Implementation of Smoothing Image Filtering in the Residue Number System. - Nikolay I. Chervyakov; Pavel Alekseevich Lyakhov; Nikolay N. Nagornov; Dmitrii I. Kaplun; Alexander S. Voznesenskiy; Danil V. Bogayevskiy (MECO, 2019)

High-Performance Hardware 3D Medical Imaging using Wavelets in the Residue Number System. - Nikolay I. Chervyakov; Pavel Alekseevich Lyakhov; Nikolay N. Nagornov; Maria V. Valueva; Dmitrii I. Kaplun (MECO, 2020)

High-Performance Digital Filtering on Truncated Multiply-Accumulate Units in the Residue Number System. - Pavel Alekseevich Lyakhov; Maria V. Valueva; Georgii V. Valuev; Nikolay N. Nagornov (IEEE Access, 2020)

Residue Number System-Based Solution for Reducing the Hardware Cost of a Convolutional Neural Network. - Nikolay I. Chervyakov; Pavel Alekseevich Lyakhov; Maxim Anatolievich Deryabin; N. N. Nagornov; Maria V. Valueva; Georgii V. Valuev (Neurocomputing, 2020)

Application of the residue number system to reduce hardware costs of the convolutional neural network implementation. - Maria V. Valueva; N. N. Nagornov; Pavel Alekseevich Lyakhov; Georgii V. Valuev; Nikolay I. Chervyakov (Math. Comput. Simul., 2020)

Digital Filter Architecture With Calculations in the Residue Number System by Winograd Method F (2 × 2, 2 × 2). - Maria V. Valueva; Pavel Alekseevich Lyakhov; Georgii V. Valuev; Nikolay N. Nagornov (IEEE Access, 2021)

Semantic Segmentation System of Pigmented Skin Lesions Based on Convolutional Neural Networks. - Vladimir V. Fedorenko; Ulyana A. Lyakhova; Nikolay N. Nagornov; Georgii A. Efimenko; Dmitrii I. Kaplun (MECO, 2022)

On the Computational Complexity of 2D Filtering by Winograd Method. - Pavel Alekseevich Lyakhov; Albina S. Abdulsalyamova; Nataliya Semyonova; Nikolay N. Nagornov; Alexander S. Voznesensky; Dmitrii I. Kaplun (MECO, 2022)

Comparative Analysis of Various Methods to Circuit Design for DWT with CDF 9/7 Wavelet. - Nikolay N. Nagornov; Maxim V. Bergerman; Dmitrii V. Minenkov; Dmitrii I. Kaplun (MECO, 2022)

RNS-Based FPGA Accelerators for High-Quality 3D Medical Image Wavelet Processing Using Scaled Filter Coefficients. - Nikolay N. Nagornov; Pavel Alekseevich Lyakhov; Maria V. Valueva; Maxim V. Bergerman (IEEE Access, 2022)

Multimodal Neural Network for Recognition of Cardiac Arrhythmias Based on 12-Load Electrocardiogram Signals. - Maria R. Kiladze; Ulyana A. Lyakhova; Pavel A. Lyakhov; Nikolay N. Nagornov; Mohsen Vahabi (IEEE Access, 2023)

A novel sign detection method in residue number system based on Chinese remainder theorem with fractional values. - Pavel A. Lyakhov; Maxim V. Bergerman; Ruslan Abdulkadirov; Albina S. Abdulsalyamova; Nikolay N. Nagornov; Alexander S. Voznesenskiy; Dmitrii V. Minenkov; Dmitrii I. Kaplun (Microprocess. Microsystems, 2023)

Improving the Accuracy of Neural Network Pattern Recognition by Fractional Gradient Descent. - Ruslan Abdulkadirov; Pavel A. Lyakhov; Valentina A. Baboshina; Nikolay N. Nagornov (IEEE Access, 2024)

Modern Trends in Improving the Technical Characteristics of Devices and Systems for Digital Image Processing. - Nikolay N. Nagornov; Pavel A. Lyakhov; Maxim V. Bergerman; Diana I. Kalita (IEEE Access, 2024)