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Cover and land use changes in the dry forest of Tumbes (Peru) using sentinel-2 and google earth engine data
(MDPIPE, 2022-10-21)
Dry forests are home to large amounts of biodiversity, are providers of ecosystem services, and control the advance of deserts. However, globally, these ecosystems are being threatened by various factors such as climate ...
On the Influence of Markovian Models for Contextual-Based Optimum-Path Forest Classification
(Springer, 2014-01-01)
Contextual classification considers the information about a sample's neighborhood to improve standard pixel-based classification approaches. In this work, we evaluated four different Markovian models for Optimum-Path Forest ...
On the influence of Markovian models for contextual-based Optimum-Path Forest classification
(2014-01-01)
Contextual classification considers the information about a sample’s neighborhood to improve standard pixel-based classification approaches. In this work, we evaluated four different Markovian models for Optimum-Path Forest ...
Determination Of 17 Beta-estradiol And Noradrenaline In Dog Serum Using Surface-enhanced Raman Spectroscopy And Random Forest
(Elsevier Science BVAmsterdam, 2016)
Determination Of 17 Beta-estradiol And Noradrenaline In Dog Serum Using Surface-enhanced Raman Spectroscopy And Random Forest
(ELSEVIER SCIENCE BVAMSTERDAM, 2016)
Climate-driven statistical models as effective predictors of local dengue incidence in costa rica: a generalized additive model and random forest approach
(Centro de Investigaciones en Matemática Pura y Aplicada (CIMPA) y Escuela de Matemática, San José, Costa Rica., 2020)