Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Suheda Semih Acmali"'
Publikováno v:
Advanced Intelligent Systems, Vol 6, Iss 7, Pp n/a-n/a (2024)
Although large‐scale pretrained convolutinal neural networks (CNN) models have shown impressive transfer learning capabilities, they come with drawbacks such as high energy consumption and computational cost due to their potential redundant paramet
Externí odkaz:
https://doaj.org/article/6c3f587dc6a240a49d847cc371682406
Autor:
Suheda Semih Acmali, Arif Cagdas Aydinoglu, Ismail Colkesen, Aykut Akgün, Emrehan Kutlug Sahin
Publikováno v:
Computers & Geosciences. 144:104592
The primary aim of this research paper is to develop an easy-to-use tool package called Landslide Susceptibility Mapping Tool Pack (LSM Tool Pack) for producing landslide susceptibility maps based on integrating R with ArcMap Software. The proposed t