2 citations · 4 across the 3 of their papers we have counts for
3 papers · 1 filter
Machine Learning based Simulation Optimisation for Trailer Management
Dylan Rijnen, Jason Rhuggenaath, Paulo R. de O. da Costa +1
In many situations, simulation models are developed to handle complex real-world business optimisation problems. For example, a discrete-event simulation model is used to simulate…
Remaining Useful Lifetime Prediction via Deep Domain Adaptation
Paulo R. de O. da Costa, Alp Akcay, Yingqian Zhang +1
In Prognostics and Health Management (PHM) sufficient prior observed degradation data is usually critical for Remaining Useful Lifetime (RUL) prediction. Most previous data-driven…
Data-driven Policy on Feasibility Determination for the Train Shunting Problem
Paulo R. de O. da Costa, J. Rhuggenaath, Y. Zhang +3
Parking, matching, scheduling, and routing are common problems in train maintenance. In particular, train units are commonly maintained and cleaned at dedicated shunting yards. The…