71 citations · 76 across the 6 of their papers we have counts for
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cs.LG2019
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…
cs.AI2019★ 2 cited
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…