Myasnikov, Vladislav V.

2025

• 1 Borisov A.N., Myasnikov V.V., Sergeev V.V. Methods of Spectral Matching of Heterogenous Remote Sensing Images // Optoelectronics, Instrumentation and Data Processing 2025. — Vol. 61. Issue 4. № 4. — P. 422-429
• 2 Konovalov V.F., Myasnikov V.V., Sergeev V.V. Reconstruction of Optical Remote Sensing Images Using Synthetic Aperture Radar Data and Diffusion Neural Networks // Optoelectronics, Instrumentation and Data Processing 2025. — Vol. 61. Issue 4. № 4. — P. 449-457

2013

• 1 MYaSNIKOV V.V., Kuznecov A.V. On constructing a computational procedure for remote sensing data complex authentication // The 11-th International Conference on Pattern Recognition And Image Analysis (PRIA-11). — 2013. —
• 2 MYaSNIKOV V.V., Kuznecov A.V., Glumov N.I. Plain copy-move detection on digital images // The 11-th International Conference on Pattern Recognition And Image Analysis (PRIA-11). — 2013. —
• 3 MYaSNIKOV V.V. Model-based gradient field descriptor for searching and recognition of images // The 11-th International Conference on Pattern Recognition And Image Analysis (PRIA-11). — 2013. —
• 4 MYaSNIKOV V.V., GAShNIKOV M.V., Glumov N.I. etc. Regional Geographic Information System for Natural-Gas Distribution Network Monitoring Network Monitoring // The 11-th International Conference on Pattern Recognition And Image Analysis (PRIA-11). — 2013. —
• 5 Glumov N.I., Kuznetsov A.V., Myasnikov V.V. The algorithm for copy-move detection on digital images // Computer Optics 2013. — Vol. 37. Issue 3. — P. 360-367
• 6 Kuznetsov A.V., Myasnikov V.V. Efficient linear local features based copy-move detection algorithm // Computer Optics 2013. — Vol. 37. Issue 4. — P. 489-495
• 7 Kuznetsov A.V., Myasnikov V.V. Copy-move image forensics detection // Computer Optics 2013. — Vol. 37. Issue 2. — P. 244-253

1996

• 1 Glumov Nicolay I., Myasnikov Vladislav V., Sergeyev Vladislav V. Parallel-recursive local image processing and polynomial bases // Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems. — 1996. — Vol. 2. — P. 696-699
• 2 Myasnikov V.V. Even polynomial bases for image processing by the filters with the axis-symmetric pulse characteristics // Avtometriya 1996. — Issue 1. — P. 80-87

1997

• 1 Glumov N.I., Myasnikov V.V., Sergeyev V.V. Analysis of characteristics of parallel-recursive algorithms of convolution calculation // Proceedings of SPIE - The International Society for Optical Engineering. — 1997. — Vol. 3348. — P. 267-274
• 2 Myasnikov, VV On the modified quality criterion for a procedure to detect objects in spatially-extended fields // SCIA '97 - PROCEEDINGS OF THE 10TH SCANDINAVIAN CONFERENCE ON IMAGE ANALYSIS, VOLS 1 AND 2. — 1997. — P. 405-410

2005

• 1 Myasnikov V.V. On the solution of the recurrent equation used for the FIR-filter implementation // Proceedings of the Second IASTED International Multi-Conference on Automation, Control, and Information Technology - Signal and Image Processing. — 2005. — Vol. 2005. — P. 158-163
• 2 Myasnikov V.V. On recursive computation of the convolution of image and 2-D inseparable FIR-filter // WMSCI 2005 - The 9th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings. — 2005. — Vol. 5. — P. 268-272

2007

• 1 Myasnikov V.V. Fast algorithm for recursive computation of the convolution of an image with a two-dimensional inseparable polynomial FIR filter // Pattern Recognition and Image Analysis 2007. — Vol. 17. Issue 3. — P. 421-427

2008

• 1 Myasnikov V.V., Titova O.A. Efficient convolution algorithms with an FIR representable as a spline // Pattern Recognition and Image Analysis 2008. — Vol. 18. Issue 4. — P. 675-681
• 2 Bavrina A.Yu., Myasnikov V.V. Efficiency of the reduced wise algorithm over a set of convolution algorithms // Pattern Recognition and Image Analysis 2008. — Vol. 18. Issue 4. — P. 592-597
• 3 Myasnikov V.V. Construction of an efficient algorithm over a set of linear convolution algorithms // Pattern Recognition and Image Analysis 2008. — Vol. 18. Issue 4. — P. 671-674
• 4 Bavrina A.Y., Myasnikov V.V. Study of the reduced competent algorithm compared to a set of convolution algorithms // Computer Optics 2008. — Vol. 32. Issue 1. — P. 64-67

