Lyakhov Pavel Alekseyevich

Publications in Math-Net.Ru

1. Detection of attention state in children with autism spectrum disorder based on neural network classification of electroencephalograms
   
   Vestnik S.-Petersburg Univ. Ser. 10. Prikl. Mat. Inform. Prots. Upr., 21:1 (2025),  92–111
2. Non-convex optimization with using positive-negative moment estimation and its application for skin cancer recognition with a neural network
   
   Computer Optics, 48:2 (2024),  260–271
3. Multimodal ensemble neural network system for skin cancer detection on heterogeneous dermatological data
   
   Vestnik S.-Petersburg Univ. Ser. 10. Prikl. Mat. Inform. Prots. Upr., 20:2 (2024),  231–243
4. New method for detecting and removing random-valued impulse noise from images
   
   Computer Optics, 47:2 (2023),  262–271
5. A new approach to training neural networks using natural gradient descent with momentum based on Dirichlet distributions
   
   Computer Optics, 47:1 (2023),  160–169
6. Development of algorithms for digital image processing based on the Winograd method in general form and analysis of their computational complexity
   
   Computer Optics, 47:1 (2023),  68–78
7. High-performance digital image filtering architectures in the residue number system based on the Winograd method
   
   Computer Optics, 46:5 (2022),  752–762
8. Neural network classification system for pigmented skin neoplasms with preliminary hair removal in photographs
   
   Computer Optics, 45:5 (2021),  728–735
9. 3D-generalization of impulse noise removal method for video data processing
   
   Computer Optics, 44:1 (2020),  92–100
10. Hardware implementation of a convolutional neural network using calculations in the residue number system
    
    Computer Optics, 43:5 (2019),  857–868
11. New methods of adaptive median filtering of impulse noise in images
    
    Computer Optics, 42:4 (2018),  667–678
12. Multiplication and division in the residue number system using galois fields gf(p)
    
    St. Petersburg Polytechnical University Journal. Computer Science. Telecommunication and Control Sys, 2014, no. 3(198),  65–76