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Artificial intelligence and machine learning
Network promoter score (NePS): An indicator of product sales in E-commerce retailing sector
Systematizing the lexicon of platforms in information systems: a data-driven study
Designing a feature selection method based on explainable artificial intelligence
Estimation of daily bicycle traffic using machine and deep learning techniques
Uncovering the identity of Electronic Markets research through text mining techniques
Machine learning and deep learning
Machine learning in information systems - a bibliographic review and open research issues
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
Feature subset selection for predicting the success of crowdfunding project campaigns
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
How restudy decisions affect overall comprehension for seventh‐grade students
An Incremental Framework for Video-Based Traffic Sign Detection, Tracking, and Recognition