2009

• 1 Myasnikov V.V. Stability analysis of the efficient signal linear local filtration algorithm // Computer Optics 2009. — Vol. 33. Issue 2. — P. 193-201

2010

• 1 GAShNIKOV M.V., MYaSNIKOV V.V., Ivanov A.A. Software system for identification of optoelectronic digital imaging systems and estimation of their quality // Proceedings of 10-th International Conference on Pattern Recognition and image analysis: New Information Technologies. — 2010. —
• 2 MYaSNIKOV V.V., Ivanov A.A. Photodetection devices recognition based on analysis of digital images // 10-th International Conference on Pattern Recognition and Image Analysis: New Information Technologies. (PRIA-10-2010). — 2010. —
• 3 BAVRINA A. Yu., MYaSNIKOV V.V., BELOVA O. A. Анализ методов построения эффективных линейных локальных признаков цифровых сигналов и изображений // Computer Optics 2010. — № 3. — P. 374-381
• 4 Kopenkov V.N., Myasnikov V.V. Research the performance of a recursive algorithm of the local discrete wavelet transform // Proceedings - International Conference on Pattern Recognition. — 2010. — P. 4452-4455
• 5 Myasnikov V. Efficient mutually-calculated features for linear local description of signals and images // Proceedings of the IASTED International Conference on Automation, Control, and Information Technology - Information and Communication Technology, ACIT-ICT 2010. — 2010. — P. 29-34
• 6 Myasnikov V.V. Constructing efficient linear local features in image processing and analysis problems // Automation and Remote Control 2010. — Vol. 71. Issue 3. — P. 514-527
• 7 Myasnikov V.V., Bavrina A.Y., Titova O.A. Analysis of methods for construction of efficient linear local features for digital signals and images description // Computer Optics 2010. — Vol. 34. Issue 3. — P. 374-381

2011

• 1 MYaSNIKOV V.V. Эффективные наборы совместно вычисляемых линейных локальных признаков цифровых сигналов // Computer Optics 2011. — № Том 35, № 1. — P. 77-94
• 2 MYaSNIKOV V.V. Сравнение двух подходов к построению наборов линейных локальных признаков цифровых сигналов // Computer Optics 2011. — № Том 35, № 3. — P. 356-367
• 3 Myasnikov V.V. Efficient sets of mutually-calculated features for linear local description of digital signals // Computer Optics 2011. — Vol. 35. Issue 1. — P. 77-94
• 4 Myasnikov V.V., Ivanov A.A., Gashnikov M.V. etc. Computer program for automatic estimation of digital image quality // Pattern Recognition and Image Analysis 2011. — Vol. 21. Issue 3. — P. 415-418
• 5 Myasnikov V.V. Comparison of two approaches to the construction of sets of linear local features of digital signals // Computer Optics 2011. — Vol. 35. Issue 3. — P. 356-367
• 6 Bavrina A.Y., Myasnikov V.V., Sergeev A.V. Method of parametric estimation of optoelectronic tract of remote sensed optical image formation // Computer Optics 2011. — Vol. 35. Issue 4. — P. 500-507

