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Nikolay N. Nagornov
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2020 – today
- 2024
- [j8]Nikolay N. Nagornov, Pavel A. Lyakhov, Maxim V. Bergerman, Diana I. Kalita:
Modern Trends in Improving the Technical Characteristics of Devices and Systems for Digital Image Processing. IEEE Access 12: 44659-44681 (2024) - 2023
- [j7]Maria R. Kiladze, Ulyana A. Lyakhova, Pavel A. Lyakhov, Nikolay N. Nagornov, Mohsen Vahabi:
Multimodal Neural Network for Recognition of Cardiac Arrhythmias Based on 12-Load Electrocardiogram Signals. IEEE Access 11: 133744-133754 (2023) - [j6]Pavel A. Lyakhov, Maxim V. Bergerman, Ruslan Abdulkadirov, Albina S. Abdulsalyamova, Nikolay N. Nagornov, Alexander S. Voznesenskiy, Dmitrii V. Minenkov, Dmitrii I. Kaplun:
A novel sign detection method in residue number system based on Chinese remainder theorem with fractional values. Microprocess. Microsystems 102: 104940 (2023) - 2022
- [j5]Nikolay N. Nagornov, Pavel Alekseevich Lyakhov, Maria V. Valueva, Maxim V. Bergerman:
RNS-Based FPGA Accelerators for High-Quality 3D Medical Image Wavelet Processing Using Scaled Filter Coefficients. IEEE Access 10: 19215-19231 (2022) - [c5]Vladimir V. Fedorenko, Ulyana A. Lyakhova, Nikolay N. Nagornov, Georgii A. Efimenko, Dmitrii I. Kaplun:
Semantic Segmentation System of Pigmented Skin Lesions Based on Convolutional Neural Networks. MECO 2022: 1-5 - [c4]Pavel Alekseevich Lyakhov, Albina S. Abdulsalyamova, Nataliya Semyonova, Nikolay N. Nagornov, Alexander S. Voznesensky, Dmitrii I. Kaplun:
On the Computational Complexity of 2D Filtering by Winograd Method. MECO 2022: 1-4 - [c3]Nikolay N. Nagornov, Maxim V. Bergerman, Dmitrii V. Minenkov, Dmitrii I. Kaplun:
Comparative Analysis of Various Methods to Circuit Design for DWT with CDF 9/7 Wavelet. MECO 2022: 1-4 - 2021
- [j4]Maria V. Valueva, Pavel Alekseevich Lyakhov, Georgii V. Valuev, Nikolay N. Nagornov:
Digital Filter Architecture With Calculations in the Residue Number System by Winograd Method F (2 × 2, 2 × 2). IEEE Access 9: 143331-143340 (2021) - 2020
- [j3]Pavel Alekseevich Lyakhov, Maria V. Valueva, Georgii V. Valuev, Nikolay N. Nagornov:
High-Performance Digital Filtering on Truncated Multiply-Accumulate Units in the Residue Number System. IEEE Access 8: 209181-209190 (2020) - [j2]Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Maxim Anatolievich Deryabin, N. N. Nagornov, Maria V. Valueva, Georgii V. Valuev:
Residue Number System-Based Solution for Reducing the Hardware Cost of a Convolutional Neural Network. Neurocomputing 407: 439-453 (2020) - [j1]Maria V. Valueva, N. N. Nagornov, Pavel Alekseevich Lyakhov, Georgii V. Valuev, Nikolay I. Chervyakov:
Application of the residue number system to reduce hardware costs of the convolutional neural network implementation. Math. Comput. Simul. 177: 232-243 (2020) - [c2]Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Nikolay N. Nagornov, Maria V. Valueva, Dmitrii I. Kaplun:
High-Performance Hardware 3D Medical Imaging using Wavelets in the Residue Number System. MECO 2020: 1-4
2010 – 2019
- 2019
- [c1]Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Nikolay N. Nagornov, Dmitrii I. Kaplun, Alexander S. Voznesenskiy, Danil V. Bogayevskiy:
Implementation of Smoothing Image Filtering in the Residue Number System. MECO 2019: 1-4
Coauthor Index
aka: Pavel Alekseevich Lyakhov
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