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PrimeNet: Adaptive multi-layer deep neural structure for enhanced feature selection in early convolution stage

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Main Authors: Khan, Farhat Ullah, Aziz, Izzatdin
Format: Article
Published: MDPI 2022
Online Access:http://scholars.utp.edu.my/id/eprint/36745/
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record_format eprints
spelling oai:scholars.utp.edu.my:367452023-07-28T04:00:45Z http://scholars.utp.edu.my/id/eprint/36745/ PrimeNet: Adaptive multi-layer deep neural structure for enhanced feature selection in early convolution stage Khan, Farhat Ullah Aziz, Izzatdin MDPI 2022 Article NonPeerReviewed Khan, Farhat Ullah and Aziz, Izzatdin (2022) PrimeNet: Adaptive multi-layer deep neural structure for enhanced feature selection in early convolution stage. Applied Sciences, 12 (4). p. 1842.
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
format Article
author Khan, Farhat Ullah
Aziz, Izzatdin
spellingShingle Khan, Farhat Ullah
Aziz, Izzatdin
PrimeNet: Adaptive multi-layer deep neural structure for enhanced feature selection in early convolution stage
author_facet Khan, Farhat Ullah
Aziz, Izzatdin
author_sort Khan, Farhat Ullah
title PrimeNet: Adaptive multi-layer deep neural structure for enhanced feature selection in early convolution stage
title_short PrimeNet: Adaptive multi-layer deep neural structure for enhanced feature selection in early convolution stage
title_full PrimeNet: Adaptive multi-layer deep neural structure for enhanced feature selection in early convolution stage
title_fullStr PrimeNet: Adaptive multi-layer deep neural structure for enhanced feature selection in early convolution stage
title_full_unstemmed PrimeNet: Adaptive multi-layer deep neural structure for enhanced feature selection in early convolution stage
title_sort primenet: adaptive multi-layer deep neural structure for enhanced feature selection in early convolution stage
publisher MDPI
publishDate 2022
url http://scholars.utp.edu.my/id/eprint/36745/
_version_ 1772814404155342848
score 13.214268

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