Rezultati
eNauka >
Results >
Real-time monitoring and prediction of water quality parameters and algae concentrations using microbial potentiometric sensor signals and machine learning tools
| Title: | Real-time monitoring and prediction of water quality parameters and algae concentrations using microbial potentiometric sensor signals and machine learning tools | Authors: | Saboe, Daniel; Ghasemi, Hamidreza; Gao, Ming Ming; Samardzic, Mirjana; Hristovski, Kiril D; Boscovic, Dragan; Burge, Scott R; Burge, Russell G; Hoffman, David A | Issue Date: | 2021 | Publication: | SCIENCE OF THE TOTAL ENVIRONMENT | ISSN: | 0048-9697 Science of the Total Environment Search Idenfier |
Type: | Article | Collation: | vol. 764 str. 142876-142876 | DOI: | 10.1016/j.scitotenv.2020.142876 | WoS-ID: | 000614249600064 | Scopus-ID: | 2-s2.0-85093703553 | URI: | https://enauka.gov.rs/handle/123456789/826894 | Project: | Salt River Project (SRP) under ASU/SRP Joint Research Program US Department of Energy, Office of Science, Office of Biological and Environmental ResearchUnited States Department of Energy (DOE) [DE-SC0013194 SBIR] |
Metadata source: | (Preuzeto iz Nasi u WoS) | M-category: | 21a+M21a+ |
Rezultati na eNauka su zaštićeni autorskim pravima i sva prava su zadržana, osim ako nije drugačije naznačeno.