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An adaptive focused target feature fusion network for detection of foreign bodies in coal flow

An adaptive focused target feature fusion network for detection of foreign bodies in coal flow

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2920240362

An adaptive focused target feature fusion network for detection of foreign bodies in coal flow

About this item

Full title

An adaptive focused target feature fusion network for detection of foreign bodies in coal flow

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

Journal title

International journal of machine learning and cybernetics, 2023-08, Vol.14 (8), p.2777-2791

Language

English

Formats

Publication information

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

More information

Scope and Contents

Contents

In the process of conveying raw coal to the surface on conveyor belts, the raw coal is generally blended with foreign bodies, such as large pieces of gangue and damaged bolts, which can affect the quality of mined coal, damage the transportation equipment and even jam the coal conduit, seriously reducing the coal conveying efficiency. To handle to...

Alternative Titles

Full title

An adaptive focused target feature fusion network for detection of foreign bodies in coal flow

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2920240362

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2920240362

Other Identifiers

ISSN

1868-8071

E-ISSN

1868-808X

DOI

10.1007/s13042-023-01798-6

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