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Kernel-Based Machine Learning Models for Predicting Daily Truck Volume at Seaport Terminals

Author(s): (Assistant Professor, Dept. of Civil and Mechanical Engineering Technology, South Carolina State Univ., Orangeburg, SC 29117 (corresponding author).)
(Assistant Professor, Dept. of Civil and Mechanical Engineering Technology, South Carolina State Univ., Orangeburg, SC 29117 (corresponding author).)
Medium: journal article
Language(s): English
Published in: Journal of Transportation Engineering, , n. 12, v. 136
Page(s): 1145-1152
DOI: 10.1061/(asce)te.1943-5436.0000186
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1061/(asce)te.1943-5436.0000186.
  • About this
    data sheet
  • Reference-ID
    10635190
  • Published on:
    29/11/2021
  • Last updated on:
    29/11/2021
 
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