Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Sinan Q Salih"'
Autor:
Sinan Q Salih, AbdulRahman A Alsewari, H A Wahab, Mustafa K A Mohammed, Tarik A Rashid, Debashish Das, Shadi S Basurra
Publikováno v:
PLoS ONE, Vol 18, Iss 7, p e0288044 (2023)
The retrieval of important information from a dataset requires applying a special data mining technique known as data clustering (DC). DC classifies similar objects into a groups of similar characteristics. Clustering involves grouping the data aroun
Externí odkaz:
https://doaj.org/article/ef40df3e83524235bd1d5daa0add4fd0
Autor:
Zaher Mundher Yaseen, Wan Hanna Melini Wan Mohtar, Ameen Mohammed Salih Ameen, Isa Ebtehaj, Siti Fatin Mohd Razali, Hossein Bonakdari, Sinan Q Salih, Nadhir Al-Ansari, Shamsuddin Shahid
Publikováno v:
IEEE Access, Vol 7, Pp 74471-74481 (2019)
The performance of the bio-inspired adaptive neuro-fuzzy inference system (ANFIS) models are proposed for forecasting highly non-linear streamflow of Pahang River, located in a tropical climatic region of Peninsular Malaysia. Three different bio-insp
Externí odkaz:
https://doaj.org/article/58b59520135c495e8101af2af5a7416c
Drought index prediction using advanced fuzzy logic model: Regional case study over Kumaon in India.
Autor:
Anurag Malik, Anil Kumar, Sinan Q Salih, Sungwon Kim, Nam Won Kim, Zaher Mundher Yaseen, Vijay P Singh
Publikováno v:
PLoS ONE, Vol 15, Iss 5, p e0233280 (2020)
A new version of the fuzzy logic model, called the co-active neuro fuzzy inference system (CANFIS), is introduced for predicting standardized precipitation index (SPI). Multiple scales of drought information at six meteorological stations located in
Externí odkaz:
https://doaj.org/article/652211a7a6794aeb962ca1bbe278055a
Publikováno v:
IEEE Access, Vol 9, Pp 51146-51165 (2021)
In this paper, Chaotic Artificial Ecosystem-based Optimization Algorithm (CAEO) is proposed and utilized to determine the optimal solution which achieves the economical operation of the electrical power system and reducing the environmental pollution
Externí odkaz:
https://doaj.org/article/9416d0c74d05415aabdb57db7ae5e2aa
Autor:
Wang Jing, Zaher Mundher Yaseen, Shamsuddin Shahid, Mandeep Kaur Saggi, Hai Tao, Ozgur Kisi, Sinan Q. Salih, Nadhir Al-Ansari, Kwok-Wing Chau
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 13, Iss 1, Pp 811-823 (2019)
Evapotranspiration is one of the most important components of the hydrological cycle as it accounts for more than two-thirds of the global precipitation losses. Indeed, the accurate prediction of reference evapotranspiration (ETo) is highly significa
Externí odkaz:
https://doaj.org/article/85310e20e2304d439a3f25875a104083
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 13, Iss 1, Pp 1165-1181 (2019)
To support initiatives for global emissions targets set by the United Nations Framework Convention on climate change, sustainable extraction of usable power from freely-available global solar radiation as a renewable energy resource requires accurate
Externí odkaz:
https://doaj.org/article/b555517e315d4e0bb6867a055ca0bad7
Autor:
Sinan Q. Salih, Mohammed Suleman Aldlemy, Mohammad Rasidi Rasani, A. K. Ariffin, Tuan Mohammad Yusoff Shah Tuan Ya, Nadhir Al-Ansari, Zaher Mundher Yaseen, Kwok-Wing Chau
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 13, Iss 1, Pp 860-877 (2019)
This study aims to develop an adaptive mesh refinement (AMR) algorithm combined with Cut-Cell IBM using two-stage pressure–velocity corrections for thin-object FSI problems. To achieve the objective of this study, the AMR-immersed boundary method (
Externí odkaz:
https://doaj.org/article/39e9cba006e1419b9289c1aa5d03d1fb
Autor:
Ali Ibrahim Lawah, Abdullahi Abdu Ibrahim, Sinan Q. Salih, Hussam S. Alhadawi, Poh Soon JosephNg
Publikováno v:
IEEE Access. 11:42416-42430
A metaheuristic approach based on the nature-inspired and well-known Grey Wolf Optimization algorithm (GWO) was employed in this study to design an approach for retrieving strong designs of 8×8 substitution boxes (S-boxes). The GWO was developed as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b6f044c18a4dec4d119cd45cda9de3a
https://doi.org/10.1109/access.2023.3266290
https://doi.org/10.1109/access.2023.3266290
Autor:
Ali K Al-Mousoi, Mustafa K. A. Mohammed, Sinan Q. Salih, Rahul Pandey, Jaya Madan, Davoud Dastan, Erdi Akman, AbdulRahman A. Alsewari, Zaher Mundher Yaseen
Publikováno v:
Energy & Fuels. 36:14403-14410
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3928104e06aabba1eccd4db129843e7
https://doi.org/10.1021/acs.energyfuels.2c03390
https://doi.org/10.1021/acs.energyfuels.2c03390
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783031252730
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5e0893b1674f676880eaaecf6be1399
https://doi.org/10.1007/978-3-031-25274-7_41
https://doi.org/10.1007/978-3-031-25274-7_41
