<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="https://m2.mtmt.hu/xsl/gui3.xsl" ?>
<myciteResult>
  <serverUrl>https://m2.mtmt.hu/</serverUrl>
  <labelLang>eng</labelLang>
  <responseDate>2026-04-30 16:50</responseDate>
  <content>
    <publication>
      <otype>JournalArticle</otype>
      <mtid>32705076</mtid>
      <status>VALIDATED</status>
      <published>true</published>
      <unhandledTickets>0</unhandledTickets>
      <deleted>false</deleted>
      <lastRefresh>2025-07-30T17:18:22.910+0000</lastRefresh>
      <lastModified>2022-02-24T19:18:34.422+0000</lastModified>
      <created>2022-02-24T19:18:30.731+0000</created>
      <creator>
        <snippet>true</snippet>
        <mtid>10043442</mtid>
        <familyName>Dineva</familyName>
        <givenName>Adrienn</givenName>
        <link>/api/author/10043442</link>
        <otype>Author</otype>
        <label>Adrienn Dineva (mechatronika)</label>
        <published>true</published>
        <oldId>10043442</oldId>
      </creator>
      <lastDuplumSearch>2022-12-24T21:01:18.899+0000</lastDuplumSearch>
      <validated>2022-12-24T21:01:19.098+0000</validated>
      <validator>
        <snippet>true</snippet>
        <mtid>521</mtid>
        <familyName>Szuper</familyName>
        <givenName>Admin</givenName>
        <link>/api/admin/521</link>
        <otype>Admin</otype>
        <label>Admin Szuper (admin)</label>
        <published>true</published>
      </validator>
      <core>false</core>
      <publicationPending>false</publicationPending>
      <type>
        <snippet>true</snippet>
        <mtid>24</mtid>
        <code>24</code>
        <link>/api/publicationtype/24</link>
        <otype>PublicationType</otype>
        <label>Journal Article</label>
        <listPosition>1</listPosition>
        <published>true</published>
        <oldId>24</oldId>
        <otypeName>JournalArticle</otypeName>
      </type>
      <subType>
        <snippet>true</snippet>
        <mtid>10000059</mtid>
        <nameEng>Article</nameEng>
        <docType>
          <snippet>true</snippet>
          <mtid>24</mtid>
          <code>24</code>
          <link>/api/publicationtype/24</link>
          <otype>PublicationType</otype>
          <label>Journal Article</label>
          <listPosition>1</listPosition>
          <published>true</published>
          <oldId>24</oldId>
          <otypeName>JournalArticle</otypeName>
        </docType>
        <link>/api/subtype/10000059</link>
        <name>Szakcikk</name>
        <otype>SubType</otype>
        <label>Article (Journal Article)</label>
        <listPosition>101</listPosition>
        <published>true</published>
        <oldId>10000059</oldId>
      </subType>
      <category>
        <snippet>true</snippet>
        <mtid>1</mtid>
        <link>/api/category/1</link>
        <otype>Category</otype>
        <label>Scientific</label>
        <published>true</published>
        <oldId>1</oldId>
      </category>
      <firstAuthor>Damirchilo, Farshid</firstAuthor>
      <title>Machine Learning Approach to Predict International Roughness Index Using Long-Term Pavement Performance Data</title>
      <journal>
        <snippet>true</snippet>
        <sciIndexed>true</sciIndexed>
        <link>/api/journal/20068007</link>
        <reviewType>REVIEWED</reviewType>
        <label>Journal of Transportation Engineering Part B-Pavements 2573-5438</label>
        <published>true</published>
        <hungarian>false</hungarian>
        <noIF>false</noIF>
        <mtid>20068007</mtid>
        <scopusIndexed>true</scopusIndexed>
        <eIssn>2573-5438</eIssn>
        <otype>Journal</otype>
        <lang>FOREIGN</lang>
      </journal>
      <volume>147</volume>
      <issue>4</issue>
      <firstPage>04021058</firstPage>
      <firstPageOrInternalIdForSort>04021058</firstPageOrInternalIdForSort>
      <publishedYear>2021</publishedYear>
      <digital/>
      <printed>true</printed>
      <sourceYear>2022</sourceYear>
      <foreignEdition>true</foreignEdition>
      <foreignLanguage>true</foreignLanguage>
