Estimation of Adsorbed Amounts in Organoclay by Machine Learning.

Shobuke, Hayato; Matsumoto, Takumi; Hirosawa, Fumiya; Miyagawa, Masaya; Takaba, Hiromitsu

Shobuke, Hayato; Matsumoto, Takumi; Hirosawa, Fumiya; Miyagawa, Masaya; Takaba, Hiromitsu.

Afiliação

Shobuke H; Department of Environmental Chemistry & Chemical Engineering, School of Advanced Engineering, Kogakuin University, 2665-1 Nakano, Hachioji, Tokyo192-0015, Japan.
Matsumoto T; Department of Environmental Chemistry & Chemical Engineering, School of Advanced Engineering, Kogakuin University, 2665-1 Nakano, Hachioji, Tokyo192-0015, Japan.
Hirosawa F; Department of Environmental Chemistry & Chemical Engineering, School of Advanced Engineering, Kogakuin University, 2665-1 Nakano, Hachioji, Tokyo192-0015, Japan.
Miyagawa M; Department of Environmental Chemistry & Chemical Engineering, School of Advanced Engineering, Kogakuin University, 2665-1 Nakano, Hachioji, Tokyo192-0015, Japan.
Takaba H; Department of Environmental Chemistry & Chemical Engineering, School of Advanced Engineering, Kogakuin University, 2665-1 Nakano, Hachioji, Tokyo192-0015, Japan.

ACS Omega ; 8(1): 1146-1153, 2023 Jan 10.

Article em En | MEDLINE | ID: mdl-36643430

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: ACS Omega Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Japão País de publicação: Estados Unidos

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google