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Nabil Nassif

Affiliations: 
Computational Science and Engineering North Carolina Agricultural and Technical State University 
Area:
Mechanical Engineering, Civil Engineering, Computer Engineering
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"Nabil Nassif"
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Talib R, Rodrigues A, Nassif N. (2020) Energy Recovery Equipment and Control Strategies in Various Climate Regions Advances in Science, Technology and Engineering Systems Journal. 5: 47-53
Talib R, Nassif N, Arida M, et al. (2018) Chilled Water VAV System Optimization and Modeling Using Artificial Neural Networks American Journal of Engineering and Applied Sciences. 11: 1188-1198
Nassif N, Buford J, Abu-Lebdeh TM. (2017) Developing and Testing Dynamic Models for HVAC Systems Using System Identification Approach American Journal of Engineering and Applied Sciences. 10: 192-199
Seong NC, Jeeheon K, Chang CW, et al. (2017) Development of Optimization Algorithms for Building Energy Model Using Artificial Neural Networks Journal of the Korean Society of Living Environmental System. 24: 29-36
Raees NA, Nassif N, Rifaie FA. (2014) The Effect Of Ventilation And Economizer On Energy Consumptions For Air Sourceheat Pumps In Schools American Journal of Engineering and Applied Sciences. 7: 58-65
Tesiero RC, Nassif N, Singh H. (2014) Low-Cost Strategies To Save Energy In K-12 Schools American Journal of Engineering and Applied Sciences. 7: 45-57
Nassif N, Tesiero R, AlRaees N. (2014) A New Air Conditioning System Fan Model Based On Numerical Analysis American Journal of Engineering and Applied Sciences. 7: 36-44
Lin Y, Nassif N, Liu M. (2014) Implementation of energy efficiency measures in a semiconductor building Energy Engineering: Journal of the Association of Energy Engineering. 111: 34-58
Nassif N. (2014) Modeling and optimization of HVAC systems using artificial neural network and genetic algorithm Building Simulation. 7: 237-245
Nassif N. (2013) Single and multivariate regression models for estimating monthly energy consumption in schools in hot and humid climates Energy Engineering: Journal of the Association of Energy Engineering. 110: 33-54
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