Simulation of digital filter banks and signal classification in wideband monitoring tasks. - Dmitry M. Klionskiy; Dmitry I. Kaplun; Vyacheslav V. Gulvanskiy; Alexander S. Voznesenskiy (Autom. Control. Comput. Sci., 2015)

The choice between delta and shift operators for low-precision data representation. - Denis N. Butusov; Timur I. Karimov; Dmitry I. Kaplun; Artur I. Karimov; Yennun Huang; Szu-Chuang Li (FRUCT, 2017)

Delta operator filter design for hydroacoustic tasks. - Denis N. Butusov; Timur I. Karimov; Dmitrii I. Kaplun; Artur I. Karimov (MECO, 2017)

Error correction of digital signal processing devices using non-positional modular codes. - Dmitry I. Kaplun; Dmitry M. Klionskiy; D. V. Bogaevskiy; V. V. Gulvanskiy; Alexander V. Veligosha; Igor Anatolyevich Kalmykov (Autom. Control. Comput. Sci., 2017)

Improving pseudorandom generator on cellular automata with bent functions. - Alla Levina; Daniyar Mukhamedjanov; Gleb Ryaskin; Dmitrij I. Kaplun (FedCSIS, 2018)

Area-Efficient FPGA Implementation of Minimalistic Convolutional Neural Network Using Residue Number System. - Nikolay I. Chervyakov; Pavel Alekseevich Lyakhov; Maria V. Valueva; Georgii V. Valuev; Dmitrii I. Kaplun; George A. Efimenko; Denis V. Gnezdilov (FRUCT, 2018)

Compact Fixed-Point Filter Implementation. - Timur I. Karimov; Denis N. Butusov; Valerii S. Andreev; Vyacheslav G. Rybin; Dmitry I. Kaplun (FRUCT, 2018)

Method of decrease of discrete Fourier transform sidelobes without window functions. - Ivan I. Kanatov; Vyacheslav V. Gulvansky; Dmitrii I. Kaplun (MECO, 2018)

Animal Health Informatics: Towards a Generic Framework for Automatic Behavior Analysis Position Paper. - Dmitrij I. Kaplun; Aleksandr Sinitca; Anna Zamansky; Stephane Bleuer-Elsner; Michael Plazner; Asaf Fux; Dirk van der Linden (HEALTHINF, 2019)

Structural and Informational Diversity of Digital Filters Based on Multivariate Arithmetic of Finite Field. - Alexander V. Veligosha; Dmitrii I. Kaplun; Alexander S. Voznesenskiy; D. V. Bogaevskiy (FRUCT, 2019)

Automatic Estimation of Dog Age: The DogAge Dataset and Challenge. - Anna Zamansky; Aleksandr Sinitca; Dmitry I. Kaplun; Luisa M. L. Dutra; Robert J. Young (ICANN (3), 2019)

Analysis of Dogs' Sleep Patterns Using Convolutional Neural Networks. - Anna Zamansky; Aleksandr Sinitca; Dmitry I. Kaplun; Michael Plazner; Ivana G. Schork; Robert J. Young; Cristiano S. de Azevedo (ICANN (3), 2019)

Study of Vector Processor Architectures for Image Processing Using Model Profiling. - Danil V. Bogayevskiy; Sergey N. Ezhov; Dmitrii I. Kaplun; Maxim V. Minenko; Sergei I. Aryashev; Konstantin A. Petrov (MECO, 2019)

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)

Hardware Implementation of Video Processing Device using Residue Number System. - Dmitrii I. Kaplun; Nikolay I. Chervyakov; Pavel Alekseevich Lyakhov; Andrey S. Ionisyan; Maria V. Valueva; Vyacheslav V. Gulvanskiy; Rangababu Peesapati (TSP, 2019)

Memristive Circuit Simulation Using the Semi-Implicit Multistep Method. - Dmitrii I. Kaplun; Aleksandra V. Tutueva; Denis N. Butusov; Artur I. Karimov; Jaan Toming (TSP, 2019)

Adaptive Signal Processing Algorithms Based on EMD and ITD. - Alexander S. Voznesenskiy; Dmitry I. Kaplun (IEEE Access, 2019)

