Vladimir A. Nelyub

According to our database, Vladimir A. Nelyub authored at least 12 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Controlled Porosity of Selective Laser Melting-Produced Thermal Pipes: Experimental Analysis and Machine Learning Approach for Pore Recognition on Pipes Surfaces.

Ivan P. Malashin, Dmitry Martysyuk, Vadim Tynchenko, Vladimir A. Nelyub, Aleksey S. Borodulin, Andrei P. Gantimurov, Anton Nisan, Nikolay Novozhilov, Viatcheslav Zelentsov, Aleksey Filimonov, Andrey Galinovsky

Sensors, August, 2024

Assessment of Anisotropic Acoustic Properties in Additively Manufactured Materials: Experimental, Computational, and Deep Learning Approaches.

Ivan P. Malashin, Vadim Tynchenko, Dmitry Martysyuk, Nikita A. Shchipakov, Nikolay V. Krysko, Maxim Degtyarev, Vladimir A. Nelyub, Andrei P. Gantimurov, Aleksey S. Borodulin, Andrey Galinovsky

Sensors, July, 2024

Deep Learning Approach for Pitting Corrosion Detection in Gas Pipelines.

Ivan P. Malashin, Vadim Tynchenko, Vladimir A. Nelyub, Aleksey S. Borodulin, Andrei P. Gantimurov, Nikolay V. Krysko, Nikita A. Shchipakov, Denis M. Kozlov, Andrey G. Kusyy, Dmitry Martysyuk, Andrey Galinovsky

Sensors, June, 2024

Image Text Extraction and Natural Language Processing of Unstructured Data from Medical Reports.

Ivan P. Malashin, Igor S. Masich, Vadim Tynchenko, Andrei P. Gantimurov, Vladimir A. Nelyub, Aleksey S. Borodulin

Mach. Learn. Knowl. Extr., June, 2024

Application of the Parabola Method in Nonconvex Optimization.

Anton Kolosnitsyn, Oleg Khamisov, Eugene Semenkin, Vladimir A. Nelyub

Algorithms, March, 2024

Technical Report on BaumEvA Evolutionary Optimization Python-Library Testing.

Vadim Tynchenko, Aleksei Kudryavtsev, Vladimir A. Nelyub, Aleksey S. Borodulin, Andrei P. Gantimurov

CoRR, 2024

Application of Natural Language Processing and Genetic Algorithm to Fine-Tune Hyperparameters of Classifiers for Economic Activities Analysis.

Ivan P. Malashin, Igor S. Masich, Vadim Tynchenko, Vladimir A. Nelyub, Aleksey S. Borodulin, Andrei P. Gantimurov

Big Data Cogn. Comput., 2024

Anomaly Detection in Restaurant Receipts Data.

Ivan P. Malashin, Igor S. Masich, Vadim Sergeevich Tynchenko, Andrei P. Gantimurov, Vladimir A. Nelyub, Aleksey S. Borodulin, Sergei I. Tokarev, Denis I. Vasilev

IEEE Access, 2024

ML-Based Forecasting of Temporal Dynamics in Luminescence Spectra of Ag₂S Colloidal Quantum Dots.

Ivan P. Malashin, Daniil S. Daibagya, Vadim Tynchenko, Vladimir A. Nelyub, Aleksey S. Borodulin, Andrei P. Gantimurov, Sergey A. Ambrozevich, Alexandr S. Selyukov

IEEE Access, 2024

2023

Classification of Acoustic Influences Registered with Phase-Sensitive OTDR Using Pattern Recognition Methods.

Ivan A. Barantsov, Alexey B. Pnev, Kirill I. Koshelev, Vadim Tynchenko, Vladimir A. Nelyub, Aleksey S. Borodulin

Sensors, January, 2023

2022

The Orb-Weaving Spider Algorithm for Training of Recurrent Neural Networks.

Anton Mikhalev, Vadim Tynchenko, Vladimir A. Nelyub, Nina M. Lugovaya, Vladimir A. Baranov, Vladislav V. Kukartsev, Roman B. Sergienko, Sergei Kurashkin

Symmetry, 2022

Paired Patterns in Logical Analysis of Data for Decision Support in Recognition.

Igor S. Masich, Vadim Sergeevich Tynchenko, Vladimir A. Nelyub, Vladimir Viktorovich Bukhtoyarov, Sergei Olegovich Kurashkin, Aleksey S. Borodulin

Comput., 2022