Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties
Learning curve analysis of concentrated photovoltaic systems
Input-Decoupled Q-Learning for Optimal Control
Learning Framework for Robust Obstacle Detection, Recognition, and Tracking
A novel passenger flow prediction model using deep learning methods
Scour Depth Evaluation of a Bridge with a Complex Pier Foundation
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
A Machine Learning-Based Design Representation Method for Designing Heterogeneous Microstructures
Children's science learning: A core skills approach
Student conceptions of feedback: Impact on self‐regulation, self‐efficacy, and academic achievement
Play or learn: European‐American and Chinese kindergartners' perceptions about the conflict
Modelling roughness of road profiles on parallel tracks using roughness indicators
Driver Distraction Detection Using Semi-Supervised Machine Learning
Vehicle Type Classification Using a Semisupervised Convolutional Neural Network
Development of Wave Overtopping Formulas for Inclined Seawalls using GMDH Algorithm
A Deep Learning Strategy For On-Orbit Servicing Via Space Robotic Manipulator
Arguing collaboratively: Argumentative discourse types and their potential for knowledge building
How restudy decisions affect overall comprehension for seventh‐grade students
The Optimal ANN Model for Predicting Bearing Capacity of Shallow Foundations trained on Scarce Data
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
Reliability of Jack-up against Punch-through using Failure State Intelligent Recognition Technique
Blended Instruction Utilizing Mobile Tools in English Teaching at Colleges of Technology
Reusability of the Output of Map-Matching Algorithms Across Space and Time Through Machine Learning
On Developing a Driver Identification Methodology Using In-Vehicle Data Recorders
Visualization of Driving Behavior Based on Hidden Feature Extraction by Using Deep Learning
Modeling of aircraft fuel consumption using machine learning algorithms
Should I stay or should I go? Investigating route switching behavior from revealed preferences data
Clustering Smart Card Data for Urban Mobility Analysis
Personalized and Situation-Aware Multimodal Route Recommendations: The FAVOUR Algorithm
Modeling Human Learning and Cognition Structure: Application to Driver Behavior in Dilemma Zone
The effect of colour on children's cognitive performance