      <fullPublication>true</fullPublication>
      <conferencePublication>false</conferencePublication>
      <nationalOrigin/>
      <missingAuthor>false</missingAuthor>
      <oaType>NONE</oaType>
      <oaCheckDate>2025-07-30</oaCheckDate>
      <oaFree>false</oaFree>
      <citationCount>0</citationCount>
      <citationCountUnpublished>0</citationCountUnpublished>
      <citationCountWoOther>0</citationCountWoOther>
      <independentCitCountWoOther>0</independentCitCountWoOther>
      <doiCitationCount>0</doiCitationCount>
      <wosCitationCount>0</wosCitationCount>
      <scopusCitationCount>0</scopusCitationCount>
      <independentCitationCount>0</independentCitationCount>
      <unhandledCitationCount>0</unhandledCitationCount>
      <citingPubCount>0</citingPubCount>
      <independentCitingPubCount>0</independentCitingPubCount>
      <unhandledCitingPubCount>0</unhandledCitingPubCount>
      <citedPubCount>2</citedPubCount>
      <citedCount>2</citedCount>
      <ratingsForSort>Q2</ratingsForSort>
      <hasCitationDuplums>false</hasCitationDuplums>
      <importDuplum>false</importDuplum>
      <importOverwritten>false</importOverwritten>
      <importSkipped>false</importSkipped>
      <userChangeableUntil>2022-05-25T18:18:31.745+0000</userChangeableUntil>
      <directInstitutesForSort></directInstitutesForSort>
      <ownerAuthorCount>2</ownerAuthorCount>
      <ownerInstituteCount>20</ownerInstituteCount>
      <directInstituteCount>0</directInstituteCount>
      <authorCount>4</authorCount>
      <contributorCount>0</contributorCount>
      <hasQualityFactor>true</hasQualityFactor>
      <languages>
        <language>
          <otype>Language</otype>
          <mtid>10002</mtid>
          <link>/api/language/10002</link>
          <label>English</label>
          <name>Angol</name>
          <nameEng>English</nameEng>
          <published>true</published>
          <oldId>2</oldId>
          <snippet>true</snippet>
        </language>
      </languages>
      <authorships>
        <authorship>
          <otype>PersonAuthorship</otype>
          <mtid>100822686</mtid>
          <link>/api/authorship/100822686</link>
          <label>Damirchilo, Farshid</label>
          <listPosition>1</listPosition>
          <share>0.25</share>
          <first>true</first>
          <last>false</last>
          <corresponding>false</corresponding>
          <familyName>Damirchilo</familyName>
          <givenName>Farshid</givenName>
          <authorTyped>true</authorTyped>
          <editorTyped>false</editorTyped>
          <otherTyped>false</otherTyped>
          <type>
            <otype>AuthorshipType</otype>
            <mtid>1</mtid>
            <link>/api/authorshiptype/1</link>
            <label>Author</label>
            <code>0</code>
            <published>true</published>
            <oldId>0</oldId>
            <snippet>true</snippet>
          </type>
          <published>false</published>
          <snippet>true</snippet>
        </authorship>
        <authorship>
          <otype>PersonAuthorship</otype>
          <mtid>100822687</mtid>
          <link>/api/authorship/100822687</link>
          <label>Hosseini, Arash</label>
          <listPosition>2</listPosition>
          <share>0.25</share>
          <first>false</first>
          <last>false</last>
          <corresponding>false</corresponding>
          <familyName>Hosseini</familyName>
          <givenName>Arash</givenName>
          <authorTyped>true</authorTyped>
          <editorTyped>false</editorTyped>
          <otherTyped>false</otherTyped>
          <type>
            <otype>AuthorshipType</otype>
            <mtid>1</mtid>
            <link>/api/authorshiptype/1</link>
            <label>Author</label>
            <code>0</code>
            <published>true</published>
            <oldId>0</oldId>
            <snippet>true</snippet>
          </type>
          <published>false</published>
          <snippet>true</snippet>
        </authorship>
        <authorship>
          <otype>PersonAuthorship</otype>
          <mtid>100822688</mtid>
