Nikonorov, Artem V.

2024

• 1 Khonina S.N., Kazanskiy N.L., Oseledets I.V. etc. Synergy between Artificial Intelligence and Hyperspectral Imagining—A Review // Technologies 2024. — Vol. 12. Issue 9. № 9.
• 2 Kazanskiy N.L., Khonina S.N., Oseledets I.V. etc. Revolutionary Integration of Artificial Intelligence with Meta-Optics-Focus on Metalenses for Imaging // Technologies 2024. — Vol. 12. Issue 9. № 9.
• 3 Khonina S.N., Kazanskiy N.L., Efimov A.R. etc. A perspective on the artificial intelligence's transformative role in advancing diffractive optics // iScience 2024. — Vol. 27. Issue 7. № 7.
• 4 Ivliev N., Podlipnov V., Petrov M. etc. 3U CubeSat-Based Hyperspectral Remote Sensing by Offner Imaging Hyperspectrometer with Radially-Fastened Primary Elements // Sensors (Switzerland) 2024. — Vol. 24. Issue 9. № 9.

2014

• 1 NIKONOROV A. V. Коррекция искажений многоспектральных изображений на основе модели спектрально-контурных элементов // Computer Optics 2014. — № т.38 N2. — P. 304-313
• 2 NIKONOROV A.V., BIBIKOV S.A., PETROV M. Deconvolution and Correction Based Approach to Restore Images Captured Using Simple Diffractive Lenses // 9-th Open German-Russian Workshop on PATTERN RECOGNITION and IMAGE UNDERSTANDING. — 2014. — P. 1-4
• 3 Nikonorov A.V. Spectrum shape elements model for correction of multichannel images // Computer Optics 2014. — Vol. 38. Issue 2. — P. 304-313
• 4 Nikonorov A., Bibikov S., Yakimov P. etc. Spectrum shape elements model to correct color and hyperspectral images // 2014 8th IAPR Workshop on Pattern Recognition in Remote Sensing, PRRS 2014. — 2014. —

2005

• 1 Nikonorov A.V. Iterative improvement of estimations using multifractal spectra // Next Generation Concurrent Engineering: Smart and Concurrent Integration of Product Data, Services, and Control Strategies, CE 2005. — 2005. — P. 407-411

2009

• 1 Fursov V.A., Kazanskiy N.L., Nikonorov A.V. Constructing an adaptive color reproduction system with color space reference regions recognition // IFAC Proceedings Volumes (IFAC-PapersOnline). — 2009. — Vol. 13. Issue PART 1. — P. 1754-1759

2010

• 1 NIKONOROV A. V., MINAEV E.Yu., YaKIMOV P.Yu. Efficient Algorithms of Flares Detection with ShapeAnalysis for Real Time CCTV Systems // 10th International Conference«PATTERN RECOGNITION and IMAGE ANALYSIS:NEW INFORMATION TECHNOLOGIES»PRIA-10-2010. — 2010. —
• 2 BIBIKOV S.A., NIKONOROV A. V., FURSOV V.A. Shadow Artifacts Correction on Fine Art Reproductions // Proceedings of IMTA 2010 in conjunction with VISIGRAPP 2010. — 2010. — P. 3-12
• 3 BIBIKOV S.A., MINAEV E.Yu., NIKONOROV A. V. etc. Информационная технология коррекции теневых искажений на цветных цифровых изображениях // Computer Optics 2010. — № Т.34, № 3. — P. 382-391
• 4 FURSOV V.A., NIKONOROV A. V., BIBIKOV S.A. etc. Color images correction -using identification technique // 10th International Conference«PATTERN RECOGNITION and IMAGE ANALYSIS:NEW INFORMATION TECHNOLOGIES»PRIA-10-2010. — 2010. —
• 5 Bibikov S.A., Nikonorov A.V., Fursov V.A. Correction of shadow artifacts on colorful digital images // Computer Optics 2010. — Vol. 34. Issue 1. — P. 124-131
• 6 BIBIKOV S.A., FURSOV V.A., NIKONOROV A. V. etc. Memory Optimization for Recurrent CUDAImage Processing // 10th International Conference«PATTERN RECOGNITION and IMAGE ANALYSIS:NEW INFORMATION TECHNOLOGIES»PRIA-10-2010. — 2010. — P. 279-283
• 7 Bibikov S.A., Minaev E.Y., Nikonorov A.V. etc. Color correction of highlights on digital images // Computer Optics 2010. — Vol. 34. Issue 3. — P. 382-391
• 8 Bibikov S.A., Nikonorov A.V., Fursov V.A. Information technology of retouching of point-like artefacts on color images // Proceedings of the IASTED International Conference on Automation, Control, and Information Technology - Information and Communication Technology, ACIT-ICT 2010. — 2010. — P. 123-126
• 9 Nikonorov A., Bibikov S., Fursov V. Desktop supercomputing technology for shadow correction of color images // SIGMAP 2010 - Proceedings of the International Conference on Signal Processing and Multimedia Applications. — 2010. — P. 124-129

