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Kartashov, Oleg O.
140  Ergebnisse:
Personensuche X
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1

Deep Reinforcement Learning Environment Approach Based on N..:

Polyanichenko, Dmitry S. ; Protsenko, Bogdan O. ; Egil, Nikita V..
Materials.  16 (2023)  15 - p. 5321 , 2023
Link: https://doi.org/10.3390/..
 
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2

Artificial Intelligence Approach to Palladium Nanocatalysts..:

, In: Lecture Notes in Networks and Systems; Proceedings of the Seventh International Scientific Conference "Intelligent Information Technologies for Industry" (IITI'23),
Kartashov, Oleg O. ; Polyanichenko, Dmitry S. ; Savvas, Ilias K... - p. 45-54 , 2023
Link: https://doi.org/10.1007/..
 
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3

Online Microfluidic Droplets Characterization Using Microsc..:

Kartashov, Oleg O. ; Chapek, Sergey V. ; Polyanichenko, Dmitry S....
Big Data and Cognitive Computing.  7 (2023)  1 - p. 7 , 2023
Link: https://doi.org/10.3390/..
 
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4

Intelligent Analysis of Optical Microscopy Images for Micro..:

, In: 2023 XXVI International Conference on Soft Computing and Measurements (SCM),
Alexandrov, Alexandr A. ; Kartashov, Oleg O. ; Polyanichenko, Sofja S.... - p. 297-300 , 2023
Link: https://doi.org/10.1109/..
 
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5

Integrated Video and Acoustic Emission Data Fusion for Inte..:

Chernov, Andrey V. ; Savvas, Ilias K. ; Alexandrov, Alexander A....
Sensors.  22 (2022)  21 - p. 8554 , 2022
Link: https://doi.org/10.3390/..
 
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6

Machine Learning and 3D Reconstruction of Materials Surface..:

Kartashov, Oleg O. ; Chernov, Andrey V. ; Alexandrov, Alexander A....
Sensors.  22 (2022)  16 - p. 6201 , 2022
Link: https://doi.org/10.3390/..
 
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7

Intelligent Detection of the Nanomaterials Spatial Structur..:

, In: 2022 XXV International Conference on Soft Computing and Measurements (SCM),
Polyanichenko, Dmitry S. ; Chernov, Andrey V. ; Kartashov, Oleg O.... - p. 254-258 , 2022
Link: https://doi.org/10.1109/..
 
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8

XAS Data Preprocessing of Nanocatalysts for Machine Learnin..:

Kartashov, Oleg O. ; Chernov, Andrey V. ; Polyanichenko, Dmitry S..
Materials.  14 (2021)  24 - p. 7884 , 2021
Link: https://doi.org/10.3390/..
 
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9

Data-Centric Architecture for Self-Driving Laboratories wit..:

Butakova, Maria A. ; Chernov, Andrey V. ; Kartashov, Oleg O..
Nanomaterials.  12 (2021)  1 - p. 12 , 2021
Link: https://doi.org/10.3390/..
 
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10

Deep Learning for the Classification of Charge Density Plot..:

, In: Lecture Notes in Networks and Systems; Artificial Intelligence in Intelligent Systems,
Kartashov, Oleg O. ; Butakova, Maria A. ; Chernov, Andrey V.. - p. 587-593 , 2021
Link: https://doi.org/10.1007/..
 
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11

Knowledge Representation Method for Intelligent Situation A..:

, In: Advances in Intelligent Systems and Computing; Proceedings of the Third International Scientific Conference "Intelligent Information Technologies for Industry" (IITI'18),
Butakova, Maria A. ; Chernov, Andrey V. ; Guda, Alexander N... - p. 225-235 , 2018
Link: https://doi.org/10.1007/..
 
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12

Safe Reinforcement Learning in Simulated Environment of Sel..:

, In: 2021 2nd European Symposium on Software Engineering,
V. Chernov, Andrey ; K. Savvas, Ilias ; A. Butakova, Maria. - p. 78-84 , 2021
Link: https://dl.acm.org/doi/1..
 
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13

Deep Reinforcement Learning Environment Approach Based on N..:

Dmitry S. Polyanichenko ; Bogdan O. Protsenko ; Nikita V. Egil.
Advanced Nanomaterials and Nanotechnology.  , 2023
Link: https://doi.org/10.3390/..
 
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14

Online Microfluidic Droplets Characterization Using Microsc..:

Oleg O. Kartashov ; Sergey V. Chapek ; Dmitry S. Polyanichenko...
https://www.mdpi.com/2504-2289/7/1/7.  , 2023
Link: https://doi.org/10.3390/..
 
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15

Deep Reinforcement Learning Environment Approach Based on N..:

Dmitry S. Polyanichenko ; Bogdan O. Protsenko ; Nikita V. Egil.
https://www.mdpi.com/1996-1944/16/15/5321.  , 2023
Link: https://doi.org/10.3390/..
 
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