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Cited article:
Alibakhsh Kasaeian, Mehdi Mehrpooya, Mahsa Aghaie, Mohammad Hossein Ahmadi
Mechanics & Industry, 17 5 (2016) 509
Published online: 2016-06-10
This article has been cited by the following article(s):
Energy analysis and shadow modeling of a rectangular type salt gradient solar pond
Mohamad Aramesh, Alibakhsh Kasaeian, Fathollah Pourfayaz and Dongsheng Wen
Solar Energy 146 161 (2017)
DOI: 10.1016/j.solener.2017.02.026
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Development of multilayer perceptron artificial neural network (MLP-ANN) and least square support vector machine (LSSVM) models to predict Nusselt number and pressure drop of TiO2/water nanofluid flows through non-straight pathways
Mostafa Kahani, Mohammad Hossein Ahmadi, Afshin Tatar and Milad Sadeghzadeh
Numerical Heat Transfer, Part A: Applications 74 (4) 1190 (2018)
DOI: 10.1080/10407782.2018.1523597
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ANN model to predict the performance of parabolic dish collector with tubular cavity receiver
Reyhaneh Loni, Alibakhsh Kasaeian, Kazem Shahverdi, et al.
Mechanics & Industry 18 (4) 408 (2017)
DOI: 10.1051/meca/2017016
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Modeling of solar energy systems using artificial neural network: A comprehensive review
Ammar H. Elsheikh, Swellam W. Sharshir, Mohamed Abd Elaziz, et al.
Solar Energy 180 622 (2019)
DOI: 10.1016/j.solener.2019.01.037
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Improvement of solar flat‐plate collector performance by optimum tilt angle and minimizing top heat loss coefficient using particle swarm optimization
Fathollah Pourfayaz, Reza Shirmohammadi, Akbar Maleki and Alibakhsh Kasaeian
Energy Science & Engineering 8 (8) 2771 (2020)
DOI: 10.1002/ese3.693
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