2012

• 1 MYaSNIKOV V.V., KOPENKOV V.N. Алгоритм автоматического построения процедуры локальной нелинейной обработки изображений на основе иерархической регрессии // Computer Optics 2012. — № том 36, №2. — P. 257-265
• 2 MYaSNIKOV V.V. Метод обнаружения транспортных средств на цифровых аэрофото- и космических изображениях дистанционного зондирования Земли // Computer Optics 2012. — № том 36, № 3. — P. 429-438
• 3 MYaSNIKOV V.V. Модельно-ориентированный дескриптор поля градиента как удобный аппарат распознавания и анализа цифровых изображений // Computer Optics 2012. — № том 36, № 4. — P. 596-604
• 4 MYaSNIKOV V.V., Bavrina A.Yu., SERGEEV V.V. etc. Моделирование видеоинформационного тракта оптико-электронных систем дистанционного зондирования Земли: решения, проблемы и задачи // Computer Optics 2012. — № том 36, № 4. — P. 572-585
• 5 Myasnikov V.V. Model-based gradient field descriptor as a convenient tool for image recognition and analysis // Computer Optics 2012. — Vol. 36. Issue 4. — P. 596-604
• 6 Kopenkov V.N., Myasnikov V.V. An algorithm for automatic construction of computational procedure of non-linear local image processing on the base of hierarchical regression // Computer Optics 2012. — Vol. 36. Issue 2. — P. 257-265
• 7 Myasnikov V.V. Method for detection of vehicles in digital aerial and space remote sensed images // Computer Optics 2012. — Vol. 36. Issue 3. — P. 429-438
• 8 Bavrina A.Y., Myasnikov V.V., Sergeyev V.V. etc. Modelling of videoinformational tract of optoelectronic remote sensing systems of earth: Solutions, problems and tasks // Computer Optics 2012. — Vol. 36. Issue 4. — P. 572-585

2014

• 1 Denisova A.Y., Myasnikov V.V. Anomaly detection for hyperspectral imaginary // Computer Optics 2014. — Vol. 38. Issue 2. — P. 287-296
• 2 Kuznetsov A.V., Myasnikov V.V. A comparison of algorithms for supervised classification using hyperspectral data // Computer Optics 2014. — Vol. 38. Issue 3. — P. 494-502
• 3 Kuznetsov A.V., Myasnikov V.V. A fast plain copy-move detection algorithm based on structural pattern and 2D rabin-karp rolling hash // Lecture Notes in Computer Science. — 2014. — Vol. 8814. — P. 461-468
• 4 Kuznetsov A.V., Myasnikov V.V. Algorithms for verification of space images by shooting options // Computer Optics 2014. — Vol. 38. Issue 2. — P. 322-329
• 5 Denisova A.Y., Myasnikov V.V. Algorithms of linear spectral mixture analysis for hyperspectral images using base map // Computer Optics 2014. — Vol. 38. Issue 2. — P. 297-303
• 6 Denisova A., Myasnikov V.V. Fully constrained linear spectral unmixing algorithm for hyperspectral image analys // Computer Optics 2014. — Vol. 38. Issue 4. — P. 782-789
• 7 Agafonov A.A., Myasnikov V.V. An algorithm for traffic flow parameters estimation and prediction using composition of machine learning methods and time series models // Computer Optics 2014. — Vol. 38. Issue 3. — P. 539-549
• 8 Agafonov A.A., Myasnikov V.V. An algorithm for city transport arrival time estimation using adaptive elementary predictions composition // Computer Optics 2014. — Vol. 38. Issue 2. — P. 356-368
• 9 Kopenkov V.N., Myasnikov V.V. The estimation of the traffic flow parameters based on the videoregistration data analysis // Computer Optics 2014. — Vol. 38. Issue 1. — P. 81-86
• 10 Belov A.M., Myasnikov V.V. Atmospheric correction of hyperspectral images using approximate solution of MODTRAN transmittance equation // Computer Optics 2014. — Vol. 38. Issue 3. — P. 489-493

2024

• 1 Kozlova Y.K., Myasnikov V.V. Head model reconstruction and animation method using color image with depth information // Computer Optics 2024. — Vol. 48. Issue 1. № 1. — P. 118-122
• 2 Agafonov A., Yumaganov A., Myasnikov V. Adaptive Traffic Signal Control by Choosing Phase Duration // 2024 10th International Conference on Information Technology and Nanotechnology, ITNT 2024. — 2024. —
• 3 Yumaganov A., Agafonov A., Myasnikov V. Reinforcement learning based adaptive traffic signal control method invariant to the configuration of the traffic lights // 2024 10th International Conference on Information Technology and Nanotechnology, ITNT 2024. — 2024. —
• 4 Konovalov V.F., Myasnikov V. Study of Colorization and Super-Resolution Efficiency in Image Restoration // 2024 10th International Conference on Information Technology and Nanotechnology, ITNT 2024. — 2024. —
• 5 Yumaganov A.S., Agafonov A.A., Myasnikov V.V. Reinforcement learning-based adaptive traffic signal control invariant to traffic signal configuration; [Адаптивное управление сигналами светофоров на основе обучения с подкреплением, инвариантное к конфигурации светофорного объекта] // Computer Research and Modeling 2024. — Vol. 16. Issue 5. № 5. — P. 1253-1269
• 6 Borisov A.N., Myasnikov V.V., Sergeev V.V. Method of automatic coregistration of digital remote sensing images from different sources // Computer Optics 2024. — Vol. 48. Issue 6. № 6. — P. 932-943
• 7 Konovalov V.F., Myasnikov V.V., Sergeev V.V. A unified neural network-based single super-resolution method for heterogeneous digital earth remote sensing images // Computer Optics 2024. — Vol. 48. Issue 6. № 6. — P. 944-955

