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Vik Ksenia V., Spitsyn Vladimir G., Druki Alexey A., Grigoriev Dmitriy S. «Application of deep learning neural networks for solving the problem of forest fire segmentation on satellite images» // Tomsk State University Journal of Control and Computer Science 2021. №55 C.18-25
Krutikov Vladimir N., Samoylenko Natalya S. «On the convergence rate of the subgradient method with metric variation and its applications in neural network approximation schemes» // Tomsk State University Journal of Mathematics and Mechanics 2018. №55 C.22-37
Spitsyn Vladimir G., Hamker Fred H., Kermani Arash K. «Maximizing competition in a biologically plausible neural network» // 2012. №56 C.53-60
Sorokin Mikhail Sergeevich, Zakharova Galina Borisovna «The intelligent software toolkit for production of news TV-programs discrete function and automatons» // Tomsk State University Journal of Control and Computer Science 2018. №45 C.76-82
Geidarov P. Sh. «The architecture of a neural network with a sequential division of images into pairs» // Applied Discrete Mathematics 2018. №41 C.98-109
Shatravin Vladislav V., Shashev Dmitriy V. «Implementation of the sigmoid activation function using the reconfigurable computing environments» // Tomsk State University Journal of Control and Computer Science 2022. №61 C.117-127
Nikolaev A. A. «Extension and analysis of information hiding method deep steganography» // Applied Discrete Mathematics. Supplement 2021. №14 C.146-148
Boltunova Ekaterina M., Laptev Anton K. «Handwriting recognition and data mining: Possibilities of neural network technologies (based on Admiral Fyodor Lütke’s Diary)» // Imagology and Comparative Studies 2025. №23 C.358-379