Zobrazeno 1 - 10
of 709
pro vyhledávání: '"disaster classification"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 2098-2114 (2024)
The fully supervised deep convolutional neural network (CNN) cannot detect the discriminant local information that is responsible for spatial transformations in high-resolution remote sensing images. To address the various types and missing labels of
Externí odkaz:
https://doaj.org/article/06b5c3a199fc4ed2be2d63713789522c
Akademický článek
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Autor:
Effrosynidis, Dimitrios1 (AUTHOR) avi@ee.duth.gr, Sylaios, Georgios2 (AUTHOR) gsylaios@env.duth.gr, Arampatzis, Avi1 (AUTHOR)
Publikováno v:
Information (2078-2489). Jul2024, Vol. 15 Issue 7, p393. 14p.
Akademický článek
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Publikováno v:
Journal of Safety Science and Resilience, Vol 3, Iss 1, Pp 15-23 (2022)
Social media analytics have played an important role in disaster identification. Recent advances in deep learning (DL) technologies have been applied to design disaster classification models. However, the DL-based models are hindered by insufficient
Externí odkaz:
https://doaj.org/article/1b19e54bdd084f0c9e90870b77643040
Publikováno v:
IEEE Access, Vol 10, Pp 115930-115944 (2022)
Disaster classification and victim detection are two important tasks in enabling efficient rescue operations. In this paper, we propose a multi-task learning (MTL) model which accomplishes these two tasks simultaneously. The idea is to attach one pru
Externí odkaz:
https://doaj.org/article/53a1474c18c34f3da06951c477fa42cb
Publikováno v:
Information, Vol 15, Iss 7, p 393 (2024)
In the realm of disaster-related tweet classification, this study presents a comprehensive analysis of various machine learning algorithms, shedding light on crucial factors influencing algorithm performance. The exceptional efficacy of simpler model
Externí odkaz:
https://doaj.org/article/ba94ffbd7b5c4ab5bc9c8c8e2f6471e4
Publikováno v:
ICPR2020 Workshops and Challenges (forthcoming on 10 January 2021)
Recent years, typhoon damages has become social problem owing to climate change. In 9 September 2019, Typhoon Faxai passed on the Chiba in Japan, whose damages included with electric provision stop because of strong wind recorded on the maximum 45 me
Externí odkaz:
http://arxiv.org/abs/2004.10130
Publikováno v:
In Journal of Safety Science and Resilience March 2022 3(1):15-23
Autor:
Yuan, Jianye1 (AUTHOR) yuan666@whu.edu.cn, Ma, Xin2 (AUTHOR) maxinwhu@whu.edu.cn, Han, Ge3 (AUTHOR) udhan@whu.edu.cn, Li, Song1 (AUTHOR) ls@whu.edu.cn, Gong, Wei1,4 (AUTHOR) weigong@whu.edu.cn
Publikováno v:
Remote Sensing. Jun2022, Vol. 14 Issue 11, p2577-2577. 17p.