2011

• 1 Nikonorov A., Yakimov P., Minaev E. Effective algorithms of flare detection with analysis of the shape in real-time video surveillance systems // Pattern Recognition and Image Analysis 2011. — Vol. 21. Issue 3. — P. 419-422
• 2 Bibikov S.A., Fursov V.A., Nikonorov A.V. etc. Memory access optimization in recurrent image processing algorithms with CUDA // Pattern Recognition and Image Analysis 2011. — Vol. 21. Issue 3. — P. 377-380
• 3 Minaev E.Yu., NIKONOROV A. V. Fractal Methods for recognition of compact artifacts in color imagesl // 8th open German-Russian Workshop" Pattern Recognition and Image Understanding", OGRW-8-2011 2011. — P. 198-201
• 4 BIBIKOV S.A., FURSOV V.A., NIKONOROV A. V. etc. Memory Optimization for Recurrent CUDA Image Processing // , International Journal of Engineering and Technology 2011. — № Vol.21, N3. — P. 79-82
• 5 NIKONOROV A. V., FURSOV V.A., BIBIKOV S.A. etc. Color images correction- using identification technigue // Patten Recognition and Image Analysis: Advances in Mathematical Theory and Applications,2011, Vol.21,N2 2011. — № Vol.21, N2. — P. 35-38
• 6 Bibikov S.A., Fursov V.A., Nikonorov A.V. Boundaries detection and color correction of shadows in color images // Pattern Recognition and Image Analysis 2011. — Vol. 21. Issue 1. — P. 3-8
• 7 FURSOV V.A., NIKONOROV A. V., Yakimov P.Yu. Stable iir filters identification based on genetic algorithms // 8th Open German-Russion Workshop"Pattern Recognition and Image Understanding", OGRW-8-2011 2011. — P. 71-74
• 8 BIBIKOV S.A., NIKONOROV A. V., FURSOV V.A. etc. Recognition of artifacts in digital images using conjugacy indicator // 8th Open German-Russian Workshop "Pattern recognition and image understanding", OGRW-8-2011 2011. — P. 21-24
• 9 Fursov V.A., Nikonorov A.V., Bibikov S.A. etc. Correction of distortions in color images based on parametric identification // Pattern Recognition and Image Analysis 2011. — Vol. 21. Issue 2. — P. 125-128
• 10 Bibikov S.A., Zakharov R.K., Nikonorov A.V. etc. Detection and color correction of artifacts in digital images // Optoelectronics, Instrumentation and Data Processing 2011. — Vol. 47. Issue 3. — P. 226-232

2012

• 1 NIKONOROV A. V., Minaev E.Yu. Детектирование и распознавание обьектов в системах автомобильной безопасности на основе фрактального анализа. // Computer Optics 2012. — № том 36, N1. — P. 124-130
• 2 Minaev E.Y., Nikonorov A.V. High accuracy pose reconstruction of passive colored marker // Computer Optics 2012. — Vol. 36. Issue 4. — P. 611-616
• 3 NIKONOROV A. V., FURSOV V.A., Yakimov P.Yu. Метод нежесткого размещения в модели многогранников для построения эффективных алгоритмов двумерной рекурсивной обработки изображений на GPU // Computer Optics 2012. — № том 36 N3. — P. 459-464
• 4 Minaev E.Yu., NIKONOROV A. V. Высокоточная реконструкция пространственного положения пассивного цветового маркера по видеопоследовательности // Computer Optics 2012. — № том 36 N4. — P. 289-294
• 5 NIKONOROV A. V., MINAEV E.Yu. Accurate detection of passive marker for pose reconstruction in dental navigation systems. // Разработка новых алгоритмов по обработке цифровых изображений, полученных методом дистанционного зондирования Земли. — 2012. — P. 56-59
• 6 Minaev E.Y., Nikonorov A.V. Object detection and recognition in the driver assistance system based on the fractal analysis // Computer Optics 2012. — Vol. 36. Issue 1. — P. 124-130
• 7 Fursov V., Nikonorov A., Yakimov P. Flexible allocation approach for GPU implementation of 2D IIR filters in satellite images processing // 2012 IAPR Workshop on Pattern Recognition in Remote Sensing, PRRS 2012. — 2012. —
• 8 Nikonorov A.V., Fursov V.A., Yakimov P.Y. Flexible allocation method in polytope model for designing of efficient methods of recursive two-dimensional image processing using GPU // Computer Optics 2012. — Vol. 36. Issue 3. — P. 459-464

