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A Bayesian Learning Method for Structural Damage Assessment of Phase I IASC-ASCE Benchmark Problem
A Bayesian Learning Method for Structural Damage Assessment of Phase I IASC-ASCE Benchmark Problem
A Damage Localization Approach for Rahmen Bridge Based on Convolutional Neural Network
A Deep Learning-Based Procedure for Safety Evaluation of Steel Frames Using Advanced Analysis
A deep learning method for the prediction of 6-DoF ship motions in real conditions
A Machine Learning Tool for Pavement Design and Analysis
An optimized metamodel for predicting damage and oil outflow in tanker collision accidents
A Possibility of AI Application on Mode-choice Prediction of Transport Users in Hanoi
Application of Convolution Neural Network for Adaptive Traffic Controller System
A reinforcement learning model for personalized driving policies identification
Artificial Neural Network–Based Traffic State Estimation Using Erroneous Automated Sensor Data
A state-of-the-art survey of deep learning models for automated pavement crack segmentation
A System Approach to Navy Medical Education and Training. Volume II
Attendance and Security System Based on Building Video Surveillance
Automatic clustering-based approach for train wheels condition monitoring
Case-based adaptation for automotive engine electronic control unit calibration
Coordinated Ramp Metering with Equity Consideration Using Reinforcement Learning
Covariate-Shift Generative Adversarial Network and Railway Track Image Analysis
Data-Driven Approach for the Rapid Simulation of Urban Flood Prediction
Data-driven model for ship encounter intention inference in intersection waters based on AIS data
Date Estimation in the Wild Dataset
Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties
Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties
Deep hybrid learning framework for spatiotemporal crash prediction using big traffic data
Deep Learning-Based Real-Time Crack Segmentation for Pavement Images
Deep learning structure for collision avoidance planning of unmanned surface vessel
Development of a global road safety performance function using deep neural networks