DEEP MACHINE LEARNING TECHNIQUES IN DETECTING DEFECTS IN BUILDINGS AND ROADS

Ref.No: 67116700
Start date: 06.02.2020
End date: 26.06.2020
Approval date: 06.02.2020
Department: RURAL & SURVEYING ENGINEERING
Sector: TOPOGRAPHY SCOPE
Financier: ΕΠΙΒΡΑΒΕΥΣΗ 2018, GGET/EPIVRAVEUSI
Budget: 7.718,67 €
Public key: ΨΔΔΓ46ΨΖΣ4-Η63
Scientific Responsible: Assist. Prof. DOULAMIS
Email: adoulam@cs.ntua.gr
Description: THE CURRENT PROJECT WILL DEVELOP NEW INNOVATIVE DEEP LEARNING TECHNIQUES FOR THE DETECTION OF DEFECTS IN BUILDINGS AND ROAD NETWORKS. THE NEW TECHNIQUES WHICH WILL BE APPLIED WILL INCLUDE : DEEP BELIEF NETWORKS,CONVOLUTIONAL....
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