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Application of Machine Learning Methods to Solving Problems of Queuing Theory · Study

WorkApplication of Machine Learning Methods to Solving Problems of Queuing Theory

Vladimir Mironovich Vishnevsky2022

Work2022

Application of Machine Learning Methods to Solving Problems of Queuing Theory

Vladimir Mironovich Vishnevsky

12 citations·0/0 files stored·Communications in computer and information science

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Advanced Queuing Theory Analysis Neural Networks and Applications Simulation Techniques and Applications

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References

2006Queueing Networks and Markov Chains 2019The Theory of Queuing Systems with Correlated Flows 2012Introduction to Queueing Systems with Telecommunication Applications 2016Discrete simulation software ranking — A top list of the worldwide most popular and used tools 2019A Machine Learning Approach to Waiting Time Prediction in Queueing Scenarios 2018Waiting-Time Estimation in Bank Customer Queues using RPROP Neural Networks 2021Polling Systems and Their Application to Telecommunication Networks 2021Performance Evaluation of the Priority Multi-Server System MMAP/PH/M/N Using Machine Learning Methods

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Year2022

Typeother

Published2022-01-01

VenueCommunications in computer and information science

ISSN-L1865-0929

Languageen

Citations12

Files0 public / 0

ShelfAdvanced Queuing Theory Analysis

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doi10.1007/978-3-031-09331-9_24

openalex_workW4285218489

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