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A data-driven operational model for traffic at the Dallas Fort Worth International Airport
Dynamic Load Identification for Battery Pack Bolt Based on Machine Learning
Main Entrance Tagging based on Intrinsic and Extrinsic Feature Extracted from OSM
A robust machine learning structure for driving events recognition using smartphone motion sensors
Machine Learning Models for Predicting Grinding Wheel Conditions Using Acoustic Emission Features
Learning efficient haptic shape exploration with a rigid tactile sensor array
Using machine learning for direct demand modeling of ridesourcing services in Chicago
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
Classification of Assembly Operations Using Recurrent Neural Networks
A literature review of machine learning algorithms for crash injury severity prediction
A gravity assist mapping for the circular restricted three-body problem using Gaussian processes
Identification of Driver’s Braking Intention in Cut-In Scenarios
Catalyst Design Study of Detailed Reaction Model including Gas Diffusivity into the Washcoat
Reinforcement Learning Technique for Parameterization in Powertrain Controls
A camera self-health-maintenance system based on sensor artificial intelligence
Real-time traffic accidents post-impact prediction: Based on crowdsourcing data
Evaluation of ML-Based Grasping Approaches in the Field of Automated Assembly
Using a Statistical Machine Learning Tool for Diesel Engine Air Path Calibration
A review of the artificial neural network surrogate modeling in aerodynamic design
Predictive Modeling of Aircraft Dynamics Using Neural Networks
The Detection of Visual Distraction using Vehicle and Driver-Based Sensors
Examining optoelectronics in machine vision and applications in industry 4.0
Reinforcement Learning to Train Ms. Pac-Man Using Higher-order Action-relative Inputs
Departure Flight Delay Prediction and Visual Analysis Based on Machine Learning
Neural network based feedback optimal control for pinpoint landers under disturbances
Machine Learning Methods to Improve the Accuracy of Industrial Robots
A machine learning model for predicting noise limits of motor vehicles in UNECE R51 regulations
Semantic Segmentation with High Inference Speed in Off-Road Environments
Remaining Useful Life Prediction of Lithium-ion Battery Based on Data-Driven and Multi-Model Fusion
Aircraft air data system fault detection and reconstruction scheme design
Examining threshold effects of built environment elements on travel-related carbon-dioxide emissions
Lane Change Decision Algorithm Based on Deep Q Network for Autonomous Vehicles
AI-based Wave Prediction in Complex Plasmas
Reinforcement learning for robot control using probability density estimations