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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
Scour Depth Evaluation of a Bridge with a Complex Pier Foundation
Vibration-based Damage Detection in Bridges via Machine Learning
A Bayesian Learning Method for Structural Damage Assessment of Phase I IASC-ASCE Benchmark Problem
Metaheuristic Optimization of Reinforced Concrete Footings
Reduced-order models for aerodynamic applications, loads and MDO
Learning Framework for Robust Obstacle Detection, Recognition, and Tracking
A novel passenger flow prediction model using deep learning methods
A self-learning system for local ramp metering with queue management
Coordinated Ramp Metering with Equity Consideration Using Reinforcement Learning
Gaussian process regression for forecasting battery state of health
Machine-Learning-Augmented Predictive Modeling of Turbulent Separated Flows over Airfoils
An Incremental Framework for Video-Based Traffic Sign Detection, Tracking, and Recognition
User Association for Load Balancing in Vehicular Networks: An Online Reinforcement Learning Approach
Should I stay or should I go? Investigating route switching behavior from revealed preferences data
Should I stay or should I go? Investigating route switching behavior from revealed preferences data
Reusability of the Output of Map-Matching Algorithms Across Space and Time Through Machine Learning
Personalized and Situation-Aware Multimodal Route Recommendations: The FAVOUR Algorithm
Visualization of Driving Behavior Based on Hidden Feature Extraction by Using Deep Learning
Clustering Smart Card Data for Urban Mobility Analysis
On Developing a Driver Identification Methodology Using In-Vehicle Data Recorders
Robust Stereo Data Cost With a Learning Strategy
Study of Automatic Anomalous Behaviour Detection Techniques for Maritime Vessels
Traffic Sign Recognition via Multi-Modal Tree-Structure Embedded Multi-Task Learning