A.A. Petrov

2026

1. Development and implementation of a neural network algorithm for modeling the propagation of electromagnetic waves Electromagnetic Waves and Electronic Systems, No. 4, 2026 pp. 94-103

2025

1. Application of parallel computing technologies on local hardware for solving artificial intelligence and nonlinear dynamics problems Nonlinear World, No. 4, 2025 pp. 30-35

2024

1. Using the capabilities of EfficientNetB0 machine learning model to analyze X-ray images in the diagnosis of tuberculosis Neurocomputers, No. 5, 2024 pp. 41-48
2. Analysis of models and development of a software package for assessing the impact of vibration effects of vehicles on urban infrastructure Nonlinear World, No. 1, 2024 pp. 5-14
3. Development of instrumental and methodological support for assessing the technical condition of transport system nodes using neural networks, fuzzy and stochastic modeling algorithms Neurocomputers, No. 2, 2024 pp. 13-22

2023

1. Design of a data generation model for solving classification problems in the diagnosis of transport system malfunctions Nonlinear World, No. 3, 2023 pp. 16-26
2. Analysis of the instrumental support for heterogeneous computing using neural network modeling Neurocomputers, No. 2, 2023 pp. 21-29

2022

1. Development of algorithmic support for modeling nonlinear control switching systems Nonlinear World, No. 1, 2022 pp. 5-13
2. Application of machine learning methods in problems of neural network modeling of controlled technical systems Neurocomputers, No. 1, 2022 pp. 25-35

2021

1. Development of the instrumental support of the domestic computing platform "Elbrus 801-PC" in the problems of neural network modeling of nonlinear dynamic systems Nonlinear World, No. 1, 2021 pp. 15-28

2018

1. The structure of the software package for modeling of technical systems in conditions of switching functioning modes Electromagnetic Waves and Electronic Systems, No. 4, 2018 pp. 61-64

2017

1. Development of approach to the solving of problems of control motion for the technical systems modeled by differential inclusions Information-measuring and Control Systems, No. 4, 2017 pp. 64-72