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Adaptive boosting with SVM classifier for moving vehicle classification

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Main Authors: Norasmadi, Abdul Rahim, Abd Hamid, Adom, Prof. Dr., Paulraj, Murugesa Pandian
Other Authors: norasmadi@unimap.edu.my
Format: Article
Language:English
Published: Elsevier Ltd 2013
Subjects:
Moving vehicle
Adaptive boosting
Support vector machine
One-third-octave
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/27397
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spelling my.unimap-273972013-08-05T03:23:14Z Adaptive boosting with SVM classifier for moving vehicle classification Norasmadi, Abdul Rahim Abd Hamid, Adom, Prof. Dr. Paulraj, Murugesa Pandian norasmadi@unimap.edu.my Moving vehicle Adaptive boosting Support vector machine One-third-octave Link to publisher's homepage at http://www.elsevier.com/ This study examines co-solvent modified supercritical carbon dioxide (SC-CO2) to extract the saturated fatty acids from palm oil. The applied pressure was ranging from 60 to 180 bar and the extraction temperatures were 313.15 and 353.15 K. The knowledge of the phase equilibrium is one of the most important factors to study the design of extraction processes controlled by the equilibrium. The objective of this work is the assessment of the feasibility studies of phase equilibrium mutual solubility process utilizing supercritical carbon dioxide. A thermodynamic model based on the universal functional activity coefficient (UNIFAC) used to predict the activity coefficients’ expression for the system carbon dioxide/fatty acid. The parameters such as adsorption, diffusion, solubility, and desorption were determined using mass transfer modeling. 2013-08-05T03:23:14Z 2013-08-05T03:23:14Z 2013 Article Procedia Engineering, 2013, vol.53, pages 411–419 1877-7058 http://www.sciencedirect.com/science/article/pii/S1877705813001732 http://hdl.handle.net/123456789/27397 en Elsevier Ltd
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Moving vehicle
Adaptive boosting
Support vector machine
One-third-octave
spellingShingle Moving vehicle
Adaptive boosting
Support vector machine
One-third-octave
Norasmadi, Abdul Rahim
Abd Hamid, Adom, Prof. Dr.
Paulraj, Murugesa Pandian
Adaptive boosting with SVM classifier for moving vehicle classification
description Link to publisher's homepage at http://www.elsevier.com/
author2 norasmadi@unimap.edu.my
author_facet norasmadi@unimap.edu.my
Norasmadi, Abdul Rahim
Abd Hamid, Adom, Prof. Dr.
Paulraj, Murugesa Pandian
format Article
author Norasmadi, Abdul Rahim
Abd Hamid, Adom, Prof. Dr.
Paulraj, Murugesa Pandian
author_sort Norasmadi, Abdul Rahim
title Adaptive boosting with SVM classifier for moving vehicle classification
title_short Adaptive boosting with SVM classifier for moving vehicle classification
title_full Adaptive boosting with SVM classifier for moving vehicle classification
title_fullStr Adaptive boosting with SVM classifier for moving vehicle classification
title_full_unstemmed Adaptive boosting with SVM classifier for moving vehicle classification
title_sort adaptive boosting with svm classifier for moving vehicle classification
publisher Elsevier Ltd
publishDate 2013
url http://dspace.unimap.edu.my/xmlui/handle/123456789/27397
_version_ 1643795050845437952
score 13.222552

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