2015

• 1 Kopenkov V.N., Myasnikov V.V. Detection and tracking of vehicles based on the videoregistration information // 23rd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2015 - Posters Proceedings. — 2015. — P. 65-68
• 2 Kuznetsov A., Myasnikov V. New algorithms for satellite data verification with and without the use of the imaged area vector data // 23rd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2015 - Short Papers Proceedings. — 2015. — P. 1-7
• 3 Myasnikov V. Efficient linear local features of digital signals and images: Computational and qualitative properties // 23rd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2015 - Short Papers Proceedings. — 2015. — P. 33-40
• 4 Denisova A.Yu., Myasnikov V.V. Anomaly detection using spectral mismatch between anomaly pattern and its neighborhood // 23rd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2015 - Short Papers Proceedings. — 2015. — P. 41-47
• 5 Gashnikov M.V., Glumov N.I., Myasnikov V.V. etc. Regional geographic information systems for gas network monitoring // Pattern Recognition and Image Analysis 2015. — Vol. 25. Issue 3. — P. 418-422
• 6 Agafonov A., Myasnikov V. An Adaptive Algorithm for Public Transport Arrival Time Prediction Based on Hierarhical Regression // IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC. — 2015. — Vol. 2015-October. — P. 2776-2781
• 7 Agafonov A., Myasnikov V. Traffic flow forecasting algorithm based on combination of adaptive elementary predictors // Communications in Computer and Information Science. — 2015. — Vol. 542. — P. 163-174
• 8 Vorobiova N.S., Denisova A.Y., Kuznetsov A.V. etc. How to use geoinformation technologies and space monitoring for controlling the agricultural sector in Samara region // Pattern Recognition and Image Analysis 2015. — Vol. 25. Issue 2. — P. 347-353
• 9 Belov A.M., Myasnikov V.V. Atmospheric correction of hyperspectral images based on approximate solution of transmittance equation // Proceedings of SPIE - The International Society for Optical Engineering. — 2015. — Vol. 9445.
• 10 Myasnikov V.V. A model-based gradient field descriptor as an efficient tool for recognizing and analyzing digital images // Pattern Recognition and Image Analysis 2015. — Vol. 25. Issue 1. — P. 60-67
• 11 Myasnikov V.V. A local order transform of digital images // Computer Optics 2015. — Vol. 39. Issue 3. — P. 397-405
• 12 Glumov N.I., Kuznetsov A.V., Myasnikov V.V. Algorithms for detection of plain copy-move regions in digital images // Pattern Recognition and Image Analysis 2015. — Vol. 25. Issue 3. — P. 423-429
• 13 Kuznetsov A.V., Myasnikov V.V. Sequential computational procedure for remote sensing data forgery detection // Pattern Recognition and Image Analysis 2015. — Vol. 25. Issue 4. — P. 645-653
• 14 Kuznetsov A., Myasnikov V. Remote sensing data verification using model-oriented descriptors // Communications in Computer and Information Science. — 2015. — Vol. 542. — P. 96-101
• 15 Kuznetsov A., Myasnikov V. An evaluation of popular hyperspectral images classification approaches // Proceedings of SPIE - The International Society for Optical Engineering. — 2015. — Vol. 9875.

