Zobrazeno 1 - 10
of 35
pro vyhledávání: '"disaster classification"'
Publikováno v:
Gong-kuang zidonghua, Vol 50, Iss 4, Pp 18-32 (2024)
Coal-rock-gas composite dynamic disaster is a major safety hazard in deep coal mining. Exploring its disaster mechanism and developing monitoring, early warning, prevention and control technologies are key to prevention and control. Therefore, the 't
Externí odkaz:
https://doaj.org/article/107ea7db694640abb0df19bc99f9a158
Publikováno v:
Journal of Communications Software and Systems, Vol 20, Iss 1, Pp 58-68 (2024)
Catastrophic occurrences induced by disasters often lead to fatalities, extensive damage, and societal disruptions. In pursuit of realizing disaster-resilient smart cities, video surveillance systems incorporating artificial intelligence (AI) can aut
Externí odkaz:
https://doaj.org/article/612113618a4c4de1b217f7cbc4f6d84e
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
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:
ISPRS International Journal of Geo-Information, Vol 12, Iss 6, p 245 (2023)
Rapid damage identification and classification in disastrous situations and natural disasters are crucial for efficiently directing aid and resources. With the development of deep learning techniques and the availability of imagery content on social
Externí odkaz:
https://doaj.org/article/8ac1a7eb5fb240daad81337c60917276
Publikováno v:
Remote Sensing, Vol 14, Iss 11, p 2577 (2022)
With the increasing frequency of natural disasters becoming, it is very important to classify and identify disasters. We propose a lightweight disaster classification model, which has lower computation and parameter quantities and a higher accuracy t
Externí odkaz:
https://doaj.org/article/ac79d8c7f82b40c39c679ccc2eaffea0
Akademický článek
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Akademický článek
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Publikováno v:
ISPRS International Journal of Geo-Information; Volume 12; Issue 6; Pages: 245
Rapid damage identification and classification in disastrous situations and natural disasters are crucial for efficiently directing aid and resources. With the development of deep learning techniques and the availability of imagery content on social
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::3340713f29290eb9889599faedb6548a