Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Alqamah Sayeed"'
Autor:
Sai Deepak Pinakana, Amit U. Raysoni, Alqamah Sayeed, Juan L. Gonzalez, Owen Temby, Dawid Wladyka, Katarzyna Sepielak, Pawan Gupta
Publikováno v:
Environmental Advances, Vol 16, Iss , Pp 100546- (2024)
Burning is a common method to dispose agricultural biomass residue. This practice is widely used by farmers during pre- and post-harvest seasons for crops such as wheat, rice, grass seed, soy, cotton, sugarcane, and corn. Farmers choose this method b
Externí odkaz:
https://doaj.org/article/a6415d5a4fb94812bdb975d0ac57f2a5
Autor:
Alqamah Sayeed, Paul Lin, Pawan Gupta, Nhu Nguyen Minh Tran, Virginie Buchard, Sundar Christopher
Publikováno v:
Earth and Space Science, Vol 9, Iss 11, Pp n/a-n/a (2022)
Abstract Health and environmental hazards related to high pollution concentrations have become a serious issue from public policy perspectives and human health. Using Machine Learning (ML) approach, this research aims to improve the estimation of gri
Externí odkaz:
https://doaj.org/article/6f39db251c1a4c8d8d5656bfbdc3558a
Autor:
Alqamah Sayeed, Yunsoo Choi, Ebrahim Eslami, Jia Jung, Yannic Lops, Ahmed Khan Salman, Jae-Bum Lee, Hyun-Ju Park, Min-Hyeok Choi
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Abstract Issues regarding air quality and related health concerns have prompted this study, which develops an accurate and computationally fast, efficient hybrid modeling system that combines numerical modeling and machine learning for forecasting co
Externí odkaz:
https://doaj.org/article/61a2b4505f114dcaba24ee227ece1377
Autor:
Alqamah Sayeed, Paul Lin, Pawan Gupta, Nhu Nguyen Minh Tran, Virginie Buchard, Sundar Christopher
Publikováno v:
Earth and Space Science. 9
Publikováno v:
Neural Computing and Applications. 33:15073-15089
This paper proposes a deep learning model that integrates a convolutional neural network and a gated recurrent unit with groups of neighboring stations to accurately predict PM2.5 concentrations at 25 stations in Seoul, South Korea. The deep learning
Autor:
Min Hyeok Choi, Yannic Lops, Jia Jung, Ahmed Khan Salman, Alqamah Sayeed, Hyun Ju Park, Yunsoo Choi, Ebrahim Eslami, Jae Bum Lee
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Scientific Reports
Scientific Reports
Issues regarding air quality and related health concerns have prompted this study, which develops an accurate and computationally fast, efficient hybrid modeling system that combines numerical modeling and machine learning for forecasting concentrati
Publikováno v:
Journal of Geophysical Research: Atmospheres. 127
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Neural Computing and Applications. 32:11827-11836
Several studies have used regression analyses to forecast pollen concentrations, yet few have applied a deep neural network in their research. This study implements a deep convolutional neural network with the great potential to recognize patterns of
Publikováno v:
Atmospheric Environment. 289:119348