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Estimation of daily bicycle traffic using machine and deep learning techniques
A data-driven travel mode share estimation framework based on mobile device location data
Predicting disruptions and their passenger delay impacts for public transport stops
Introducing synthetic pseudo panels: application to transport behaviour dynamics
Input-Decoupled Q-Learning for Optimal Control
Development of Wave Overtopping Formulas for Inclined Seawalls using GMDH Algorithm
A Deep Learning Strategy For On-Orbit Servicing Via Space Robotic Manipulator
The Optimal ANN Model for Predicting Bearing Capacity of Shallow Foundations trained on Scarce Data
Modeling of aircraft fuel consumption using machine learning algorithms
Reliability of Jack-up against Punch-through using Failure State Intelligent Recognition Technique
Structural Damage Detection using Deep Convolutional Neural Network and Transfer Learning
Steady State Frequency Response Design of Finite Time Iterative Learning Control
Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties
Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties