Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Mohammadnabi Jalali"'
Autor:
Ali Mokhtar, Mohammadnabi Jalali, Hongming He, Nadhir Al-Ansari, Ahmed Elbeltagi, Karam Alsafadi, Hazem Ghassan Abdo, Saad Sh. Sammen, Yeboah Gyasi-Agyei, Jesus Rodrigo-Comino
Publikováno v:
IEEE Access, Vol 9, Pp 65503-65523 (2021)
Accurate estimation of drought events is vital for the mitigation of their adverse consequences on water resources, agriculture and ecosystems. Machine learning algorithms are promising methods for drought prediction as they require less time, minima
Externí odkaz:
https://doaj.org/article/c9c3f73ddb864b27afd78fb6f2ecbf60
Publikováno v:
Irrigation and Drainage. 70:732-742
Autor:
Saman Nikmehr, Eisa Maroufpoor, Naser Shiri, Saman Maroufpoor, Mohammadnabi Jalali, Jalal Shiri
Publikováno v:
Environmental Science and Pollution Research. 27:28183-28197
Simulation of groundwater quality is important for managing water resources and mitigating water shortages, especially in arid and semiarid areas. Geostatistical models have been used for spatial prediction and interpolation of groundwater parameters
Autor:
Arash Majidi, Neda Mahmoudi, Zaher Mundher Yaseen, Mohammadnabi Jalali, Jalal Shiri, Mehdi Jamei, Saman Maroufpoor
Publikováno v:
Agricultural Water Management. 261:107342
Soil moisture content (SMC) prediction can contribute to diverse geo-science engineering applications such as plantation, crops production, and several irrigation activities. Although, there have been several methodologies introduced for the SMS esti
Autor:
Mehdi Jamei, Ahmed Elbeltagi, Saman Maroufpoor, Masoud Karbasi, Mozhdeh Jamei, Mohammadnabi Jalali, Negin Najafzadeh
Publikováno v:
Computers and Electronics in Agriculture. 193:106687