Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Glinscaya Anna"'
Publikováno v:
E3S Web of Conferences, Vol 592, p 05022 (2024)
This article discusses the principles of modeling the casting process for casting parts - “Barrel”. A detailed overview of the casting drawing is provided, as well as the designed 3D model according to this drawing. The values of allowances for t
Externí odkaz:
https://doaj.org/article/3c64ff672f4447788f50987eb4fbe2e5
Publikováno v:
BIO Web of Conferences, Vol 130, p 03003 (2024)
This article considers the application of the random forest algorithm to build a model designed to assess water quality and analyze its impact on agro-industrial complex. The main objective of the study is to identify the key factors affecting water
Externí odkaz:
https://doaj.org/article/5ce93157ac5341a484c5d49959bf0b0a
Autor:
Evsyukov Dmitry, Glinscaya Anna, Kukartsev Anatoly, Volneikina Ekaterina, Kukartseva Svetlana
Publikováno v:
BIO Web of Conferences, Vol 130, p 03001 (2024)
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.
Externí odkaz:
https://doaj.org/article/38212b8b67f947d3a58985b38b88ddeb
Publikováno v:
BIO Web of Conferences, Vol 130, p 03002 (2024)
The paper investigates the application of the decision tree method for analyzing and predicting water quality. The main objective of the study is to identify the key physical and chemical parameters that affect the potability of water. The Decisive T
Externí odkaz:
https://doaj.org/article/ecd3b9aea7e64c7580c207077ea78a73
Autor:
Glinscaya Anna, Kukartsev Vladislav, Stepantsevich Marina, Pchelintseva Svetlana, Nikanorov Mikhail
Publikováno v:
BIO Web of Conferences, Vol 130, p 02010 (2024)
This paper presents an analysis of soil quality using statistical methods. The study includes correlation analysis to identify key relationships between various soil and environmental parameters, and regression analysis to quantify the influence of t
Externí odkaz:
https://doaj.org/article/b9c1bb47b1624bc99a64609b692208f3
Publikováno v:
E3S Web of Conferences, Vol 549, p 05009 (2024)
In this paper the main devices for the production of compressed air - compressors are considered. The text describes their classification according to the principle of operation and principles of operation, which shows one of the principle air circui
Externí odkaz:
https://doaj.org/article/df3fc467e89b473da9395376f508082f
Publikováno v:
E3S Web of Conferences, Vol 549, p 09018 (2024)
In modern organizations, the use of automated platforms play a key role in optimizing electronic document management and systems analysis. This paper discusses effective electronic document management and systems analysis using an automated platform.
Externí odkaz:
https://doaj.org/article/932571a57e1445c786c3466cac6f1ce5
Publikováno v:
BIO Web of Conferences, Vol 116, p 03015 (2024)
The article examines the application of statistical data analysis algorithms in diagnostics and the identification of significant factors influencing observed phenomena. The use of statistical methods, such as multiple regression, logistic regression
Externí odkaz:
https://doaj.org/article/d26d5700c81a4c2e95606ec7c55a2590
Publikováno v:
BIO Web of Conferences, Vol 116, p 05003 (2024)
The article discusses key metrics and analysis methods for successful enterprise management to conduct an evaluation of the effectiveness of implementing a new marketing strategy. Key metrics and analysis methods play a crucial role in assessing the
Externí odkaz:
https://doaj.org/article/f9cc834efd7d44938680f22cffe07860
Publikováno v:
E3S Web of Conferences, Vol 431, p 05029 (2023)
The article explores the use of software for automating business processes. In today's market, business process automation becomes a necessity, as it determines the number of services provided, which affects the amount of profit received by the organ
Externí odkaz:
https://doaj.org/article/dcc48ef4db5a415ba1b440e75059461a