Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Aleksandr N. Grekov"'
Publikováno v:
Forecasting, Vol 6, Iss 2, Pp 343-356 (2024)
Evaluation of water quality and accurate prediction of water pollution indicators are key components in water resource management and water pollution control. The use of biological early warning systems (BEWS), in which living organisms are used as b
Externí odkaz:
https://doaj.org/article/0d81820c1e3843058b98ee9739ef9ae7
Publikováno v:
Sensors, Vol 23, Iss 5, p 2687 (2023)
The use of bivalve mollusks as bioindicators in automated monitoring systems can provide real-time detection of emergency situations associated with the pollution of aquatic environments. The behavioral reactions of Unio pictorum (Linnaeus, 1758) wer
Externí odkaz:
https://doaj.org/article/9ba1435e464f473981f59cc884892753
Autor:
Iurii E. Shishkin, Aleksandr N. Grekov
Publikováno v:
2023 International Russian Smart Industry Conference (SmartIndustryCon).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4278edecd214573bc4c889dce72daac
https://doi.org/10.1109/smartindustrycon57312.2023.10110736
https://doi.org/10.1109/smartindustrycon57312.2023.10110736
Publikováno v:
2022 International Russian Automation Conference (RusAutoCon).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4adf2e3412e06757b1caa3b51b2e1199
https://doi.org/10.1109/rusautocon54946.2022.9896248
https://doi.org/10.1109/rusautocon54946.2022.9896248
Publikováno v:
Metrology
Volume 1
Issue 2
Pages 8-121
Volume 1
Issue 2
Pages 8-121
Determining of the solute mass amount in seawater using in situ measurements in seas and oceans remains now an unresolved problem. To solve it, it is necessary to develop both new methods and instruments for measurements. This article analyzes method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31683b9bcb7db807b204e8cd18e72225
Autor:
Aleksandr N. Grekov, Iurii E. Shishkin
Publikováno v:
2021 International Russian Automation Conference (RusAutoCon).
This paper presents a modified image and video analysis model designed to detect nonhomogeneity and anomalies in the marine environment. Unlike known alternatives, the model can detect natural objects after being trained on scarce data and having acc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d248215a2b3c38244edec0fc500f4bbc
https://doi.org/10.1109/rusautocon52004.2021.9537347
https://doi.org/10.1109/rusautocon52004.2021.9537347
Based on the analysis of existing acoustic methods and instruments, a prototype of an automated instrument has been developed to perform joint measurements in situ of two parameters: sound speed and ultrasound attenuation. The device is based on exis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::efc9439a4d9b6bbf0564f2c672683159
Autor:
Aleksandr N. Grekov, Y. E. Shishkin
Publikováno v:
Monitoring systems of environment. :63-69
This paper proposes an intelligent system concept for automatic monitoring of aquatic en-vironment main parameters in order to detect their anomalies and assess quantitative and qualitative indicators, including the determination of the field under s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3602105c827febdce8c08f3ee2bebb8
https://doi.org/10.33075/2220-5861-2018-4-63-69
https://doi.org/10.33075/2220-5861-2018-4-63-69
Publikováno v:
2019 International Russian Automation Conference (RusAutoCon).
The paper presents a monitoring system based on a distributed network of autonomous surface robots for automated comprehensive monitoring of water parameters across the observed field. It proposes an intelligent decision support system for anomalies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38a895ef57a51c3b7309120f6ce66f16
https://doi.org/10.1109/rusautocon.2019.8867601
https://doi.org/10.1109/rusautocon.2019.8867601
Publikováno v:
2019 International Russian Automation Conference (RusAutoCon).
In the water environment, we are dealing with a complex mixture of pollutants. Modern monitoring systems, mainly based on the physicochemical methods of monitoring the aquatic environment, cannot quickly determine the full range of pollutants and ass
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f458336d29bb1a143fcc067f3e5bc208
https://doi.org/10.1109/rusautocon.2019.8867621
https://doi.org/10.1109/rusautocon.2019.8867621