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ORCIDAleksey S. Borodulin
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2020 – today
- 2024
[j10]Ivan P. Malashin
, Daniil S. Daibagya, Vadim Tynchenko, Vladimir A. Nelyub, Aleksey S. Borodulin, Andrei P. Gantimurov, Sergey A. Ambrozevich, Alexandr S. Selyukov:
ML-Based Forecasting of Temporal Dynamics in Luminescence Spectra of Ag2S Colloidal Quantum Dots. IEEE Access 12: 53320-53334 (2024)- [j9]Ivan P. Malashin, Vadim Sergeevich Tynchenko, Andrei P. Gantimurov, Vladimir A. Neluyb, Aleksey S. Borodulin:
Detecting of Robotic Imitation of Human on-the-Website Activity With Advanced Vector Analysis and Fractional Derivatives. IEEE Access 12: 56707-56718 (2024) - [j8]Ivan P. Malashin, Igor S. Masich, Vadim Sergeevich Tynchenko, Andrei P. Gantimurov, Vladimir A. Nelyub, Aleksey S. Borodulin, Sergei I. Tokarev, Denis I. Vasilev:
Anomaly Detection in Restaurant Receipts Data. IEEE Access 12: 145590-145607 (2024) - [j7]Ivan P. Malashin, Igor S. Masich, Vadim Tynchenko, Vladimir A. Nelyub, Aleksey S. Borodulin, Andrei P. Gantimurov:
Application of Natural Language Processing and Genetic Algorithm to Fine-Tune Hyperparameters of Classifiers for Economic Activities Analysis. Big Data Cogn. Comput. 8(6): 68 (2024) - [j6]Ivan P. Malashin, Igor S. Masich, Vadim Tynchenko, Andrei P. Gantimurov, Vladimir A. Nelyub, Aleksey S. Borodulin:
Image Text Extraction and Natural Language Processing of Unstructured Data from Medical Reports. Mach. Learn. Knowl. Extr. 6(2): 1361-1377 (2024) - [j5]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:
Deep Learning Approach for Pitting Corrosion Detection in Gas Pipelines. Sensors 24(11): 3563 (2024) - [j4]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:
Assessment of Anisotropic Acoustic Properties in Additively Manufactured Materials: Experimental, Computational, and Deep Learning Approaches. Sensors 24(14): 4488 (2024) - [j3]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:
Controlled Porosity of Selective Laser Melting-Produced Thermal Pipes: Experimental Analysis and Machine Learning Approach for Pore Recognition on Pipes Surfaces. Sensors 24(15): 4959 (2024) - [i1]Vadim Tynchenko, Aleksei Kudryavtsev, Vladimir A. Nelyub, Aleksey S. Borodulin, Andrei P. Gantimurov:
Technical Report on BaumEvA Evolutionary Optimization Python-Library Testing. CoRR abs/2405.00686 (2024) - 2023
- [j2]Ivan A. Barantsov, Alexey B. Pnev, Kirill I. Koshelev, Vadim Tynchenko, Vladimir A. Nelyub, Aleksey S. Borodulin:
Classification of Acoustic Influences Registered with Phase-Sensitive OTDR Using Pattern Recognition Methods. Sensors 23(2): 582 (2023) - 2022
- [j1]Igor S. Masich, Vadim Sergeevich Tynchenko, Vladimir A. Nelyub, Vladimir Viktorovich Bukhtoyarov, Sergei Olegovich Kurashkin, Aleksey S. Borodulin:
Paired Patterns in Logical Analysis of Data for Decision Support in Recognition. Comput. 10(10): 185 (2022)
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aka: Vadim Sergeevich Tynchenko
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