Dynamic Subclass-Balancing Contrastive Learning for Long-Tail Pedestrian Trajectory Prediction With Progressive Refinement.

Real-Time Pedestrian Crossing Anticipation Based on an Action-Interaction Dual-Branch Network.

Automated molecular structure segmentation from documents using ChemSAM.

Hierarchical Coupling Motion Control of Distributed Vehicle Considering Vehicle Posture.

A Multi-Task Learning Network With a Collision-Aware Graph Transformer for Traffic-Agents Trajectory Prediction.

DPCIAN: A Novel Dual-Channel Pedestrian Crossing Intention Anticipation Network.

Goal-Guided Graph Attention Network with Interactive State Refinement for Multi-Agent Trajectory Prediction.

Intelligent Cockpit for Intelligent Connected Vehicles: Definition, Taxonomy, Technology and Evaluation.

Optimization on parameters of knee airbag considering driver's instinctive response.

Driver's instinctive response and it's influence of lower extremity injury.

A robust and real-time lane detection method in low-light scenarios to advanced driver assistance systems.

Meta-IRLSOT++: A meta-inverse reinforcement learning method for fast adaptation of trajectory prediction networks.

SGCL: Spatial guided contrastive learning on whole-slide pathological images.

Holistic transformer: A joint neural network for trajectory prediction and decision-making of autonomous vehicles.

Driver Identification Using Deep Generative Model With Limited Data.

Trajectory Prediction Neural Network and Model Interpretation Based on Temporal Pattern Attention.

Multistate time series imputation using generative adversarial network with applications to traffic data.

Effect of ZrS₂ load single/dual-atom catalysts on the hydrogen evolution reaction: A first-principles study.

Driver State Monitoring Technology for Conditionally Automated Vehicles: Review and Future Prospects.

Context-Aware Prompt Tuning for Vision-Language Model with Dual-Alignment.

CIEM: Contrastive Instruction Evaluation Method for Better Instruction Tuning.

Vehicle trajectory prediction considering aleatoric uncertainty.

Monocular 3-D Vehicle Detection Using a Cascade Network for Autonomous Driving.

Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy.

The Impact of the COVID-19 Pandemic and the Importance of Telemedicine in Managing Acute ST Segment Elevation Myocardial Infarction Patients: Preliminary Experience and Literature Review.

Internet of Things-Enabled Crop Growth Monitoring System for Smart Agriculture.

Cost-sensitive semi-supervised deep learning to assess driving risk by application of naturalistic vehicle trajectories.

End-to-End Automated Lane-Change Maneuvering Considering Driving Style Using a Deep Deterministic Policy Gradient Algorithm.

Driver's Preview Modeling Based on Visual Characteristics through Actual Vehicle Tests.

A translational pathway of deep learning methods in GastroIntestinal Endoscopy.

Traffic Density Recognition Based on Image Global Texture Feature.

Research on agricultural monitoring system based on convolutional neural network.

BTSDN: BGP-Based Transition for the Existing Networks to SDN.

Control mode switching strategy for ACC based on intuitionistic fuzzy set multi-attribute decision making method.

High-Speed All-Optical Encryption and Decryption Based on Two-Photon Absorption in Semiconductor Optical Amplifiers.

A west-east bridge based SDN inter-domain testbed.

Networking as a Service: a Cloud-based Network Architecture.