Výsledky vyhledávání - "Masoume Mahboubi"

Detection of Wet Riparian Areas using Very High Resolution Multispectral UAS Imagery Based on a Feature-based Machine Learning Algorithm

Autor: Masoume Mahboubi, Elena Belcore, Emanuele Pontoglio, Francesca Matrone, Andrea Lingua

Unmanned Aerial System (UAS) imagery has enabled very high-resolution multispectral image acquisition. Detection of wet areas and classification of land cover based on these images using the Machine Learning (ML) algorithm named Random Forest (RF) is

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6c5f3330f5159517536b02567847e17
https://agile-giss.copernicus.org/articles/3/46/2022/

Zobrazit plný text záznamu

Geospatial Analysis of Safe Delivery App Events Based on Geographically Weighted Regression Tool

Autor: Masoume Mahboubi, Astrid Grønbæk, Ana Fernandes, Casper Fibæk, Paolo Dabove

This study explores the spatial relationship between the number of recorded events of the Safe Delivery App, which is a mobile learning tool to train midwives in developing countries, during three months, and several independent variables, including

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5f66c11a006c1e40bfb03115167e7df
http://hdl.handle.net/11583/2969829

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání