Flow regime identification using neural network based electrodynamic tomography system [UTM article journal]/

PSZJBL

Bibliographic Details
Main Authors: Mohd. Fua'ad Rahmat, 1966-, Hakilo Ahmed Sabit
Format:
Language:eng
Subjects:
Online Access:http://www.psz.utm.my/sla/billing/login.asp?mid=16604
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author Mohd. Fua'ad Rahmat, 1966-
Hakilo Ahmed Sabit
author_facet Mohd. Fua'ad Rahmat, 1966-
Hakilo Ahmed Sabit
author_sort Mohd. Fua'ad Rahmat, 1966-
collection OCEAN
description PSZJBL
first_indexed 2024-03-05T08:07:58Z
format
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institution Universiti Teknologi Malaysia - OCEAN
language eng
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spelling KOHA-OAI-TEST:3927112020-12-19T17:13:42ZFlow regime identification using neural network based electrodynamic tomography system [UTM article journal]/ Mohd. Fua'ad Rahmat, 1966- Hakilo Ahmed Sabit engPSZJBLFlow visualizationhttp://www.psz.utm.my/sla/billing/login.asp?mid=16604
spellingShingle Flow visualization
Mohd. Fua'ad Rahmat, 1966-
Hakilo Ahmed Sabit
Flow regime identification using neural network based electrodynamic tomography system [UTM article journal]/
title Flow regime identification using neural network based electrodynamic tomography system [UTM article journal]/
title_full Flow regime identification using neural network based electrodynamic tomography system [UTM article journal]/
title_fullStr Flow regime identification using neural network based electrodynamic tomography system [UTM article journal]/
title_full_unstemmed Flow regime identification using neural network based electrodynamic tomography system [UTM article journal]/
title_short Flow regime identification using neural network based electrodynamic tomography system [UTM article journal]/
title_sort flow regime identification using neural network based electrodynamic tomography system utm article journal
topic Flow visualization
url http://www.psz.utm.my/sla/billing/login.asp?mid=16604
work_keys_str_mv AT mohdfuaadrahmat1966 flowregimeidentificationusingneuralnetworkbasedelectrodynamictomographysystemutmarticlejournal
AT hakiloahmedsabit flowregimeidentificationusingneuralnetworkbasedelectrodynamictomographysystemutmarticlejournal