ManiTrend: Bridging Future Generation and Action Prediction with 3D Flow for Robotic Manipulation.

Forecasting short-term passenger flow via CBGC-SCI: an in-depth comparative study on Shenzhen Metro.

Deep learning-based time series forecasting.

Neural Memory Self-Supervised State Space Models With Learnable Gates.

Behavior-Driven Planning of Electric Truck Charging Infrastructure for Intercity Operations.

In-Depth Insights into the Application of Recurrent Neural Networks (RNNs) in Traffic Prediction: A Comprehensive Review.

Secure Data Sharing in V2N Based on a Privacy-Preserving Identify-Based Broadcast Proxy Re-Encryption Plus Scheme.

Image Classification on Hypersphere Loss.

Predicting social media users' indirect aggression through pre-trained models.

PRNet: Parallel Refinement Network With Group Feature Learning for Salient Object Detection in Optical Remote Sensing Images.

CMBEE: A constraint-based multi-task learning framework for biomedical event extraction.

A Prompt Refinement-based Large Language Model for Metro Passenger Flow Forecasting under Delay Conditions.

DelayPTC-LLM: Metro Passenger Travel Choice Prediction under Train Delays with Large Language Models.

D2Vformer: A Flexible Time Series Prediction Model Based on Time Position Embedding.

TheaterGen: Character Management with LLM for Consistent Multi-turn Image Generation.

Weakly Supervised Exaggeration Transfer for Caricature Generation With Cross-Modal Knowledge Distillation.

Combination of the CNN with an amended version of a cooking training-based optimizer for diagnosing anterior cruciate ligament tear.

l0-norm based Short-term Sparse Portfolio Optimization Algorithm Based on Alternating Direction Method of Multipliers.

Robust blind space-time adaptive processing for measurement error mitigation in GNSS receivers.

A CNN-LSTM Car-Following Model Considering Generalization Ability.

Explorers at #SMM4H 2023: Enhancing BERT for Health Applications through Knowledge and Model Fusion.

When Cyber Aggression Prediction Meets BERT on Social Media.

Multi-Graph Convolutional-Recurrent Neural Network (MGC-RNN) for Short-Term Forecasting of Transit Passenger Flow.

Occlusion and Deformation Handling Visual Tracking for UAV via Attention-Based Mask Generative Network.

Nowcasting influenza-like illness (ILI) via a deep learning approach using google search data: An empirical study on Taiwan ILI.

Socio-Ecological Vulnerability in Aba Prefecture, Western Sichuan Plateau: Evaluation, Driving Forces and Scenario Simulation.

Short-Term Nationwide Airport Throughput Prediction With Graph Attention Recurrent Neural Network.

Multi-Object Detection of Chinese License Plate in Complex Scenes.

Characterizing the Connectivity of Railway Networks.

Modeling and Analyzing Modeling and Analyzing Impact Factors of Metro Station Ridership: An Approach Based on a General Estimating Equation Factors Influencing Metro Station Ridership: An Approach based on General Estimating Equation.

Dynamic Evolution Analysis of Metro Network Connectivity and Bottleneck Identification: From the Perspective of Individual Cognition.

Removal of Dibenzyl Disulfide (DBDS) by Polyethylene Glycol Sodium and Its Effects on Mineral Insulating Oil.