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Driver Identification Using Multivariate In-vehicle Time Series Data
An Analysis of ISO 26262: Machine Learning and Safety in Automotive Software
Toward a Framework for Highly Automated Vehicle Safety Validation
Personalized Driver Workload Estimation in Real-World Driving
A data-driven dynamics simulation framework for railway vehicles
Quantification of model uncertainty in RANS simulations: A review
Practical Approaches for Detecting DoS Attacks on CAN Network
Classifying the traffic state of urban expressways: A machine-learning approach
Decisions in Highly Automated Vehicles for Passing Urban Intersections with Support Vector Machines
Using Machine Learning to Guide Simulations Over Unique Samples from Trip Profiles
Vibration-based Damage Detection in Bridges via Machine Learning
Vibration-based Damage Detection in Bridges via Machine Learning
Smart City Traffic Monitoring System Based on 5G Cellular Network, RFID and Machine Learning
Inferring passenger types from commuter eigentravel matrices
Handling Deviation for Autonomous Vehicles after Learning from Small Dataset
Policies to Maximize Fuel Economy of Plug-In Hybrids in a Rental Fleet
Learning Gasoline Direct Injector Dynamics Using Artificial Neural Networks
Predictive Analysis of Alertness Related Features for Driver Drowsiness Detection
Estimating Helicopter Noise Abatement Information with Machine Learning
Cold Chain Management Using Model Based Design, Machine Learning Algorithms and Data Analytics
Computing Remaining Fatigue Life Under Incrementally Updated Loading Histories
Effects of Thermal and Auxiliary Dynamics on a Fuel Cell Based Range Extender
Improving Manufacturing Efficiencies through Industry 4.0 Technologies in Aerospace
Big data machine learning for flight planning
Big data machine learning for flight planning
GPS Guided Autonomous Navigation of a Small Agricultural Robot with Automated Fertilizing System
Dynamic Evolution of Simulated Autonomous Cars in the Open World Through Tactics
Human Emotion Based Interior Lighting Control
Applications of Machine Learning to Flight Dynamics Operations
Controlling LED Based Adaptive Front-Lighting System Using Machine Learning
Decision Tree– and Random Forest–Based Novel Unsteady Aerodynamics Modeling Using Flight Data
Common Proper Orthogonal Decomposition-Based Spatiotemporal Emulator for Design Exploration
Autonomous Flightworthiness Determination for Modular Vertical Lift Vehicles
System Qualities (SQs) Ontology, Tradespace and Affordability (SQOTA), Phase 6: 2017- 2018
Dual-Input/Single-Output Extremum-Seeking System for Jet Control
Traffic speed prediction for intelligent transportation system based on a deep feature fusion model
Keep it simple stupid! A non-parametric kernel regression approach to forecast travel speeds