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Deep Learning based Optimal Multimodal Fusion Framework for Intrusion Detection Systems for Healthca...

Deep Learning based Optimal Multimodal Fusion Framework for Intrusion Detection Systems for Healthca...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2474507048

Deep Learning based Optimal Multimodal Fusion Framework for Intrusion Detection Systems for Healthcare Data

About this item

Full title

Deep Learning based Optimal Multimodal Fusion Framework for Intrusion Detection Systems for Healthcare Data

Publisher

Henderson: Tech Science Press

Journal title

Computers, materials & continua, 2021, Vol.66 (3), p.2555-2571

Language

English

Formats

Publication information

Publisher

Henderson: Tech Science Press

More information

Scope and Contents

Contents

Data fusion is a multidisciplinary research area that involves different domains. It is used to attain minimum detection error probability and maximum reliability with the help of data retrieved from multiple healthcare sources. The generation of huge quantity of data from medical devices resulted in the formation of big data during which data fusi...

Alternative Titles

Full title

Deep Learning based Optimal Multimodal Fusion Framework for Intrusion Detection Systems for Healthcare Data

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2474507048

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2474507048

Other Identifiers

ISSN

1546-2226,1546-2218

E-ISSN

1546-2226

DOI

10.32604/cmc.2021.012941

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