Intelligent Technologies for Ecomonitoring Data Processing in Conditions of Technogenic Emergencies-Reference-Cited by-同舟云学术

Intelligent Technologies for Ecomonitoring Data Processing in Conditions of Technogenic Emergencies

Published:2022-10-20 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 4th International Conference on Modern Electrical and Energy System (MEES)
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Author:

Bakharev Volodymyr¹,Perekrest Andrii²,Chenchevoi Volodymyr³,Chencheva Olga¹,Malyk Svitlana⁴,Andrii Domanetskyi³

Affiliation:

1. Kremenchuk Mykhailo Ostrohradskyi National University,Department of Civil and Labour Safety, Geodesy and Land Management,Kremenchuk,Ukraine

2. Kremenchuk Mykhailo Ostrohradskyi National University,Department of Computer Engineering and Electronics,Kremenchuk,Ukraine

3. Kremenchuk Mykhailo Ostrohradskyi National University,Department of Systems of Automatic Control and Electric Drive,Kremenchuk,Ukraine

4. Kremenchug Medical College named after V.I. Lytvynenko,Kremenchuk,Ukraine

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10005607/10005603/10005713.pdf?arnumber=10005713

Reference18 articles.

1. On the issue of practical implementation of requirements for determining the locations of automated posts in the atmospheric air monitoring system of technogenically loaded urban systems;kortsova;Visnyk KrNU imeni Mykhayla Ostrohradskoho (Bulletin of Mykhailo Ostrogradsky KrNU),2021

2. Regarding the issue of the zonal principle of assessing the impact of powerful industrial facilities on the state of atmospheric air pollution;kortsova;Ekolohichna bezpeka (Ecological safety),2018

3. Effect of slime and dust emission on micro-cutting when processing carbon-carbon composites

4. Studying and substantiation of the method for normalization of airionic regime at industrial premises at the ultrasonic ionization of air

5. Perspective Technologies of the Treatment of the Wastewaters with High Content of Organic Pollutants and Ammoniacal Nitrogen

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1. Web-Based Technology of Intellectual Analysis of Environmental Data of an Industrial Enterprise;2023 IEEE 5th International Conference on Modern Electrical and Energy System (MEES);2023-09-27