2013

• 1 NIKONOROV A. V., FURSOV V.A. Illuminant color correction, using color shape units method // 11-th International Conference on Pattern Recognition and Image Analysis: New Information Technologies (PRIA-11-2013). — 2013. — P. 276-279
• 2 Nikonorov A.V., Minaev E.Y. Fractal recognition of compact artifacts on color images // Pattern Recognition and Image Analysis 2013. — Vol. 23. Issue 4. — P. 455-458
• 3 Nikonorov A., Petrov M., Yakimov P. Traffic sign detection on GPU using color shape regular expressions // Proceedings of the 4th International Workshop on Image Mining. Theory and Applications, IMTA 2013, In Conjunction with VISIGRAPP 2013. — 2013. — P. 63-72
• 4 NIKONOROV A. V., MINAEV E. Yu. | 275584501 High precise detection of the spatial position of a passive color marker in dental navigation systems // 11 th International Conference on Pattern Recognition and Image Analysis: New Information Technologies (PRIA-11-2013). — 2013. — P. 442-444

2015

• 1 Nikonorov A., Kolsanov A., Petrov M. etc. Contrast-to-noise based metric of denoising algorithms for liver vein segmentation // SIGMAP 2015 - 12th International Conference on Signal Processing and Multimedia Applications, Proceedings; Part of 12th International Joint Conference on e-Business and Telecommunications, ICETE 2015. — 2015. — P. 59-67
• 2 Nikonorov A., Bibikov S., Petrov M. etc. Computational correction for imaging through single fresnel lenses // SIGMAP 2015 - 12th International Conference on Signal Processing and Multimedia Applications, Proceedings; Part of 12th International Joint Conference on e-Business and Telecommunications, ICETE 2015. — 2015. — P. 68-75
• 3 Nikonorov A., Skidanov R., Fursov V. etc. Fresnel lens imaging with post-capture image processing // IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. — 2015. — Vol. 2015-October. — P. 33-41

2023

• 1 Pirogov A.V., Nikonorov A., Muzyka A.A. etc. Hyperspectral images neural network analysis of unstained micropreparations // 2023 IX International Conference on Information Technology and Nanotechnology (ITNT). — 2023. —
• 2 Evdokimova V.V., Podlipnov V.V., Ivliev N.A. etc. Hybrid Refractive-Diffractive Lens with Reduced Chromatic and Geometric Aberrations and Learned Image Reconstruction // Sensors (Basel, Switzerland) 2023. — Vol. 23. Issue 1. № 1.
• 3 Bibikov S.A., Petrov M.V., Alekseyev A.P. etc. Color consistency method for cameras with unknown model // Computer Optics 2023. — Vol. 47. Issue 1. № 1. — P. 92-101
• 4 Podlipnov V.V., Firsov N.A., Ivliev N.A. etc. Spectral-spatial neural network classification of hyperspectral vegetation images // IOP Conference Series: Earth and Environmental Science. — 2023. — Vol. 1138. Issue 1. № 1.
• 5 Pavlova M.A., Timofeev V.A., Bocharov D.A. etc. Low-parameter method for delineation of agricultural fields in satellite images based on multi-temporal MSAVI2 data // Computer Optics 2023. — Vol. 47. Issue 3. № 3. — P. 451-463
• 6 Ryskova D.D., Nikonorov A., Pirogov A.V. etc. Neural network classification of soils with different carbon and calcium content based on hyperspectral data // 2023 IX International Conference on Information Technology and Nanotechnology (ITNT). — 2023. —
• 7 Agafonova Y.D., Gaidel A.V., Zelter P.M. etc. Joint analysis of radiological reports and CT images for automatic validation of pathological brain conditions // Computer Optics 2023. — Vol. 47. Issue 1. № 1. — P. 152-159
• 8 Zhong S., Fan B., Liu D. etc. Image Restoration Method of Synthetic Aperture Optical System Based on Sparse Prior // Guangzi Xuebao/Acta Photonica Sinica 2023. — Vol. 52. Issue 4. № 4.
• 9 Stepanenko S.O., Evdokimova V.V., Petrov M.V. etc. Color imaging using a system based on 3 diffractive lenses // Computer Optics 2023. — Vol. 47. Issue 5. № 5. — P. 716-724
• 10 Firsov N.A., Podlipnov V.V., Ivliev N.A. etc. Ensembles of spectral-spatial convolutional neural network models for classifying soil types in hyperspectral images // Computer Optics 2023. — Vol. 47. Issue 5. № 5. — P. 795-805
• 11 Davydov N.S., Evdokimova V.V., Serafimovich P.G. etc. Neural network for step anomaly detection in head motion during fMRI using meta-learning adaptation // Computer Optics 2023. — Vol. 47. Issue 6. № 6. — P. 991-1001

