Computing and Pattern Recognition : 14th International Conference, ICCPR 2025, Beijing, China, October 24-26, 2025, Revised Selected Papers, Part II

This book constitutes the refereed post-conference proceedings of the 14th International Conference on Nature of Computing and Pattern Recognition, ICCPR 2025, held in Beijing, China, during October 24–26, 2025

The 81 full papers presented in this volume were carefully reviewed and selected from 205 submissions. The papers are organized in the following topical sections:Pattern Recognition; Image Models and Image Reconstruction; Image Enhancement and Image Segmentation; Intelligent Detection Models and Algorithms; Image-Based System Anomaly Detection Technology and Engineering Applications; Key Technologies of Computer Vision and Image Processing Based on Multimodal Fusion.

.- Computer Models and Optimization Computation.

.- Quodar: A Query-Aware, Partition-Based Framework for Out-of-Distribution Approximate Nearest Neighbor Search.

.- PVHD: Research and Application of PV Query Algorithm Based on Hybrid Retrieval and Dynamic Truncation Mechanism.

.- Spatio-Temporal Hybrid Network with TCN and Attention for City Temperature Forecasting.

.- Offload-DMSS: Heterogeneous Training with Limited CPU Memory Bandwidth by Direct Model State Swap.

.- Dynamic Learning: A Mathematical Framework for Autonomous Knowledge Acquisition in Artificial Intelligence.

.- Data Models and Data Computation.

.- Attention Spiking U-Net forWeather Forecasting.

.- Dynamic Modeling of Climate Risks via Feature Entropy Weight Dimensionality Reduction and Federated Spatiotemporal Clustering.

.- Adaptive Dataset Quantization: A New Direction for Dataset Pruning.

.- Sustained Evolving Co-occurrence Pattern Mining.

.- Particle Swarm Optimization Algorithm for TSP Based on Dynamic Multi-Head Attention Aggregation.

.- A Scalable Inductive Graph Neural Network for Money Laundering Detection.

.- Machine Learning and Deep Learning Models.

.- Pair Trading Strategy Based on Machine Learning and Deep Learning Models.

.- SSDIR: A Novel Semi-Supervised Approach for Data Imbalanced Regression.

.- A Smoothing Interval Neuro-Fuzzy Learning Algorithm Based on First-Order Takagi–Sugeno-Kang System.

.- Machine Learning Methods to Analyze the Relationship Between Dietary Trace Elements and Kidney Stones: from NHANES 2007-2020.

.- Lightweight Machine Learning Framework for Latency Prediction in Automotive Communication Networks.

.- Balanced Clustering-Driven Non-negative Spectral Learning for Unsupervised Feature Selection.

.- Advance Deep Learning Method Selection for Bci: A Comparison Study Across Different Applications.

.- PHRF-Net: An Interpretable Deep Learning Approach for Early Prediction of Hypoxemic Respiratory Failure After Cardiac Surgery.

.- Solving the Traveling Salesman Problem Using Graph Attention and Reinforcement Learning.

.- Large-Scale Language Models and Multimodal Semantic Analysis.

.- Inductive Knowledge Graph Reasoning Algorithm Based on Semantic Bridging and Gated Aggregation.

.- News Video Captioning with Asynchronous Visual and Audio Information.

.- Design and Implementation of Literature Information Mining and Analysis Tools Based on Large Language Models.

.- Study on the Causes and Platform-Specific Evolutionary Mechanisms of Negative Social Public Opinion.

.- Automated Multi-dimensional English Translation Evaluation via LLMs: From Tool Prototyping to Classroom Integration.

.- A Multi-Granularity Text Matching Method Based on Chinese Linguistic Features.

.- Design and Implementation of Story Creation Software Based on Large Language Models.

.- Informative and Coherent: Plug-and-Play Incorrect Knowledge Rejection for Knowledge-Grounded Dialog Generation.

.- Fault Detection and Security Analysis in Complex Systems.

.- A Lightweight Method for Detecting the Behavior of Electric Bicycle Entering Elevators Based on Deformation Multi-Scale Collaboration.

.- Research and Development of Offline Circuit Breaker Status Detection Based on Deep Learning and ONNX.

.- Power Grid Anomaly Detection Based on Transformer Architecture with Sparse Attention and Self-Supervised Learning.

.- Battery Remaining Service Life Prediction Based on Lstm-Wbo Method and Shapely Value.

.- Fault Root Cause Analysis via Adaptive Chain of Graph Reasoning in Wireless Networks.

.- Research on Urban Traffic Accident Risk Prediction Method Based on Graph Neural Network.

.- Emerging Network Technologies and Signal Analysis.

.- Robust Compressed Sensing Analysis and Solution Based on ℓ1/ℓ2 Model.

.- A Novel Indoor Intelligent Localization Strategy Based on KPCA and CPO-SVR Technology.

.- Interpreting Accent Classification via Attribution-Based Analysis and Clustering of Time-Frequency Patterns.

.- Fourier Transform Profilometry Based on Adaptive Gaussian Filter.

.- Identifying DDoS Attacks in-Kernel via eBPF/XDP and Knowledge Distillation.

.- How the Graph Construction Technique Shapes Performance in IoT Botnet Detection: Insights from Graph Attention Networks.

.- Structure-Guided Contrastive Signal Construction for Knowledge Graph Embedding.

.- ResLAT: A Hybrid Neural Network for Continuous Hand Movement Decoding in Intracortical Brain-Computer Interfaces.

.- AnesthesiaGAN: Frequency-Aware EEG Augmentation for Improved Anesthesia Depth Prediction.

.- A Domain Adaptive Dual-Teacher Network for Sound Event Detection.