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CNN-assisted Road Sign Inspection on the Computing Continuum
Deep Double Q-Learning Method for CAVs Traffic Signal Control
A hybrid machine learning model for predicting Real-Time secondary crash likelihood
An Exposed Closed-Loop Model forCustomer-Driven Service Assurance Automation
Intelligent characterisation of space objects with hyperspectral imaging
Performance evaluation and prediction of rudders based on machine learning technology
Forecasting road traffic conditions using a context-based random forest algorithm
Predicting weather-induced delays of high-speed rail and aviation in China
Recognition of Customers' Impulsivity from Behavioral Patterns in Virtual Reality
Nonlinear Control of a Ground Vehicle using Data-Driven Dynamic Models
Does Machine Learning reconstruct missing sunspots and forecast a new solar minimum?
Predicting Arrival and Departure Runway Assignments with Machine Learning
Dynamic activity chain pattern estimation under mobility demand changes during COVID-19
A crash severity analysis at highway-rail grade crossings: The random survival forest method
A Hybrid Method for Automotive Entity Recognition
Driver Distraction Detection with a Two-stream Convolutional Neural Network
Gaze Tracking in Semi-Autonomous Grasping
Synthesizing neighborhood preferences for automated vehicles
Optimizing Pipelined Computation and Communication for Latency-Constrained Edge Learning
Sustainable Aviation Operations: Reducing the Impact of Aviation on our Planet
Development & Testing of a Camera-Based Driver Monitoring System
A Recursive Multi-step Machine Learning Approach for Airport Configuration Prediction
Gait Reconstruction from Motion Artefact Corrupted Fabric-Embedded Sensors
Using kinematic driving data to detect sleep apnea treatment adherence
Personalized Driver Workload Estimation in Real-World Driving
Bike-sharing or taxi? Modeling the choices of travel mode in Chicago using machine learning
Machine learning based prediction of rail transit signal failure: A case study in the United States
Model learning for trajectory tracking of robot manipulators
Modeling time-of-day car use behavior: A Bayesian network approach
Investigating an SVM-driven, one-class approach to estimating ship systems condition
Joint Pedestrian Motion State and Device Pose Classification
Forecasting total electron content (TEC) using CEEMDAN LSTM model
Sensitivity Analysis and Optimization for a Trainer Aircraft Configuration