2016

• 1 Nikonorov A., Kolsanov A., Petrov M. etc. Vessel segmentation for noisy CT data with quality measure based on single-point contrast-to-noise ratio // Communications in Computer and Information Science. — 2016. — Vol. 585. — P. 490-507
• 2 Nikonorov A., Petrov M., Bibikov S. etc. Comparative evaluation of deblurring techniques for Fresnel lens computational imaging // Proceedings - International Conference on Pattern Recognition. — 2016. — P. 775-780
• 3 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
• 4 Korabelnikov A.N., Kolsanov A.V., Chaplygin S.S. etc. Liver tumor segmentation ct data based on Alexnet-like convolution neural nets // CEUR Workshop Proceedings. — 2016. — Vol. 1638. — P. 348-356
• 5 Smelkina N.A., Kolsanov A.V., Chaplygin S.S. etc. Injured lung volume estimation on CT data using linear metrics // CEUR Workshop Proceedings. — 2016. — Vol. 1638. — P. 401-410

2017

• 1 Nikonorov A., Petrov M., Yakimov P. etc. Evaluating imaging quality of the offner hyperspectrometer // 2016 9th IAPR Workshop on Pattern Recognition in Remote Sensing, PRRS 2016. — 2017. —
• 2 Nikonorov A.V., Petrov M.V., Bibikov S.A. etc. Image restoration in diffractive optical systems using deep learning and deconvolution // Computer Optics 2017. — Vol. 41. Issue 6. — P. 875-887
• 3 Koush Y., Ashburner J., Prilepin E. etc. Real-time fMRI data for testing OpenNFT functionality // Data in Brief 2017. — Vol. 14. — P. 344-347
• 4 Nikonorov A.V., Petrov M.V., Bibikov S.A. etc. Реконструкция изображений в дифракционно-оптических системах на основе сверточных нейронных сетей и обратной свертки // Computer Optics 2017. — Vol. 41. № 6. — P. 875-887
• 5 Koush Y., Ashburner J., Prilepin E. etc. OpenNFT: An open-source Python/Matlab framework for real-time fMRI neurofeedback training based on activity, connectivity and multivariate pattern analysis // NeuroImage 2017. — Vol. 156. — P. 489-503
• 6 Smelkina N.A., Kosarev R.N., Nikonorov A.V. etc. Reconstruction of anatomical structures using statistical shape modeling // Computer Optics 2017. — Vol. 41. Issue 6. — P. 897-903
• 7 Petrov M., Bibikov S., Yuzifovich Y. etc. Color correction with 3D lookup tables in diffractive optical imaging systems // Procedia Engineering. — 2017. — Vol. 201. — P. 73-82

