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Sukhov, Sergey
134  results:
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1

Spiking Neural Networks Training with Combined Hebbian Rule:

, In: 2024 X International Conference on Information Technology and Nanotechnology (ITNT),
Antonov, Dmitry ; Batuev, Bulat ; Sukhov, Sergey - p. 1-5 , 2024
Link: https://doi.org/10.1109/..
 
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2

Determining the directions of information flow between popu..:

, In: 2024 X International Conference on Information Technology and Nanotechnology (ITNT),
Batuev, Bulat ; Sukhov, Sergey - p. 1-5 , 2024
Link: https://doi.org/10.1109/..
 
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3

Knowledge fusion by pruning in spiking neural networks:

, In: 2022 VIII International Conference on Information Technology and Nanotechnology (ITNT),
Antonov, Dmitry ; Sukhov, Sergey - p. 1-6 , 2022
Link: https://doi.org/10.1109/..
 
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4

The cost mechanism digital transformation in international ..:

Tagiltseva, Julia ; Vasilenko, Marina ; Kuzina, Elena...
Transportation Research Procedia.  63 (2022)  - p. 271-276 , 2022
Link: https://doi.org/10.1016/..
 
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5

Data Extraction of Charts with Hybrid Deep Learning Model:

, In: Computational Science and Its Applications – ICCSA 2021; Lecture Notes in Computer Science,
Sviatov, Kirill ; Yarushkina, Nadezhda ; Sukhov, Sergey - p. 382-393 , 2021
Link: https://doi.org/10.1007/..
 
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6

Prevention of catastrophic interference and imposing active..:

Sukhov, Sergey ; Leontev, Mikhail ; Miheev, Alexander.
Neurocomputing.  400 (2020)  - p. 73-85 , 2020
Link: https://doi.org/10.1016/..
 
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7

Quality metrics of variational autoencoders:

, In: 2020 International Conference on Information Technology and Nanotechnology (ITNT),
Leontev, Mikhail ; Mikheev, Alexander ; Sviatov, Kirill. - p. 1-5 , 2020
Link: https://doi.org/10.1109/..
 
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8

Detection of Scenes Features for Path Following on a Local ..:

, In: Recent Research in Control Engineering and Decision Making; Studies in Systems, Decision and Control,
Sviatov, Kirill ; Miheev, Alexander ; Lapshov, Yuriy.. - p. 272-285 , 2020
Link: https://doi.org/10.1007/..
 
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9

Detection of Obstacle Features Using Neural Networks with A..:

, In: Computational Science and Its Applications – ICCSA 2020; Lecture Notes in Computer Science,
Sviatov, Kirill ; Miheev, Alexander ; Sukhov, Sergey.. - p. 1013-1026 , 2020
Link: https://doi.org/10.1007/..
 
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10

Overcoming Catastrophic Interference with Bayesian Learning..:

, In: Advances in Neural Networks – ISNN 2019; Lecture Notes in Computer Science,
Leontev, Mikhail ; Mikheev, Alexander ; Sviatov, Kirill. - p. 370-378 , 2019
Link: https://doi.org/10.1007/..
 
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11

Scenes Segmentation in Self-driving Car Navigation System U..:

, In: Computational Science and Its Applications – ICCSA 2019; Lecture Notes in Computer Science,
Sviatov, Kirill ; Miheev, Alexander ; Kanin, Daniil.. - p. 278-289 , 2019
Link: https://doi.org/10.1007/..
 
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12

Optomechanical Manipulation with Hyperbolic Metasurfaces:

Ivinskaya, Aliaksandra ; Kostina, Natalia ; Proskurin, Alexey...
ACS Photonics.  5 (2018)  11 - p. 4371-4377 , 2018
Link: https://doi.org/10.1021/..
 
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13

Non-conservative optical forces:

Sukhov, Sergey ; Dogariu, Aristide
Reports on Progress in Physics.  80 (2017)  11 - p. 112001 , 2017
Link: https://doi.org/10.1088/..
 
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14

Babinet's principle for mutual intensity:

Sukhov, Sergey ; Batarseh, Mahed ; Naraghi, Roxana Rezvani...
Optics Letters.  42 (2017)  19 - p. 3980 , 2017
Link: https://doi.org/10.1364/..
 
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15

Monte Carlo method to model optical coherence propagation i..:

Shen, Zhean ; Sukhov, Sergey ; Dogariu, Aristide
Journal of the Optical Society of America A.  34 (2017)  12 - p. 2189 , 2017
Link: https://doi.org/10.1364/..
 
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