Pavel Lyakhov

Publications by Year

Research Areas

Cryptography and Residue Arithmetic, Image and Signal Denoising Methods, Advanced Image Fusion Techniques, Neural Networks and Applications, Coding theory and cryptography

Most-Cited Works

• → Application of the residue number system to reduce hardware costs of the convolutional neural network implementation(2020)477 cited
• → Survey of Optimization Algorithms in Modern Neural Networks(2023)87 cited
• → Residue-to-binary conversion for general moduli sets based on approximate Chinese remainder theorem(2016)53 cited
• → Analysis of the Quantization Noise in Discrete Wavelet Transform Filters for 3D Medical Imaging(2020)48 cited
• → Analysis of the Quantization Noise in Discrete Wavelet Transform Filters for Image Processing(2018)38 cited
• → An Approximate Method for Comparing Modular Numbers and its Application to the Division of Numbers in Residue Number Systems*(2014)34 cited
• → Neural network system for analyzing statistical factors of patients for predicting the survival of dental implants(2022)31 cited
• → High-Performance Digital Filtering on Truncated Multiply-Accumulate Units in the Residue Number System(2020)28 cited
• → Digital filtering of images in a residue number system using finite-field wavelets(2014)26 cited
• → Increasing of convolutional neural network performance using residue number system(2017)25 cited