Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Kayvan Ghaderi"'
Autor:
Aryan Salvati, Alireza Moghaddam Nia, Ali Salajegheh, Kayvan Ghaderi, Dawood Talebpour Asl, Nadhir Al‐Ansari, Feridon Solaimani, John J. Clague
Publikováno v:
Journal of Flood Risk Management, Vol 16, Iss 4, Pp n/a-n/a (2023)
Abstract Floods are both complex and destructive, and in most parts of the world cause injury, death, loss of agricultural land, and social disruption. Flood susceptibility (FS) maps are used by land‐use managers and land owners to identify areas t
Externí odkaz:
https://doaj.org/article/2fdb66acc03548c4b77339307ee6cc73
Autor:
Himan Shahabi, Ataollah Shirzadi, Kayvan Ghaderi, Ebrahim Omidvar, Nadhir Al-Ansari, John J. Clague, Marten Geertsema, Khabat Khosravi, Ata Amini, Sepideh Bahrami, Omid Rahmati, Kyoumars Habibi, Ayub Mohammadi, Hoang Nguyen, Assefa M. Melesse, Baharin Bin Ahmad, Anuar Ahmad
Publikováno v:
Remote Sensing, Vol 12, Iss 2, p 266 (2020)
Mapping flood-prone areas is a key activity in flood disaster management. In this paper, we propose a new flood susceptibility mapping technique. We employ new ensemble models based on bagging as a meta-classifier and K-Nearest Neighbor (KNN) coarse,
Externí odkaz:
https://doaj.org/article/c78c6f077be842578a0e75fe7d2150a7
Introduction: Nowadays, Magnetic resonance imaging (MRI) has a high ability to distinguish between soft tissues because of high spatial resolution. Image processing is extensively used to extract clinical data from imaging modalities. In the medical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a76ecf6ac21ddb816285d8e97c28b53
https://doi.org/10.21203/rs.3.rs-886978/v1
https://doi.org/10.21203/rs.3.rs-886978/v1
Autor:
Ahmad, Himan Shahabi, Ataollah Shirzadi, Kayvan Ghaderi, Ebrahim Omidvar, Nadhir Al-Ansari, John J. Clague, Marten Geertsema, Khabat Khosravi, Ata Amini, Sepideh Bahrami, Omid Rahmati, Kyoumars Habibi, Ayub Mohammadi, Hoang Nguyen, Assefa M. Melesse, Baharin Bin Ahmad, Anuar
Publikováno v:
Remote Sensing; Volume 12; Issue 2; Pages: 266
Mapping flood-prone areas is a key activity in flood disaster management. In this paper, we propose a new flood susceptibility mapping technique. We employ new ensemble models based on bagging as a meta-classifier and K-Nearest Neighbor (KNN) coarse,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::47a1efae42c69cca288579a08b73cc5d
Publikováno v:
2013 21st Iranian Conference on Electrical Engineering (ICEE).
The paper presents a novel semi-blind watermarking scheme for image copyright protection, which is developed in the Lifting Wavelet Transform (LWT) and is based on Singular Value Decomposition (SVD). We have been used fractal decoding to make a very
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba076904f54a6ad8ad9ab95dc1687d35
https://doi.org/10.1109/iraniancee.2013.6599633
https://doi.org/10.1109/iraniancee.2013.6599633
Publikováno v:
2012 2nd International eConference on Computer and Knowledge Engineering (ICCKE).
Digital watermarking has been proposed as a way to claim ownership. In this paper, a new approach in digital image watermarking based on discrete wavelet transform (DWT) and singular value decomposition (SVD) is presented. We use compositional patter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b3a97c54316c2e282674ff5c9290155
https://doi.org/10.1109/iccke.2012.6395344
https://doi.org/10.1109/iccke.2012.6395344