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Maschinelles Lernen
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A time series clustering based approach for construction of real-world drive cycles
Built environment’s nonlinear effects on mode shares around BRT and rail stations
Clustering sensor data for autonomous terrain identification using time-dependency
Data mining for quality control: Burr detection in the drilling process
Deep reinforcement learning for the optimal placement of cryptocurrency limit orders
Designing a feature selection method based on explainable artificial intelligence
Development of a two-stage ship fuel consumption prediction and reduction model for a dry bulk ship
Driving the environmental extra mile – Car sharing and voluntary carbon dioxide offsetting
Environmental screening model of driving behavior for an electric bus entering and leaving stops
Estimating urban freight flow using limited data: The case of Delhi, India
Estimating wildlife strike costs at US airports: A machine learning approach
Examining active travel behavior through explainable machine learning: Insights from Beijing, China
Examining nonlinear and interaction effects of multiple determinants on airline travel satisfaction
Examining threshold effects of built environment elements on travel-related carbon-dioxide emissions