Neural network based inspection of voids and karst conduits in hydro-electric power station tunnels using GPR

dc.contributor.author	Kilic, G.
dc.contributor.author	Eren, L.
dc.date.accessioned	2021-01-25T19:33:05Z
dc.date.available	2021-01-25T19:33:05Z
dc.date.issued	2018
dc.identifier	10.1016/j.jappgeo.2018.02.026
dc.identifier.issn	0926-9851
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/7554
dc.description.abstract	This paper reports on the fundamental role played by Ground Penetrating Radar (GPR), alongside advanced processing and presentation methods, during the tunnel boring project at a Dam and Hydro -Electric Power Station. It identifies from collected GPR data
dc.language.iso	English
dc.publisher	ELSEVIER SCIENCE BV
dc.title	Neural network based inspection of voids and karst conduits in hydro-electric power station tunnels using GPR
dc.type	Article
dc.relation.firstpage	194
dc.relation.lastpage	204
dc.relation.volume	151
dc.description.woscategory	Geosciences, Multidisciplinary; Mining & Mineral Processing
dc.description.wosresearcharea	Geology; Mining & Mineral Processing
dc.identifier.wosid	WOS:000430903200019

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