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Advanced Intelligent Computing Technology and Applications: 21st International Conference, ICIC 2025, Ningbo, China, July 2629, 2025, Proceedings, Part III [Pehme köide]

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  • Formaat: Paperback / softback, 524 pages, kõrgus x laius: 235x155 mm, 211 Illustrations, black and white; XXV, 524 p. 211 illus., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 15844
  • Ilmumisaeg: 05-Sep-2025
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 9819698685
  • ISBN-13: 9789819698684
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  • Formaat: Paperback / softback, 524 pages, kõrgus x laius: 235x155 mm, 211 Illustrations, black and white; XXV, 524 p. 211 illus., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 15844
  • Ilmumisaeg: 05-Sep-2025
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 9819698685
  • ISBN-13: 9789819698684
Teised raamatud teemal:

This 20-volume set LNCS 15842-15861 constitutes - in conjunction with the 4-volume set LNAI 15862-15865 and the 4-volume set LNBI 15866-15869 - the refereed proceedings of the 21st International Conference on Intelligent Computing, ICIC 2025, held in Ningbo, China, during July 26-29, 2025.

The total of 1206 regular papers 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".

.- Image Processing


.- Spatial-Spectral Topological Graphmamba for Hyperspectral Image 
Classification.
.- Efficient 3D Brain Tumor Automatic Division Based on Attention 
Mechanism.
.- Lightweight Remote Sensing Image Change Detection Based on Global Feature
Fusion.
.- DUMD-EIT: A Three-Stage Deconvolution-UNet-Masked Diffusion Model  for
Electrical Impedance Tomography Image Reconstruction.
.- Image Deraining Network Based on Multi-Level Mixed Attention.
.- Deep Hashing based on Feature Fusion Enhancing Hierarchical Transformer
with Distance Separated Centers Guided Polarization Loss.
.- GTF: Generator for Pairwise Thermal Face Image Synthesis.
.- SDMD-RTDETR: An Improved Real-Time Transformer Detection Model  for
Detecting Violations in Power Operators' Dress.
.- Improving Heterogeneous Cryo-EM Reconstruction Using Transformer
Architecture.
.- TPANet: Scene Text Detection Based on Texture Refinement and Patch Driven
Attention with Cross-Level Feature Integration.
.- GL-Unet: Global-Local Attention Based Image Segmentation Algorithm for 
Transmission Line Defects.
.- EMCrossNet: Edge-guided Bidirectional Mamba Fusion Network for Crack 
Segmentation.
.- Forgery-aware Adaptive CLIP for Generalizable Face Forgery Detection.
.- Efficient Oriented Object Detection with Enhanced Small Object 
Recognition in Aerial Images.
.- Multimodal-guided Perceptual Image Compression via Joint Text and Audio.
.- A Image Restoration Network for Nighttime Variegated Haze Conditions.
.- The Loop Game: Quality Assessment and Optimization for Low-Light Image 
Enhancement.
.- Lightweight Image Super Resolution via Multi-branch Feature
Aggregation Network.
.- Deep Unfolding for Task-Decomposed Image Restoration Under Diverse
Degradations.
.- Cross-Modality Differential Feature Interaction for Multispectral
Pedestrian Detection.
.- BiSyncFusion: Dual-Stream Bidirectional Synchronization for BEV Multimodal
Fusion.
.- ESCA-Net: Attention-enhanced CNN and Transformer fusion coding  network
for lung airway tree segmentation.
.- Emphasizing Object-Background Difference Network for Camouflaged  Object
Detection.
.- MSD-SEG: Multi-scale Deformable Convolution Network for Segmentation of
Remote Sensing Images.
.- MCGFusion: Multi-Scale Cross Gated Fusion Framework for Multi-Focus  Image
Fusion.
.- A Deepfake Detection Model based on Optical Flow Estimation.
.- cross-modal Prior Generation and Structured Information Fusion for Fewshot
Semantic Segmentation.
.- IEDNet: Learning A Two-stage Enhancement-Denoising Network for Low Light
Image Enhancement.
.- Optimal Transport-Based Prompt Alignment for Unsupervised Domain
Adaptation.
.- CSN-YOLOv5s: A Novel Detection Algorithm for PCB Surface Defects.
.- Dynamic Convolution and Dimensional Joint Attention Based Denoising of 
Oracle Topography Images.
.- Dynamic Partition Cascade Matching Multi-Target Trajectory Association.
.- Learning Latent Representations with Codebook Priors for Single-Image
Flare Removal.
.- Chinese Text Detection in Natural Scenes based on Feature Pyramid with
Attention Mechanism.
.- K-CMorph: Integrating K-space Consistency and Complex-valued Processing
for Improved MRI Deformable Registration.
.- SA-SAM: Stronger Adaptation for SAM in Camouflaged Object Detection.
.- GASNet: Geometric Robust Adaptive Spatial-Enhanced Network for Building
Extraction.
.- FSCIE: Fast Covert Image Exfiltration via Screen Recording.
.- PanFormer: Dual-Head Soft Attention Meets Multi-Scale Residual Learning.
.- K2Mural: Text-Guided Pre-trained Model for Mural Image Inpainting.
.- FCFormer: Fourier Convolution Vision Transformer for Image
Classification.
.- YOLOv8-CSPD: Integrating Collaborative Attention and Lossless Downsampling
for Real-Time Industrial Aluminum Can Detection. 


.-Natural Language Processing and Computational Linguistics


.- Accelerating LLM Inference on RISC-V Edge Devices via Vector Extension
Optimization.