          <link>/api/authorship/100822688</link>
          <label>Mellat Parast, Mahour</label>
          <listPosition>3</listPosition>
          <share>0.25</share>
          <first>false</first>
          <last>false</last>
          <corresponding>false</corresponding>
          <familyName>Mellat Parast</familyName>
          <givenName>Mahour</givenName>
          <authorTyped>true</authorTyped>
          <editorTyped>false</editorTyped>
          <otherTyped>false</otherTyped>
          <type>
            <otype>AuthorshipType</otype>
            <mtid>1</mtid>
            <link>/api/authorshiptype/1</link>
            <label>Author</label>
            <code>0</code>
            <published>true</published>
            <oldId>0</oldId>
            <snippet>true</snippet>
          </type>
          <published>false</published>
          <snippet>true</snippet>
        </authorship>
        <authorship>
          <otype>PersonAuthorship</otype>
          <mtid>100822689</mtid>
          <link>/api/authorship/100822689</link>
          <label>Fini, Elham H.</label>
          <listPosition>4</listPosition>
          <share>0.25</share>
          <first>false</first>
          <last>true</last>
          <corresponding>false</corresponding>
          <familyName>Fini</familyName>
          <givenName>Elham H.</givenName>
          <authorTyped>true</authorTyped>
          <editorTyped>false</editorTyped>
          <otherTyped>false</otherTyped>
          <type>
            <otype>AuthorshipType</otype>
            <mtid>1</mtid>
            <link>/api/authorshiptype/1</link>
            <label>Author</label>
            <code>0</code>
            <published>true</published>
            <oldId>0</oldId>
            <snippet>true</snippet>
          </type>
          <published>false</published>
          <snippet>true</snippet>
        </authorship>
      </authorships>
      <identifiers>
        <identifier>
          <otype>PublicationIdentifier</otype>
          <mtid>20690321</mtid>
          <link>/api/publicationidentifier/20690321</link>
          <label>DOI: 10.1061/JPEODX.0000312</label>
          <source>
            <otype>PlainSource</otype>
            <mtid>6</mtid>
            <link>/api/publicationsource/6</link>
            <label>DOI</label>
            <type>
              <otype>PublicationSourceType</otype>
              <mtid>10001</mtid>
              <link>/api/publicationsourcetype/10001</link>
              <label>DOI</label>
              <mayHaveOa>true</mayHaveOa>
              <published>true</published>
              <snippet>true</snippet>
            </type>
            <name>DOI</name>
            <nameEng>DOI</nameEng>
            <linkPattern>https://doi.org/@@@</linkPattern>
            <publiclyVisible>true</publiclyVisible>
            <published>true</published>
            <oldId>6</oldId>
            <snippet>true</snippet>
          </source>
          <validState>IDENTICAL</validState>
          <idValue>10.1061/JPEODX.0000312</idValue>
          <realUrl>https://doi.org/10.1061/JPEODX.0000312</realUrl>
          <published>false</published>
          <snippet>true</snippet>
        </identifier>
        <identifier>
          <otype>PublicationIdentifier</otype>
          <mtid>20690323</mtid>
          <link>/api/publicationidentifier/20690323</link>
          <label>WoS: 000708123500009</label>
          <source>
            <otype>PlainSource</otype>
            <mtid>1</mtid>
            <link>/api/publicationsource/1</link>
            <label>WoS</label>
            <type>
              <otype>PublicationSourceType</otype>
              <mtid>10003</mtid>
              <link>/api/publicationsourcetype/10003</link>
              <label>Indexelő adatbázis</label>
              <mayHaveOa>false</mayHaveOa>
              <published>true</published>
              <snippet>true</snippet>
            </type>
            <name>WoS</name>
            <nameEng>WoS</nameEng>
            <linkPattern>https://www.webofscience.com/wos/woscc/full-record/@@@</linkPattern>
            <publiclyVisible>true</publiclyVisible>
