Advanced Intelligent Computing Technology and Applications, Kartoniert / Broschiert
Advanced Intelligent Computing Technology and Applications
- 21st International Conference, ICIC 2025, Ningbo, China, July 26-29, 2025, Proceedings, Part I
(soweit verfügbar beim Lieferanten)
- Herausgeber:
- De-Shuang Huang, Yijie Pan, Wei Chen, Bo Li
- Verlag:
- Springer, 07/2025
- Einband:
- Kartoniert / Broschiert
- Sprache:
- Englisch
- ISBN-13:
- 9789819698622
- Artikelnummer:
- 12765259
- Umfang:
- 552 Seiten
- Gewicht:
- 826 g
- Maße:
- 235 x 155 mm
- Stärke:
- 30 mm
- Erscheinungstermin:
- 24.7.2025
- Serie:
- Lecture Notes in Computer Science - Band 15842
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
Weitere Ausgaben von Advanced Intelligent Computing Technology and Applications |
Preis |
|---|---|
| Buch, Kartoniert / Broschiert, Englisch | EUR 89,80* |
| Buch, Kartoniert / Broschiert, Englisch | EUR 87,60* |
| Buch, Kartoniert / Broschiert, Englisch | EUR 89,80* |
| Buch, Kartoniert / Broschiert, Englisch | EUR 89,80* |
| Buch, Kartoniert / Broschiert, Englisch | EUR 89,80* |
| Buch, Kartoniert / Broschiert, Englisch | EUR 87,60* |
| Buch, Kartoniert / Broschiert, Englisch | EUR 98,56* |
| Buch, Kartoniert / Broschiert, Englisch | EUR 98,56* |
| Buch, Kartoniert / Broschiert, Englisch | EUR 98,56* |
| Buch, Kartoniert / Broschiert, Englisch | EUR 98,56* |
| Buch, Kartoniert / Broschiert, Englisch | EUR 109,51* |
| Buch, Kartoniert / Broschiert, Englisch | EUR 98,56* |
| Buch, Kartoniert / Broschiert, Englisch | EUR 98,56* |
| Buch, Kartoniert / Broschiert, Englisch | EUR 87,60* |
Klappentext
.- Image Processing . .- Graph Sampling Transformer for HSI Classification. .- Selective Targeting for Enhanced Salient Object Detection. .- ALD-Net: Adaptive Local Diffusion Network for Ethnic Pattern Synthesis. .- ISTD-YOLO: A Multi-Scale Lightweight High-Performance Infrared Small Target Detection Algorithm. .- DBTNet: Dual-Stream Background-Target Decoupling Network for Infrared Small Target Detection. .- STARS: Sparse Learning Correlation Filter with Spatio-temporal Regularization and Super-resolution Reconstruction for Thermal Infrared Target Tracking. .- Semantic-Guided Multi-Attention Model for Infrared and Visible Image Fusion: A Deep Learning Approach. .- Feature-guided Prototype-enhanced Few-shot Semantic Segmentation Model. .- Image Aesthetic Quality Assessment Method Based on Multi-Scale Fusion Spiking Neural Network Vision Transformer. .- Feature-Augmented Segment Anything Model for Salient Object Detection in Optical Remote Sensing Images. .- DDECNet: Dual-Branch Difference Enhanced Network with Novel Efficient Cross-Attention for Remote Sensing Change Detection. .- Remote Sensing Image Change Detection Based on Wavelet Feature Interaction and Multi-Scale Feature Aggregation. .- Depixelation and Enhancement Algorithm of Fiber Bundle Images Based on Diffusion Model. .- MambaSTR: Scene Text Recognition with Masked State Space Model. .- MambaFER: A Mamba-Based Dual-Perception Network for Facial Expression Recognition in the Wild. .- A Steel Surface Defect Detection Method Based on a Lightweight Semantic Segmentation Model. .- YOLO-CBD: A Classroom Behavior Detection Method. .- Optimizing Small Object Detection in Drone Imagery: A Lightweight Weighted Multi-Branch Supportive Fusion. .- Test-Time Adaptation via Distribution-Aware Guidance for Vision-Language Models. .- GDAFormer: Transformer-Driven Fundus Image Enhancement with Gated Dual-Attention. .- Change Detection for Wide-Field Video Images in Foggy Weather Based on Enhanced K-Means Clustering. .- PML-SLAM: Optimizing and Enhancing Visual SLAM with Point-to-Line Matching. .- RGPest-YOLO: A YOLOv8 Pest Detection Method Based on Image Preprocessing. .- IRAWildNet: A Multi-Species Infrared Wildlife Target Detection Method from the UAV Perspective. .- FTDB-Net: A Fourier Transform-Based Dual-Branch Low-Light Image Enhancement Network. .- Curriculum-Learned Masked Pretraining Models for Remote Sensing Building Detection. .