2016

• 1 Kuznetsov A.V., Myasnikov V.V. Using Efficient Linear Local Features in the Copy-move Forgery Detection Task // The 5th International Conference on Analysis of Images, Social networks, and Texts (AIST-2016). — 2016. — P. 293-302
• 2 Kuznetsov A., Myasnikov V. A copy-move detection algorithm using binary gradient contours // Lecture Notes in Computer Science. — 2016. — Vol. 9730. — P. 349-357
• 3 Denisova A.Y., Myasnikov V.V. Atmospheric correction of hyperspectral images using small volume of the verified data // Computer Optics 2016. — Vol. 40. Issue 4. — P. 526-534
• 4 Kuznetsov A.V., Myasnikov V.V. New algorithms for verifying the consistency between satellite images and survey conditions // Pattern Recognition and Image Analysis 2016. — Vol. 26. Issue 3. — P. 593-596
• 5 Denisova A.Y., Zhuravel Y.N., Myasnikov V.V. Estimation of parameters of a linear spectral mixture for hyperspectral images with atmospheric distortions // Computer Optics 2016. — Vol. 40. Issue 3. — P. 380-387
• 6 Denisova A., Juravel Y., Myasnikov V. Linear spectral mixture analysis of hyperspectral images with atmospheric distortions // Lecture Notes in Computer Science. — 2016. — Vol. 9972 LNCS. — P. 134-141
• 7 Agafonov A., Myasnikov V. Reliable routing in stochastic time-dependent network with the use of actual and forecast information of the traffic flows // IEEE Intelligent Vehicles Symposium, Proceedings. — 2016. — Vol. 2016-August. — P. 1168-1172
• 8 Nikonorov A., Bibikov S., Myasnikov V. etc. Correcting color and hyperspectral images with identification of distortion model // Pattern Recognition Letters 2016. — Vol. 83. — P. 178-187
• 9 Yumaganov A.S., Myasnikov V.V. Similarity search over program code sequences using featureless pattern recognition techniques // CEUR Workshop Proceedings. — 2016. — Vol. 1638. — P. 437-443
• 10 Myasnikov V.V. Analysis of efficient linear local features of digital signals and images // Pattern Recognition and Image Analysis 2016. — Vol. 26. Issue 1. — P. 22-33
• 11 Kuznetsov A.V., Myasnikov V.V. A copy-move detection algorithm based on binary gradient contours // Computer Optics 2016. — Vol. 40. Issue 2. — P. 284-293
• 12 Agafonov A.A., Myasnikov V.V. Method for the reliable shortest path search in time-dependent stochastic networks and its application to GIS-based traffic control // Computer Optics 2016. — Vol. 40. Issue 2. — P. 275-283
• 13 Gashnikov M.V., Glumov N.I., Kuznetsov A.V. etc. Hyperspectral remote sensing data compression and protection // Computer Optics 2016. — Vol. 40. Issue 5. — P. 689-712
• 14 Kopenkov V.N., Myasnikov V.V. Development of an algorithm for automatic construction of a computational procedure of local image processing, based on the hierarchical regression // Computer Optics 2016. — Vol. 40. Issue 5. — P. 713-720
• 15 Belov A.M., Myasnikov V.V. Research of the atmospheric correction method based on approximate solution of MODTRAN transmittance equation // CEUR Workshop Proceedings. — 2016. — Vol. 1638. — P. 256-262
• 16 Agafonov A., Myasnikov V. Structural optimization of the travel time prediction model based on hierarchical regression // CEUR Workshop Proceedings. — 2016. — Vol. 1710. — P. 1-9

2017

• 1 Gashnikov M.V., Myasnikov V.V. Detection of informative fragments for image quality assessment // Proceedings of SPIE - The International Society for Optical Engineering. — 2017. — Vol. 10341.
• 2 Evdokimova N., Myasnikov V. An algorithm for image time series forgery detection based on the anomalies detection // CEUR Workshop Proceedings. — 2017. — Vol. 1975. — P. 217-223
• 3 Myasnikov V.V. Description of images using model-oriented descriptors // Computer Optics 2017. — Vol. 41. Issue 6. — P. 888-896
• 4 Kuznetsov A., Myasnikov V. A new copy-move forgery detection algorithm using image preprocessing procedure // Procedia Engineering. — 2017. — Vol. 201. — P. 436-444
• 5 Borodinov A.A., Myasnikov V.V. Comparison of classification algorithms in the task of object recognition on radar images of the MSTAR base // CEUR Workshop Proceedings. — 2017. — Vol. 1901. — P. 37-41
• 6 Agafonov A., Myasnikov V. Efficiency comparison of the routing algorithms used in centralized traffic management systems // Procedia Engineering. — 2017. — Vol. 201. — P. 265-270
• 7 Kuznetsov A., Myasnikov V. Using efficient linear local features in the copy-move forgery detection task // Communications in Computer and Information Science. — 2017. — Vol. 661. — P. 305-313
• 8 Yumaganov A.S., Myasnikov V.V. Comparison of the ways of the program's code initial description in the problem of similar code sequences search // Procedia Engineering. — 2017. — Vol. 201. — P. 445-452
• 9 Denisova A., Myasnikov V. Atmospheric correction of hyperspectral images using qualitative information about registered scene // Proceedings of SPIE - The International Society for Optical Engineering. — 2017. — Vol. 10341.
• 10 Belov A.M., Verichev A.V., Myasnikov V.V. Two-dimensional peak filter in almost linear time // Procedia Engineering. — 2017. — Vol. 201. — P. 408-416
• 11 Yumaganov A.S., Myasnikov V.V. A method of searching for similar code sequences in executable binary files using a featureless approach // Computer Optics 2017. — Vol. 41. Issue 5. — P. 756-764

