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A survey on the application of Neural Networks in the safety assessment of oil and gas pipelines

contributor authorLayouni, M.
contributor authorTahar, S.
contributor authorHamdi, M.S.
date accessioned2020-03-12T22:29:06Z
date available2020-03-12T22:29:06Z
date issued2014
identifier other7011837.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1084621?show=full
formatgeneral
languageEnglish
publisherIEEE
titleA survey on the application of Neural Networks in the safety assessment of oil and gas pipelines
typeConference Paper
contenttypeMetadata Only
identifier padid8221917
subject keywordscameras
subject keywordsn computer vision
subject keywordsn feature extraction
subject keywordsn image recognition
subject keywordsn learning (artificial intelligence)
subject keywordsn LMNN predictors
subject keywordsn bagging based metric learning
subject keywordsn bagging-based large margin nearest neighbor method
subject keywordsn cameras
subject keywordsn computer vision
subject keywordsn feature-bagging strategy
subject keywordsn person reidentification
subject keywordsn sample-bagging strategy
subject keywordsn Bagging
subject keywordsn Cameras
subject keywordsn Histograms
subject keywordsn Image color analysis
subject keywordsn Measurement
subject keywordsn Training
subject keywordsn Vectors
subject keywordsn LMNN
subject keywordsn Person re-identificatio
identifier doi10.1109/ICME.2014.6890259
journal titleomputational Intelligence for Engineering Solutions (CIES), 2014 IEEE Symposium on
filesize1351354
citations0


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