The Effects of Padé Numerical Integration in Simulation of Conservative Chaotic Systems. - Denis N. Butusov; Artur I. Karimov; Aleksandra Tutueva; Dmitry I. Kaplun; Erivelton G. Nepomuceno (Entropy, 2019)

Optimal Estimation of Wavelet Decomposition Level for a Matching Pursuit Algorithm. - Dmitry I. Kaplun; Alexander S. Voznesenskiy; Sergei Romanov; Erivelton Geraldo Nepomuceno; Denis N. Butusov (Entropy, 2019)

Towards a Methodology for Data-Driven Automatic Analysis of Animal Behavioral Patterns. - Tom Menaker; Anna Zamansky; Dirk van der Linden; Dmitry I. Kaplun; Aleksandr Sinitica; Sabrina Karl; Ludwig Huber (ACI, 2020)

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)

Method of Oriented Contour Detection on Image Using Lorentz Function. - Pavel Alekseevich Lyakhov; Albina S. Abdulsalyamova; Maria R. Kiladze; Dmitrii I. Kaplun; Alexander S. Voznesensky (MECO, 2020)

Method for Determining Skin Lesions from Images Using Neural Network. - Uliana A. Lyakhova; Pavel Alekseevich Lyakhov; Nikolay I. Chervyakov; Dmitrii I. Kaplun; Alexander S. Voznesensky (MECO, 2020)

Classification of Moduli Sets for Residue Number System With Special Diagonal Functions. - Peter G. Boyvalenkov; Nikolay I. Chervyakov; Pavel Alekseevich Lyakhov; Nataliya Semyonova; Anton S. Nazarov; Maria V. Valueva; Georgi Boyvalenkov; Danil Bogaevskiy; Dmitry I. Kaplun (IEEE Access, 2020)

Design Reverse Converter for Balanced RNS with Three Low-cost Modules. - Pavel Alekseevich Lyakhov; Maxim V. Bergerman; Nataliya Semyonova; Dmitrij I. Kaplun; Alexander S. Voznesensky (MECO, 2021)

A New Method of Sign Detection in RNS Based on Modified Chinese Remainder Theorem. - Pavel Alekseevich Lyakhov; Maria V. Valueva; Dmitry I. Kaplun; Alexander S. Voznesensky (MECO, 2021)

Single Image Super-Resolution Method Based on Bilinear Interpolation and U-Net Combination. - Pavel Alekseevich Lyakhov; Georgii V. Valuev; Maria V. Valueva; Dmitry I. Kaplun; Aleksandr Sinitca (MECO, 2021)

Technique to Adjust Adaptive Digital Filter Coefficients in Residue Number System Based Filters. - Dmitry I. Kaplun; Alexander S. Voznesenskiy; Alexander V. Veligosha; Igor Anatolyevich Kalmykov; Kandarpa Kumar Sarma (IEEE Access, 2021)

New technique to quantify chaotic dynamics based on differences between semi-implicit integration schemes. - Denis N. Butusov; Dmitriy Pesterev; Aleksandra V. Tutueva; Dmitry I. Kaplun; Erivelton G. Nepomuceno (Commun. Nonlinear Sci. Numer. Simul., 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)

ANew Convolutional Neural Network for Recognizing Handwritten Letters of the Russian Alphabet. - Anastasiia Safonova; Andrey Levkov; Dmitry I. Kaplun (TSP, 2022)

Detection of Norway Spruce Trees (Picea Abies) Infested by Bark Beetle in UAV Images Using YOLOs Architectures. - Anastasiia Safonova; Yousif Hamad; Anna Alekhina; Dmitry I. Kaplun (IEEE Access, 2022)

Learning Aided System for Agriculture Monitoring Designed Using Image Processing and IoT-CNN. - Kandarpa Kumar Sarma; Kunal Kingkar Das; Vikash Mishra; Samadrita Bhuiya; Dmitry I. Kaplun (IEEE Access, 2022)