2018

• 1 Agafonov A.A., Yumaganov A.S., Myasnikov V.V. Big data analysis in a geoinformatic problem of short-term traffic flow forecasting based on a K nearest neighbors method // Computer Optics 2018. — Vol. 42. Issue 6. — P. 1101-1111
• 2 Myasnikov V.V. Description of images using a configuration equivalence relation // Computer Optics 2018. — Vol. 42. Issue 6. — P. 988-1007
• 3 Borodinov A.A., Myasnikov V.V. Influence of preprocessing of radar images on neural network recognition accuracy // Proceedings of SPIE - The International Society for Optical Engineering. — 2018. — Vol. 10788.
• 4 Agafonov A.A., Myasnikov V.V. Vehicle routing algorithms based on a route reservation approach // Journal of Physics: Conference Series. — 2018. — Vol. 1096. Issue 1.
• 5 Dmitriev Egor Andreevich, Myasnikov V.V. Сравнительный анализ алгоритмов описания комплекснозначного поля градиента цифровых изображений с помощью линейных методов снижения размерности // Computer Optics 2018. — Vol. 42. № 5. — P. 822-828
• 6 Dmitriev E.A., Myasnikov V.V. Comparative study of description algorithms for complex-valued gradient fields of digital images using linear dimensionality reduction methods // Computer Optics 2018. — Vol. 42. Issue 5. — P. 822-828
• 7 Borodinov A.A., Myasnikov V.V. Classification of radar images with different methods of image preprocessing // CEUR Workshop Proceedings. — 2018. — Vol. 2210. — P. 6-13
• 8 Borodinov A.A., Myasnikov V.V. Comparison of classification algorithms for various methods of preprocessing radar images of the MSTAR base // Proceedings of SPIE - The International Society for Optical Engineering. — 2018. — Vol. 10696.
• 9 Kuznetsov A., Myasnikov V. Satellite image forgery detection based on buildings shadows analysis // Lecture Notes in Computer Science. — 2018. — Vol. 10716 LNCS. — P. 231-236
• 10 Zyuzin V., Sergey P., Mukhtarov A. etc. Identification of the left ventricle endocardial border on two-dimensional ultrasound images using the convolutional neural network Unet // Proceedings - 2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2018. — 2018. — P. 76-78
• 11 Evdokimova N.I., Myasnikov V.V. Detecting forgery in image time series based on anomaly detection // CEUR Workshop Proceedings. — 2018. — Vol. 2210. — P. 184-192
• 12 Yumaganov A.S., Myasnikov V.V. Searching for similar code sequences in executable files based on the structural analysis of functions // Journal of Physics: Conference Series. — 2018. — Vol. 1096. Issue 1.
• 13 Kuznetsov A.V., Myasnikov V.V. New scheme for fast copy-move detection // Journal of Physics: Conference Series. — 2018. — Vol. 1096. Issue 1.
• 14 Agafonov A.A., Myasnikov V.V. Numerical route reservation method in the geoinformatic task of autonomous vehicle routing // Computer Optics 2018. — Vol. 42. Issue 5. — P. 912-920