            <published>true</published>
            <oldId>1</oldId>
            <snippet>true</snippet>
          </source>
          <validState>IDENTICAL</validState>
          <idValue>000708123500009</idValue>
          <realUrl>https://www.webofscience.com/wos/woscc/full-record/000708123500009</realUrl>
          <published>false</published>
          <snippet>true</snippet>
        </identifier>
        <identifier>
          <otype>PublicationIdentifier</otype>
          <mtid>20690324</mtid>
          <link>/api/publicationidentifier/20690324</link>
          <label>Scopus: 85113873533</label>
          <source>
            <otype>PlainSource</otype>
            <mtid>3</mtid>
            <link>/api/publicationsource/3</link>
            <label>Scopus</label>
            <type>
              <otype>PublicationSourceType</otype>
              <mtid>10003</mtid>
              <link>/api/publicationsourcetype/10003</link>
              <label>Indexelő adatbázis</label>
              <mayHaveOa>false</mayHaveOa>
              <published>true</published>
              <snippet>true</snippet>
            </type>
            <name>Scopus</name>
            <nameEng>Scopus</nameEng>
            <linkPattern>http://www.scopus.com/record/display.url?origin=inward&amp;eid=2-s2.0-@@@</linkPattern>
            <publiclyVisible>true</publiclyVisible>
            <published>true</published>
            <oldId>3</oldId>
            <snippet>true</snippet>
          </source>
          <idValue>85113873533</idValue>
          <realUrl>http://www.scopus.com/record/display.url?origin=inward&amp;eid=2-s2.0-85113873533</realUrl>
          <published>false</published>
          <snippet>true</snippet>
        </identifier>
        <identifier>
          <otype>PublicationIdentifier</otype>
          <mtid>20690322</mtid>
          <link>/api/publicationidentifier/20690322</link>
          <label>Egyéb URL: http://ascelibrary.org/doi/10.1061/JPEODX.0000312</label>
          <source>
            <otype>PlainSource</otype>
            <mtid>40</mtid>
            <link>/api/publicationsource/40</link>
            <label>Other URL</label>
            <type>
              <otype>PublicationSourceType</otype>
              <mtid>10006</mtid>
              <link>/api/publicationsourcetype/10006</link>
              <label>Link</label>
              <mayHaveOa>true</mayHaveOa>
              <published>true</published>
              <snippet>true</snippet>
            </type>
            <name>Egyéb URL</name>
            <nameEng>Other URL</nameEng>
            <linkPattern>@@@</linkPattern>
            <publiclyVisible>true</publiclyVisible>
            <published>true</published>
            <oldId>40</oldId>
            <snippet>true</snippet>
          </source>
          <idValue>http://ascelibrary.org/doi/10.1061/JPEODX.0000312</idValue>
          <realUrl>http://ascelibrary.org/doi/10.1061/JPEODX.0000312</realUrl>
          <published>false</published>
          <snippet>true</snippet>
        </identifier>
      </identifiers>
      <ratings>
        <rating>
          <otype>SjrRating</otype>
          <mtid>11213072</mtid>
          <link>/api/sjrrating/11213072</link>
          <label>sjr:Q2 (2021) Scopus - Civil and Structural Engineering Journal of Transportation Engineering Part B-Pavements 2573-5438</label>
          <listPos>101</listPos>
          <rankValue>0.49</rankValue>
          <type>journal</type>
          <ratingType>
            <otype>RatingType</otype>
            <mtid>10002</mtid>
            <link>/api/ratingtype/10002</link>
            <label>sjr</label>
            <code>sjr</code>
            <published>true</published>
            <snippet>true</snippet>
          </ratingType>
          <subject>
            <otype>ClassificationExternal</otype>
            <mtid>2205</mtid>
            <link>/api/classificationexternal/2205</link>
            <label>Scopus - Civil and Structural Engineering</label>
            <published>true</published>
            <oldId>2205</oldId>
