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- Oxford Brookes UniversityGB7 papers
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4 papers · 1 filter
Prediction of the energy and exergy performance of F135 PW100 turbofan engine via deep learning
Mohammadreza Sabzehali, Amir Hossein Rabieeb, Mahdi Alibeigia +1
In the present study, the effects of flight-Mach number, flight altitude, fuel types, and intake air temperature on thrust specific fuel consumption, thrust, intake air mass flow r…
Accurate Discharge Coefficient Prediction of Streamlined Weirs by Coupling Linear Regression and Deep Convolutional Gated Recurrent Unit
Weibin Chen, Danial Sharifrazi, Guoxi Liang +3
Streamlined weirs which are a nature-inspired type of weir have gained tremendous attention among hydraulic engineers, mainly owing to their established performance with high disch…
Systematic review of deep learning and machine learning for building energy
Ardabili Sina, Leila Abdolalizadeh, Csaba Mako +2
The building energy (BE) management has an essential role in urban sustainability and smart cities. Recently, the novel data science and data-driven technologies have shown signifi…
Integration of neural network and fuzzy logic decision making compared with bilayered neural network in the simulation of daily dew point temperature
Guodao Zhang, Shahab S. Band, Sina Ardabili +2
In this research, dew point temperature (DPT) is simulated using the data-driven approach. Adaptive Neuro-Fuzzy Inference System (ANFIS) is utilized as a data-driven technique to f…