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Maschinelles Lernen
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keywords:("Maschinelles Lernen")
Smart Event Forecast for Seaports (SMECS) : Schlussbericht : Projektlaufzeit: 01.09.2017-29.02.2020
Real-time demand forecasting for an urban delivery platform
Generating bunkering statistics from AIS data: A machine learning approach
Machine learning in information systems - a bibliographic review and open research issues
Machine Learning im Cost Engineering des Supply Managements
Using a decision tree to compare rural versus highway motorcycle fatalities in Thailand
Applications of machine learning methods in port operations – A systematic literature review
A novel self-organizing constructive neural network for estimating aircraft trip fuel consumption
Development of a two-stage ship fuel consumption prediction and reduction model for a dry bulk ship
Machine learning and deep learning
Artificial intelligence and machine learning
A data-driven Bayesian model for evaluating the duration of detention of ships in PSC inspections
Estimating urban freight flow using limited data: The case of Delhi, India
Feature subset selection for predicting the success of crowdfunding project campaigns
Analyzing changes in travel patterns due to Covid-19 using Twitter data in India