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Adaptive navigation of automated vehicles by image analysis techniques
A fuzzy system for automotive fault diagnosis: fast rule generation and self-tuning
Automotive fault diagnosis - part II: a distributed agent diagnostic system
Lane change intent analysis using robust operators and sparse Bayesian learning
Traffic sign recognition using evolutionary Adaboost detection and forest-ECOC classification
Critical motion detection of nearby moving vehicles in a vision-based driver-assistance system
Clustering sensor data for autonomous terrain identification using time-dependency
Data mining for quality control: Burr detection in the drilling process
A methodology for photometric validation in vehicles visual interactive systems
Modeling time-of-day car use behavior: A Bayesian network approach
Gaussian process regression for forecasting battery state of health
Study of Automatic Anomalous Behaviour Detection Techniques for Maritime Vessels
Examining threshold effects of built environment elements on travel-related carbon-dioxide emissions
Machine learning estimates of plug-in hybrid electric vehicle utility factors
A novel self-organizing constructive neural network for estimating aircraft trip fuel consumption
Application of machine learning to characterize uneconomical managed lane choice behaviour
A machine learning model to predict runway exit at Vienna airport
Machine learning approach to ship fuel consumption: A case of container vessel
Learning efficient haptic shape exploration with a rigid tactile sensor array
Real-time demand forecasting for an urban delivery platform
Development of a two-stage ship fuel consumption prediction and reduction model for a dry bulk ship
Feature subset selection for predicting the success of crowdfunding project campaigns
Potential of machine learning for prediction of traffic related air pollution
Hub-and-spoke network design under congestion: A learning based metaheuristic
Greenhouse gas emission prediction on road network using deep sequence learning
Estimating wildlife strike costs at US airports: A machine learning approach
Exploring nonlinear effects of the built environment on ridesplitting: Evidence from Chengdu
Generating bunkering statistics from AIS data: A machine learning approach
Non-linear associations between the built environment and the physical activity of children
Examining nonlinear and interaction effects of multiple determinants on airline travel satisfaction
Machine learning in information systems - a bibliographic review and open research issues
Spatial disparity of individual and collective walking behaviors: A new theoretical framework
Sharing behavior in ride-hailing trips: A machine learning inference approach
Machine learning and deep learning
A time series clustering based approach for construction of real-world drive cycles
Estimating urban freight flow using limited data: The case of Delhi, India
Nonlinear effects of the built environment on metro-integrated ridesourcing usage
Using explainable machine learning to understand how urban form shapes sustainable mobility
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