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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
Hybrid Electric Vehicle Powertrain Control Based on Reinforcement Learning
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
Artificial intelligence and machine learning
Machine learning and deep learning
A data-driven Bayesian model for evaluating the duration of detention of ships in PSC inspections
Feature subset selection for predicting the success of crowdfunding project campaigns
Estimating urban freight flow using limited data: The case of Delhi, India
Deep reinforcement learning for the optimal placement of cryptocurrency limit orders
A machine learning-driven two-phase metaheuristic for autonomous ridesharing operations
Systematizing the lexicon of platforms in information systems: a data-driven study
Designing a feature selection method based on explainable artificial intelligence
Hub-and-spoke network design under congestion: A learning based metaheuristic
Uncovering the identity of Electronic Markets research through text mining techniques
Data mining for quality control: Burr detection in the drilling process
Robot-human-learning for robotic picking processes
Hierarchical fault diagnosis and health monitoring in multi-platform space systems
Clustering sensor data for autonomous terrain identification using time-dependency
A machine learning model to predict runway exit at Vienna airport