Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Wided Souidene"'
Publikováno v:
Canadian Journal of Remote Sensing, Vol 47, Iss 2, Pp 198-208 (2021)
In this paper, we propose an object detection methodology applied to Global Wheat Head Detection (GWHD) Dataset. We have been through two major architectures of object detection which are Faster R-CNN, and EfficientDet, in order to design a novel and
Externí odkaz:
https://doaj.org/article/9501bb3b201e4c3194d01192cd439c3f
Publikováno v:
Journal of Imaging, Vol 9, Iss 3, p 62 (2023)
With the widespread use of deep learning in leading systems, it has become the mainstream in the table detection field. Some tables are difficult to detect because of the likely figure layout or the small size. As a solution to the underlined problem
Externí odkaz:
https://doaj.org/article/6872cbb97c47410fba1515b6972c368b
Publikováno v:
Sensors, Vol 22, Iss 5, p 1977 (2022)
Wildfires are a worldwide natural disaster causing important economic damages and loss of lives. Experts predict that wildfires will increase in the coming years mainly due to climate change. Early detection and prediction of fire spread can help red
Externí odkaz:
https://doaj.org/article/c0fb3a90e1754051a2a61d29c4f9ef55
Publikováno v:
Remote Sensing, Vol 13, Iss 17, p 3527 (2021)
In this paper, we address the problem of forest fires’ early detection and segmentation in order to predict their spread and help with fire fighting. Techniques based on Convolutional Networks are the most used and have proven to be efficient at so
Externí odkaz:
https://doaj.org/article/5c61c0466ae44324bd2a6dfba393be08
Publikováno v:
International Conference on Content-based Multimedia Indexing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9239a32e33ccedd11ea872ee5c0fc20
https://doi.org/10.1145/3549555.3549586
https://doi.org/10.1145/3549555.3549586
Publikováno v:
Canadian Journal of Remote Sensing. 47:198-208
In this paper, we propose an object detection methodology applied to Global Wheat Head Detection (GWHD) Dataset. We have been through two major architectures of object detection which are Faster R-...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e267c074a37d564fad0615987c23a650
https://doi.org/10.1080/07038992.2021.1906213
https://doi.org/10.1080/07038992.2021.1906213
Publikováno v:
Computational Collective Intelligence ISBN: 9783031160134
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a36f2d00c62ba2c33abfd3780a035595
https://doi.org/10.1007/978-3-031-16014-1_58
https://doi.org/10.1007/978-3-031-16014-1_58
Akademický článek
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Publikováno v:
2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4cde4dc2c3f1aadaf673bb213091e4b2
https://doi.org/10.1109/smc52423.2021.9658905
https://doi.org/10.1109/smc52423.2021.9658905
Autor:
Kazdar, Takwa, Mseddi, Wided Souidene, Akhloufi, Moulay A., Agrebi, Ala, Jmal, Marwa, Attia, Rabah
Publikováno v:
Journal of Imaging; Mar2023, Vol. 9 Issue 3, p1-22, 22p