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Proceedings of 2025 The 3rd International Conference on Networks, Communications and Intelligent Computing (NCIC 2025)

Volume 2

Gebonden Engels 2026 9789819216345
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Samenvatting

This book gathers selected high-quality papers presented at the 3rd International Conference on Networks, Communications and Intelligent Computing (NCIC 2025), held during October 17–19, 2024, in Jiaozuo, China. The proceeding of NCIC 2025 targets a mixed audience of academicians and industry practitioners who are deeply involved in their respective technical fields. This book offers a platform for scholars and researchers to present their findings, methodologies, and applications in the fields. Readers will find a diverse range of topics including advancements in 6G, IoT implementations, green networking practices, and the role of artificial intelligence in enhancing networking efficiency. The primary beneficiaries of this book are professionals, researchers, and academics in the fields of networks, communications, and intelligent computing, as well as students pursuing advanced studies in these areas. The contents are curated to enhance knowledge, foster innovation, and encourage the practical application of emerging technologies in the industry. Additionally, the proceedings are not only a record of the conference's scholarly papers but also serve as a valuable resource for ongoing research and development activities within these cutting-edge technological domains.

Specificaties

ISBN13:9789819216345
Taal:Engels
Bindwijze:Gebonden
Aantal pagina's:380
Uitgever:Springer Nature Singapore

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Inhoudsopgave

Research on Lightweight Fabric Defect Detection Algorithm Based on Improved YOLOv8.- SSAC-YOLO: An Adaptive Target Detection Algorithm for Weak Small Objects in Remote Sensing Images.- Residual-Tail Boosting for Efficient Sentinel-2 Crop Classification: A Post-Training Approach.- A Multi-Stage Predictive World Model for Autonomous Driving.- Hierarchical Deep Learning for Multi-PU Cooperative Spectrum Sensing: A Sequential 1D-CNN and GCN Framework for Robust Feature Learning.- Lightweight Recognition of LPI Radar Signals Based on SHNet.- Adversarial Example Detection Based on Semantic Deviation.- Driving Style Analysis Using an Improved Bidirectional Long Short-Term Memory Denoising Variational Autoencoder (I-Bi-LSTM-DVAE).- Improving Remote Sensing Segmentation with Adaptive Tokenization in Vision-Language Models.- Pistachio Classification: A Synergistic Approach of 1DCNN and Handcrafted Features.- etc.

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          Proceedings of 2025 The 3rd International Conference on Networks, Communications and Intelligent Computing (NCIC 2025)