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Hierarchical fault diagnosis and health monitoring in multi-platform space systems
Clustering sensor data for autonomous terrain identification using time-dependency
Data mining for quality control: Burr detection in the drilling process
A novel self-organizing constructive neural network for estimating aircraft trip fuel consumption
Application of machine learning to characterize uneconomical managed lane choice behaviour
Robot-human-learning for robotic picking processes
A machine learning model to predict runway exit at Vienna airport
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
Deep reinforcement learning for the optimal placement of cryptocurrency limit orders
Hub-and-spoke network design under congestion: A learning based metaheuristic
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
Generating bunkering statistics from AIS data: A machine learning approach
Machine learning in information systems - a bibliographic review and open research issues