| Vol-2278 urn:nbn:de:0074-2278-2 Copyright © 2018 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

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SMARTY 2018
Stochastic Modeling and Applied Research of Technology

### Proceedings of the First International Workshop on Stochastic Modeling and Applied Research of Technology

### Petrozavodsk, Russia, September 21st to 25th, 2018.

Edited by

### Evsey Morozov, Institute of Applied Mathematical Research, Karelian Research Centre of the RAS, Russia
Alexander Rumyantsev, Institute of Applied Mathematical Research, Karelian Research Centre of the RAS, Russia

## Table of Contents

- Preface 1-5
- Simulation of Multiclass Retrial System with Coupled Orbits 6-16
  Evsey Morozov, Taisia Morozova, Ioannis Dimitriou
- MEMS Sensors Bias Thermal Profiles Classification Using Machine Learning 17-28
  Sergey Reginya, Vladislav Nikolaenko, Roman Voronov, Alexei Soloviev, Axel Sikora, Alex Moschevikin
- Asymptotic Properties of Discrete and Picewise Models of Additive Increase Multiplicative Decrease Algorithm 29-37
  Olga Bogoiavlenskaia
- Classical Regeneration Based Approaches for Output Analysis of Multiserver Systems Simulation 38-45
  Irina Peshkova
- Piecewise Linear Approximation of Time Series on the Base of the Weierstrass-Mandelbrot Function 46-53
  Eugene Pitukhin, Liudmila Shchegoleva
- Large Deviations in Retrial Queues with Constant Retrial Rates 54-61
  Ksenia Zhukova
- Upwards Excursion Algorithm Providing the Weight Rankings Coefficients of Universities 62-70
  Olga Zyateva, Eugene Pitukhin, Irina Peshkova
- A Variance Reduction Technique for the Failure Probability Estimation 71-76
  Alexandra Borodina, Oleg Lukashenko
- Stability Analysis and Simulation of an N-Model with Two Interacting Pools 77-89
  Mariia Maltseva, Evsey Morozov
- On Rate Matrix R of G/M/1-type Markov Process 90-95
  Garimella Rama Murthy, Alexander Rumyantsev

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2018-12-14: submitted by Alexander Rumyantsev, metadata incl. bibliographic data published under Creative Commons CC0
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