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A data-driven Bayesian model for evaluating the duration of detention of ships in PSC inspections
Analyzing changes in travel patterns due to Covid-19 using Twitter data in India
Machine Learning im Cost Engineering des Supply Managements
Machine Learning im Cost Engineering des Supply Managements
Applications of machine learning methods in port operations – A systematic literature review
Using a decision tree to compare rural versus highway motorcycle fatalities in Thailand
Artificial intelligence and machine learning
A machine learning-driven two-phase metaheuristic for autonomous ridesharing operations
Designing a feature selection method based on explainable artificial intelligence
Systematizing the lexicon of platforms in information systems: a data-driven study
Uncovering the identity of Electronic Markets research through text mining techniques
Generating bunkering statistics from AIS data: A machine learning approach
Machine learning in information systems - a bibliographic review and open research issues
Hybrid Electric Vehicle Powertrain Control Based on Reinforcement Learning
Machine learning and deep learning
Estimating urban freight flow using limited data: The case of Delhi, India
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
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
Hub-and-spoke network design under congestion: A learning based metaheuristic
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
Data mining for quality control: Burr detection in the drilling process
Hierarchical fault diagnosis and health monitoring in multi-platform space systems
Clustering sensor data for autonomous terrain identification using time-dependency