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Introduction to the Virtual Collection on Machine Learning in Aerospace
Innovation Paths for Machine Learning in Robotics
Lithological mapping of Nidar ophiolite complex, Ladakh using high-resolution data
Grasping learning, optimization, and knowledge transfer in the robotics field
Estimating wildlife strike costs at US airports: A machine learning approach
Structured Prediction for CRiSP Inverse Kinematics Learning with Misspecified Robot Models
On combining Big Data and machine learning to support eco-driving behaviours
Predicting the global structure of indoor environments: A constructive machine learning approach
GIS-based ensemble soft computing models for landslide susceptibility mapping
Modeling and predicting vehicle accident occurrence in Chattanooga, Tennessee
Traffic speed prediction for intelligent transportation system based on a deep feature fusion model
Reinforcement Learning for Robotic Grasping and Manipulation: A Review
Traffic campaigns and overconfidence: An experimental approach
Sunspot cycle prediction using Warped Gaussian process regression
Keep it simple stupid! A non-parametric kernel regression approach to forecast travel speeds
An explainable machine learning approach to improve take-off time predictions
Machine learning approach to ship fuel consumption: A case of container vessel
Activity Recognition with Wearable Sensors on Loose Clothing
Prediction of aircraft performances based on data collected by air traffic control centers
Scour Depth Evaluation of a Bridge with a Complex Pier Foundation
Scour Depth Evaluation of a Bridge with a Complex Pier Foundation
Bridges across borders: A clustering approach to support EU regional policy
Federated learning on the road autonomous controller design for connected and autonomous vehicles
A data-driven decision support system for service completion prediction in last mile logistics
Non-intrusive reduced-order modeling for fluid problems: A brief review
Eluding Soot for Better Environment Using Machine Learning
Exploring nonlinear effects of the built environment on ridesplitting: Evidence from Chengdu
Machine learning algorithms in ship design optimization
Factors impacting bike crash severity in urban areas
Using machine learning for direct demand modeling of ridesourcing services in Chicago
Learning efficient haptic shape exploration with a rigid tactile sensor array
A random forest algorithm for nowcasting of intense precipitation events
A data-driven operational model for traffic at the Dallas Fort Worth International Airport