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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
Sunspot cycle prediction using Warped Gaussian process regression
Non-intrusive reduced-order modeling for fluid problems: A brief review
Main Entrance Tagging based on Intrinsic and Extrinsic Feature Extracted from OSM
A review of the artificial neural network surrogate modeling in aerodynamic design
Examining threshold effects of built environment elements on travel-related carbon-dioxide emissions
Damage diagnostic technique combining machine learning approach with a sensor swarm
Airport Data Analysis Using Common Statistical Methods and Knowledge-Based Techniques
Exploring the non-linear associations between spatial attributes and walking distance to transit
Alighting stop determination using two-step algorithms in bus transit systems
Forecasting road traffic conditions using a context-based random forest algorithm
Evaluation of machine learning methodologies to predict stop delivery times from GPS data
Optimizing Pipelined Computation and Communication for Latency-Constrained Edge Learning
Pattern recognition in time series for space missions: A rosetta magnetic field case study
Modelling and Simulation of Spacecraft Hardware based on Machine Learning Techniques
Machine learning estimates of plug-in hybrid electric vehicle utility factors
Performance evaluation and prediction of rudders based on machine learning technology
Automated Activity Recognition with Gait Positions Using Machine Learning Algorithms
Bike-sharing or taxi? Modeling the choices of travel mode in Chicago using machine learning
Investigating an SVM-driven, one-class approach to estimating ship systems condition
A Comprehensive Railroad-Highway Grade Crossing Consolidation Model: A Machine Learning Approach
A cooperative machine learning approach for pedestrian navigation in indoor IoT
Real-time accident detection: Coping with imbalanced data
Improving the Explainability of Autonomous and Intelligent Systems with Conversational Interfaces
Improving the Explainability of Autonomous and Intelligent Systems with Conversational Interfaces
Gradient Methods for Solving Stackelberg Games
Human–Robot Interaction Based on Motion and Force Control
Gaussian Processes for improving orbit prediction accuracy
Clustering of paraffin-based hybrid rocket fuels combustion data
A data-driven hybrid control framework to improve transit performance
A novel self-organizing constructive neural network for estimating aircraft trip fuel consumption
Radar Waveforms and Their Mathematical Models
Towards a Robot Simulation Framework for E-waste Disassembly Using Reinforcement Learning
Deep Learning with Semi-Synthetic Training Images for Detection of Non-Cooperative UAVs