Weakly-supervised structural component segmentation via scribble annotations.

An Attention-Guided Multistream Feature Fusion Network for Early Localization of Risky Traffic Agents in Driving Videos.

Development of a Causal Model for Improving Rural Seniors' Accessibility: Data Evidences.

Jointly-Learnt Networks for Future Action Anticipation via Self-Knowledge Distillation and Cycle Consistency.

An individualized system of skeletal data-based CNN classifiers for action recognition in manufacturing assembly.

A multi-tasking model of speaker-keyword classification for keeping human in the loop of drone-assisted inspection.

Fusion-GRU: A Deep Learning Model for Future Bounding Box Prediction of Traffic Agents in Risky Driving Videos.

ACF-Net: An Attention-enhanced Co-interactive Fusion Network for Automated Structural Condition Assessment in Visual Inspection.

Human Action Recognition by Discriminative Feature Pooling and Video Segment Attention Model.

A Dynamic Spatial-Temporal Attention Network for Early Anticipation of Traffic Accidents.

A Virtual-Reality-Based Training and Assessment System for Bridge Inspectors With an Assistant Drone.

An Attention-guided Multistream Feature Fusion Network for Localization of Risky Objects in Driving Videos.

A Multitask Deep Learning Model for Parsing Bridge Elements and Segmenting Defect in Bridge Inspection Images.

A Deep Neural Network for Multiclass Bridge Element Parsing in Inspection Image Analysis.

A Simulation Study of Passing Drivers' Responses to the Automated Truck-Mounted Attenuator System in Road Maintenance.

Idle Duration Prediction for Manufacturing System Using a Gaussian Mixture Model Integrated Neural Network for Energy Efficiency Improvement.

Attention-Based Sensor Fusion for Human Activity Recognition Using IMU Signals.

A semi-supervised self-training method to develop assistive intelligence for segmenting multiclass bridge elements from inspection videos.

Crash Report Data Analysis for Creating Scenario-Wise, Spatio-Temporal Attention Guidance to Support Computer Vision-based Perception of Fatal Crash Risks.

Who is Better at Anticipating Traffic Crashes, Human or Artificial Intelligence? A Gaze Data-based Exploratory Study.

Towards explainable artificial intelligence (XAI) for early anticipation of traffic accidents.

A system of vision sensor based deep neural networks for complex driving scene analysis in support of crash risk assessment and prevention.

Track inspection schedule planning with time and safety considerations.

Sliding mode control for consensus tracking of second-order nonlinear multi-agent systems driven by Brownian motion.

A Contract Negotiation Model for Constituent Systems in the Acquisition of Acknowledged System of Systems.

An optimal plan of zero-defect single-sampling by attributes for incoming inspections in assembly lines.

Optimal crude oil procurement under fluctuating price in an oil refinery.

Double-sided price adjustment flexibility with a preemptive right to exercise.