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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
A reinforcement learning model for personalized driving policies identification
Case-based adaptation for automotive engine electronic control unit calibration
Scour Depth Evaluation of a Bridge with a Complex Pier Foundation
Scour Depth Evaluation of a Bridge with a Complex Pier Foundation
Coordinated Ramp Metering with Equity Consideration Using Reinforcement Learning
Large-Scale Freeway Traffic Flow Estimation Using Crowdsourced Data: A Case Study in Arizona
Predicting Hydrological Drought Alert Levels Using Supervised Machine-Learning Classifiers
Ensemble-based Deep Learning Approach for Performance Improvement of BIM Element Classification
SHapley Additive exPlanations for Explaining Artificial Neural Network Based Mode Choice Models
Development of Wave Overtopping Formulas for Inclined Seawalls using GMDH Algorithm
Development of a global road safety performance function using deep neural networks
Optimization Model of Life Cycle Repair Decisions for Track Network
The Optimal ANN Model for Predicting Bearing Capacity of Shallow Foundations trained on Scarce Data
The Optimal ANN Model for Predicting Bearing Capacity of Shallow Foundations trained on Scarce Data
Seismic Acceleration Estimation Method at Arbitrary Position Using Observations and Machine Learning
Prediction of vehicle reliability performance using artificial neural networks
Reliability of Jack-up against Punch-through using Failure State Intelligent Recognition Technique
Reliability of Jack-up against Punch-through using Failure State Intelligent Recognition Technique
Prediction of Public Bus Passenger Flow Using Spatial–Temporal Hybrid Model of Deep Learning
Net winch design in trawlers, influence of vessel size and fishing ground
Navigational control of underwater mobile robot using dynamic differential evolution approach
Predicting the traction power of metropolitan railway lines using different machine learning models
An optimized metamodel for predicting damage and oil outflow in tanker collision accidents
Using supervised machine learning algorithms in pavement degradation monitoring
Modeling Human Learning and Cognition Structure: Application to Driver Behavior in Dilemma Zone
Automatic clustering-based approach for train wheels condition monitoring
A deep learning method for the prediction of 6-DoF ship motions in real conditions
Research on fault prediction of marine diesel engine based on attention-LSTM
Driver Maneuver Detection and Analysis Using Time Series Segmentation and Classification
Structural Damage Detection using Deep Convolutional Neural Network and Transfer Learning
Structural Damage Detection using Deep Convolutional Neural Network and Transfer Learning
Vibration-based Damage Detection in Bridges via Machine Learning
Vibration-based Damage Detection in Bridges via Machine Learning