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of 234
pro vyhledávání: '"Krass, Dmitry"'
In this paper, we apply a supervised machine-learning approach to solve a fundamental problem in queueing theory: estimating the transient distribution of the number in the system for a G(t)/GI/1. We develop a neural network mechanism that provides a
Externí odkaz:
http://arxiv.org/abs/2407.08765
Autor:
Chapela-Campa, David, Benchekroun, Ismail, Baron, Opher, Dumas, Marlon, Krass, Dmitry, Senderovich, Arik
Business Process Simulation (BPS) is an approach to analyze the performance of business processes under different scenarios. For example, BPS allows us to estimate what would be the cycle time of a process if one or more resources became unavailable.
Externí odkaz:
http://arxiv.org/abs/2303.17463
Publikováno v:
In Computers and Operations Research January 2025 173
Autor:
Chapela-Campa, David, Benchekroun, Ismail, Baron, Opher, Dumas, Marlon, Krass, Dmitry, Senderovich, Arik
Publikováno v:
In Information Systems January 2025 127
In this paper, we analyze how well a machine can solve a general problem in queueing theory. To answer this question, we use a deep learning model to predict the stationary queue-length distribution of an $M/G/1$ queue (Poisson arrivals, general serv
Externí odkaz:
http://arxiv.org/abs/2202.01729
Publikováno v:
INFORMS Transactions on Education; Sep2024, Vol. 25 Issue 1, p55-80, 26p
Publikováno v:
In Discrete Applied Mathematics 15 September 2021 300:36-55
Publikováno v:
In European Journal of Operational Research 16 February 2021 289(1):31-43
Autor:
Elitzur, Ramy1 (AUTHOR) ramy.elitzur@rotman.utoronto.ca, Krass, Dmitry1 (AUTHOR), Zimlichman, Eyal2 (AUTHOR)
Publikováno v:
Health Care Management Science. Jun2023, Vol. 26 Issue 2, p279-300. 22p. 7 Charts, 4 Graphs.
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