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Traffic Flow Prediction Based on Cooperative Vehicle Infrastructure for Cloud Control Platform
Static Targets Recognition and Tracking Based on Millimeter Wave Radar
Lithological mapping of Nidar ophiolite complex, Ladakh using high-resolution data
Introduction to the Virtual Collection on Machine Learning in Aerospace
Driver Identification Using Multivariate In-vehicle Time Series Data
Modeling and predicting vehicle accident occurrence in Chattanooga, Tennessee
Estimating wildlife strike costs at US airports: A machine learning approach
Dynamic Walking on Stepping Stones with Gait Library and Control Barrier Functions
On Generalizably Improving RANS Predictions of Flow Separation and Reattachment
Prediction of aircraft performances based on data collected by air traffic control centers
Keep it simple stupid! A non-parametric kernel regression approach to forecast travel speeds
Traffic speed prediction for intelligent transportation system based on a deep feature fusion model
Bridges across borders: A clustering approach to support EU regional policy
GIS-based ensemble soft computing models for landslide susceptibility mapping
Machine learning approach to ship fuel consumption: A case of container vessel
Scour Depth Evaluation of a Bridge with a Complex Pier Foundation
Scour Depth Evaluation of a Bridge with a Complex Pier Foundation
Optimal Policies for Platooning and Ride Sharing in Autonomy-Enabled Transportation
Sunspot cycle prediction using Warped Gaussian process regression
Coordinated EV Charging Based on Charging Profile Clustering and Rule-Based Energy Management
Flight Arrival Delay Prediction Using Supervised Machine Learning Algorithms
Reinforcement Learning Enhanced New Energy Vehicle Dynamic Subsidy Strategies
Traffic campaigns and overconfidence: An experimental approach
Auto-Tuning PID Controller on Electromechanical Actuators Using Machine Learning
Intelligent Classification of Automotive Horn Sound Quality
Machine learning algorithms in ship design optimization
An Analysis of ISO 26262: Machine Learning and Safety in Automotive Software
An explainable machine learning approach to improve take-off time predictions
Shipping market forecasting by forecast combination mechanism
An Auto-Encoder Based TinyML Approach for Real-Time Anomaly Detection
A data-driven decision support system for service completion prediction in last mile logistics