Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Salah L Zubaidi"'
Publikováno v:
Diagnostyka, Vol 22, Iss 4, Pp 25-32 (2021)
Abstract: Finding a reliable machines condition monitoring technique has been attracted many researchers to avoid the sudden failure in machines and the unexpected consequences. This work proposes a combined fault diagnosis methodology of air compres
Externí odkaz:
https://doaj.org/article/300894e74fff499a8ab237d3d3505aba
Autor:
Salah L. Zubaidi, Hussein Al-Bugharbee, Ali W. Alattabi, Hussein Mohammed Ridha, Khalid Hashim, Nadhir Al-Ansari, Zaher Mundher Yaseen
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract This research offers a novel methodology for quantifying water needs by assessing weather variables, applying a combination of data preprocessing approaches, and an artificial neural network (ANN) that integrates using a genetic algorithm en
Externí odkaz:
https://doaj.org/article/57281b6150334cb080b1f5ae4272c9c5
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:
Sarah J. Mohammed, Salah L. Zubaidi, Nadhir Al-Ansari, Hussein Mohammed Ridha, Anmar Dulaimi, Ruqayah Al-Khafaji
Publikováno v:
Advances in Civil Engineering, Vol 2023 (2023)
With the rapid development of machine learning (ML) models, the artificial neural network (ANN) is being increasingly applied for forecasting hydrological processes. However, researchers have not treated hybrid ML models in much detail. To address th
Externí odkaz:
https://doaj.org/article/597272d3e3a9459aa706c00ad7d9227c
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:
Sarah J. Mohammed, Salah L. Zubaidi, Sandra Ortega-Martorell, Nadhir Al-Ansari, Saleem Ethaib, Khalid Hashim
Publikováno v:
Cogent Engineering, Vol 9, Iss 1 (2022)
The community’s well-being and economic livelihoods are heavily influenced by the water level of watersheds. The changes in water levels directly affect the circulation processes of lakes and rivers that control water mixing and bottom sediment res
Externí odkaz:
https://doaj.org/article/6ca8f462ea6a4ab6af268fbb0f80ab8e
Publikováno v:
Cogent Engineering, Vol 9, Iss 1 (2022)
This work aims to evaluate water scarcity in Thi-Qar governorate, Iraq, based on GIS estimation, environmental data, climate-change effects, and detection of the changes in marshes over the last three decades (1991–2021). The methodology process in
Externí odkaz:
https://doaj.org/article/db6a6428128a40d49a2dd2d4c913b496
Publikováno v:
Przegląd Naukowy Inżynieria i Kształtowanie Środowiska, Vol 30, Iss 2, Pp 365-375 (2021)
The historic centre of the Iraqi city of Al-Najaf embraces a seasonal pilgrimage to its holy sites that forces unusual urban conditions. This paper examines the impact of development projects and studies on the heritage integrity of the public (relig
Externí odkaz:
https://doaj.org/article/9285bcfec01c4e839d9772e9e3d6363e