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    Simulation of Climate Change Impacts on Streamflow in the Bosten Lake Basin Using an Artificial Neural Network Model 

    Source: Journal of Hydrologic Engineering:;2008:;Volume ( 013 ):;issue: 003
    Author(s): Xi Chen; Jinglu Wu; Qi Hu
    Publisher: American Society of Civil Engineers
    Abstract: Impacts of climate change on water resource in the Bosten Lake basin in the south slope of the Tianshan Mountains in Xinjiang, China, were evaluated using an artificial neural network model. The model was trained using the ...
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    A Sequential Sampling Approach for Multi-Fidelity Surrogate Modeling-Based Robust Design Optimization 

    Source: Journal of Mechanical Design:;2022:;volume( 144 ):;issue: 011:;page 111703
    Author(s): Lin, Quan;Zhou, Qi;Hu, Jiexiang;Cheng, Yuansheng;Hu, Zhen
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Multi-fidelity surrogate modeling has been extensively used in engineering design to achieve a balance between computational efficiency and prediction accuracy. Sequential sampling strategies have been investigated to ...
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    Cloud Radiative Effects on MJO Development in DYNAMO 

    Source: Journal of Climate:;2022:;volume( 035 ):;issue: 021:;page 3369
    Author(s): Qi Hu; Zihang Han; Shuguang Wang
    Publisher: American Meteorological Society
    Abstract: Observed Madden–Julian oscillation (MJO) events are examined with the aid of regional model simulations to understand the role of cloud radiative effects in the MJO development. The importance of this role is demonstrated ...
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    Mechanical Properties of Steel-FRP Composite Bar under Uniaxial and Cyclic Tensile Loads 

    Source: Journal of Materials in Civil Engineering:;2010:;Volume ( 022 ):;issue: 010
    Author(s): Gang Wu; Zhi-Shen Wu; Yun-Biao Luo; Ze-Yang Sun; Xian-Qi Hu
    Publisher: American Society of Civil Engineers
    Abstract: This paper introduces a newly developed steel-fiber-reinforced polymer (FRP) composite bar (SFCB) and proposes the ideal configuration based on a large number of exploratory tests on handmade products. Based on factory ...
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    A Hybrid Experimental Model of a Solid Oxide Fuel Cell Stack 

    Source: Journal of Fuel Cell Science and Technology:;2009:;volume( 006 ):;issue: 001:;page 11013
    Author(s): Xiao-Juan Wu; Wan-Qi Hu; Xin-Jian Zhu; Guang-Yi Cao; Heng-Yong Tu
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A multivariable hybrid experimental model of a solid oxide fuel cell stack is developed in this paper. The model consists of an improved radial basis function (RBF) neural network model and ...
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