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Comparison of Traditional and Neural Classifiers for Pavement‐Crack Detection

Author(s): (Asst. Prof., Dept. of Civ. and Envir. Engrg., Univ. of Nevada, Las Vegas, NV 89154‐4015)
(Res. Specialist, Printrak International, Inc., Anaheim, CA 92807)
(Prof., Inst. of Transp. Studies and Dept. of Civ. and Envir. Engrg., University of California, Irvine, CA 92717)
Medium: journal article
Language(s): English
Published in: Journal of Transportation Engineering, , n. 4, v. 120
Page(s): 552-569
DOI: 10.1061/(asce)0733-947x(1994)120:4(552)
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)0733-947x(1994)120:4(552).
  • About this
    data sheet
  • Reference-ID
    10633717
  • Published on:
    29/11/2021
  • Last updated on:
    29/11/2021
 
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