Browsing Abdul Hamid Adom, Prof. Dr. by Subject "Support vector machine"
Now showing items 1-4 of 4
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Adaptive boosting with SVM classifier for moving vehicle classification
(Malaysian Technical Universities Network (MTUN), 2012-11-20)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 ... -
Adaptive boosting with SVM classifier for moving vehicle classification
(Elsevier Ltd, 2013)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 ... -
Comparison of speech parameterization techniques for the classification of speech disfluencies
(Scientific and Technical Research Council of Turkey, 2013-12)Stuttering assessment through the manual classification of speech disfluencies is subjective, inconsistent, time-consuming, and prone to error. The aim of this paper is to compare the effectiveness of the 3 speech feature ... -
Erratum: Adaptive boosting with SVM classifier for moving vehicle classification
(Elsevier Ltd, 2013)Profoundly hearing impaired community (PHIC) cannot moderate wisely an acoustic noise ema- nated from moving vehicle in outdoor. They are not able to distinguish either type or distance of moving vehicle approaching from ...