            <snippet>true</snippet>
          </subject>
          <ranking>Q2</ranking>
          <calculation>DIRECT</calculation>
          <published>true</published>
          <snippet>true</snippet>
        </rating>
      </ratings>
      <references>
        <reference>
          <otype>Reference</otype>
          <mtid>28590024</mtid>
          <link>/api/reference/28590024</link>
          <label>1. , DOI: 10.1080/10298436.2018.1441414</label>
          <listPosition>1</listPosition>
          <doi>10.1080/10298436.2018.1441414</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590025</mtid>
          <link>/api/reference/28590025</link>
          <label>2. Albuquerque, F. S., and W. P. Núñez. 2011. “Development of roughness prediction models for low-volume road networks in northeast Brazil.” Transp. Res. Rec. 2205 (1): 198–205. https://doi.org/10.3141/2205-25., DOI: 10.3141/2205-25</label>
          <listPosition>2</listPosition>
          <doi>10.3141/2205-25</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590026</mtid>
          <link>/api/reference/28590026</link>
          <label>3. Al-Omari, B., and M. I. Darter. 1995. “Effect of pavement deterioration types on IRI and rehabilitation.” Transp. Res. Rec. 1505 (1): 57–65.</label>
          <listPosition>3</listPosition>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590027</mtid>
          <link>/api/reference/28590027</link>
          <label>4. American Concrete Pavement Association. 2002. The international roughness index (IRI): What is it? How is it measured? What do you need to know about it? Skokie, IL: American Concrete Pavement Association.</label>
          <listPosition>4</listPosition>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590028</mtid>
          <link>/api/reference/28590028</link>
          <label>5. , DOI: 10.1016/S0965-9978(98)00071-4</label>
          <listPosition>5</listPosition>
          <doi>10.1016/S0965-9978(98)00071-4</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590029</mtid>
          <link>/api/reference/28590029</link>
          <label>6. Awad, M., and R. Khanna. 2015. “Support vector regression.” In Efficient learning machines, 67–80. Berkeley, CA: Apress., DOI: 10.1007/978-1-4302-5990-9_4</label>
          <listPosition>6</listPosition>
          <doi>10.1007/978-1-4302-5990-9_4</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590030</mtid>
          <link>/api/reference/28590030</link>
          <label>7. Boser B. E. I. M. Guyon and V. N. Vapnik. 1992. “A training algorithm for optimal margin classifiers.” In Proc. 5th Annual Workshop on Computational Learning Theory 144–152. New York: Association for Computing Machinery., DOI: 10.1145/130385.130401</label>
          <listPosition>7</listPosition>
          <doi>10.1145/130385.130401</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590031</mtid>
          <link>/api/reference/28590031</link>
          <label>8. , DOI: 10.1214/ss/1009213726</label>
          <listPosition>8</listPosition>
          <doi>10.1214/ss/1009213726</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590032</mtid>
          <link>/api/reference/28590032</link>
          <label>9. , DOI: 10.1023/A:1010933404324</label>
          <listPosition>9</listPosition>
          <doi>10.1023/A:1010933404324</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590033</mtid>
          <link>/api/reference/28590033</link>
          <label>10. Ceylan, H., M. B. Bayrak, and K. Gopalakrishnan. 2014. “Neural networks applications in pavement engineering: A recent survey.” Int. J. Pavement Res. Technol. 7 (6): 434–444.</label>
          <listPosition>10</listPosition>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590034</mtid>
          <link>/api/reference/28590034</link>
          <label>11. , DOI: 10.1061/(ASCE)TE.1943-5436.0000512</label>
          <listPosition>11</listPosition>
          <doi>10.1061/(ASCE)TE.1943-5436.0000512</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590035</mtid>
          <link>/api/reference/28590035</link>
