Tatiana V. Lazovskaya

According to our database, Tatiana V. Lazovskaya authored at least 8 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of four.

2023

Adapting PINN Models of Physical Entities to Dynamical Data.

Dmitriy A. Tarkhov, Tatiana V. Lazovskaya, Valery Antonov

Comput., September, 2023

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.

Dmitriy A. Tarkhov, Tatiana V. Lazovskaya, Galina F. Malykhina

Sensors, January, 2023

2021

Intelligent LED Certification System in Mass Production.

Galina F. Malykhina, Dmitriy A. Tarkhov, Viacheslav P. Shkodyrev, Tatiana V. Lazovskaya

Sensors, 2021

Physics-Based Neural Network Methods for Solving Parameterized Singular Perturbation Problem.

Tatiana V. Lazovskaya, Galina F. Malykhina, Dmitriy A. Tarkhov

Comput., 2021

2017

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

Tatiana V. Lazovskaya, Dmitriy A. Tarkhov, Gelena A. Berezovskaya, Nikolay N. Petrischev, Ildar U. Zulkarnay

Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

2016

Neural Network Technique in Some Inverse Problems of Mathematical Physics.

Vladimir I. Gorbachenko, Tatiana V. Lazovskaya, Dmitriy A. Tarkhov, Alexander N. Vasilyev, Maxim V. Zhukov

Proceedings of the Advances in Neural Networks - ISNN 2016, 2016

Neural Network Technique in Boundary Value Problems for Ordinary Differential Equations.

Elena M. Budkina, Evgenii B. Kuznetsov, Tatiana V. Lazovskaya, Sergey S. Leonov, Dmitriy A. Tarkhov, Alexander N. Vasilyev

Proceedings of the Advances in Neural Networks - ISNN 2016, 2016

Neural Network Methods for Construction of Sociodynamic Models Hierarchy.

Ekaterina A. Blagoveshchenskaya, Aleksandra I. Dashkina, Tatiana V. Lazovskaya, Viktoria V. Ryabukhina, Dmitriy A. Tarkhov

Proceedings of the Advances in Neural Networks - ISNN 2016, 2016