Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Navid Mahdizadeh Gharakhanlou"'
Publikováno v:
Remote Sensing, Vol 16, Iss 22, p 4225 (2024)
Driven by the widespread adoption of deep learning (DL) in crop mapping with satellite image time series (SITS), this study was motivated by the recent success of temporal attention-based approaches in crop mapping. To meet the needs of beekeepers, t
Externí odkaz:
https://doaj.org/article/723673c34a1f4bdfb431db3d4a8b0007
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 11, Iss 12, p 596 (2022)
Throughout history, pandemics have forced societies to think beyond typical management and control protocols. The main goals of this study were to simulate and understand the spatial dynamics of COVID-19 spread and assess the efficacy of two policy m
Externí odkaz:
https://doaj.org/article/c902feb143fd4c38bf29203ec53dde7b
Publikováno v:
Entropy, Vol 24, Iss 11, p 1630 (2022)
The main aim of this study was to predict current and future flood susceptibility under three climate change scenarios of RCP2.6 (i.e., optimistic), RCP4.5 (i.e., business as usual), and RCP8.5 (i.e., pessimistic) employing four machine learning mode
Externí odkaz:
https://doaj.org/article/14efc3173ed0405291522d809abc9ca6
Publikováno v:
Informatics in Medicine Unlocked, Vol 20, Iss , Pp 100403- (2020)
The ongoing outbreak of the COVID-19 as the current global concern threatens lives of many people around the world. COVID-19 is highly contagious so that it has infected more than 1,848,439 people until April 14, 2020 and killed more than 117,217 peo
Externí odkaz:
https://doaj.org/article/fc9829fd85594728a6ff409682c1ee15
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 9, Iss 9, p 549 (2020)
Malaria threatens the lives of many people throughout the world. To counteract its spread, knowledge of the prevalence of malaria and the effectiveness of intervention strategies is of great importance. The aim of this study was to assess (1) the spr
Externí odkaz:
https://doaj.org/article/52afe0c4f7534c749be7ea4de29e7827
Publikováno v:
International Journal of Wildland Fire. 30:652-663
Prediction of the way wildfires propagate in forests and rangelands is one of the critical issues in environmental protection and disaster management. This research aims to simulate wildfire propagation using a geographical information system (GIS)-b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0921d9a2dc280ac5382d1db0cc5fadc
https://doi.org/10.1071/wf20098
https://doi.org/10.1071/wf20098
Publikováno v:
International Journal of Disaster Resilience in the Built Environment.
Purpose The duration of an urban search and rescue (USAR) operation directly depends on the number of rescue teams involved. The purpose of this paper is to simplify the earthquake environment and determine the initial number of rescuers in earthquak
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc67d043d18bac22fdfa91792ad49969
https://doi.org/10.1108/ijdrbe-09-2021-0122
https://doi.org/10.1108/ijdrbe-09-2021-0122
Publikováno v:
Journal of Hydrology. 617:129121
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d47ed71b57b1b99bba316e352f08dae1
https://doi.org/10.1016/j.jhydrol.2023.129121
https://doi.org/10.1016/j.jhydrol.2023.129121
Publikováno v:
Journal of Cleaner Production. 384:135481
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07e57ae2d51ac8420e56a88c4d5466c8
https://doi.org/10.1016/j.jclepro.2022.135481
https://doi.org/10.1016/j.jclepro.2022.135481
Publikováno v:
Ecological Informatics. 54:101006
Malaria is a vector-borne disease that is considered a major public health problem in tropical and semi-tropical areas. The transmission of malaria is associated with the interactions among environment, Anopheles mosquitoes (vectors), and humans (hos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01d7e17af4abcf084bcff2cd41062a51
https://doi.org/10.1016/j.ecoinf.2019.101006
https://doi.org/10.1016/j.ecoinf.2019.101006