IoT-Based Water Quality Assessment System for Industrial Waste WaterHealthcare Perspective.

Dhruba, Abdur Rab; Alam, Kazi Nabiul; Khan, Md Shakib; Saha, Sananda; Khan, Mohammad Monirujjaman; Baz, Mohammed; Masud, Mehedi; AlZain, Mohammed A

Dhruba, Abdur Rab; Alam, Kazi Nabiul; Khan, Md Shakib; Saha, Sananda; Khan, Mohammad Monirujjaman; Baz, Mohammed; Masud, Mehedi; AlZain, Mohammed A.

Afiliação

Dhruba AR; Department of Electrical and Computer Engineering, North South University, Bashundhara, Dhaka 1229, Bangladesh.
Alam KN; Department of Electrical and Computer Engineering, North South University, Bashundhara, Dhaka 1229, Bangladesh.
Khan MS; Department of Electrical and Computer Engineering, North South University, Bashundhara, Dhaka 1229, Bangladesh.
Saha S; Department of Electrical and Computer Engineering, North South University, Bashundhara, Dhaka 1229, Bangladesh.
Khan MM; Department of Electrical and Computer Engineering, North South University, Bashundhara, Dhaka 1229, Bangladesh.
Baz M; Department of Computer Engineering, College of Computers and Information Technology, Taif University, P. O. Box 11099, Taif 21944, Saudi Arabia.
Masud M; Department of Computer Science, College of Computers and Information Technology, Taif University, P. O. Box 11099, Taif 21944, Saudi Arabia.
AlZain MA; Department of Information Technology, College of Computers and Information Technology, Taif University, P. O. Box 11099, Taif 21944, Saudi Arabia.

J Healthc Eng ; 2022: 3769965, 2022.

Article em En | MEDLINE | ID: mdl-35463667

Assuntos

Internet das Coisas; Qualidade da Água; Animais; Bangladesh; Meio Ambiente; Monitoramento Ambiental; Humanos; Resíduos Industriais

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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 12_ODS3_hazardous_contamination / 2_ODS3 / 3_ND Base de dados: MEDLINE Assunto principal: Qualidade da Água / Internet das Coisas Limite: Animals / Humans País/Região como assunto: Asia Idioma: En Revista: J Healthc Eng Ano de publicação: 2022 Tipo de documento: Article

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