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    A Nonlinear Artificial Intelligence Ensemble Prediction Model for Typhoon Intensity 

    Source: Monthly Weather Review:;2008:;volume( 136 ):;issue: 012:;page 4541
    Author(s): Jin, Long; Yao, Cai; Huang, Xiao-Yan
    Publisher: American Meteorological Society
    Abstract: A new nonlinear artificial intelligence ensemble prediction (NAIEP) model has been developed for predicting typhoon intensity based on multiple neural networks with the same expected output and using an evolutionary genetic ...
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    Study on the Low-Temperature Cracking Characteristics of Warm-Mix Steel Slag and Rubber Powder–Modified Asphalt Mixtures Using Acoustic Emission Technology 

    Source: Journal of Materials in Civil Engineering:;2026:;Volume ( 038 ):;issue: 005:;page 04026065-1
    Author(s): Wang, Lan; Hu, Die; Wang, Wei; Huang, Xiaoyan
    Publisher: American Society of Civil Engineers
    Abstract: AbstractBased on the acoustic emission (AE) dynamic nondestructive testing technology, a semicircular bending test (SCB) was conducted on warm-mix steel slag rubber powder modified asphalt mixture (CR-WSAM) at −10°C and ...
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    Molecular-Scale Study of the Compatibility of Warm-Mix Agents, Rubber, and Asphalt in Warm-Mix Rubber Asphalt 

    Source: Journal of Materials in Civil Engineering:;2025:;Volume ( 037 ):;issue: 008:;page 04025260-1
    Author(s): Huang, Xiaoyan; Ban, Yingying; Du, Le; Wang, Lan
    Publisher: American Society of Civil Engineers
    Abstract: AbstractWarm-mix rubber asphalt was analyzed in this study. Based on material characterization test results, a molecular model of warm-mix rubber asphalt was established using Materials Studio software. According to polymer ...
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