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Maschinelles Lernen
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Smart Event Forecast for Seaports (SMECS) : Schlussbericht : Projektlaufzeit: 01.09.2017-29.02.2020
Smart Event Forecast for Seaports (SMECS) : Schlussbericht : Projektlaufzeit: 01.09.2017-29.02.2020
Advanced driver assistance system supporting routing and navigation for fully electric vehicles
Machine Learning im Cost Engineering des Supply Managements
Machine Learning im Cost Engineering des Supply Managements
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
The Causality for Climate Challenge
AI-based Wave Prediction in Complex Plasmas
Learning efficient haptic shape exploration with a rigid tactile sensor array
Examining threshold effects of built environment elements on travel-related carbon-dioxide emissions
Examining optoelectronics in machine vision and applications in industry 4.0
Real-time demand forecasting for an urban delivery platform
Generating bunkering statistics from AIS data: A machine learning approach
Non-linear associations between the built environment and the physical activity of children