Comparative analysis of multiple conventional neural networks for landslide susceptibility mapping
- Islamabad (unpublished) 2021
- xi, 60 p. : ill. ; 30 cm. + CD
Submitted in fulfillment of the requirement for the degree of Master of Sciences in Information Security to the Faculty of Computing. Includes bibliographical references. Thesis supervisor: Dr. Adeel Zafar
Thesis (MS)--Riphah International University, 2021
English
Information security--Landslide inventory mapping--Landslide conditioning factors--Multicollinearity analysis--CNN architectures--RISE