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Traveler compliance with advice: A Bayesian utilitarian perspective
A novel CNN-DDPG based AI-trader: Performance and roles in business operations
A novel self-organizing constructive neural network for estimating aircraft trip fuel consumption
Minimizing the total completion time of an urban delivery problem with uncertain assembly time
Application of machine learning to characterize uneconomical managed lane choice behaviour
A machine learning model to predict runway exit at Vienna airport
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
Real-time demand forecasting for an urban delivery platform
Online operations strategies for automated multistory parking facilities
Development of a two-stage ship fuel consumption prediction and reduction model for a dry bulk ship
A stochastic scheduling, allocation, and inventory replenishment problem for battery swap stations