- 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 -1/-2 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.