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Advanced Intelligent Computing Technology and Applications 21st International Conference, ICIC 2025, Ningbo, China, July 26–29, 2025, Proceedings, Part XXII /

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 pr...

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Bibliografische gegevens
Coauteur: SpringerLink (Online service)
Andere auteurs: Huang, De-Shuang (Redacteur), Chen, Wei (Redacteur), Pan, Yijie (Redacteur), Chen, Haiming (Redacteur)
Formaat: Elektronisch E-boek
Taal:Engels
Gepubliceerd in: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Editie:1st ed. 2025.
Reeks:Lecture Notes in Artificial Intelligence, 15863
Onderwerpen:
Computational intelligence.
Computer networks .
Machine learning.
Application software.
Computational Intelligence.
Computer Communication Networks.
Machine Learning.
Computer and Information Systems Applications.
Online toegang:https://doi.org/10.1007/978-981-95-0009-3
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Inhoudsopgave:
  • -- 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 Text Guidance.
  • Correlation Adaptive Dynamic Graph Convolutional Networks for Traffic Flow Prediction.
  • EMDC-YOLO: A Residual Multi-Scale Attention and Cross-Scale Fusion based Method for Pedestrian Detection in Crowded Scenes.
  • A Novel Lightweight YOLO Method for Satellite Remote Sensing via Matrix Decomposition.
  • TSMDM-Net: A Speech Emotion Recognition Model Based on Multi-Scale Time Series Dynamic Modeling.
  • Research on Contrastive Learning-Based Knowledge Distillation for Deep Graph Neural Networks.
  • Two-view Fusion Graph Neural Networks for Graph Classification.
  • MambaForDIF: Distance-Importance Features and Long-Range Dependencies for Enhancing Aspect-Based Sentiment Analysis.
  • FedCWE: Federated Cluster-based Weight Sampling and Ensemble Learning for Non-IID Data.
  • ORE: an Offline Redundancy Elimination System for GNN Acceleration.
  • Time Efficiency: Legendre Polynomials in Kolmogorov-Arnold Network.
  • SCAUnet: Symmetric Cross-Attention U-net model for Semantic Segementation.
  • Self-Attention Multiscale Mixed Propagation Network Based on Contrastive Augmentation.
  • Sentiment Perception from Tokens: A Multitask Learning Framework with Entropy-Driven Fusion.
  • GCLCP: Graph Contrastive Learning with Convolutional Perturbation for Recommendation.
  • Agro-LLaVA-Next: A Large Multimodal Model for Plant Diseases Recognization.
  • LTL-GCL:A more efficient layer-to-layer graph contrastive learning method for recommender system.
  • IMVGCN : Interactive Multi-view Learning Graph Convolutional Networks for Traffic Flow Forecasting.
  • An Inverse Cavity Scattering Inversion Method Based On Adaptive Neural Fuzzy Inference System.
  • Entity Backdoor Attacks Against Fine-Tuned Models.
  • Knowledge Graph Denoising with Dual Contrast for Recommendation.
  • DDformer: Deepfake Detection with Multimodal Fusion Transformer.
  • Improved Transfer Learning based on Increased Model Capacity and Weight Re-initialization for ResNet.
  • BEVboost: Research on 3D Object Detection Method for Roadside Based on Multi-Feature Fusion.
  • ARG-Net：Gaze Estimation Based on Adversarial Learning and Learnable Networks.
  • GNN Advanced Heuristics Algorithm for Solving Multi-Depot Vehicle Problem.
  • MSDBNet: A Multi-Scale and Dual-Branch Network for Cross-Domain Person Re-identification.
  • Global and Local Feature Enhancement for Short Video Fake News Detection.
  • SpikingRM: Efficient Scheduling Algorithm Based on Spiking Neural Network and Deep Reinforcement Learning.
  • Infrared Multi-Scale Target Detection Based on Improved YOLOv11 and Spatiotemporal Features.
  • Hierarchical Attention-Driven Dynamic Graph Neural Networks for Accurate Supply Chain Demand Forecasting.
  • DHCBR: Evaluating the Influence of Supply Chain Complex Network Nodes Based on ResNet.
  • An Efficient DNN Training Method with Progressive Pruning.
  • TPKD: Teacher-Pruned Knowledge Distillation for Point Cloud-Based 3D Object Detection.
  • Network Protocol Security Evaluation via LLM-enhanced Fuzzing in Extended ProFuzzBench.

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