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    Random Forest–Based Covariate Shift in Addressing Nonstationarity of Railway Track Data 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2021:;Volume ( 007 ):;issue: 003:;page 04021028-1
    Author(s): Ibrahim Balogun; Nii Attoh Okine
    Publisher: ASCE
    Abstract: The multimodal transportation network in which freight rail plays an essential role continues to enhance the United States’ contributions in the global market. For years, track geometry defects data have been often gathered ...
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