2018

• 1 Kazanskiy N.L., Morozov A.A., Nikonorov A.V. etc. Experimental study of optical characteristics of a satellite-based Offner hyperspectrometer // Proceedings of SPIE - The International Society for Optical Engineering. — 2018. — Vol. 10774.
• 2 Klyueva M., Boyarkin M., Bychenkov K. etc. Object occlusion recognition to increase an accuracy of ToF-tracking in augmented reality systems // Journal of Physics: Conference Series. — 2018. — Vol. 1096. Issue 1.
• 3 Nikonorov A.V., Petrov M.V., Bibikov S.A. etc. Toward Ultralightweight Remote Sensing with Harmonic Lenses and Convolutional Neural Networks // IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2018. — Vol. 11. Issue 9. — P. 3338-3348
• 4 Nikonorov A., Petrov M., Bibikov S. etc. Deep learning-based enhancement of hyperspectral images using simulated ground truth // 2018 10th IAPR Workshop on Pattern Recognition in Remote Sensing, PRRS 2018. — 2018. —

2019

• 1 Nikonorov A.V., Skidanov R.V., Kutikova V.V. etc. Towards multi-aperture imaging using diffractive lens // Proceedings of SPIE - The International Society for Optical Engineering. — 2019. — Vol. 11146.
• 2 Katkov P.I., Davydov N.S., Khramov A.G. etc. Research on the use of artificial neural networks for the myocardial infarction diagnosis // CEUR Workshop Proceedings. — 2019. — Vol. 2416. — P. 158-164
• 3 Nikonorov A., Evdokimova V., Petrov M. etc. Deep learning-based imaging using single-lens and multi-aperture diffractive optical systems // Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019. — 2019. — P. 3969-3977
• 4 Nikonorov A.V., Skidanov R.V., Evdokimova V.V. etc. Deep learning-based image reconstruction for multi-aperture diffractive lens // Journal of Physics: Conference Series. — 2019. — Vol. 1368. Issue 5.
• 5 Gareev A.M., Minaev E.Y., Stadnik D.M. etc. Machine-learning algorithms for helicopter hydraulic faults detection: Model based research // Journal of Physics: Conference Series. — 2019. — Vol. 1368. Issue 5.
• 6 Alekseev A.P., Goshin E.V., Davydov N.S. etc. Visual-inertial odometry algorithms on the base of thermal camera // CEUR Workshop Proceedings. — 2019. — Vol. 2416. — P. 183-188
• 7 Khripunov P.V., Minaev E.Y., Protsenko V.I. etc. Anomalies detection in social services data in the sphere of digital economy // Journal of Physics: Conference Series. — 2019. — Vol. 1368. Issue 5.

2020

• 1 Evdokimova V., Petrov M., Klyueva M. A. etc. Study of GAN-based image reconstruction for diffractive optical systems // Proceedings of ITNT 2020 - 6th IEEE International Conference on Information Technology and Nanotechnology. — 2020. —
• 2 Kazanskiy N.L., Skidanov R.V., Nikonorov A.V. etc. Intelligent video systems for unmanned aerial vehicles based on diffractive optics and deep learning // Proceedings of SPIE - The International Society for Optical Engineering. — 2020. — Vol. 11516.
• 3 Pashina T.A., Gaydel A. V. , Zelter P.M. etc. Automatic highlighting of the region of interest in computed tomography images of the lungs // Computer Optics 2020. — Vol. 44. Issue 1. — P. 74-81
• 4 Bryukhovetskiy A.S., Brusilovsky L.I., Kozhin S.P. etc. Human mind has microwave electromagnetic nature and can be recorded and processed // Progress in Brain Research 2020. — Vol. 258. — P. 439-463
• 5 Dzyuba A.P., Khonina S.N., Nikonorov A.V. etc. Increasing Depth of Field of Tilted Diffractive Lens in Image Classification Task // 2020 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2020. — 2020. —
• 6 Gareev A., Greshnyakov P., Gimadiev A. G. etc. A data array generating algorithm for diagnosing a hydraulic system using machine learning methods based on a virtual model // CEUR Workshop Proceedings. — 2020. — Vol. 2667. — P. 264-268
• 7 Gareev A., Stadnik D., Popelniuk I. etc. Neural networks with simulated data for the faults detection in hydraulic systems // Proceedings of ITNT 2020 - 6th IEEE International Conference on Information Technology and Nanotechnology. — 2020. —
• 8 Plisko A. S. , Serafimovich P., Davydov N. S. etc. Detection of step displacements in fMRI head motion data based on machine learning // Proceedings of ITNT 2020 - 6th IEEE International Conference on Information Technology and Nanotechnology. — 2020. —
• 9 Dzyuba A.P., Khonina S.N., Nikonorov A.V. etc. Calculation of a binary diffractive optical element to increase the imaging system depth of field in the task of classifying images by a neural network // Journal of Physics: Conference Series. — 2020. — Vol. 1695. Issue 1.

