Dual modality tomography system using optical and electrodynamic sensors to obtain tomographic images of solid flow

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Main Author: Mohammad Rohi, Noorfaizah
Format: Thesis
Published: 2009
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id my-utm-ep.18260
record_format uketd_dc
spelling my-utm-ep.182602011-11-18T04:32:41Z Dual modality tomography system using optical and electrodynamic sensors to obtain tomographic images of solid flow 2009-00 Mohammad Rohi, Noorfaizah TK Electrical engineering. Electronics Nuclear engineering 2009-00 Thesis http://eprints.utm.my/id/eprint/18260/ masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
topic TK Electrical engineering
Electronics Nuclear engineering
spellingShingle TK Electrical engineering
Electronics Nuclear engineering
Mohammad Rohi, Noorfaizah
Dual modality tomography system using optical and electrodynamic sensors to obtain tomographic images of solid flow
description
format Thesis
qualification_level Master's degree
author Mohammad Rohi, Noorfaizah
author_facet Mohammad Rohi, Noorfaizah
author_sort Mohammad Rohi, Noorfaizah
title Dual modality tomography system using optical and electrodynamic sensors to obtain tomographic images of solid flow
title_short Dual modality tomography system using optical and electrodynamic sensors to obtain tomographic images of solid flow
title_full Dual modality tomography system using optical and electrodynamic sensors to obtain tomographic images of solid flow
title_fullStr Dual modality tomography system using optical and electrodynamic sensors to obtain tomographic images of solid flow
title_full_unstemmed Dual modality tomography system using optical and electrodynamic sensors to obtain tomographic images of solid flow
title_sort dual modality tomography system using optical and electrodynamic sensors to obtain tomographic images of solid flow
granting_institution Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department Faculty of Electrical Engineering
publishDate 2009
_version_ 1747815231766134784