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The aim of this paper is to decide on heavy metal levels based on ecological parameters by effectively eliminating common disadvantages such as high cost and serious time-consuming laboratory procedures via an effective artificial intelligence approa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b506045afd131bc367b98f955047c969
https://hdl.handle.net/11424/243748
https://hdl.handle.net/11424/243748
Publikováno v:
Applied Artificial Intelligence, Vol 36, Iss 1 (2022)
The aim of this paper is to decide on heavy metal levels based on ecological parameters by effectively eliminating common disadvantages such as high cost and serious time-consuming laboratory procedures via an effective artificial intelligence approa
Externí odkaz:
https://doaj.org/article/d7c04a36bba346658fcdf830e17083b3
Autor:
Ahmet Altürk, Tahir Cosgun
Publikováno v:
International Journal of Advances in Applied Mathematics and Mechanics, Vol 7, Iss 2, Pp 70-79 (2019)
Externí odkaz:
https://doaj.org/article/4bea27bc61ed450aa65b79c4535c96d7
Publikováno v:
An International Journal of Optimization and Control: Theories & Applications, Vol 10, Iss 2 (2020)
In the last few decades, stiff differential equations have attracted a great deal of interest from academic society, because much of the real life is covered by stiff behavior. In addition to importance of producing model equations, capturing an exac
Externí odkaz:
https://doaj.org/article/9112a90d458548afb8ffcaec0f44af4c