Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Zahraa S. Khudhair"'
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:
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:
Zahraa S. Khudhair, Salah L. Zubaidi, Sandra Ortega-Martorell, Nadhir Al-Ansari, Saleem Ethaib, Khalid Hashim
Publikováno v:
Environments, Vol 9, Iss 7, p 85 (2022)
Water quality has a significant influence on human health. As a result, water quality parameter modelling is one of the most challenging problems in the water sector. Therefore, the major factor in choosing an appropriate prediction model is accuracy
Externí odkaz:
https://doaj.org/article/15760e86c7d84479b72c5a7889b78771