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Research on Pressure Exertion Prediction in Coal Mine Working Faces Based on Data-Driven Approaches

Research on Pressure Exertion Prediction in Coal Mine Working Faces Based on Data-Driven Approaches

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_94d80ebd481b4e2085a14c832b576cbc

Research on Pressure Exertion Prediction in Coal Mine Working Faces Based on Data-Driven Approaches

About this item

Full title

Research on Pressure Exertion Prediction in Coal Mine Working Faces Based on Data-Driven Approaches

Publisher

Basel: MDPI AG

Journal title

Applied sciences, 2025-04, Vol.15 (8), p.4192

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Coal is the main energy source in China, but coal mining is a high-risk industry, making the prevention and control of coal mining hazards an important topic. Constrained by the complexity and unpredictability of underground spaces, current research on coal mining disaster prevention and control technologies mainly focuses on the characteristics of...

Alternative Titles

Full title

Research on Pressure Exertion Prediction in Coal Mine Working Faces Based on Data-Driven Approaches

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_94d80ebd481b4e2085a14c832b576cbc

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_94d80ebd481b4e2085a14c832b576cbc

Other Identifiers

ISSN

2076-3417

E-ISSN

2076-3417

DOI

10.3390/app15084192

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