Prediction of spontaneous combustion susceptibility of coal seams based on coal intrinsic properties using various machine learning tools.

Shukla, Uma Shankar; Mishra, Devi Prasad; Mishra, Aishwarya

Shukla, Uma Shankar; Mishra, Devi Prasad; Mishra, Aishwarya.

Afiliação

Shukla US; Department of Mining Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, Jharkhand, 826 004, India.
Mishra DP; Northern Coalfields Limited, Coal India Limited, Singrauli, India.
Mishra A; Department of Mining Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, Jharkhand, 826 004, India. dpmishra@iitism.ac.in.

Environ Sci Pollut Res Int ; 30(26): 69564-69579, 2023 Jun.

Article em En | MEDLINE | ID: mdl-37140867

Assuntos

Incêndios; Combustão Espontânea; Humanos; Carvão Mineral/análise; Incêndios/prevenção & controle; Algoritmos; Aprendizado de Máquina

Palavras-chave

Artificial Neural Network; Coal spontaneous combustion; Machine Learning (ML) Algorithms; Wet oxidation potential (WOP)

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Combustão Espontânea / Incêndios Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Environ Sci Pollut Res Int Ano de publicação: 2023 Tipo de documento: Article

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