Pay Zone Determination Using Enhanced Workflow and Neural Network

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Main Authors: Syahputra, L.A., Hermana, M., Satti, I.
Format: Article
Published: MDPI 2022
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125140449&doi=10.3390%2fapp12042234&partnerID=40&md5=db83fed5b991ddd38b0f23b3fa87fb25
http://eprints.utp.edu.my/28659/
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spelling my.utp.eprints.286592022-03-07T10:25:34Z Pay Zone Determination Using Enhanced Workflow and Neural Network Syahputra, L.A. Hermana, M. Satti, I. MDPI 2022 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125140449&doi=10.3390%2fapp12042234&partnerID=40&md5=db83fed5b991ddd38b0f23b3fa87fb25 Syahputra, L.A. and Hermana, M. and Satti, I. (2022) Pay Zone Determination Using Enhanced Workflow and Neural Network. Applied Sciences (Switzerland), 12 (4). http://eprints.utp.edu.my/28659/
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 Syahputra, L.A.
Hermana, M.
Satti, I.
spellingShingle Syahputra, L.A.
Hermana, M.
Satti, I.
Pay Zone Determination Using Enhanced Workflow and Neural Network
author_facet Syahputra, L.A.
Hermana, M.
Satti, I.
author_sort Syahputra, L.A.
title Pay Zone Determination Using Enhanced Workflow and Neural Network
title_short Pay Zone Determination Using Enhanced Workflow and Neural Network
title_full Pay Zone Determination Using Enhanced Workflow and Neural Network
title_fullStr Pay Zone Determination Using Enhanced Workflow and Neural Network
title_full_unstemmed Pay Zone Determination Using Enhanced Workflow and Neural Network
title_sort pay zone determination using enhanced workflow and neural network
publisher MDPI
publishDate 2022
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125140449&doi=10.3390%2fapp12042234&partnerID=40&md5=db83fed5b991ddd38b0f23b3fa87fb25
http://eprints.utp.edu.my/28659/
_version_ 1738656871271628800
score 13.211869