- TSVITFusion: Infrared and Visible Image Fusion via a Two-Stage Vision Transformer Framework.
.- AeroYOLOv9 for Airport Surface Object Detection via the ASMOD Dataset.
.- DMFSO-YOLO: A Dynamic Multi-scale Fusion and Speed-Optimized Network for Steel Surface Defect Detection.
.- Multi Action Unit Feature Fusion Network for Micro-Expression Recognition.
.- Research on energy consumption prediction method of pure electric tugboat based on machine learning.
.- A review of object detection techniques for novel power systems.
.- RUMNet: Reconstructed Attention and Unified Multimodal Network for Medical Image Segmentation.
.- A review of multi-source and multi-modal anomaly data detection for new power systems.
.- HiResSiamNet: Hierarchical Residual Siamese Networks for Source Camera Device Linking on Small-sized Images.
.- Research on Music Emotion Recognition Based on Multi-scale Attention and Cross-modal Contrastive Learning.
.- A Study of Self-Trained Unsupervised Semantic Segmentation Based on Dual-Branch.
.- Research on Controllable Music Generation Algorithm Based on Multi-Branch Fusion.
.- Melody Extraction Based on Dual-Branch Feature Fusion and Spatial Direction Attention.
.- Generating Video with Conditional Control Diffusion Model.
.- QMB: A Quaternion-based Modality Balancing Framework for Multimodal Multilabel Emotion Recognition.
.- Lightweighted MX-YOLO Model for Traffic Object Detection.
.- MFW-RTDETR: Lightweighted Model Using MobileNetV4 and LAMP for Aerial Object Detection.
.- T-Splines local refinement based on Half-edge Data Structure.
.- Development of a Multimodal Dialogue Robot for Multi-Speakers.
.- Consonant-Enhanced Hearing Aid for Speech Intelligibility in Older Adults with Mild Hearing Loss - A Listening Evaluation of Consonant Enhancement.
.- Phoneme Category Classification for Consonant-Enhanced Hearing Aid System.
.- Geospatial Target Recognition Using Feature-Enhanced YOLOv11.