M
Mohammad Hossein Ahmadi
Researcher at University of Shahrood
Publications - 557
Citations - 16625
Mohammad Hossein Ahmadi is an academic researcher from University of Shahrood. The author has contributed to research in topics: Nanofluid & Exergy. The author has an hindex of 60, co-authored 477 publications receiving 11659 citations. Previous affiliations of Mohammad Hossein Ahmadi include Mazandaran University of Medical Sciences & Bu-Ali Sina University.
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Ground source heat pump carbon emissions and ground-source heat pump systems for heating and cooling of buildings: A review
Mohammad Hossein Ahmadi,Mohammad Ali Ahmadi,Mirhadi S. Sadaghiani,Mahyar Ghazvini,Sadegh Shahriar,Mohammad Alhuyi Nazari +5 more
Kragujevac Trees with Minimal Atom{Bond Connectivity Index
TL;DR: In the class of Kragujevac trees, the elements having minimal atom-bond connectivity index are determined as discussed by the authors, and an earlier conjecture [MATCH Commun. Math. Comput. Chem. 68 (2012) 131{136] is conrmed and slightly corrected.
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A review on the applications of intelligence methods in predicting thermal conductivity of nanofluids
Mahdi Ramezanizadeh,Mohammad Alhuyi Nazari,Mohammad Hossein Ahmadi,Giulio Lorenzini,Ioan Pop +4 more
TL;DR: It is concluded that the structure of the NN, including numbers of hidden layer and neurons, can noticeably influence their performance and, compared with mathematical correlations, obtained by curve fitting, ANNs are more accurate.
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Predicting the efficiency of CuO/water nanofluid in heat pipe heat exchanger using neural network
TL;DR: In this article, a neural network was used to predict the heat transfer coefficient and the heat conductivity resistance equation for a heat pipe heat exchanger, and the results showed that the network with an accuracy of 0.9938 was able to accurately evaluate the results obtained in this study.
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Optimisation of the thermodynamic performance of the Stirling engine
TL;DR: In this paper, the thermodynamic performance of an ideal Stirling cycle engine has been investigated, and the first law of thermodynamics has been employed to determine state of total heat addition, network output, and thermal efficiency with changes in dead volume percentage and regenerator effectiveness.