A photopyroelectric measurement device for liquid investigation and monitoring
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سال
: 2014شناسه الکترونیک: 10.1109/JCSSE.2014.6841838
کلیدواژه(گان): intelligent transportation systems,n neural nets,n object detection,n object recognition,n support vector machines,n traffic engineering computing,n CNN,n PHOG feature,n SVM classifier,n convolutional neural network,n pyramid of histogram of oriented gradient,n support vector machine,n vehicle logo detection,n vehicle logo recognition,n CNN,n PHOG,n logo detection,n logo recognition,n vehicle logo
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A photopyroelectric measurement device for liquid investigation and monitoring
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contributor author | Pop, M.N. | |
date accessioned | 2020-03-12T21:59:48Z | |
date available | 2020-03-12T21:59:48Z | |
date issued | 2014 | |
identifier other | 6970028.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1067803 | |
format | general | |
language | English | |
publisher | IEEE | |
title | A photopyroelectric measurement device for liquid investigation and monitoring | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8202659 | |
subject keywords | intelligent transportation systems | |
subject keywords | n neural nets | |
subject keywords | n object detection | |
subject keywords | n object recognition | |
subject keywords | n support vector machines | |
subject keywords | n traffic engineering computing | |
subject keywords | n CNN | |
subject keywords | n PHOG feature | |
subject keywords | n SVM classifier | |
subject keywords | n convolutional neural network | |
subject keywords | n pyramid of histogram of oriented gradient | |
subject keywords | n support vector machine | |
subject keywords | n vehicle logo detection | |
subject keywords | n vehicle logo recognition | |
subject keywords | n CNN | |
subject keywords | n PHOG | |
subject keywords | n logo detection | |
subject keywords | n logo recognition | |
subject keywords | n vehicle logo | |
identifier doi | 10.1109/JCSSE.2014.6841838 | |
journal title | lectrical and Power Engineering (EPE), 2014 International Conference and Exposition on | |
filesize | 1127089 | |
citations | 0 |