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

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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 b...

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Kaituhi rangatōpū: SpringerLink (Online service)
Ētahi atu kaituhi: Huang, De-Shuang (Editor), Li, Bo (Editor), Chen, Haiming (Editor), Zhang, Chuanlei (Editor)
Hōputu: Tāhiko īPukapuka
Reo:Ingarihi
I whakaputaina: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Putanga:1st ed. 2025.
Rangatū:Communications in Computer and Information Science, 2564
Ngā marau:
Computational intelligence.
Computer networks .
Machine learning.
Application software.
Computational Intelligence.
Computer Communication Networks.
Machine Learning.
Computer and Information Systems Applications.
Urunga tuihono:https://doi.org/10.1007/978-981-96-9911-7
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Rārangi ihirangi:
  • -- Neural Networks.
  • EMAFN: Enhanced Multimodal Alignment and Fusion for visual question answering Networks.
  • PHierT: a Privacy-Preserving Hierarchical Transformer Model for ICS Network Traffic Classification.
  • IDRS: An Input-Dependent Randomized Smoothing Method Certifying the Robustness of Temporal Link Prediction Models.
  • MICTE: Mutual information and cross-modal text enhancement for multimodal sentiment analysis.
  • Online Delay Learning Algorithm for Recurrent Spiking Neural Networks with Multiple Synaptic Connections.
  • Enhancing Semantic-Guided Self-Supervised Monocular Depth Estimation by Exploring Task-Related Representations.
  • Neural Networks Remember More: The Power of Parameter Isolation and Combination.
  • STLANet: A Spatio-Temporal Linear Attention Network for Multivariate Time Series Classification.
  • Adaptive Dynamic Inference Framework Using Multi-Route Neural Networks under Constraints.
  • AutoDesign-Net: Genetic Algorithm-Driven Neural Architecture and Feature Selection for Adaptive Time Series Modeling.
  • SCN-YOLOv8: A Paradigm for Urban Road Garbage Detection Algorithm Based on YOLOv8.
  • U-GANs: Pyramidal Convolutional Attention Fusion Network for Pneumonia Infection Segmentation with Semi-Supervised Learning.
  • Multi Hierarchical Time Structures Aware Passenger Preference Evolution for Personalized Flight Recommendation.
  • Density Constraint Based Neural Fluid.
  • Joint Training of Singular Value Decomposition and Variational Graph Autoencoders for Link Prediction.
  • CTMASleep: A Multi-Task Learning Framework for Single-Channel Sleep Staging.
  • Enhancing Effective Channels of Data for Multivariate Time Series Classification.
  • GA-fPINN: Global-Adaptive Physics-Informed Neural Networks for Predicting the Nonlinear Dynamics of Temporal Fractional Order Differential Equations.
  • Reformulating Distributed Hybrid Flow Shop Scheduling under Degradation Effect Using Deep Reinforcement Learning and Spliced Heterogeneous Graph Attention Networks.
  • Spectral Bounds and Quantum State Reconstruction in Multi-Dimensional Discrete-Time Quantum Walks.
  • BlastocystMask: An Instance Segmentation of Internal Structure in Human Blastocyst Images.
  • Delay Learning Algorithm in Spiking Neural Networks for Network Intrusion Detection.
  • Using An Improved Lightweight YOLOv11 Model for Fuzzy Image Object Detection.
  • A Diffusion-Based Neuron Coverage Feedback Fuzz Testing Method.
  • Enhancing Fast Adversarial Training via Adaptive Self-Knowledge Dynamic Guidance.
  • Frequency Perturbation and Spatial Attention Modulation for Privacy Preserving Action Recognition.
  • Lightweight Neural Networks for Expiration Date Accessibility.
  • YOLO-LFS: A Lightweight Method for Pomegranate Growth State Detection.
  • Partitioned Memory-Based Method for Long-Tail Document-Level Relation Extraction.
  • USEE-YOLO:An Improved Underwater Small Object Detection Algorithm With Edge Enhancement.
  • A Lightweight Multi-View Stereo Method for 3D Reconstruction using Wavelet Transform and Depthwise Separable Convolution.
  • FairGEO: Lightweight Bias Mitigation in Pruned CNNs via Length and Angle Alignment from Geometric Perspectives.
  • Enhancing Federated Learning with Kolmogorov-Arnold Networks: A Comparative Study Across Diverse Aggregation.
  • KFC: A Kalman Filtering Correction Method for Diffusion Model Acceleration.
  • A Dual-Stream Network Architecture Based on GNN and CNN for Intrusion Detection.
  • Generalization-Driven Anomaly Detection: A Two-Stage Framework with Encoder Freezing and Hybrid Learning.
  • GAT-Trans: Graph Attention Networks for Analog Hardware Trojan Detection at Transistor Level.
  • Clickbait Detection via Large Language Models.
  • Stratospheric Wind Field Simulation Using Physics-Constrained Latent Diffusion Model.
  • LLMonCAR: A Benchmark for Exploring Large Language Models on Cryptographic Algorithm Recognition.
  • Enhancing Subject-Oriented Video Captioning with Predicate-Guided Action Modeling.
  • Weaken Non-Primary Information to Enhance Single Face Image Super Resolution.
  • Research on abnormal electricity usage detection based on Time GAN-CNN Transformer-Bi LSTM.

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