Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Anas Mahmood"'
Autor:
Zaher Mundher Yaseen, Anas Mahmood Al-Juboori, Ufuk Beyaztas, Nadhir Al-Ansari, Kwok-Wing Chau, Chongchong Qi, Mumtaz Ali, Sinan Q. Salih, Shamsuddin Shahid
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 14, Iss 1, Pp 70-89 (2020)
Evaporation, one of the fundamental components of the hydrology cycle, is differently influenced by various meteorological variables in different climatic regions. The accurate prediction of evaporation is essential for multiple water resources engin
Externí odkaz:
https://doaj.org/article/2b526924b08d4f7d98fe8f9260912049
Publikováno v:
Complexity, Vol 2021 (2021)
Streamflow is associated with several sources on nonstationaries and hence developing machine learning (ML) models is always the motive to provide a reliable methodology to understand the actual mechanism of streamflow. The current research was devot
Externí odkaz:
https://doaj.org/article/6dc26355fd0f44e0a3d48b01c48f845c
Autor:
Anas Mahmood, Salih Raheem
Publikováno v:
مجلة التربية والعلم, Vol 18, Iss 3, Pp 93-107 (2006)
This study was designed to examine the effect of aqueous extracts Q$ Cymbopogon citratus Cardaria draba leaves and Artemisia scoparia leaves and seeds on the levels of glucose, cholesterol, triglycrides, total protein and urea in Alloxan-induced diab
Externí odkaz:
https://doaj.org/article/f087463ace2a4711b644128953ad7a49
Autor:
Al-Juboori, Anas Mahmood1 anasmmr@uomosul.edu.iq
Publikováno v:
Jordan Journal of Civil Engineering. 2022, Vol. 16 Issue 1, p12-20. 9p.
Akademický článek
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Autor:
Anas Mahmood Al-Juboori
Publikováno v:
Water Resources Management.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19ed2829e52779f37bdfcf40ad869dd3
https://doi.org/10.1007/s11269-023-03520-1
https://doi.org/10.1007/s11269-023-03520-1
Autor:
Anas Mahmood Al-Juboori
Publikováno v:
Water Resources Management. 36:717-728
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0017d280483eeaf5642c4ee371dcf42b
https://doi.org/10.1007/s11269-021-03053-5
https://doi.org/10.1007/s11269-021-03053-5
Publikováno v:
Complexity, Vol 2021 (2021)
Streamflow is associated with several sources on nonstationaries and hence developing machine learning (ML) models is always the motive to provide a reliable methodology to understand the actual mechanism of streamflow. The current research was devot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6f2482b60ef942afcc3dc05b54b99bb
https://doi.org/10.1155/2021/3721661
https://doi.org/10.1155/2021/3721661
Publikováno v:
Journal of Asia-Pacific Entomology. 26:102095
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27e3231e2400a992d99d57b24f0ada39
https://doi.org/10.1016/j.aspen.2023.102095
https://doi.org/10.1016/j.aspen.2023.102095
Autor:
Anas Mahmood Al-Juboori
Publikováno v:
Water Resources Management. 35:729-743
The issue of predicting monthly streamflow data is an important issue in water resources engineering. In this paper, a hybrid model was proposed to generate monthly streamflow data for a river from the annual streamflow data. To develop the proposed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::459c4074ad88045c0920a3841b45f9ff
https://doi.org/10.1007/s11269-020-02757-4
https://doi.org/10.1007/s11269-020-02757-4