One Versus All: Best Practices in Combining Multi-hazard Damage Imagery Training Datasets for Damage Detection for a Deep Learning Neural Network
Crossref DOI link: https://doi.org/10.1007/978-3-030-76004-5_24
Published Online: 2021-10-05
Published Print: 2022
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Sodeinde, Lekan
Koch, Magaly
Moaveni, Babak
Baise, Laurie G.
Text and Data Mining valid from 2021-10-05
Version of Record valid from 2021-10-05
Chapter History
First Online: 5 October 2021