Mohammad Pirhooshyaran
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A double-max MEWMA scheme for simultaneous monitoring and fault isolation of multivariate multistage auto-correlated processes based on novel reduced-dimension statistics
M Pirhooshyaran, STA Niaki
Journal of Process Control 29, 11-22, 2015
Forecasting, hindcasting and feature selection of ocean waves via recurrent and sequence-to-sequence networks
M Pirhooshyaran, LV Snyder
Ocean Engineering 207, 107424, 2020
Feature engineering and forecasting via derivative-free optimization and ensemble of sequence-to-sequence networks with applications in renewable energy
M Pirhooshyaran, K Scheinberg, LV Snyder
Energy 196, 117136, 2020
Optimization of inventory and distribution for hip and knee joint replacements via multistage stochastic programming
M Pirhooshyaran, LV Snyder
Modeling and optimization: Theory and applications, 139-155, 2017
Quantum Circuit Design Search
M Pirhooshyaran, T Terlaky
arXiv preprint arXiv:2012.04046, 2020
Simultaneous Decision Making for Stochastic Multi-echelon Inventory Optimization with Deep Neural Networks as Decision Makers
M Pirhooshyaran, LV Snyder
arXiv preprint arXiv:2006.05608, 2020
Replacement Policy of Systems with Dependent Components via Integration of Dynamic Programming and Simulated Annealing
H Badakhsh, M Pirhooshyaran, A Eshragh-Jahromi
arXiv preprint arXiv:1907.08689, 2019
Feature Engineering and Forecasting via Integration of Derivative-free Optimization and Ensemble of Sequence-to-sequence Networks: Renewable Energy Case Studies.
M Pirhooshyaran, LV Snyder, K Scheinberg
CoRR, 2019
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