Ivan P. Malashin

According to our database, Ivan P. Malashin authored at least 18 papers between 2024 and 2025.

Collaborative distances:

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

2025

Powder particle classification with scanning electron microscopy images using machine learning techniques.

Ivan P. Malashin, Dmitry Martysyuk

Expert Syst. Appl., 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

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

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

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

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

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

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

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

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

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

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

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

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

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

Proceedings of the IEEE International Conference on Data Mining, 2024