Denoising Chaotic Signals Using Ensemble Intrinsic Time-Scale Decomposition. - Alexander S. Voznesenskiy; Denis N. Butusov; Vyacheslav G. Rybin; Dmitry I. Kaplun; Timur I. Karimov; Erivelton Geraldo Nepomuceno (IEEE Access, 2022)

Determination of the athletes' anaerobic threshold using machine learning methods. - Alexander Chikov; Nikolay Egorov; Dmitry Medvedev; Svetlana Chikova; Evgeniy Pavlov; Pavel Drobintsev; Alexander S. Krasichkov; Dmitry I. Kaplun (Biomed. Signal Process. Control., 2022)

Parallelization of Runge-Kutta Methods for Hardware Implementation. - Petr Fedoseev; Konstantin Zhukov; Dmitry I. Kaplun; Nikita Vybornov; Valery S. Andreev (Comput., 2022)

High Performance Parallel Pseudorandom Number Generator on Cellular Automata. - Alla Levina; Daniyar Mukhamedjanov; Danil Bogaevskiy; Pavel Alekseevich Lyakhov; Maria V. Valueva; Dmitrii I. Kaplun (Symmetry, 2022)

Application of immersive technology in a museum. - Dmitrii I. Kaplun; Sergei Romanov; Madina T. Ipalakova; Yevgeniya A. Daineko; Zhiger Bolatov; Dana Tsoy (EUSPN/ICTH, 2023)

Prognostic Model in the Diagnosis and Treatment of Isolated Fungal Sphenoiditis. - Sergei Karpishchenko; Irina Arustamyan; Olga Stancheva; Kirill Sharko; Dmitrii I. Kaplun; Iryna Shpakouskaya (EUSPN/ICTH, 2023)

Sphenoid sinus disease in geriatric patients: an analytical approach. - Sergei Karpishchenko; Irina Arustamyan; Olga Stancheva; Dmitrii I. Kaplun (EUSPN/ICTH, 2023)

BCAnalyzer: A Semi-automated Tool for the Rapid Quantification of Cell Monolayer from Microscopic Images in Scratch Assay. - Aleksandr Sinitca; Airat R. Kayumov; Pavel V. Zelenikhin; Andrey G. Porfiriev; Dmitrii I. Kaplun; Mikhail Bogachev (IWBBIO (2), 2023)

Mesh denoising in prosthetics manufacturing applications using average filtering, linear heat diffusion and bilateral filtering. - Dmitry I. Kaplun; Alexander S. Voznesenskiy; Alisa Sufelfa; Vyacheslav G. Rybin; Olga I. Brikova (MECO, 2023)

Transfer Learning for Russian Handwriting Recognition. - Andrey Levkov; Dmitry I. Kaplun; Anastasiia Safonova (TSP, 2023)

Optimized MAC Protocol Using Fuzzy-Based Framework for Cognitive Radio AdHoc Networks. - Nandkishor Joshi; Abhishek Kumar 012; Dmitrii V. Minenkov; Dmitry I. Kaplun; Subhash C. Sharma 001 (IEEE Access, 2023)

Segmentation of patchy areas in biomedical images based on local edge density estimation. - Aleksandr M. Sinitca; Airat R. Kayumov; Pavel V. Zelenikhin; Andrey G. Porfiriev; Dmitrii I. Kaplun; Mikhail I. Bogachev (Biomed. Signal Process. Control., 2023)

Using the fuzzy integrals for the ensemble-based segmentation of asphalt cracks. - Gleb Cyganov; Artem Rychenkov; Aleksandr Sinitca; Dmitry I. Kaplun (Ind. Artif. Intell., 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)

Design of low complexity parallel polyphase finite impulse response filter using coefficient symmetry. - Konudula Anjali Rao; Abhishek Kumar 012; Dmitrii I. Kaplun; Sujit Kumar Patel; Neetesh Purohit (IET Circuits Devices Syst., 2023)

