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Advanced Intelligent Computing Technology and Applications -

Advanced Intelligent Computing Technology and Applications

21st International Conference, ICIC 2025, Ningbo, China, July 26–29, 2025, Proceedings, Part VIII
Buch | Softcover
539 Seiten
2025
Springer Nature Switzerland AG (Verlag)
978-981-96-9963-6 (ISBN)
CHF 134,80 inkl. MwSt
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The 12-volume set CCIS 2564-2575, together with the 28-volume set LNCS/LNAI/LNBI 15842-15869, constitutes the refereed proceedings of the 21st International Conference on Intelligent Computing, ICIC 2025, held in Ningbo, China, during July 26-29, 2025.


The 523 papers presented in these proceedings books were carefully reviewed and selected from 4032 submissions.


This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was "Advanced Intelligent Computing Technology and Applications".

.- Intelligent Computing in Computer Vision.
.- LAC-YOLO: Advancing Metal Surface Defect Detection with Latent  Representation and Re-parameterized Feature Fusion.
.- YOLO-Xray: Massively Enhanced X-ray Detection with a Specialized  YOLO Framework.
.- Classroom Teacher Action Recognition Based on Teacher Region Extraction  and Temporal Pyramid Module.
.- RetinexWaveMamba: Retinex and Wavelet-based Lightweight Framework  for Low-Light Image Enhancement with Mamba.
.- DOLF-SLAM: A Visual-Inertial SLAM for Dynamic Environments with  Scene Flow-Based Object Filtering and Line Feature.
.- ClothAnimate: Boosting Video Virtual Try-on via Novel Attention-control  Diffusion Model.
.- Echoes of the Past: No-Reference Evaluation in Digital Restoration of  Ancient Murals.
.- PMNet: 3D Model based on Position Self-Supervision and Multiway  Attention for Pulmonary Nodule Classification.
.- DenseViT: Densely Connected Vision Transformers for Visual Recognition.
.- GVTNet: Graph Vision Transformer for Face Super-Resolution.
.- ADHI-YOLO: Attentive SPPF with Dynamic Head Integration for Object  Detection in Low-Light Environments.
.- DBNet-Enhanced Detection of Handwritten Mathematical Formulas.
.- SC-D3D: A Dual Collaborative Distillation Framework for High-Fidelity  Text-to-3D Generation.
.- Cross-Modal Hybrid Loss with Enhanced Feature Feedback for RGB-T  Crowd Counting.
.- WT-YOLO: A High-Accuracy Model for Wind Turbine Target Detection.
.- Ada-CAD: Adaptive distillation and Dynamic neighbor masked Attention for  Continual Anomaly Detection.
.- DSNC-Match: Semi-supervised Semantic Segmentation Based on Multi-information Mining.
.- Bidirectional Feature Fusion U-Net for Infrared Small Target Detection.
.- Physics-Data Synergy in Endoscopic Imaging: A Retinex-Based Dynamic Illumination Modulation Framework for Robust Monocular Depth Estimation.
.- EIL-YOLO: A Lightweight Model for Enhanced Small Object Detection in  UAV Images.
.- EduFocus-YOLO: Dynamic Multi-Scale Fusion Pyramid for Classroom  Behavior Detection.
.- SADAN: A Domain Adaptive SAR Object Detection Network Based on  Scale Aware Alignment.
.- NeuroSync: A Dual-Path Dynamically Modulated Framework with  Spatiotemporal Compression for Human Action Recognition.
.- TG-STC: Text Guided Spatio-Temporal Contextualization for Video Quality  Assessment.
.- Embodied Intelligence-Driven Framework for UAV Power Inspection  Systems: Federated Reinforcement Learning for Multi-Agent Collaborative  Optimization.
.- RSMA-Net: ResNet-Swin Residual Cooperative Encoding and Multi-Scale  Attentional Reconstruction Network for Cardiac Boundary Segmentation.
.- HTPAN: A lightweight hybrid topk-pooling attention network for efficient  plant disease detection.
.- Dual-Gradient Dynamic Splatting: Density Control with Dual-gradient for  3D Gaussian Splatting in Monocular Dynamic Scene.
.- Multi-level global-local context aggregation for video semantic segmentation.
.- FedPaI: Achieving Extreme Sparsity in Federated Learning via Pruning at  Initialization.
.- SnowTextNet: Detection-Guided Restoration Dual-Branch Network for Text  Detection in Snowy Scenes.
.- Joint Frame and Event Object Tracking via Non-Causal State Space Duality.
.- Enhancing YOLOv8 for Multi-Class Tongue Coating Detection: An  Analysis of Attention and Multi-Scale Fusion Mechanisms.
.- A Generative Face Detection Method Based on Local Artifact Metrics and  Gradient-Enhanced Attention Mechanism.
.- High-Low Frequency Feature Alignment for Few-Shot Object Detection.
.- RDMAUNet: A Residual Deformable Convolution and Multi-Attention  Model for Coronary Artery Segmentation.
.- Semantic Evolution and Boundary Samples Suppression for Generalized  Zero-Shot Learning.
.- EMSA: An Ensemble-Based Framework for Multimodal Sentiment Analysis.
.- Research on Urban Road Obstacle Detection Method Based on ERLM-YOLOv8.
.- QACC-Net: Lightweight Clothing Keypoint Detection with Quantized Self-Attention and Learnable Coordinate Classification.
.- SATENet: Bridging Structural and Edge Semantics for Vessel Segmentation.
.- Topology-Aware Transformer for Efficient Human Mesh Recovery with  Low-Dim Mesh Attention.
.- EDER-ACNN: CNN-Based Facial Expression Recognition with  Morphological EDER Preprocessing.
.- TP-SAM: Fine-tuning SAM with Task-specific Prompt in the Loop.

Erscheinungsdatum
Reihe/Serie Communications in Computer and Information Science
Zusatzinfo 201 Illustrations, color; 8 Illustrations, black and white
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Mathematik / Informatik Informatik Netzwerke
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik
Schlagworte Biomedical Data Modeling and Mining • Evolutionary Computing and Learning • Gene Regulation Modeling and Analysis • Image Processing • Information Security • Intelligent Computing in Computational Biology • Intelligent Computing in Computer Vision • Intelligent Computing in Drug Design • Intelligent Control and Automation • Knowledge Discovery and Data Mining • machine learning • Neural networks • pattern recognition • Protein Structure and Function Prediction • Signal Processing • Swarm Intelligence and Optimization • systems biology
ISBN-10 981-96-9963-0 / 9819699630
ISBN-13 978-981-96-9963-6 / 9789819699636
Zustand Neuware
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