Dmitry Kaplun
Dmitry Kaplun
Saint Petersburg Electrotechnical University "LETI" (СПбГЭТУ «ЛЭТИ»)
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A fuzzy rank-based ensemble of CNN models for classification of cervical cytology
A Manna, R Kundu, D Kaplun, A Sinitca, R Sarkar
Scientific Reports 11 (1), 14538, 2021
Brain tumor image generation using an aggregation of GAN models with style transfer
D Mukherkjee, P Saha, D Kaplun, A Sinitca, R Sarkar
Scientific reports 12 (1), 9141, 2022
Analysis of the quantization noise in discrete wavelet transform filters for image processing
N Chervyakov, P Lyakhov, D Kaplun, D Butusov, N Nagornov
Electronics 7 (8), 135, 2018
A deep learning model for classifying human facial expressions from infrared thermal images
A Bhattacharyya, S Chatterjee, S Sen, A Sinitca, D Kaplun, R Sarkar
Scientific reports 11 (1), 20696, 2021
Detection of Norway spruce trees (Picea Abies) infested by bark beetle in UAV images using YOLOs architectures
A Safonova, Y Hamad, A Alekhina, D Kaplun
IEEE Access 10, 10384-10392, 2022
The effects of Padé numerical integration in simulation of conservative chaotic systems
D Butusov, A Karimov, A Tutueva, D Kaplun, EG Nepomuceno
Entropy 21 (4), 362, 2019
Adaptive signal processing algorithms based on EMD and ITD
A Voznesensky, D Kaplun
IEEE Access 7, 171313-171321, 2019
Computational analysis of movement patterns of dogs with ADHD-like behavior
S Bleuer-Elsner, A Zamansky, A Fux, D Kaplun, S Romanov, A Sinitca, ...
Animals 9 (12), 1140, 2019
Empirical mode decomposition for signal preprocessing and classification of intrinsic mode functions
DM Klionskiy, DI Kaplun, VV Geppener
Pattern Recognition and Image Analysis 28, 122-132, 2018
Optimal estimation of wavelet decomposition level for a matching pursuit algorithm
D Kaplun, A Voznesenskiy, S Romanov, E Nepomuceno, D Butusov
Entropy 21 (9), 843, 2019
A new method for adaptive median filtering of images
PA Lyakhov, AR Orazaev, NI Chervyakov, DI Kaplun
2019 IEEE Conference of Russian Young Researchers in Electrical and …, 2019
An ensemble of CNN models for Parkinson’s disease detection using DaTscan images
A Kurmi, S Biswas, S Sen, A Sinitca, D Kaplun, R Sarkar
Diagnostics 12 (5), 1173, 2022
Signal denoising based on empirical mode decomposition
D Klionskiy, M Kupriyanov, D Kaplun
Journal of Vibroengineering 19 (7), 5560-5570, 2017
Monkeypox detection from skin lesion images using an amalgamation of CNN models aided with Beta function-based normalization scheme
R Pramanik, B Banerjee, G Efimenko, D Kaplun, R Sarkar
Plos one 18 (4), e0281815, 2023
Analysis of dogs’ sleep patterns using convolutional neural networks
A Zamansky, AM Sinitca, DI Kaplun, M Plazner, IG Schork, RJ Young, ...
Artificial Neural Networks and Machine Learning–ICANN 2019: Image Processing …, 2019
Filtering techniques for chaotic signal processing
D Butusov, T Karimov, A Voznesenskiy, D Kaplun, V Andreev, V Ostrovskii
Electronics 7 (12), 450, 2018
Construction of residue number system using hardware efficient diagonal function
M Valueva, G Valuev, N Semyonova, P Lyakhov, N Chervyakov, D Kaplun, ...
Electronics 8 (6), 694, 2019
Toward development of a label-free detection technique for microfluidic fluorometric peptide-based biosensor systems
N Sitkov, T Zimina, A Kolobov, V Karasev, A Romanov, V Luchinin, ...
Micromachines 12 (6), 691, 2021
New technique to quantify chaotic dynamics based on differences between semi-implicit integration schemes
DN Butusov, DO Pesterev, AV Tutueva, DI Kaplun, EG Nepomuceno
Communications in Nonlinear Science and Numerical Simulation 92, 105467, 2021
Optimization of the FIR filter structure in finite residue field algebra
D Kaplun, D Butusov, V Ostrovskii, A Veligosha, V Gulvanskii
Electronics 7 (12), 372, 2018
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