Development of Elements of an Intelligent High-Performance Platform of a Distributed Decision Support System for Monitoring and Diagnostics of Technological Objects. - Vladimir Viktorovich Bukhtoyarov; Vadim Tynchenko; Eduard Petrovsky; Kirill Aleksandrovich Bashmur; Roman Sergienko (CSOC (2), 2020)

Algorithmic and Software Support for Technological Decision-Making in the Process of Induction Soldering. - Anton Vladimirovich Milov; Vadim Tynchenko; Vyacheslav Petrenko; Sergei Kurashkin (CSOC (1), 2020)

Analysis of the Structure of Germany's Energy Sector with Self-organizing Kohonen Maps. - Irina Potapenko; Vladislav V. Kukartsev; Vadim Tynchenko; Anton Mikhalev; Evgeniia Ershova (BIS (Workshops), 2021)

Hardware Control of the Electron Beam Energy Density by the Heating Spot. - Sergei Kurashkin; Vadim Tynchenko; Yuriy Seregin; Aleksandr Murygin; Aleksey Bocharov (ICICT (1), 2021)

Mathematical modelling of waveguide paths by electron-beam welding. - Sergei Kurashkin; Vadim Tynchenko; Yuriy Seregin; Aleksandr Murygin; Alexander Lavrishchev (ISM, 2021)

Software for optimization of beam output during electron beam welding of thin-walled structures. - Vadim Tynchenko; Sergei Kurashkin; Alexander Murygin; Aleksey Bocharov; Yuriy Seregin (ISM, 2021)

Ensemble of artificial neural networks to control the induction soldering of spacecraft's waveguide paths. - Anton Vladimirovich Milov; Vadim Tynchenko; Sergei Kurashkin; Valeriya Valerievna Tynchenko (MetroInd4.0&IoT, 2021)

Software to Predict the Process Parameters of Electron Beam Welding. - Vadim Tynchenko; Sergei Kurashkin; Valeria V. Tynchenko; Vladimir Viktorovich Bukhtoyarov; Vladislav V. Kukartsev; Roman B. Sergienko; Sergei V. Tynchenko; Kirill Aleksandrovich Bashmur (IEEE Access, 2021)

Design of Computational Models for Hydroturbine Units Based on a Nonparametric Regression Approach with Adaptation by Evolutionary Algorithms. - Vladimir Viktorovich Bukhtoyarov; Vadim Sergeevich Tynchenko (Comput., 2021)

The Use of Collections of Artificial Neural Networks to Improve the Control Quality of the Induction Soldering Process. - Anton Vladimirovich Milov; Vadim Sergeevich Tynchenko; Sergei Olegovich Kurashkin; Valeriya Valerievna Tynchenko; Vladislav Viktorovich Kukartsev; Vladimir Viktorovich Bukhtoyarov; Roman Sergienko; Viktor Alekseevich Kukartsev; Kirill Aleksandrovich Bashmur (Sensors, 2021)

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)

Choice of technology and evaluation of the production capabilities of a 3d printer robot for creating elements of experimental equipment for the production of biofuel components. - Kirill Aleksandrovich Bashmur; Vadim Sergeevich Tynchenko; Vladimir Viktorovich Bukhtoyarov; Mikhail V. Saramud (CoRR, 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)

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, 2023)

Anomaly Detection in Financial Data Using GA-Optimized MLP Models. - Ivan P. Malashin; Igor S. Masich; Aleksei S. Borodulin; Vladimir Viktorovich Bukhtoyarov; Vladimir A. Nelyub; Vadim Tynchenko (ICDM (Workshops), 2024)

BCSnet: A U-Net-Based Model for Segmentation of Brain Cells in Trypan Blue Images. - Aleksei A. Kudryavtsev; Ivan Simkin; Maksim A. Dragun; Olga P. Alexandrova; Ivan P. Malashin; Denis A. Sukhanov; Vladimir A. Nelyub; Aleksey S. Borodulin; Stanislav Yurchenko; Vadim Tynchenko (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)

Confidence-Aware Rejection Class Minimization in Indirect Tax Audit Classification. - Ivan P. Malashin; Igor S. Masich; Vadim Sergeevich Tynchenko; Andrei P. Gantimurov; Vladimir A. Nelyub; Aleksey S. Borodulin (IEEE Access, 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)

Detecting of Robotic Imitation of Human on-the-Website Activity With Advanced Vector Analysis and Fractional Derivatives. - Ivan P. Malashin; Vadim Sergeevich Tynchenko; Andrei P. Gantimurov; Vladimir A. Neluyb; Aleksey S. Borodulin (IEEE Access, 2024)

Automated Text Structuring: Natural Language Processing and Regular Expressions in XML Tag Filling. - Ivan P. Malashin; Vadim Sergeevich Tynchenko; Andrei P. Gantimurov; Vladimir A. Nelyub; Aleksey S. Borodulin (IEEE Access, 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)

Adaptive Management of Multi-Scenario Projects in Cybersecurity: Models and Algorithms for Decision-Making. - Vadim Tynchenko; Alexander Lomazov; Vadim Lomazov; Dmitry Evsyukov; Vladimir A. Nelyub; Aleksey S. Borodulin; Andrei P. Gantimurov; Ivan P. Malashin (Big Data Cogn. Comput., 2024)

Technical Report on BaumEvA Evolutionary Optimization Python-Library Testing. - Vadim Tynchenko; Aleksei A. Kudryavtsev; Vladimir A. Nelyub; Aleksey S. Borodulin; Andrei P. Gantimurov (CoRR, 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., 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, 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, 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, 2024)

Automated Detection of Deviations in Bankruptcy Processes Using Process Mining. - Ivan P. Malashin; Igor S. Masich; Daniel A. Ageev; Dmitriy A. Evsyukov; Andrei P. Gantimurov; Vladimir A. Nelyub; Aleksei S. Borodulin; Vadim Sergeevich Tynchenko (IEEE Access, 2025)

Integrating Machine Learning and Multi-Objective Optimization in Biofuel Systems: A Review. - Ivan P. Malashin; Dmitry Martysyuk; Vadim Tynchenko; Andrei P. Gantimurov; Vladimir A. Nelyub; Aleksei S. Borodulin (IEEE Access, 2025)

Analysis of IoT-Collected Radish Growth Data Using Deep Neural Networks. - Ivan P. Malashin; Vadim Sergeevich Tynchenko; Andrei P. Gantimurov; Vladimir A. Nelyub; Aleksei S. Borodulin (IEEE Access, 2025)

Recognition of Handwritten Characters in Birch-Bark Manuscripts via Object Detection. - Ivan P. Malashin; Vadim Sergeevich Tynchenko; Andrei P. Gantimurov; Vladimir A. Nelyub; Aleksei S. Borodulin (IEEE Access, 2025)