Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Soheila Pouyan"'
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-19 (2021)
Abstract We used three state-of-the-art machine learning techniques (boosted regression tree, random forest, and support vector machine) to produce a multi-hazard (MHR) map illustrating areas susceptible to flooding, gully erosion, forest fires, and
Externí odkaz:
https://doaj.org/article/144be68bf8ca4efc8223588f0370d8d5
Autor:
Hamid Reza Pourghasemi, Soheila Pouyan, Bahram Heidari, Zakariya Farajzadeh, Seyed Rashid Fallah Shamsi, Sedigheh Babaei, Rasoul Khosravi, Mohammad Etemadi, Gholamabbas Ghanbarian, Ahmad Farhadi, Roja Safaeian, Zahra Heidari, Mohammad Hassan Tarazkar, John P. Tiefenbacher, Amir Azmi, Faezeh Sadeghian
Publikováno v:
International Journal of Infectious Diseases, Vol 98, Iss , Pp 90-108 (2020)
Objectives: Coronavirus disease 2019 (COVID-19) represents a major pandemic threat that has spread to more than 212 countries with more than 432,902 recorded deaths and 7,898,442 confirmed cases worldwide so far (on June 14, 2020). It is crucial to i
Externí odkaz:
https://doaj.org/article/4ece2822a0454452a3744883af05f9d7
Autor:
Soroor Rahmanian, Vahid Nasiri, Atiyeh Amindin, Sahar Karami, Sedigheh Maleki, Soheila Pouyan, Stelian Alexandru Borz
Publikováno v:
Remote Sensing, Vol 15, Iss 2, p 387 (2023)
Plant diversity measurement and monitoring are required for reversing biodiversity loss and ensuring sustainable management. Traditional methods have been using in situ measurements to build multivariate models connecting environmental factors to spe
Externí odkaz:
https://doaj.org/article/0daa055a3e2a4487af6e3614024a43d0
Autor:
Hamid Reza Pourghasemi, Soheila Pouyan, Zakariya Farajzadeh, Nitheshnirmal Sadhasivam, Bahram Heidari, Sedigheh Babaei, John P Tiefenbacher
Publikováno v:
PLoS ONE, Vol 15, Iss 7, p e0236238 (2020)
Infectious disease outbreaks pose a significant threat to human health worldwide. The outbreak of pandemic coronavirus disease 2019 (COVID-19) has caused a global health emergency. Thus, identification of regions with high risk for COVID-19 outbreak
Externí odkaz:
https://doaj.org/article/64561a231c544e67a53e46a7dd578a0c
Publikováno v:
مدیریت بیابان, Vol 4, Iss 8, Pp 107-112 (2017)
Different surface covers such as soil, rock, plant and etc, lead to be created different climate conditions in small scales by impacting on the adjacent atmospheric elements. The greatest difference tangibly in land surfaces and air temperatures were
Externí odkaz:
https://doaj.org/article/41863307b91a49b0acae06b996e9c734
Autor:
Soheila Pouyan, Mojgan Bordbar, Venkatesh Ravichandran, John P. Tiefenbacher, Mehrzad Kherad, Hamid Reza Pourghasemi
Publikováno v:
Natural Hazards. 117:1-24
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efa906cecac7bdfb26b3192a2585bba7
https://doi.org/10.1007/s11069-023-05847-9
https://doi.org/10.1007/s11069-023-05847-9
Autor:
Emran Dastres, Saleh Yousefi, Hamid Reza Pourghasemi, Saeedeh Eskandari, Mohsen Edalat, Majid Mohammady, Soheila Pouyan
Publikováno v:
Natural Resources Research. 30:4861-4884
Habitat suitability modeling and mapping are important aspects of long-term strategies for sustaining plant ecosystems. In this study, seven state-of-the-art machine learning models including boosted regression tree (BRT), functional discriminant ana
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5624f3cb2104af1d5292818b98a12107
https://doi.org/10.1007/s11053-021-09940-3
https://doi.org/10.1007/s11053-021-09940-3
Protection against natural hazards is vital in land-use planning, especially in high-risk areas. Multi-hazard susceptibility maps can be used by land-use manager to guide urban development, so as to minimize the risk of natural disasters. The objecti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8bd457e6c856dc06c2b02c74d16c9d0b
https://doi.org/10.21203/rs.3.rs-2022191/v1
https://doi.org/10.21203/rs.3.rs-2022191/v1
Autor:
Soheila Pouyan, Mojgan Bordbar, Venkatesh Ravichandran, John P. Tiefenbacher, Hamid Reza Pourghasemi
This study monitored spatially drought in Iran country using distance measurement indicators. Five drought indicators measured from 2016 to 2020 were used: temperature condition index (TCI), vegetation condition index (VCI), vegetation health index (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4fe3c3660f110585aea7e293620709da
https://doi.org/10.21203/rs.3.rs-1842124/v1
https://doi.org/10.21203/rs.3.rs-1842124/v1
Autor:
Ahmed M. Youssef, Ali M. Mahdi, Mohamed M. Al-Katheri, Soheila Pouyan, Hamid Reza Pourghasemi
The current study aimed at producing a multi-hazard risk map for Hasher-Fayfa Basin. The Basin is part of Jazan region in the southwestern Saudi Arabia and is distinguished by mountainous terrain. Recently, this area has experienced many extreme natu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32b802008a00a2bd7f704331239b5793
https://doi.org/10.21203/rs.3.rs-1554302/v1
https://doi.org/10.21203/rs.3.rs-1554302/v1