BSC-DETR: Learning Bilateral and Spatial Constraints for Arch-Aware Tooth Detection and Numbering

A Wind Power Prediction Framework based on Spiking Neural Networks by Integrating Multidimensional Meteorological Parameters and Temporal Features

Multi-perception Mining Global Environment Data with Effect and Mechanism on Climate Based on Time and Space Scales

DAGC-T: DAG Consensus Traceability Mechanism for Data Assets

MSTGN: Multimodal Spatio-Temporal Graph Neural Network for Telecommunication Customer Churn Prediction

Multi-modal Cancer Survival Prediction with Attention-based Graph Neural Networks and Embedded Feature Selection

Knowledge Graph Completion via Multi-hop Neighborhood Perception and Multi-scale Fusion for Multi-modal Scenarios

Adaptive Time-Frequency Modeling with Energy Priors for Multivariate Time Series Anomaly Detection

IceNet-MST: A Multivariate Spatiotemporal Attention Framework for Pan-Arctic Sea Ice Thickness Prediction

Reviewer Recommendation for Technology Project Groups Incorporating Industry Features

Predicting Used Car Prices: A Time-Aware Multi-Scale Learning Approach Based on TabNet-DCN

AGFNet: Adaptive Gated Fusion of Dual-Source Doppler Features for FMCW Radar-Based Human Motion Analysis and Prediction

STWPN: A Spatio-Temporal Graph Neural Network for Water Level Prediction in Underground Pipeline Networks

SA-MoE: Spectral-Aware Mixture of Experts for Long-term Time Series Forecasting

Microplastic Identification Based on FNO Frequency-Domain Global Learning and MAML Few-Shot Adaptation

MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction