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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
Date Estimation in the Wild Dataset
Scour Depth Evaluation of a Bridge with a Complex Pier Foundation
Scour Depth Evaluation of a Bridge with a Complex Pier Foundation
Evolutionary Computation Methods for Helicopter Loads Estimation
Coordinated Ramp Metering with Equity Consideration Using Reinforcement Learning
Large-Scale Freeway Traffic Flow Estimation Using Crowdsourced Data: A Case Study in Arizona
Ensemble-based Deep Learning Approach for Performance Improvement of BIM Element Classification
Predicting Hydrological Drought Alert Levels Using Supervised Machine-Learning Classifiers
Improved classification of surface defects for quality control of car body panels
SHapley Additive exPlanations for Explaining Artificial Neural Network Based Mode Choice Models
Optimization Model of Life Cycle Repair Decisions for Track Network
Development of Wave Overtopping Formulas for Inclined Seawalls using GMDH Algorithm
Prediction of vehicle reliability performance using artificial neural networks
Development of a global road safety performance function using deep neural networks
Seismic Acceleration Estimation Method at Arbitrary Position Using Observations and Machine Learning
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
Net winch design in trawlers, influence of vessel size and fishing ground
Prediction of Public Bus Passenger Flow Using Spatial–Temporal Hybrid Model of Deep Learning
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
Modeling Human Learning and Cognition Structure: Application to Driver Behavior in Dilemma Zone
Navigational control of underwater mobile robot using dynamic differential evolution approach
Predicting the traction power of metropolitan railway lines using different machine learning models
Using supervised machine learning algorithms in pavement degradation monitoring
Driver Maneuver Detection and Analysis Using Time Series Segmentation and Classification
An optimized metamodel for predicting damage and oil outflow in tanker collision accidents
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