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Engineering Applications of Computational Fluid Mechanics Volume 17, 2023 - Issue 1
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Research Article

Energy and cost management of different mixing ratios and morphologies on mono and hybrid nanofluids in collector technologies

Hai Taoa School of Computer and Information, Qiannan Normal University for Nationalities, Duyun, Guizhou, People's Republic of China;b College of Information and Artificial Intelligence, Nanchang Institute of Science and Technology, Nanchang, People's Republic of China;c Institute for Big Data Analytics and Artificial Intelligence (IBDAAI), Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia
,
Mohammed Suleman Aldlemyd Department of Mechanical Engineering, College of Mechanical Engineering Technology, Benghazi, Libya
,
Omer A. Alawie Department of Thermofluids, School of Mechanical Engineering, Universiti Teknologi Malaysia, UTM Skudai, Johor Bahru, Malaysia
,
Haslinda Mohamed Kamare Department of Thermofluids, School of Mechanical Engineering, Universiti Teknologi Malaysia, UTM Skudai, Johor Bahru, Malaysia
,
Raad Z. Homodf Department of Oil and Gas Engineering, Basrah University for Oil and Gas, Basrah, Iraq
,
Hussein A. Mohammede Department of Thermofluids, School of Mechanical Engineering, Universiti Teknologi Malaysia, UTM Skudai, Johor Bahru, Malaysia;g WA School of Mines-Minerals, Energy & Chemical Engineering, Curtin University, Bentley, WA, Australia
,
Mustafa K. A. Mohammedh Radiological Techniques Department, Al-Mustaqbal University College, Babylon, Iraq
,
Abdul Rahman Mallahi Department of Engineering, Reykjavik University, Reykjavík, Iceland
,
Nadhir Al-Ansarij Civil, Environmental and Natural Resources Engineering, Lulea University of Technology, Lulea, SwedenORCID Iconhttps://orcid.org/0000-0002-6790-2653
ORCID Icon &
Zaher Mundher Yaseenk Civil and Environmental Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia;l Interdisciplinary Research Center for Membranes and Water Security, King Fahd University of Petroleum & Minerals, Dhahran, Saudi ArabiaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-3647-7137
ORCID Icon show all
Article: 2164620 | Received 08 Nov 2022, Accepted 29 Dec 2022, Published online: 24 Jan 2023

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Senlin Zheng, Haodong Xu, Azfarizal Mukhtar, Ahmad Shah Hizam Md Yasir & Nima Khalilpoor. (2023) Estimating residential buildings’ energy usage utilising a combination of Teaching–Learning–Based Optimization (TLBO) method with conventional prediction techniques. Engineering Applications of Computational Fluid Mechanics 17:1.
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Nidhal Ben Khedher, Azfarizal Mukhtar, Ahmad Shah Hizam Md Yasir, Nima Khalilpoor, Loke Kok Foong, Binh Nguyen Le & Hasan Yildizhan. (2023) Approximating heat loss in smart buildings through large scale experimental and computational intelligence solutions. Engineering Applications of Computational Fluid Mechanics 17:1.
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Articles from other publishers (1)

Raad Z. Homod, Ghazwan Noori Saad Jreou, Hayder Ibrahim Mohammed, Amjad Almusaed, Ahmed Kadhim Hussein, Wael Al-Kouz, Hussein Togun, Muneer A. Ismael, Hussein Alawai Ibrahim Al-Saaidi, Omer A. Alawi & Zaher Mundher Yaseen. (2023) Crude oil production prediction based on an intelligent hybrid modelling structure generated by using the clustering algorithm in big data. Geoenergy Science and Engineering 225, pages 211703.
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