Real-time assessment of the Ganga river during pandemic COVID-19 and predictive data modeling by machine learning.

Singh, J; Swaroop, S; Sharma, P; Mishra, V

Singh, J; Swaroop, S; Sharma, P; Mishra, V.

Afiliación

Singh J; School of Biochemical Engineering, IIT (BHU) Varanasi, Uttar Pradesh, Varanasi, 221005 India.
Swaroop S; School of Biochemical Engineering, IIT (BHU) Varanasi, Uttar Pradesh, Varanasi, 221005 India.
Sharma P; School of Biochemical Engineering, IIT (BHU) Varanasi, Uttar Pradesh, Varanasi, 221005 India.
Mishra V; School of Biochemical Engineering, IIT (BHU) Varanasi, Uttar Pradesh, Varanasi, 221005 India.

Int J Environ Sci Technol (Tehran) ; 20(7): 7887-7910, 2023.

Article en En | MEDLINE | ID: mdl-35915660

Palabras clave

Artificial neural network; Biochemical oxygen demand; Dissolved oxygen; Modeling; The Ganga; Total Coliform Count; pH

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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Int J Environ Sci Technol (Tehran) Año: 2023 Tipo del documento: Article

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