Computing and Pattern Recognition

.- 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.