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Estimating wildlife strike costs at US airports: A machine learning approach
Machine learning approach to ship fuel consumption: A case of container vessel
Exploring nonlinear effects of the built environment on ridesplitting: Evidence from Chengdu
Examining optoelectronics in machine vision and applications in industry 4.0
Examining threshold effects of built environment elements on travel-related carbon-dioxide emissions
Non-linear associations between the built environment and the physical activity of children
Gaussian process regression for forecasting battery state of health
Examining nonlinear and interaction effects of multiple determinants on airline travel satisfaction
Nonlinear effects of the built environment on metro-integrated ridesourcing usage
Modeling time-of-day car use behavior: A Bayesian network approach
Using explainable machine learning to understand how urban form shapes sustainable mobility
A Multiagency Long Short-Term Model Beamforming Prediction Model for Cellular Vehicle to Everything
Machine learning estimates of plug-in hybrid electric vehicle utility factors
Spatial disparity of individual and collective walking behaviors: A new theoretical framework
Gender differences in active travel among older adults: Non-linear built environment insights
Illustrating nonlinear effects of built environment attributes on housing renters’ transit commuting
A data-driven dynamics simulation framework for railway vehicles
Sharing behavior in ride-hailing trips: A machine learning inference approach
Small-amplitude bogie hunting identification method for high-speed trains based on machine learning
Friction-adaptive stochastic nonlinear model predictive control for autonomous vehicles
Machine Learning Approach for Constructing Wet Clutch Torque Transfer Function
Joint associations of environmental and sociodemographic attributes with active and sedentary travel
Exploring user satisfaction and improvement priorities in electric vehicle segments
Radar Waveforms and Their Mathematical Models
Revisiting residential self-selection and travel behavior connection using a double machine learning
Vehicular Networks and Autonomous Driving Cars
Exploring nonlinear built environment effects on driving with a mixed-methods approach
A Real-World Data-Driven approach for estimating environmental impacts of traffic accidents
Machine learning approaches for detection of robot errors in human brain signals
A time series clustering based approach for construction of real-world drive cycles
Exploring the nonlinear effects of built environment characteristics on customized bus service
Analysis and estimation of energy consumption of electric buses using real-world data
Detection & Tracking of Multi-Scenic Lane Based on Segnet-LSTM Semantic Split Network
An Artificial Neural Network Approach to Predict Rotor-Airframe Acoustic Waveforms