Open AccessAssessing household damages using multi-model deep learning pipeline
Author(s) -
Fatih KIYIKÇI,
Hilal Onur CUNEDİOĞLU,
Enes KOŞAR,
Mehmet Eren BEKİN,
Fatih Abut,
Fatih AKAY
Publication year - 2022
Publication title -
european mechanical science
Language(s) - English
Resource type - Journals
ISSN - 2587-1110
DOI - 10.26701/ems.1031595
Subject(s) - damages , computer science , segmentation , pipeline (software) , convolutional neural network , task (project management) , artificial intelligence , pyramid (geometry) , deep learning , intersection (aeronautics) , binary classification , market segmentation , feature (linguistics) , machine learning , support vector machine , engineering , business , transport engineering , linguistics , philosophy , marketing , political science , law , programming language , physics , systems engineering , optics
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