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    Application of Probabilistic Neural Networks for Prediction of Concrete Strength 

    Source: Journal of Materials in Civil Engineering:;2005:;Volume ( 017 ):;issue: 003
    Author(s): Doo Kie Kim; Jong Jae Lee; Jong Han Lee; Seong Kyu Chang
    Publisher: American Society of Civil Engineers
    Abstract: The compressive strength of concrete is a commonly used criterion in producing concrete. However, the tests on the compressive strength are complicated and time consuming. More importantly, it is too late to make improvements ...
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    Piezoelectric Sensor-Based Health Monitoring of Railroad Tracks Using a Two-Step Support Vector Machine Classifier 

    Source: Journal of Infrastructure Systems:;2008:;Volume ( 014 ):;issue: 001
    Author(s): Seunghee Park; Daniel J. Inman; Jong-Jae Lee; Chung-Bang Yun
    Publisher: American Society of Civil Engineers
    Abstract: A piezoelectric sensor-based health monitoring technique using a two-step support vector machine (SVM) classifier is developed for railroad track damage identification. A
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