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Predicting passenger satisfaction in public transportation using machine learning models
LSTM-oriented Handover Decision-making with SVR-based Mobility Prediction in 5G Vehicular Networks
Local online kernel ridge regression for forecasting of urban travel times
Anwendung des Gesamtkonzeptes am Beispiel des Karosseriebaus
Survey of machine learning techniques in spacecraft control design
A machine learning approach to crater detection from topographic data
Examining nonlinear and interaction effects of multiple determinants on airline travel satisfaction
Recursive Multi-step Machine Learning Approach for Airport Configuration Prediction
Recursive Multi-step Machine Learning Approach for Airport Configuration Prediction
Nonlinear effects of the built environment on metro-integrated ridesourcing usage
Large-Scale Freeway Traffic Flow Estimation Using Crowdsourced Data: A Case Study in Arizona
Reinforcement Learning Based Parking Space Egress for Autonomous Driving
Predictive Model Development Using Machine Learning for Engine Cranktrain System
Predicting cycle-level traffic movements at signalized intersections using machine learning models
BCAS: A Blockchain Model for Collision Avoidance to Prevent Overtaking Accidents on Roads
Prediction of Hybrid Electric Bus Speed Using Deep Learning Method
Vehicle Outer Body Panel Oil Canning Performance Prediction Using Machine Learning
Understanding the Stick Slip Behavior of Plastics and Target Setting: An OEM Perspective
The novel approaches to classify cyclist accident injury-severity: Hybrid fuzzy decision mechanisms
A cognitive robotic ecology approach to self-configuring and evolving AAL systems
Applying Machine Learning Tools for Runway Configuration Decision Support
Synthesizing Data for Autonomous Driving: Multi-Agent Reinforcement Learning Meets Augmented Reality
The usefulness of artificial intelligence for safety assessment of different transport modes
Satellite Pose Estimation Competition 2021: Results and Analyses
No Cost Autonomous Vehicle Advancements in CARLA through ROS
Hybrid Modeling of a Catalyst with Autoencoder Based Selection Strategy
Deep Optimization of Catalyst Layer Composition via Data-Driven Machine Learning Approach