Zobrazeno 1 - 3
of 3
pro vyhledávání: '"M. M. A. Al-Habshi"'
Autor:
N. S. N. Shaharum, H. Z. M. Shafri, W. A. W. A. K. Ghani, S. Samsatli, B. Yusuf, M. M. A. Al-Habshi, H. M. Prince
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4-W9, Pp 133-137 (2018)
The world has been alarmed with the global warming effects. Global warming has been a distress towards the environment, thus shorten the Earth’s lifespan. It is a challenging task to reduce the global warming effects in a short period, knowing that
Externí odkaz:
https://doaj.org/article/046c2ae78f6043d69840b480d608fa6c
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 1064:012016
Malaysia has a significant amount of biodiversity and has developed protected areas to conserve and sustain this tremendous degree of biodiversity. A protected area is known for its recognized natural, ecological or cultural values. However, the prot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea07f4f30997bca4ca646b7bc0227354
https://doi.org/10.1088/1755-1315/1064/1/012016
https://doi.org/10.1088/1755-1315/1064/1/012016
Autor:
Nur Shafira Nisa Shaharum, M. M. A. Al-Habshi, M. A. A. M. Abidin, Helmi Zulhaidi Mohd Shafri
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 767:012019
This study aims to evaluate the performance of state-of-the-art HybridSN deep learning algorithm versus standard machine learning (ML) and deep learning (DL) techniques using open-source Python libraries for producing hyperspectral land use and land
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aac21a590eb5c1c961504272a1260868
https://doi.org/10.1088/1755-1315/767/1/012019
https://doi.org/10.1088/1755-1315/767/1/012019