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Advanced Intelligent Computing Technology and Applications: 21st International Conference, ICIC 2025, Ningbo, China, July 2629, 2025, Proceedings, Pa [Paperback]

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  • Category: Books (Computers)
  • ISBN-10:  9819500087
  • ISBN-10:  9819500087
  • ISBN-13:  9789819500086
  • ISBN-13:  9789819500086
  • Publisher:  Springer
  • Publisher:  Springer
  • Pages:  530
  • Pages:  530
  • Binding:  Paperback
  • Binding:  Paperback
  • SKU:  9819500087-11-SPRI
  • SKU:  9819500087-11-SPRI
  • Item ID: 106920720
  • List Price: $99.99
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The 20-volume set LNCS 15842-15861, together with the 4-volume set LNAI 15862-15865 and the 4-volume set LNBI 15866-15869, constitutes the refereed proceedings of the 21st International Conference on Intelligent Computing, ICIC 2025, held in Ningbo, China, during July 26-29, 2025.

The 1206 papers presented in these proceedings books were carefully reviewed and selected from 4032 submissions. They deal with emerging and challenging topics in artificial intelligence, machine learning, pattern recognition, bioinformatics, and computational biology. 

 

.- Neural Networks.
.- Event Data Classification using TPE-based Deep Spiking Neural Networks.
.- TIINet: A Three-Stage Interactive Integration Network for RGB-D Salient  Object Detection.
.- Dynamic Semantic Graph Learning with Progressive Alignment for Image-Text Matching.
.- MGTDGraph: Multi-granularity Graph Attention Networks for Multivariate  Long-term Time Series Forecasting.
.- Topology-Aware Discriminative Graph Convolutional Network for  Skeleton-Based Action Recognition.
.- Online Delay Learning Algorithm for Feedforward Spiking Neural Networks  Based on Spike Train Kernels.
.- Energy-Constrained UAV Network Topology Recovery Based on Graph  Convolutional Networks.
.- UBDet: An Unsupervised Breast Tumor Detection Framework with  Boundary-Aware Enhancement.
.- Bidirectional Interactive Prompt Fusion and Noise Filtering for Multimodal  Aspect-Based Sentiment Analysis.
.- AMTerrain: Research on Arbitrary-Modal Terrain Segmentation Based on&aml£)

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