Understanding the complex interplay of persistent and antipersistent regimes in animal movement trajectories as a prominent characteristic of their behavioral pattern profiles: Towards an automated and robust model based quantification of anxiety test data. - Mikhail I. Bogachev; Asya I. Lyanova; Aleksandr M. Sinitca; Svetlana A. Pyko; Nikita S. Pyko; Alexander V. Kuzmenko; Sergey A. Romanov; Olga I. Brikova; Margarita Tsygankova; Dmitry Y. Ivkin; Sergey V. Okovityi; Veronika A. Prikhodko; et al. (Biomed. Signal Process. Control., 2023)

Video-based marker-free tracking and multi-scale analysis of mouse locomotor activity and behavioral aspects in an open field arena: A perspective approach to the quantification of complex gait disturbances associated with Alzheimer's disease. - Mikhail Bogachev; Aleksandr Sinitca; Konstantin Grigarevichius; Nikita S. Pyko; Asya I. Lyanova; Margarita Tsygankova; Eldar Davletshin; Konstantin Petrov; Tatyana Ageeva; Svetlana A. Pyko; Dmitry I. Kaplun; Airat R. Kayumov; et al. (Frontiers Neuroinformatics, 2023)

Editorial: Bringing together data- and knowledge-driven solutions for a better understanding and effective diagnostics of neurological disorders. - Dmitrii I. Kaplun; Mikhail Bogachev; Pawan Kumar Singh; Ram Sarkar (Frontiers Neuroinformatics, 2023)

Residue number systems with six modules and efficient circuits based on power-of-two diagonal modulus. - Peter G. Boyvalenkov; Pavel A. Lyakhov; Nataliya Semyonova; Maria V. Valueva; Georgi Boyvalenkov; Dmitrii V. Minenkov; Dmitrii I. Kaplun (Comput. Electr. Eng., 2023)

Role of transfer functions in PSO to select diagnostic attributes for chronic disease prediction: An experimental study. - Samir Malakar; Swaraj Sen; Sergei Romanov; Dmitry I. Kaplun; Ram Sarkar (J. King Saud Univ. Comput. Inf. Sci., 2023)

EDB-Net: An Edge-Guided Dual-Branch Neural Network for Skin Cancer Classification. - Amartya Ray; Soumyajit Gayen; Dmitrii I. Kaplun; Ram Sarkar (ICPR (28), 2024)

Awgunet: Attention-Aided Wavelet Guided U-Net for Nuclei Segmentation in Histopathology Images. - Ayush Roy; Payel Pramanik; Dmitrii I. Kaplun; Sergei Antonov; Ram Sarkar (ISBI, 2024)

A Wavelet Guided Attention Module for Skin Cancer Classification with Gradient-Based Feature Fusion. - Ayush Roy; Sujan Sarkar; Sohom Ghosal; Dmitrii I. Kaplun; Asya I. Lyanova; Ram Sarkar (ISBI, 2024)

Calibration Algorithm for a 3D Scanner Based on 2D Lidar and Visible Light Cameras. - Vyacheslav Gulvanskii; Maxim V. Minenko; Georgii Gavrilov; Lev Bratchenko; Dmitrii I. Kaplun; Zhirong Shen (MECO, 2024)

Using a Shape from Polarization to Determine the 3D Surface of Objects with Thermal Radiation. - Vyacheslav Gulvanskii; Maxim V. Minenko; Georgii Gavrilov; Lev Bratchenko; Dmitrii I. Kaplun; Oleg Zhavoronkov (MECO, 2024)

Effective Hardware Implementation of Convolution with Binary Sequences. - Dmitrii V. Minenkov; Alexander S. Voznesensky; Dianhui Wang 001; Dmitrii I. Kaplun (MECO, 2024)

Oral Cancer Classification Using a Hybrid Attention-Aided Deep Learning Model. - Srinjan Dutta; Jibesh Roy; Diptarka Mandal; Dmitrii I. Kaplun; Irina Shpakovskaya; Ram Sarkar (MICAD, 2024)

BFuse-Net: Bonferroni Mean Operator-Aided Fusion of Neural Networks for Medical Image Classification. - Triyas Ghosh; Soham Chakraborty 008; Dmitrii I. Kaplun; Vyacheslav Gulvanskii; Ram Sarkar (MICAD, 2024)

