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

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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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Збережено в:
Бібліографічні деталі
Співавтор: SpringerLink (Online service)
Інші автори: Huang, De-Shuang (Редактор), Zhang, Qinhu (Редактор), Zhang, Chuanlei (Редактор), Chen, Wei (Редактор)
Формат: Електронний ресурс eКнига
Мова:Англійська
Опубліковано: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Редагування:1st ed. 2025.
Серія:Communications in Computer and Information Science, 2565
Предмети:
Computational intelligence.
Computer networks .
Machine learning.
Application software.
Computational Intelligence.
Computer Communication Networks.
Machine Learning.
Computer and Information Systems Applications.
Онлайн доступ:https://doi.org/10.1007/978-981-96-9946-9
Теги: Додати тег
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Зміст:
  • -- Information Security.
  • A High-efficiency Consensus Algorithm for Consortium Blockchain with Byzantine Fault Tolerance.
  • LPT: Lightweight Pooling Transformer for Object Detection.
  • Semantic-Enhanced Attack Scenario Reconstruction Using Property Graph and Modular Ontologies.
  • Deep Forgery Detection Based on Staged Differential Feature Enhancement.
  • Secure Trust-MM: A Multimodal Large Model Framework with Game Theoretic Adversarial Defense for Trustworthy Cybersecurity.
  • Membership Inference Attack against Machine Learning based on Calibrated Frobenius Norm.
  • Neural Networks.
  • A Novel Fuzzy Cross Efficiency DEA Model Based on Prospect Theory.
  • Two-Sided Preference-Aware Dynamic Ride Sharing: Optimizing Driver Income and Passenger Costs.
  • Fine-Grained Sentiment Analysis of Microblogs Based on Multidimensional Interactive Attention Sentiment Guidance.
  • RB-RAG: Intelligent Question Answering System of Rock Burst Knowledge Based on Retrieval-Augmented Generation.
  • Side-Channel Hardware Trojan Detection Based on LSTM-TCN Network.
  • Efficient Grouped Full Convolution Network for Semantic Segmentation.
  • Spectral Topology Meets Local Geometry: A Dual-Block Graph Transformer with Provable Expressive Power.
  • Enhancing Domain Adaptation in Speaker Verification via Partially Shared Adversarial Network.
  • Path-Aware Graph Neural Network for Link Prediction in Latent Heterogeneous Graphs.
  • Multi-Dimensional AGV Path Planning in 3D Warehouses Using Ant Colony Optimization and Advanced Neural Networks.
  • Similarity-based Weighted Fusion and Token Retention Strategy for Efficient Vision Transformers.
  • Autonomous Decision-making Spiking Neural Network based on Evidence Accumulation.
  • Cross-Modal Shared Prompts for Aspect-Based Multimodal Sentiment Analysis.
  • Spatio-Temporal Synergistic Sparse Transformer: Algorithm-Hardware Ecosystem Co-Design for Efficient Multimodal Learning.
  • CSSCNet: Combining Square and Strip Convolution for Remote Sensing Object Detection.
  • KAGAT: Kolmogorov-Arnold Graph Attention Network.
  • A Learnable Threshold and Resistance Spiking Neuron for Efficient Spiking Neural Networks Training.
  • Negative Sample optimization and Bias Mitigation for Robust Visual Question Answering.
  • Point-Level Enhancement and Background Suppression Network for Point Supervised Temporal Action Localization.
  • BiG-Mamba: Bidirectional Graph and Mamba Modeling for Multivariate Time Series Forecasting.
  • Multimodal Collaborative Attention Fusion Network for Remote Sensing Visual Question Answering.
  • Occlusion-Aware Self-Supervised Monocular Depth Estimation for Weak Texture Endoscopic Images.
  • KC-UNet++: A Thymic Tumor Segmentation Method Based on Kolmogorov-Arnold Network and CBAM.
  • MQBN: Data-Free Mixed-Precision Quantization via Batch Normalization Statistics.
  • A Global-Local Interactive Multimodal Sentiment Analysis Framework with Adaptive Attention and Multi-Scale Feature Enhancement.
  • Anomaly-Driven Defense: Mitigating Bit-Flip Attacks in Deep Neural Networks via Runtime Parameter Clipping.
  • GlintNet: A Lightweight Global-Local Integration Network with Spatial Channel Mixed Attention for ReID.
  • TGM: An Industrial Sensor Network Anomaly Detection.
  • GNNCacheInfer: Efficient Graph Neural Network Inference via Embedding Cache.
  • GatE2R: A novel method for Cement Industry Information Extraction.
  • Fraud Detection on Multi-Relational Graphs via Semantic Extraction and Topological Enhancement.
  • YOLOv8-LSI: Enhanced Weed Detection in Agricultural Fields Using Large Convolutional Kernels and Dimensionality-Expanded Channel Attention.
  • YOLO-MobileNet: A Lightweight Model for Surgical Instrument Detection.
  • A Lightweight Multi-Modal Dynamic Fusion Network Based Method for Person Re-Identification in Videos.
  • A hybrid model based on CNN, Transformer and GRU for SOC estimation of lithium-ion batteries. .-Enhancing Session-Based Social Recommendation with Multi-Interest Global Popularity Preferences.
  • Frontiers of Spiking Neural Network Encoding Techniques: A Comprehensive Review.

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