Estimation of Polypropylene Concentration of Modified Bitumen Images by Using k-NN and SVM Classifiers-Reference-Cited by-同舟云学术

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Estimation of Polypropylene Concentration of Modified Bitumen Images by Using k-NN and SVM Classifiers

Published:2015-09 Issue:5 Volume:29 Page:04014055
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Tapkın Serkan¹,Şengöz Burak²,Şengül Gökhan³,Topal Ali²,Özçelik Erol³

Affiliation:

1. Associate Professor, Transportation Engineering Dept., Bahçeşehir Univ., Istanbul 34353, Turkey (corresponding author).

2. Associate Professor, Civil Engineering Dept., Dokuz Eylül Univ., Izmir 35160, Turkey.

3. Assistant Professor, Computer Engineering Dept., Atılım Univ., Ankara 06836, Turkey.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000353

Reference63 articles.

1. Instance-based learning algorithms;Aha D. W.;Mach. Learn.,1991

2. Rheological evaluation of ethylene vinyl acetate polymer modified bitumens

3. Mechanistic approach for polypropylene-modified flexible pavements

4. Feature based image classification by using principal component analysis;Bajwa I. S.;ICGST-GVIP J.,2009

5. Single Camera Photogrammetry System for EEG Electrode Identification and Localization

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2. A Brief Review and a New Automatic Method for Interpretation of Polypropylene Modified Bitumen Based on Fuzzy Radon Transform and Watershed Segmentation;Archives of Computational Methods in Engineering;2019-02-27

3. Design Gyration Number Determination of 100 mm-Diameter Asphalt Mixtures;International Journal of Civil Engineering;2019-02-05

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