2019

• 1 Evdokimova N.I., Myasnikov V.V. The image series forgery detection algorithm based on the camera pattern noise analysis // CEUR Workshop Proceedings. — 2019. — Vol. 2391. — P. 258-263
• 2 Dmitriev E.A., Myasnikov V.V. An approach for configuration of the equivalence relation // Journal of Physics: Conference Series. — 2019. — Vol. 1368. Issue 3.
• 3 Dmitriev E.A., Myasnikov V.V. Comparative study of feature extraction algorithms for complex-valued gradient fields of digital images using linear dimensionality reduction methods // Proceedings of SPIE - The International Society for Optical Engineering. — 2019. — Vol. 11041.
• 4 Dmitriev E.A., Myasnikov V.V. Possibility estimation of 3D scene reconstruction from multiple images // CEUR Workshop Proceedings. — 2019. — Vol. 2391. — P. 293-296
• 5 Myasnikov V.V., Dmitriev E.A. The accuracy dependency investigation of simultaneous localization and mapping on the errors from mobile device sensors // Computer Optics 2019. — Vol. 43. Issue 3. — P. 492-503
• 6 Agafonov A., Myasnikov V. Stochastic on-time arrival problem with levy stable distributions // 4th International Conference on Intelligent Transportation Engineering, ICITE 2019. — 2019. — P. 227-231
• 7 Borodinov A.A., Myasnikov V.V. Analysis of the preferences of public transport passengers in the task of building a personalized recommender system // CEUR Workshop Proceedings. — 2019. — Vol. 2391. — P. 198-205
• 8 Myasnikov V.V. Reconstruction of functions and digital images using sign representations // Computer Optics 2019. — Vol. 43. Issue 6. — P. 1041-1052
• 9 Myasnikov V.V. Reconstruction of functions and digital images using sign representations // Computer Optics 2019. — Vol. 43. Issue 6. — P. 1041-1052
• 10 Agafonov A.A., Myasnikov V.V. Method for reliable shortest path determination in stochastic networks using parametrically defined stable probability distributions // SPIIRAS Proceedings 2019. — Vol. 18. Issue 3. — P. 557-581
• 11 Agafonov A.A., Myasnikov V.V., Maksimov A.I. Approximation of the road segments travel time using Levy distributions in the reliable shortest path problem // Journal of Physics: Conference Series. — 2019. — Vol. 1368. Issue 3.
• 12 Agafonov A., Myasnikov V., Borodinov A. Anticipatory Vehicle Routing in Stochastic Networks Using Multi-Agent System // Proceedings - 2019 21st International Conference "Complex Systems: Control and Modeling Problems", CSCMP 2019. — 2019. — Vol. 2019-September. — P. 91-95

2020

• 1 Myasnikov V.V. Impact of mobile device sensors errors on SLAM problem solution // Proceedings of SPIE - The International Society for Optical Engineering. — 2020. — Vol. 11433.
• 2 Borodinov A., Agafonov A., Myasnikov V. A Method of Preference and Utility Elicitation by Pairwise Comparisons and its Application to Intelligent Transportation Recommendation Systems // 10th International Conference on Information Science and Technology, ICIST 2020. — 2020. — P. 77-85
• 3 Yumaganov A., Agafonov A., Myasnikov V. Map Matching Algorithm Based on Dynamic Programming Approach // Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, FedCSIS 2020. — 2020. — P. 563-566
• 4 Yuzkiv R.R., Fedoseev V.A., Myasnikov V.V. etc. Methods for early recognition of OFDM data // Computer Optics 2020. — Vol. 44. Issue 1. — P. 60-66
• 5 Borodinov A., Myasnikov V. A method of user preference elicitation by pairwise comparisons // CEUR Workshop Proceedings. — 2020. — Vol. 2665. — P. 50-53
• 6 Borodinov A.A., Myasnikov V.V. Evaluating classifiers to determine user-preferred stops in a personalized recommender system // Proceedings of SPIE - The International Society for Optical Engineering. — 2020. — Vol. 11433.
• 7 Bavrina A., Myasnikov V., Yuzkiv R. Parameterizable LSB watermarking method with adaptive key generation // Proceedings of ITNT 2020 - 6th IEEE International Conference on Information Technology and Nanotechnology. — 2020. —
• 8 Myasnikov V., Verichev A. Image Inpainting as a Quadratic Programming Task // Proceedings of ITNT 2020 - 6th IEEE International Conference on Information Technology and Nanotechnology. — 2020. —
• 9 Borodinov A.A., Myasnikov V.V. Method of determining user preferences for the personalized recommender systems for public transport passengers // Communications in Computer and Information Science. — 2020. — Vol. 1086CCIS. — P. 341-351
• 10 Borodinov A., Myasnikov V., Yumaganov A. A dataset for determining user preferences of users on personal vehicles // CEUR Workshop Proceedings. — 2020. — Vol. 2665. — P. 118-121
• 11 Myasnikov V.V. Reconstruction of functions and digital images using sign representations // Computer Optics 2020. — Vol. 44. Issue 6. — P. 1041-1052

