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Shaoyong Han, Zhun Zhu, Mina Mortazavi, Ahmed M. El-Sherbeeny and Peyman Mehrabi
The aim of this paper is to study the performance of a composite floor system at different heat stages using artificial intelligence to derive a sustainable design and to select the most critical factors for a sustainable floor system at elevated tempera...
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Yaolin Lin, Jingye Liu, Kamiel Gabriel, Wei Yang and Chun-Qing Li
Buildings consume about 40% of the global energy. Building energy consumption is affected by multiple factors, including building physical properties, performance of the mechanical system, and occupants? activities. The prediction of building energy cons...
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Sudhanshu Panda, Devendra M. Amatya, Rhett Jackson, Ge Sun and Asko Noormets
The study goal was to develop automated user-friendly remote-sensing based evapotranspiration (ET) estimation tools: (i) artificial neural network (ANN) based models, (ii) ArcGIS-based automated geospatial model, and (iii) executable software to predict ...
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Guimei Jiao, Tianlin Guo and Yongjian Ding
Hydrogeological disasters occur frequently. Proposing an effective prediction method for hydrology data can play a guiding role in disaster prevention; however, due to the complexity and instability of hydrological data, this is difficult. This paper pro...
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Ming-Chang Wu and Gwo-Fong Lin
Floods, one of the most significant natural hazards, often result in loss of life and property. Accurate hourly streamflow forecasting is always a key issue in hydrology for flood hazard mitigation. To improve the performance of hourly streamflow forecas...
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