11 citations · 39 across the 7 of their papers we have counts for
10 papers
Sequential Deep Learning for Credit Risk Monitoring with Tabular Financial Data
Jillian M. Clements, Di Xu, Nooshin Yousefi +1
Machine learning plays an essential role in preventing financial losses in the banking industry. Perhaps the most pertinent prediction task that can result in billions of dollars i…
Dynamic maintenance policy for systems with repairable components subject to mutually dependent competing failure processes
Nooshin Yousefi, David W. Coit, Zhu Xiaoyan
In this paper, a repairable multi-component system is studied where all the components can be repaired individually within the system. The whole system is inspected at inspection i…
Inspection plan prediction for multi-repairable component systems using neural network
Nooshin Yousefi, Stamatis Tsianikas, Jian Zhou +1
Implementing an appropriate maintenance policy would help us to have a more reliable system and reduce the total costs. In this paper, a dynamic maintenance plan is proposed for re…
The impact of analytical outage modeling on expansion planning problems in the area of power systems
S. Tsianikas, N. Yousefi, J. Zhou +1
Expansion planning problems refer to the monetary and unit investment needed for energy production or storage. An inherent element in these problems is the element of stochasticity…
A storage expansion planning framework using reinforcement learning and simulation-based optimization
S. Tsianikas, N. Yousefi, J. Zhou +2
In the wake of the highly electrified future ahead of us, the role of energy storage is crucial wherever distributed generation is abundant, such as in microgrid settings. Given th…
Dynamic Inspection Planning for Systems with Individually Repairable Components
Nooshin Yousefi, David W. Coit
In this paper a multi-component system is studied where each component can be repaired within the system. We consider that each component is subject to two dependent competing fail…