2021

• 1 Agafonov A., Yumaganov A., Myasnikov V. Determining the Optimal Number of Features for User Preference Elicitation in Recommender Systems // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
• 2 Agafonov A., Myasnikov V. Reconstruction of User Trips on Public Transport Using Indirect Information // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
• 3 Myasnikov V.V., Agafonov A.A., Yumaganov A.S. A deterministic predictive traffic signal control model in intelligent transportation and geoinformation systems // Computer Optics 2021. — Vol. 45. Issue 6. — P. 917-925
• 4 Borisov A., Myasnikov V. Implementation of foveated self-similarity filter for GPU // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
• 5 Yumaganov A., Agafonov A., Myasnikov V. An Improved Map Matching Algorithm Based on Dynamic Programming Approach // Lecture Notes in Business Information Processing. — 2021. — Vol. 413 LNBIP. — P. 87-102
• 6 Agafonov A., Myasnikov V. Traffic Signal Control: A Double Q-learning Approach // Proceedings of the 16th Conference on Computer Science and Intelligence Systems, FedCSIS 2021. — 2021. — P. 365-369
• 7 Kozlov D., Myasnikov V. Development of an Autonomous Robotic System Using the Graph-based SPLAM Algorithm // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
• 8 Agafonov A., Myasnikov V. Short-Term Traffic Flow Prediction in a Partially Connected Vehicle Environment // Proceedings - 2021 3rd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency, SUMMA 2021. — 2021. — P. 968-972

2022

• 1 Ganeeva Y., Myasnikov V. The impact of intermediate video frames reconstruction step on the result of 3D reconstruction of objects // 2022 8th International Conference on Information Technology and Nanotechnology, ITNT 2022. — 2022. —
• 2 Agafonov A., Yumaganov A., Myasnikov V. Adaptive Traffic Signal Control Based on Maximum Weighted Traffic Flow // 2022 8th International Conference on Information Technology and Nanotechnology, ITNT 2022. — 2022. —
• 3 Kozlov D., Myasnikov V. The impact of a set of environmental observations in the problem of acquiring movement skills in three-dimensional space using reinforcement learning algorithms // 2022 8th International Conference on Information Technology and Nanotechnology, ITNT 2022. — 2022. —
• 4 Agafonov A.A., Myasnikov V.V. Hybrid Prediction-Based Approach for Traffic Signal Control Problem // Optical Memory and Neural Networks (Information Optics) 2022. — Vol. 31. Issue 3. № 3. — P. 277-287
• 5 Agafonov A., Yumaganov A., Myasnikov V. An Algorithm for Cooperative Control of Traffic Signals and Vehicle Trajectories // Proceedings - 2022 4th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency, SUMMA 2022. — 2022. — P. 675-680
• 6 Agafonov A.A., Yumaganov A.S., Myasnikov V.V. Adaptive Traffic Signal Control Based on Neural Network Prediction of Weighted Traffic Flow // Optoelectronics, Instrumentation and Data Processing 2022. — Vol. 58. Issue 5. № 5. — P. 503-513

2023

• 1 Yumaganov A., Agafonov A., Myasnikov V. Cooperative Application of Vehicular Traffic Rerouting Method and Adaptive Traffic Signal Control Method // 2023 IX International Conference on Information Technology and Nanotechnology (ITNT). — 2023. —
• 2 Agafonov A., Yumaganov A., Myasnikov V. Efficiency of Adaptive Traffic Signal Control in a Partially Connected Vehicle Environment // 2023 IX International Conference on Information Technology and Nanotechnology (ITNT). — 2023. —
• 3 Kozlov D., Myasnikov V. Ensemble Method for Reinforcement Learning Algorithms Based on Hierarchy // 2023 IX International Conference on Information Technology and Nanotechnology (ITNT). — 2023. —
• 4 Agafonov A.A., Yumaganov A., Myasnikov V. Cooperative Control for Signalized Intersections in Intelligent Connected Vehicle Environments // MATHEMATICS 2023. — Vol. 11. Issue 6. № 6.

1995

• 1 Glumov N.I., Myasnikov V.V., Sergeyev Vladislav V. Application of polynomial bases for image processing using sliding window // Proceedings of SPIE - The International Society for Optical Engineering. — 1995. — Vol. 2363. — P. 40-49