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1. Multi-objective adjustment of remaining useful life predictions based on reinforcement learning Dominik Kozjek, Andreja Malus, Rok Vrabič, 2020, published scientific conference contribution Keywords: predictive maintainance, remaining useful life, reinforcement learning |
2. Risk mitigation in a meat supply chain with options of redirection David Bogataj, Domen Hudoklin, Marija Bogataj, Vlado Dimovski, Simon Colnar, 2020, original scientific article Keywords: management, sustainable development, perishable goods, remaining shelf life, risk mitigation, net present value (NPV), rescheduling, closed loop supply chain (CLSC) |
3. Predictive maintenance with Bayesian deep learning David Nabergoj, 2021, master's thesis Keywords: predictive maintenance, remaining useful life, Bayesian deep learning, model evaluation |