Zobrazeno 1 - 10
of 123
pro vyhledávání: '"Alireza Arabameri"'
Autor:
Biplab Sarkar, Abdur Rahman, Aznarul Islam, Atiqur Rahman, Sk. Mafizul Haque, Swapan Talukdar, Abu Reza Md Towfiqul Islam, Subodh Chandra Pal, Chaitanya B. Pande, Edris Alam, Alireza Arabameri
Publikováno v:
Geocarto International, Vol 39, Iss 1 (2024)
AbstractThe increasing soil erosion (SE) and the associated problems for society, economy, and environment sparked a lot of interest in estimating and mapping SE at different basin scales. The estimation of SE exhibits that SE ranges from 10 to 50 t
Externí odkaz:
https://doaj.org/article/ebffa55273764a9eae65ee32bc7ba428
Autor:
Alireza Arabameri, Amir Seyed Danesh, M. Santosh, Artemi Cerda, Subodh Chandra Pal, Omid Ghorbanzadeh, Paramita Roy, Indrajit Chowdhuri
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 13, Iss 1, Pp 949-974 (2022)
Flood is a common global natural hazard, and detailed flood susceptibility maps for specific watersheds are important for flood management measures. We compute the flood susceptibility map for the Kaiser watershed in Iran using machine learning model
Externí odkaz:
https://doaj.org/article/1e4bc4a4339748629786e0d9903723e9
Autor:
Alireza Arabameri, Fereshteh Afzali
Publikováno v:
پژوهشهای ترجمه در زبان و ادبیات عربی, Vol 12, Iss 26, Pp 135-163 (2022)
The model of critical analysis of translation, which redefines translation based on the concept of "filtering", is fundamentally based on Halliday's theory of Systemic Functional Linguistics (1978), and filters a communicative event linguistically, c
Externí odkaz:
https://doaj.org/article/4c9dda6849144f60b34e30898f44f0ce
Autor:
Alireza Arabameri, Nitheshnirmal Sadhasivam, Hamza Turabieh, Majdi Mafarja, Fatemeh Rezaie, Subodh Chandra Pal, M. Santosh
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-18 (2021)
Abstract We introduce novel hybrid ensemble models in gully erosion susceptibility mapping (GESM) through a case study in the Bastam sedimentary plain of Northern Iran. Four new ensemble models including credal decision tree-bagging (CDT-BA), credal
Externí odkaz:
https://doaj.org/article/2b232a1b707744089733828da19af3ad
Autor:
Alireza Arabameri, Subodh Chandra Pal, Romulus Costache, Asish Saha, Fatemeh Rezaie, Amir Seyed Danesh, Biswajeet Pradhan, Saro Lee, Nhat-Duc Hoang
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 12, Iss 1, Pp 469-498 (2021)
Spatial modelling of gully erosion at regional level is very relevant for local authorities to establish successful counter-measures and to change land-use planning. This work is exploring and researching the potential of a genetic algorithm-extreme
Externí odkaz:
https://doaj.org/article/09c9ba3100974df9b00a0d01674ea254
Autor:
Alireza Arabameri, M. Santosh, Sunil Saha, Omid Ghorbanzadeh, Jagabandhu Roy, John P. Tiefenbacher, Hossein Moayedi, Romulus Costache
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 12, Iss 1, Pp 1343-1370 (2021)
Landslides are a form of soil erosion threatening the sustainability of some areas of the world. There is, therefore, a need to investigate landslide rates and behaviour. In this research, we introduced a novel hybrid artificial intelligence approach
Externí odkaz:
https://doaj.org/article/4fceed1ebf704a76ad1009c7d0f9cfcd
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 12, Iss 1, Pp 1488-1507 (2021)
The present study aims to evaluate the susceptibility to floods in the river basin of Buzau in Romania through the following 6 machine learning models: Support Vector Machine (SVM), J48 decision tree, Adaptive Neuro-Fuzzy Inference System (ANFIS), Ra
Externí odkaz:
https://doaj.org/article/8da58a2631e14f5a990b1cbdfc146f0c
Autor:
Manish Pandey, Aman Arora, Alireza Arabameri, Romulus Costache, Naveen Kumar, Varun Narayan Mishra, Hoang Nguyen, Jagriti Mishra, Masood Ahsan Siddiqui, Yogesh Ray, Sangeeta Soni, UK Shukla
Publikováno v:
Frontiers in Earth Science, Vol 9 (2021)
This study has developed a new ensemble model and tested another ensemble model for flood susceptibility mapping in the Middle Ganga Plain (MGP). The results of these two models have been quantitatively compared for performance analysis in zoning flo
Externí odkaz:
https://doaj.org/article/63c94122f48a4128bf6cd6689f759aec
Autor:
Alireza Arabameri, Subodh Chandra Pal, Fatemeh Rezaie, Omid Asadi Nalivan, Indrajit Chowdhuri, Asish Saha, Saro Lee, Hossein Moayedi
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 36, Iss , Pp 100848- (2021)
Study region: The present study has been carried out in the Tabriz River basin (5397 km2) in north-western Iran. Elevations vary from 1274 to 3678 m above sea level, and slope angles range from 0 to 150.9 %. The average annual minimum and maximum tem
Externí odkaz:
https://doaj.org/article/4f3573606f9646a498dcfab3417c9ed0
Autor:
Alireza Arabameri, Saro Lee, Fatemeh Rezaie, Subodh Chandra Pal, Omid Asadi Nalivan, Asish Saha, Indrajit Chowdhuri, Hossein Moayedi
Publikováno v:
Frontiers in Earth Science, Vol 9 (2021)
The optimal prediction of land subsidence (LS) is very much difficult because of limitations in proper monitoring techniques, field-base surveys and knowledge related to functioning and behavior of LS. Thus, due to the lack of LS susceptibility maps
Externí odkaz:
https://doaj.org/article/f02219534b3d4717abd1ee3169bc980d