          <label>12. Chen T. and C. Guestrin. 2016. “XGBoost: A scalable tree boosting system.” In Proc. 22nd ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining 785–794. New York: Association for Computing Machinery. https://doi.org/10.1145/2939672.2939785., DOI: 10.1145/2939672.2939785</label>
          <listPosition>12</listPosition>
          <doi>10.1145/2939672.2939785</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590036</mtid>
          <link>/api/reference/28590036</link>
          <label>13. , DOI: 10.1111/j.1467-8667.2004.00356.x</label>
          <listPosition>13</listPosition>
          <doi>10.1111/j.1467-8667.2004.00356.x</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590037</mtid>
          <link>/api/reference/28590037</link>
          <label>14. , DOI: 10.3390/electronics9010003</label>
          <listPosition>14</listPosition>
          <doi>10.3390/electronics9010003</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590038</mtid>
          <link>/api/reference/28590038</link>
          <label>15. De Luca, M. 2020. “Evaluation of runway bearing capacity using International Roughness Index.” Transp. Res. Procedia 2020 (45): 119–126.</label>
          <listPosition>15</listPosition>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590039</mtid>
          <link>/api/reference/28590039</link>
          <label>16. Elhadidy, A. A., S. M. El-Badawy, and E. E. Elbeltagi. 2019. “A simplified pavement condition index regression model for pavement evaluation.” Int. J. Pavement Eng. 22 (5): 643–652. https://doi.org/10.1080/10298436.2019.1633579., DOI: 10.1080/10298436.2019.1633579</label>
          <listPosition>16</listPosition>
          <doi>10.1080/10298436.2019.1633579</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590040</mtid>
          <link>/api/reference/28590040</link>
          <label>17. Friedman, J., T. Hastie, and R. Tibshirani. 2001. The elements of statistical learning. New York: Springer.</label>
          <listPosition>17</listPosition>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590041</mtid>
          <link>/api/reference/28590041</link>
          <label>18. , DOI: 10.1214/aos/1013203451</label>
          <listPosition>18</listPosition>
          <doi>10.1214/aos/1013203451</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590042</mtid>
          <link>/api/reference/28590042</link>
          <label>19. Georgiou, P., C. Plati, and A. Loizos. 2018. “Soft computing models to predict pavement roughness: A comparative study.” Adv. Civ. Eng. 2018 (Jan): 1–8. https://doi.org/10.1155/2018/5939806.</label>
          <listPosition>19</listPosition>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590043</mtid>
          <link>/api/reference/28590043</link>
          <label>20. Gong, H., Y. Sun, W. Hu, P. A. Polaczyk, and B. Huang. 2019. “Investigating impacts of asphalt mixture properties on pavement performance using LTPP data through random forests.” Constr. Build. Mater. 204 (12): 203–212. https://doi.org/10.1016/j.conbuildmat.2019.01.198., DOI: 10.1016/j.conbuildmat.2019.01.198</label>
          <listPosition>20</listPosition>
          <doi>10.1016/j.conbuildmat.2019.01.198</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590044</mtid>
          <link>/api/reference/28590044</link>
          <label>21. Gong, H., Y. Sun, X. Shu, and B. Huang. 2018. “Use of random forests regression for predicting IRI of asphalt pavements.” Constr. Build. Mater. 189 (1): 890–897. https://doi.org/10.1016/j.conbuildmat.2018.09.017., DOI: 10.1016/j.conbuildmat.2018.09.017</label>
          <listPosition>21</listPosition>
          <doi>10.1016/j.conbuildmat.2018.09.017</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590045</mtid>
          <link>/api/reference/28590045</link>
          <label>22. , DOI: 10.1198/tast.2009.08199</label>
          <listPosition>22</listPosition>
          <doi>10.1198/tast.2009.08199</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590046</mtid>
          <link>/api/reference/28590046</link>