- End-to-End Landmark Guided Head Pose Estimation. .- JPEG Image Encryption with Cross-Channel Permutation and Tunable Range Substitution. .- ERUAVNet: An Efficient Reparameterized Network for Unmanned Aerial Vehicle Detection. .- Modality Perception Network for Multi-Modal Rumor Detection. .- Dual-Branch Diffusion Model for JPEG Artifact Correction. .- Enhancing H&E-to-IHC Virtual Staining via Multi-Channel Correlation Learning. .- HASNet: A Hybrid CNN-Transformer Network with Adaptive Sparse Cross Attention for Low-Light Image Enhancement. .- Multi-View 3D Object Detection by Using a Preluded 2D Detector. .- A L0 Framework with Anisotropic Sparsity and Fairness for 3D Denoising. .- Real-Time Semantic Segmentation for UAV Perspectives on Embedded Platforms. .- FDRFCD: Feature Disentangling Representation and Fusion Deep Network for Remote Sensing Image Change Detection. .- WSFFormer: LightWeight Wavelet Spatial-Frequency Vision Transformer for Visual Representation Learning. .- Pose-Enhanced 3D Rotary Embedding for Multi-View 3D Object Detection. .- Exploratory Study on Enhancing Generalization Performance of Transformer Architectures in MedicalImage Segmentation: A Survey. .- Planar KNN for Multi-Camera Interference Mitigation of Point Cloud. .- Frequency-Enhanced Part Feature Mining and Cross-Modality Alignment for Visible-Infrared Person Re-Identification. .- SRL-UNet: An Improved Residual U-Net with 2D-Selective-Scan for Nuclear Segmentation.
Biografie (Wei Chen)
Wei Chen is the Wilson-Cook Chair Professor in at Northwestern University. She is a Professor in the Department of Mechanical Engineering, with courtesy appointment in the Department of Industrial Engineering and Management, and is a faculty fellow of the Segal Design Institute. She is also the Director of the interdisciplinary doctoral cluster in Predictive Science and Engineering Design (PSED) at Northwestern. Wei Chen received her PhD in Mechanical Engineering from the Georgia Institute of Technology in 1995, her M.S. from the University of Houston in 1992, and her B.S. from Shanghai Jiao Tong University, China in 1988. Before joining Northwestern University in 2003, she served at Clemson University (1995-98) and the University of Illinois at Chicago (1998-2003). Directing the Integrated DEsign Automation Laboratory (IDEAL), her current research involves issues such as consumer choice modeling and enterprise-driven Decision-Based Design, simulation-based design under uncertainty, model validation, stochastic multiscale analysis and design, robust shape and topology optimization, and multidisciplinary optimization. To promote Decision-Based Design as a new design paradigm that employs the classical decision theory and rigorous mathematical principles to preference modeling and design decision-making, during 1996 to 2004, Chen co-organized the National Science Foundation (NSF) sponsored Open Workshop on Decision-Based Design, a series of 18 face-to-face meetings and website workshops . Chen was the recipient of the 1996 NSF Faculty Early Career Award and the 1998 American Society of Mechanical Engineers (ASME) Pi Tau Sigma Gold Medal achievement award. She was also the recipient of the 2005 Intelligent Optimal Design Prize and the 2006 SAE Ralph R. Teetor Educational award. Chen is a Fellow of American Society of Mechanical Engineers (ASME) and an Associate Fellow of American Institute of Aeronautics and Astronautics (AIAA). She is an elected member of the ASME Design Engineering Division Executive Committee and an elected Advisory Board member of the Design Society. Author of the book Decision Making in Engineering Design (co-edited with Lewis, K. and Schmidt, L.) and over 190 technical papers, Chen is an Associate Editor of the ASME Journal of Mechanical Design and serves as the review editor of Structural and Multidisciplinary Optimization. In the past, she was an Associate Editor of the Journal of Engineering Optimization (07-09).