Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Sofia Ruiz-Suarez"'
Publikováno v:
Remote Sensing, Vol 15, Iss 17, p 4246 (2023)
The escalating frequency and severity of global wildfires necessitate an in-depth understanding and monitoring of wildfire smoke impacts, specifically its contribution to fine particulate matter (PM2.5). We propose a data-fusion method to study wildf
Externí odkaz:
https://doaj.org/article/d6880a2fbfb645dbbc1734f843db0aa5
Publikováno v:
PeerJ, Vol 8, p e8452 (2020)
The study of animal movement is challenging because movement is a process modulated by many factors acting at different spatial and temporal scales. In order to describe and analyse animal movement, several models have been proposed which differ prim
Externí odkaz:
https://doaj.org/article/d468912921f747d9a7b948d2db601622
Hidden Markov models (HMMs) and their extensions have proven to be powerful tools for classification of observations that stem from systems with temporal dependence as they take into account that observations close in time are likely generated from t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff7956a80818f9b8c6836b95e4943edb
http://arxiv.org/abs/2105.11490
http://arxiv.org/abs/2105.11490
Publikováno v:
PeerJ
PeerJ, Vol 8, p e8452 (2020)
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
PeerJ, Vol 8, p e8452 (2020)
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
The study of animal movement is challenging because movement is a process modulated by many factors acting at different spatial and temporal scales. In order to describe and analyse animal movement, several models have been proposed which differ prim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6e8c0d865f636db824ddafd922e0ec6
https://peerj.com/articles/8452
https://peerj.com/articles/8452