Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Hussein Al-Bugharbee"'
Autor:
Zahraa S. Khudhair, Salah L. Zubaidi, Anmar Dulaimi, Hussein Al-Bugharbee, Yousif Raad Muhsen, Ramadhansyah Putra Jaya, Hussein Mohammed Ridha, Syed Fawad Raza, Saleem Ethaib
Publikováno v:
Results in Engineering, Vol 23, Iss , Pp 102541- (2024)
Salinity is a classic problem in planning the quality of freshwater resources management. Recent studies related to hybrid machine learning models have shown it's capability to simulate salinity dynamics. However, previous studies of metaheuristic al
Externí odkaz:
https://doaj.org/article/9224820c25a2423fa1df1be577744f7f
Autor:
Salah L. Zubaidi, Pavitra Kumar, Hussein Al-Bugharbee, Ali Najah Ahmed, Hussein Mohammed Ridha, Kim Hung Mo, Ahmed El-Shafie
Publikováno v:
Applied Water Science, Vol 13, Iss 9, Pp 1-10 (2023)
Abstract Accurate prediction of short-term water demand, especially, in the case of extreme weather conditions such as flood, droughts and storms, is crucial information for the policy makers to manage the availability of freshwater. This study devel
Externí odkaz:
https://doaj.org/article/b62559a8819245f7bf605f9d32541341
Autor:
Salah L. Zubaidi, Khalid Hashim, Saleem Ethaib, Nabeel Saleem Saad Al-Bdairi, Hussein Al-Bugharbee, Sadik Kamel Gharghan
Publikováno v:
Journal of King Saud University: Engineering Sciences, Vol 34, Iss 3, Pp 163-169 (2022)
This study provides a novel methodology to predict monthly water demand based on several weather variables scenarios by using combined techniques including discrete wavelet transform, principal component analysis, and particle swarm optimisation. To
Externí odkaz:
https://doaj.org/article/7a3bc12d79eb4d13a0ccb48bbcade0cf
Autor:
Zahraa S. Khudhair, Salah L. Zubaidi, Hussein Al-Bugharbee, Nadhir Al-Ansari, Hussein Mohammed Ridha
Publikováno v:
Cogent Engineering, Vol 9, Iss 1 (2022)
Salinity is a classic problem in water quality management since it is directly associated with low water quality indices. Debate continues about selecting the best model for water quality forecasting, it remains a major challenge and causes much unce
Externí odkaz:
https://doaj.org/article/c9a3193459294e9280231c6beaccf7f1
Autor:
Mustafa A. Alawsi, Salah L. Zubaidi, Nadhir Al-Ansari, Hussein Al-Bugharbee, Hussein Mohammed Ridha
Publikováno v:
Atmosphere, Vol 13, Iss 9, p 1436 (2022)
Modelling drought is vital to water resources management, particularly in arid areas, to reduce its effects. Drought severity and frequency are significantly influenced by climate change. In this study, a novel hybrid methodology was built, data prep
Externí odkaz:
https://doaj.org/article/d40adb43feab4c97a40bd60b891602e3
Autor:
Salah L. Zubaidi, Iqbal H. Abdulkareem, Khalid S. Hashim, Hussein Al-Bugharbee, Hussein Mohammed Ridha, Sadik Kamel Gharghan, Fuod F. Al-Qaim, Magomed Muradov, Patryk Kot, Rafid Al-Khaddar
Publikováno v:
Water, Vol 12, Iss 10, p 2692 (2020)
Urban water demand prediction based on climate change is always challenging for water utilities because of the uncertainty that results from a sudden rise in water demand due to stochastic patterns of climatic factors. For this purpose, a novel combi
Externí odkaz:
https://doaj.org/article/ef531de39068409ab7016e5b34100dff
Autor:
Salah L. Zubaidi, Sandra Ortega-Martorell, Hussein Al-Bugharbee, Ivan Olier, Khalid S. Hashim, Sadik Kamel Gharghan, Patryk Kot, Rafid Al-Khaddar
Publikováno v:
Water, Vol 12, Iss 7, p 1885 (2020)
The proper management of a municipal water system is essential to sustain cities and support the water security of societies. Urban water estimating has always been a challenging task for managers of water utilities and policymakers. This paper appli
Externí odkaz:
https://doaj.org/article/b140809eae2a4779b5ac00a1b2ff3dc9
Autor:
Salah L. Zubaidi, Hussein Al-Bugharbee, Sandra Ortega-Martorell, Sadik Kamel Gharghan, Ivan Olier, Khalid S. Hashim, Nabeel Saleem Saad Al-Bdairi, Patryk Kot
Publikováno v:
Water, Vol 12, Iss 6, p 1628 (2020)
Accurate and reliable urban water demand prediction is imperative for providing the basis to design, operate, and manage water system, especially under the scarcity of the natural water resources. A new methodology combining discrete wavelet transfor
Externí odkaz:
https://doaj.org/article/2320c38f93954f968e472514cd2e3cd7
Autor:
Nabeel Saleem Saad Al-Bdairi, Salah L. Zubaidi, Hussein Al-Bugharbee, Sadik Kamel Gharghan, Saleem Ethaib, Khalid S. Hashim
Publikováno v:
Journal of King Saud University - Engineering Sciences. 34:163-169
This study provides a novel methodology to predict monthly water demand based on several weather variables scenarios by using combined techniques including discrete wavelet transform, principal component analysis, and particle swarm optimisation. To
Publikováno v:
Diagnostyka. 22:25-32