Recursive logit-based meta-inverse reinforcement learning for driver-preferred route planning
Machine learning and deep learning
Modeling train operation as sequences: A study of delay prediction with operation and weather data
Hub-and-spoke network design under congestion: A learning based metaheuristic
Towards efficient airline disruption recovery with reinforcement learning
Generating bunkering statistics from AIS data: A machine learning approach
Real-time demand forecasting for an urban delivery platform
Online operations strategies for automated multistory parking facilities
Machine learning in information systems - a bibliographic review and open research issues
Optimization of ride-sharing with passenger transfer via deep reinforcement learning
Applications of machine learning methods in port operations – A systematic literature review
Dynamic stochastic electric vehicle routing with safe reinforcement learning
A novel self-organizing constructive neural network for estimating aircraft trip fuel consumption
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
Traveler compliance with advice: A Bayesian utilitarian perspective
Using a decision tree to compare rural versus highway motorcycle fatalities in Thailand
Development of a two-stage ship fuel consumption prediction and reduction model for a dry bulk ship
Artificial intelligence and machine learning
Online model-based reinforcement learning for decision-making in long distance routes
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
Social responsibility and cost-learning in dyadic supply chain coordination
Feature subset selection for predicting the success of crowdfunding project campaigns
Minimizing the total completion time of an urban delivery problem with uncertain assembly time
Estimating urban freight flow using limited data: The case of Delhi, India
A stochastic scheduling, allocation, and inventory replenishment problem for battery swap stations
Analyzing changes in travel patterns due to Covid-19 using Twitter data in India