Nikolay N. Nagornov
Orcid: 0000-0002-9423-3555
According to our database1,
Nikolay N. Nagornov
authored at least 14 papers
between 2019 and 2024.
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Bibliography
2024
Modern Trends in Improving the Technical Characteristics of Devices and Systems for Digital Image Processing.
IEEE Access, 2024
Improving the Accuracy of Neural Network Pattern Recognition by Fractional Gradient Descent.
IEEE Access, 2024
2023
A novel sign detection method in residue number system based on Chinese remainder theorem with fractional values.
Microprocess. Microsystems, 2023
Multimodal Neural Network for Recognition of Cardiac Arrhythmias Based on 12-Load Electrocardiogram Signals.
IEEE Access, 2023
2022
RNS-Based FPGA Accelerators for High-Quality 3D Medical Image Wavelet Processing Using Scaled Filter Coefficients.
IEEE Access, 2022
Comparative Analysis of Various Methods to Circuit Design for DWT with CDF 9/7 Wavelet.
Proceedings of the 11th Mediterranean Conference on Embedded Computing, 2022
Proceedings of the 11th Mediterranean Conference on Embedded Computing, 2022
Semantic Segmentation System of Pigmented Skin Lesions Based on Convolutional Neural Networks.
Proceedings of the 11th Mediterranean Conference on Embedded Computing, 2022
2021
Digital Filter Architecture With Calculations in the Residue Number System by Winograd Method F (2 × 2, 2 × 2).
IEEE Access, 2021
2020
Application of the residue number system to reduce hardware costs of the convolutional neural network implementation.
Math. Comput. Simul., 2020
Residue Number System-Based Solution for Reducing the Hardware Cost of a Convolutional Neural Network.
Neurocomputing, 2020
High-Performance Digital Filtering on Truncated Multiply-Accumulate Units in the Residue Number System.
IEEE Access, 2020
High-Performance Hardware 3D Medical Imaging using Wavelets in the Residue Number System.
Proceedings of the 9th Mediterranean Conference on Embedded Computing, 2020
2019
Proceedings of the 8th Mediterranean Conference on Embedded Computing, 2019