          <label>23. Haas, R., W. R. Hudson, and J. Zaniewski. 1994. Modern pavement management. Malabar, FL: Krieger.</label>
          <listPosition>23</listPosition>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590047</mtid>
          <link>/api/reference/28590047</link>
          <label>24. , DOI: 10.1007/978-0-387-84858-7</label>
          <listPosition>24</listPosition>
          <doi>10.1007/978-0-387-84858-7</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590048</mtid>
          <link>/api/reference/28590048</link>
          <label>25. , DOI: 10.1061/(ASCE)0887-3828(2005)19:1(62)</label>
          <listPosition>25</listPosition>
          <doi>10.1061/(ASCE)0887-3828(2005)19:1(62)</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590049</mtid>
          <link>/api/reference/28590049</link>
          <label>26. Kaloop, M. R., S. M. El-Badawy, J. Ahn, H. B. Sim, J. W. Hu, and R. T. Abd El-Hakim. 2020. “A hybrid wavelet-optimally-pruned extreme learning machine model for the estimation of International Roughness Index of rigid pavements.” Int. J. Pavement Eng. 2020 (Jun): 1–15. https://doi.org/10.1080/10298436.2020.1776281., DOI: 10.1080/10298436.2020.1776281</label>
          <listPosition>26</listPosition>
          <doi>10.1080/10298436.2020.1776281</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590050</mtid>
          <link>/api/reference/28590050</link>
          <label>27. , DOI: 10.3390/coatings10111100</label>
          <listPosition>27</listPosition>
          <doi>10.3390/coatings10111100</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590051</mtid>
          <link>/api/reference/28590051</link>
          <label>28. , DOI: 10.1007/s11709-020-0654-z</label>
          <listPosition>28</listPosition>
          <doi>10.1007/s11709-020-0654-z</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590052</mtid>
          <link>/api/reference/28590052</link>
          <label>29. , DOI: 10.1061/9780784413616.152</label>
          <listPosition>29</listPosition>
          <doi>10.1061/9780784413616.152</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590053</mtid>
          <link>/api/reference/28590053</link>
          <label>30. , DOI: 10.1061/(ASCE)TE.1943-5436.0000779</label>
          <listPosition>30</listPosition>
          <doi>10.1061/(ASCE)TE.1943-5436.0000779</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590054</mtid>
          <link>/api/reference/28590054</link>
          <label>31. , DOI: 10.3141/2155-14</label>
          <listPosition>31</listPosition>
          <doi>10.3141/2155-14</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590055</mtid>
          <link>/api/reference/28590055</link>
          <label>32. Kitchenham, B. 2004. Procedures for performing systematic reviews. Keele University Technical Rep. TR/SE-040, 1–26. Keele, UK: Keele Univ.</label>
          <listPosition>32</listPosition>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590056</mtid>
          <link>/api/reference/28590056</link>
          <label>33. Li, W., J. Huyan, L. Xiao, S. Tighe, and L. Pei. 2019. “International roughness index prediction based on multigranularity fuzzy time series and particle swarm optimization.” Expert Syst. Appl. 10 (2): 100006. https://doi.org/10.1016/j.eswax.2019.100006.</label>
          <listPosition>33</listPosition>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590057</mtid>
          <link>/api/reference/28590057</link>
          <label>34. Lin J. D. J. T. Yau and L. H. Hsiao. 2003. “Correlation analysis between international roughness index (IRI) and pavement distress by neural network.” In Proc. 82nd Annual Meeting of the Transportation Research Board 12–16. Washington DC: Transportation Research Board.</label>
          <listPosition>34</listPosition>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590058</mtid>
          <link>/api/reference/28590058</link>
          <label>35. Liu, Q., L. Sun, A. Kornhauser, J. Sun, and N. Sangwa. 2019. “Road roughness acquisition and classification using improved restricted Boltzmann machine deep learning algorithm.” Sensor Rev. 39 (6): 733–742. https://doi.org/10.1108/SR-05-2018-0132.</label>
