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Analyzing theinfluence ofparameters on waterquality usinglogistic regression Evsyukov DmitryGlinscaya AnnaKukartsev Anatoly2024 год

Analyzing the influence of parameters on water quality using logistic regression
доклад, тезисы доклада, статья из сборника материалов конференций

Дополнительные ссылки: eLibrary · Источник статьи
База данных: Каталог библиотеки СФУ
Библиографическое описание: Analyzing the influence of parameters on water quality using logistic regression : доклад, тезисы доклада / D. D. Evsyukov [et al.]. - [S. l. : s. n.], 2024. - Текст : непосредственный // BIO WEB OF CONFERENCES : International Scientific Conference on Biotechnology and Food Technology (BFT-2024) / International Scientific Conference on Biotechnology and Food Technology (BFT-2024) (2024 ; 03.09 - 06.09 ; Saint Petersburg). - Les Ulis, 2024. - 130. - P. 03001. - DOI 10.1051/bioconf/202413003001.
Аннотация: <jats:p>This article explores the application of machine learning techniques to analyze and evaluate water quality. In particular, the article focuses on the use of logistic regression to identify and analyze key parameters affecting the potability of water. The application of logistic regression in water quality analysis not only allows us to build models for prediction, but also to formulate recommendations for improving water treatment and monitoring processes. As a result, the resulting data and models can be used to develop strategies to provide safe drinking water, which is important for the health and well-being of the community. Thus, the article proposes a modern approach to analyzing water quality using logistic regression, which allows for a deeper understanding of the relationships between water parameters and its potability, as well as the development of effective methods for water quality management.</jats:p>
Год издания: 2024
Авторы: Evsyukov Dmitry , Glinscaya Anna , Kukartsev Anatoly , Volneikina Ekaterina , Kukartseva Svetlana
Издательство: Les Ulis
Источник: BIO WEB OF CONFERENCES
Выпуск: 130
Мероприятие: International Scientific Conference on Biotechnology and Food Technology (BFT-2024) (Saint Petersburg, 2024 ; 03.09 - 06.09)
Номера страниц: 03001
Держатель оригинала документа: Bauman Moscow State Technical University, Russian State Agrarian University - Timiryazev Moscow Agricultural Academy, Siberian State University of Science and Technology
Количество экземпляров:
Твёрдая копия издания отсутствует в фонде библиотеки

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