D. Tarkhov

发表

Neural network model of rupture conditions for elastic material sample based on measurements at static loading under different strain rates

I. Bolgov, T. Kaverzneva, S. Kolesova, 2016 .

Neural Network Installation of the Functional Dependence of Mechanical Behavior in the Expansion of Elastic Material from Temperature

T. Kaverzneva, D. Tarkhov, Ekaterina Filchuk, 2021 .

Measurement of the Volume of Gaseous and Liquid Fraction of the Flow of Oil Wells

D. Tarkhov, G. Malykhina, L. Zarour, 2020, 2020 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon).

Construction of an Individual Model of the Deflection of a PVC-Specimen Based on a Differential Equation and Measurement Data

T. Lazovskaya, D. Tarkhov, G. Malykhina, 2020, 2020 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon).

On accuracy estimation of ultrasonic thermometry technique with heated wire method

D. Tarkhov, A. Yukhnev, Y. Gataulin, 2018 .

Examining the Effectiveness of Computer-Supported Collaborative Learning for Language Proficiency Purposes

A. Kobicheva, E. Tokareva, T. Lazovskaya, 2022, Sustainability.

Comparative testing of algorithms for constructing an approximate neural network and finite-element solutions of the model boundary value problem

A. Kobicheva, D. Tarkhov, E. Varshavchik, 2019, Journal of Physics: Conference Series.

Determination of the Temperature Field in the Depth of the Body Measurement With a Thermal Imager on the Surface

D. Tarkhov, Y. Ivanova, A. Yukhnev, 2019 .

Physical and mathematical modeling of pollutant emissions when burning peat

D. Tarkhov, V. Lozhkin, O. Lozhkina, 2017 .

Comparison of two neural network approaches to modeling processes in a chemical reactor

D. Tarkhov, A. Vasilyev, T. Shemyakina, 2019, Thermal Science.

Developing a Model of Increasing the Learners’ Bilingual Professional Capacity in the Virtual Laboratory Environment

Aleksandra I. Dashkina, Ludmila P. Khalyapina, Aleksandra Kobicheva, 2020, Applied Sciences.

Digitalization of medical services for detecting violations of cerebrovascular regulation based on a neural network signal analysis algorithm

D. Tarkhov, G. Malykhina, V. Salnikov, 2020, Proceedings of the 2nd International Scientific Conference on Innovations in Digital Economy: SPBPU IDE-2020.

Neural Network Technique in Boundary Value Problems for Ordinary Differential Equations

Tatiana V. Lazovskaya, Dmitriy A. Tarkhov, Alexander N. Vasilyev, 2016, ISNN.

From Differential Equations to Multilayer Neural Network Models

Dmitriy A. Tarkhov, Galina F. Malykhina, Tatiana T. Kaverzneva, 2019, ISNN.

Neural Network Modeling as a Method for Creating Digital Twins: From Industry 4.0 to Industry 4.1

Tatiana V. Lazovskaya, Galina Malykhina, Dmitriy Tarkhov, 2020, Proceedings of the 2nd International Scientific Conference on Innovations in Digital Economy: SPBPU IDE-2020.

Constructing Physics-Informed Neural Networks with Architecture Based on Analytical Modification of Numerical Methods by Solving the Problem of Modelling Processes in a Chemical Reactor

T. Lazovskaya, D. Tarkhov, G. Malykhina, 2023, Sensors.

Motor transport related harmful PM2.5 and PM10: from onroad measurements to the modelling of air pollution by neural network approach on street and urban level

D. Tarkhov, V. Lozhkin, O. Lozhkina, 2016 .

The Deflection of Circle Membrane by the Action of a Cargo Located Asymmetrically Relatively to the Center

Mariya R. Bortkovskaya, T. Kaverzneva, D. Tarkhov, 2021, Advances in Neural Computation, Machine Learning, and Cognitive Research V.

The Construction of the Approximate Solution of the Chemical Reactor Problem Using the Feedforward Multilayer Neural Network

A. N. Vasilyev, D. A. Tarkhov, D. Tarkhov, 2019, Studies in Computational Intelligence.

Investigation of the Predictive Capabilities of a Data-Driven Multilayer Model by the Example of the Duffing Oscillator

S. Boyarsky, T. Lazovskaya, D. Tarkhov, 2020, 2020 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon).

Neural network modelling methods for creating digital twins of real objects

D A Tarkhov, G F Malykhina, D. Tarkhov, 2019, Journal of Physics: Conference Series.

THE MINISTRY OF SCIENCE AND HIGHER EDUCATION OF THE RUSSIAN FEDERATION

D. Tarkhov, T. Kaverzneva, V. V. Kudryavtseva, 2022 .

Neural Network Technique in Some Inverse Problems of Mathematical Physics

Tatiana V. Lazovskaya, Dmitriy A. Tarkhov, Vladimir I. Gorbachenko, 2016, ISNN.

Possibilities of Neural Networks for Personalization Approaches for Prevention of Complications After Endovascular Interventions

Tatiana V. Lazovskaya, Dmitriy A. Tarkhov, Ildar U. Zulkarnay, 2017, ISNN.

Neural network modeling of conditions of destruction of wood plank based on measurements

Tatiana V. Lazovskaya, V Filkin, T Kaverzneva, 2016 .