GRU-Net: Gaussian Attention Aided Dense Skip Connection Based MultiResUNet for Breast Histopathology Image Segmentation. - Ayush Roy; Payel Pramanik; Sohom Ghosal; Daria Valenkova; Dmitrii I. Kaplun; Ram Sarkar (MIUA (1), 2024)

Skin Lesion Classification using a Decentralized Peer-to-Peer Federated Learning Framework. - Sujan Sarkar; Siddhant Majumder; Diptarka Mandal; Vyacheslav Gulvanskii; Dmitrii I. Kaplun; Ram Sarkar (SIPAIM, 2024)

SERAU-Net: Snapshot Ensemble-Aided Region-Aware Attention-Based U-Net for Skin Lesion Segmentation. - Sujan Sarkar; Saptarshi Pani; Alexander S. Voznesensky; Dmitrij I. Kaplun; Ram Sarkar (SIPAIM, 2024)

Instance Segmentation and Teeth Classification in Panoramic X-rays. - Devichand Budagam; Ayush Kumar; Sayan Ghosh; Anuj Shrivastav; Azamat Zhanatuly Imanbayev; Iskander Rafailovich Akhmetov; Dmitrii I. Kaplun; Sergey Antonov; Artem Rychenkov; Gleb Cyganov; Aleksandr Sinitca (CoRR, 2024)

GRU-Net for breast histopathology image segmentation. - Ayush Roy; Payel Pramanik; Sohom Ghosal; Daria Valenkova; Dmitry I. Kaplun; Ram Sarkar (CoRR, 2024)

Design of Frequency Sampling Rational Rate Polyphase FIR Converter. - Konudula Anjali Rao; Abhishek Kumar 012; Sujit Kumar Patel; Dmitry I. Kaplun; Neetesh Purohit (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

Achieving Tunable Erasure Coding with Cluster-Aware Redundancy Transitioning. - Feng Zhang; Fulin Nan; Binbin Xu; Zhirong Shen; Jiebin Zhai; Dmitrii I. Kaplun; Jiwu Shu (ACM Trans. Archit. Code Optim., 2024)

Fusion of Vision and Text Features for Breast Cancer Classification Using a Few-Shot Approach. - Saptarshi Pani; Gouranga Maity; Irina Shpakovskaya; Dmitrii I. Kaplun; Ram Sarkar (CBMS, 2025)

A Vehicle Detection Model from Still Images using Modified RT-DETR with Channel and Spatial Attention Modules. - Sourajit Maity; Vyacheslav Gulvanskii; Dmitrii I. Kaplun; Ram Sarkar (MECO, 2025)

VEGAN: A Vision-language and Edge-enhanced GAN-based Microscopic Medical Image Segmentation Model. - Gouranga Maity; Souvik Pramanik; Diptarka Mandal; Dmitrii I. Kaplun; Vyacheslav Gulvanskii; Ram Sarkar (MECO, 2025)

DeepSpace: Navigating the Frontier of Deepfake Identification Using Attention-Driven Xception and a Task-Specific Subspace. - Ayush Roy; Sk Mohiuddin; Maxim V. Minenko; Dmitrii I. Kaplun; Ram Sarkar (VISIGRAPP (2): VISAPP, 2025)

A fuzzy rank-based ensemble of CNN models for MRI segmentation. - Daria Valenkova; Asya I. Lyanova; Aleksandr Sinitca; Ram Sarkar; Dmitry I. Kaplun (Biomed. Signal Process. Control., 2025)

An experimental study of U-net variants on liver segmentation from CT scans. - Akash Halder; Arup Sau; Surya Majumder; Dmitrii I. Kaplun; Ram Sarkar (J. Intell. Syst., 2025)

TPRepair: Tree-based Pipelined Repair in Clustered Storage Systems. - Jiahui Yang; Fulin Nan; Zhirong Shen; Zhisheng Chen 002; Yuhui Cai; Dmitrii I. Kaplun; Xiaoli Wang 002; Quanqing Xu; Chuanhui Yang; Jiwu Shu (ACM Trans. Archit. Code Optim., 2025)