Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Nabeel Saleem Saad"'
Publikováno v:
IATSS Research, Vol 47, Iss 1, Pp 1-13 (2023)
The fatality rates of motorcyclists are substantially higher than for passenger car occupants per registered vehicle and vehicle miles traveled. There is limited information regarding the contributing factors associated with motorcycle injury severit
Externí odkaz:
https://doaj.org/article/1c9f354976114534acf756501b00d90e
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
Publikováno v:
International Journal of Transportation Science and Technology, Vol 9, Iss 2, Pp 116-127 (2020)
In spite of numerous efforts to quantitatively identify the factors contributing to the injury severity of different crash types in rural and urban settings, the distinction between rural and urban areas regarding the injury severity of run-off-road
Externí odkaz:
https://doaj.org/article/c91c16176f3c46b38aaa33a4f3f60ad5
Autor:
Sarah J. Mohammed, Salah L. Zubaidi, Nadhir Al-Ansari, Hussein Mohammed Ridha, Nabeel Saleem Saad Al-Bdairi
Publikováno v:
Advances in Civil Engineering, Vol 2022 (2022)
Water level (WL) forecasting has become a difficult undertaking due to spatiotemporal fluctuations in climatic factors and complex physical processes. This paper proposes a novel hybrid machine learning model based on an artificial neural network (AN
Externí odkaz:
https://doaj.org/article/fdc77fd4b87749d4ae23ab12e4452e9d
Autor:
Baydaa Abdul Kareem, Salah L. Zubaidi, Hussein Mohammed Ridha, Nadhir Al-Ansari, Nabeel Saleem Saad Al-Bdairi
Publikováno v:
Hydrology, Vol 9, Iss 10, p 171 (2022)
Accurate streamflow prediction is significant when developing water resource management and planning, forecasting floods, and mitigating flood damage. This research developed a novel methodology that involves data pre-processing and an artificial neu
Externí odkaz:
https://doaj.org/article/291de7a62c514589a8fc0a4845354d95
Autor:
Mustafa A. Alawsi, Salah L. Zubaidi, Nabeel Saleem Saad Al-Bdairi, Nadhir Al-Ansari, Khalid Hashim
Publikováno v:
Hydrology, Vol 9, Iss 7, p 115 (2022)
Drought is a prolonged period of low precipitation that negatively impacts agriculture, animals, and people. Over the last decades, gradual changes in drought indices have been observed. Therefore, understanding and forecasting drought is essential t
Externí odkaz:
https://doaj.org/article/b122056183f045518fe62f8948bfa244
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
Publikováno v:
In International Journal of Transportation Science and Technology September 2024
Publikováno v:
In IATSS Research April 2023 47(1):1-13
Publikováno v:
In International Journal of Transportation Science and Technology October 2023