2021

• 1 Gareev A., Protsenko V., Stadnik D. etc. Improved fault diagnosis in hydraulic systems with gated convolutional autoencoder and partially simulated data // Sensors (Switzerland) 2021. — Vol. 21. Issue 13.
• 2 Sludnova A.A., Shutko V.V., Gaydel A. V. etc. Identification of pathological changes in the lungs using an analysis of radiological reports and tomographic images // Computer Optics 2021. — Vol. 45. Issue 2. — P. 261-266
• 3 Ershov E., Savchik A., Semenkov I. etc. Illumination estimation challenge: The experience of the first 2 years // Color Research and Application 2021. — Vol. 46. Issue 4. — P. 705-718
• 4 Serafimovich P.G., Dzyuba A.P., Nikonorov A.V. etc. Using a Binary Diffractive Optical Element to Increase the Imaging System Depth of Field in UAV Remote Sensing Tasks // Lecture Notes in Computer Science. — 2021. — Vol. 12667 LNCS. — P. 566-577
• 5 Evdokimova V.V., Petrov M.V., Klyueva M.A. etc. Deep learning-based video stream reconstruction in mass-production diffractive optical systems // Computer Optics 2021. — Vol. 45. Issue 1. — P. 130-141
• 6 Firsov N.A., Podlipnov V.V., Ivliev N.A. etc. Neural network-aided classification of hyperspectral vegetation images with a training sample generated using an adaptive vegetation index // Computer Optics 2021. — Vol. 45. Issue 6. — P. 887-896
• 7 Zhuravleva O., Savhalova N., Komarov A. V. etc. Computational Analysis of the Aesthetic Content Relating to the Fine-Art Image // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
• 8 Zherdev D., Zherdeva L., Agapov S. etc. Producing synthetic dataset for human fall detection in ar/vr environments // Applied Sciences (Switzerland) 2021. — Vol. 11. Issue 24.
• 9 Zherdeva L., Zherdev D., Nikonorov A. Prediction of human behavior with synthetic data // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —

2022

• 1 Hamandi A.C., Skidanov R.V., Firsov N.A. etc. Hyperspectral imaging of microscopic medical preparations // 2022 8th International Conference on Information Technology and Nanotechnology, ITNT 2022. — 2022. —
• 2 Makarov A.R., Podlipnov V.V., Ivliev N.A. etc. Neural network classification of coffee varieties on hyperspectral images // 2022 8th International Conference on Information Technology and Nanotechnology, ITNT 2022. — 2022. —
• 3 Evdokimova V.V., Bibikov S.A., Nikonorov A.V. Meta-Learning Approach in Diffractive Lens Computational Imaging // Pattern Recognition and Image Analysis 2022. — Vol. 32. Issue 3. № 3. — P. 466-468
• 4 Davydov N.S., Peek L., Auer T. etc. Real-time and Recursive Estimators for Functional MRI Quality Assessment // Neuroinformatics 2022. —
• 5 Nurmukhametov A.L., Sidorchuk D.S., Konovalenko I.A. etc. Spectral Harmonization of UAV and Satellite Data for the Needs of Precision Agriculture // Journal of Communications Technology and Electronics 2022. — Vol. 67. — P. S275-S282
• 6 Zhuravleva O.A., Komarov A. V. , Zherdev D.A. etc. Composition and Symmetries - Computational Analysis of Fine-Art Aesthetics // Lecture Notes in Networks and Systems. — 2022. — Vol. 345 LNNS. — P. 390-402

2004

• 1 Fursov V., Nikonorov A. Constructing the conforming estimates of non-linear model parameters // ECCOMAS 2004 - European Congress on Computational Methods in Applied Sciences and Engineering. — 2004. —
• 2 Semoushin I., Yurjev A., Nikonorov A. Built-in selection of the best adaptation mechanism for ins error model identification // ECCOMAS 2004 - European Congress on Computational Methods in Applied Sciences and Engineering. — 2004. —