Work

Intelligent model for assessing the suitability of water based on its chemical and biological parameters

Year: 2025

Type: conference-paper

Source: International Symposium INFOTEH-JAHORINA (INFOTEH)

DOI: 10.1109/infoteh64129.2025.10959164

Authors: Yadviga Tynchenko, Vadim Tynchenko, Ksenia Degtyareva, Georgy Kuznetsov, Svetlana Kukartseva

Institution: Bauman Moscow State Technical University

Language: English

Topic: Water Quality and Pollution Assessment

Subfield: Water Science and Technology

Field: Environmental Science

Domain: Physical Sciences

SDG: Clean water and sanitation

Open Access status: closed

OpenAlex ID: W4409426499

FWCI: 62.19

Cites: 21

Cited by: 14

Related to: 10