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Optimization of ride-sharing with passenger transfer via deep reinforcement learning
Hybrid Electric Vehicle Powertrain Control Based on Reinforcement Learning
A novel self-organizing constructive neural network for estimating aircraft trip fuel consumption
Applications of machine learning methods in port operations – A systematic literature review
Traveler compliance with advice: A Bayesian utilitarian perspective
Dynamic stochastic electric vehicle routing with safe reinforcement learning
A novel CNN-DDPG based AI-trader: Performance and roles in business operations
Credit risk prediction of SMEs in supply chain finance by fusing demographic and behavioral data
Development of a two-stage ship fuel consumption prediction and reduction model for a dry bulk ship
Using a decision tree to compare rural versus highway motorcycle fatalities in Thailand
Prediction of vehicle reliability performance using artificial neural networks
Artificial intelligence and machine learning
A data-driven Bayesian model for evaluating the duration of detention of ships in PSC inspections
This is what’s in store for you: How online social learning affects product positioning
Online model-based reinforcement learning for decision-making in long distance routes
Beyond brain training: Cognitive science and instructional systems design
Social responsibility and cost-learning in dyadic supply chain coordination
Minimizing the total completion time of an urban delivery problem with uncertain assembly time
Feature subset selection for predicting the success of crowdfunding project campaigns
Estimating urban freight flow using limited data: The case of Delhi, India
A stochastic scheduling, allocation, and inventory replenishment problem for battery swap stations
Computers and railroad history: an essay on historical opportunities
Analyzing changes in travel patterns due to Covid-19 using Twitter data in India