          <listPosition>35</listPosition>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590059</mtid>
          <link>/api/reference/28590059</link>
          <label>36. LTPP InfoPave. 2020. “LTPP data.” Accessed March 25 2020. https://infopave.fhwa.dot.gov/.</label>
          <listPosition>36</listPosition>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590060</mtid>
          <link>/api/reference/28590060</link>
          <label>37. Mactutis, J. A., S. H. Alavi, and W. C. Ott. 2000. “Investigation of relationship between roughness and pavement surface distress based on WesTrack project.” Transp. Res. Rec. 1699 (1): 107–113. https://doi.org/10.3141/1699-15., DOI: 10.3141/1699-15</label>
          <listPosition>37</listPosition>
          <doi>10.3141/1699-15</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590061</mtid>
          <link>/api/reference/28590061</link>
          <label>38. Marcelino, P., M. D. Lurdes Antunes, E. Fortunato, and M. Castilho Gomes. 2019. “Machine learning approach for pavement performance prediction.” Int. J. Pavement Eng. 22 (3): 341–354. https://doi.org/10.1080/10298436.2019.1609673., DOI: 10.1080/10298436.2019.1609673</label>
          <listPosition>38</listPosition>
          <doi>10.1080/10298436.2019.1609673</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590062</mtid>
          <link>/api/reference/28590062</link>
          <label>39. Mazari, M., and D. D. Rodriguez. 2016. “Prediction of pavement roughness using a hybrid gene expression programming-neural network technique.” J. Traffic Transp. Eng. 3 (5): 448–455. https://doi.org/10.1016/j.jtte.2016.09.007.</label>
          <listPosition>39</listPosition>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590063</mtid>
          <link>/api/reference/28590063</link>
          <label>40. MEPD (Mechanistic-Empirical Pavement Design Guide). 2008. Interim edition: A manual of practice. Washington, DC: AASHTO.</label>
          <listPosition>40</listPosition>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590064</mtid>
          <link>/api/reference/28590064</link>
          <label>41. Mubaraki M. 2009. “Predicting pavement condition deterioration for the Saudi inter-urban road network.” In Proc. Material Design Construction Maintenance and Testing of Pavements: Selected Papers from the 2009 GeoHunan 56–61. Reston VA: ASCE. https://doi.org/10.1061/41045(352)9., DOI: 10.1061/41045(352)9</label>
          <listPosition>41</listPosition>
          <doi>10.1061/41045(352)9</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590065</mtid>
          <link>/api/reference/28590065</link>
          <label>42. , DOI: 10.1016/j.ijprt.2016.10.001</label>
          <listPosition>42</listPosition>
          <doi>10.1016/j.ijprt.2016.10.001</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590066</mtid>
          <link>/api/reference/28590066</link>
          <label>43. Murphy, K. P. 2012. Machine learning: A probabilistic perspective. Cambridge, MA: MIT Press.</label>
          <listPosition>43</listPosition>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590067</mtid>
          <link>/api/reference/28590067</link>
          <label>44. , DOI: 10.3390/math7121198</label>
          <listPosition>44</listPosition>
          <doi>10.3390/math7121198</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590068</mtid>
          <link>/api/reference/28590068</link>
          <label>45. Neter, J., M. H. Kutner, C. J. Nachtsheim, and W. Wasserman. 1996. Applied linear statistical models. New York: McGraw-Hill.</label>
          <listPosition>45</listPosition>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590069</mtid>
          <link>/api/reference/28590069</link>
          <label>46. , DOI: 10.3390/app9214715</label>
          <listPosition>46</listPosition>
          <doi>10.3390/app9214715</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590070</mtid>
          <link>/api/reference/28590070</link>
          <label>47. Ozbay, K., and R. Laub. 2001. Models for pavement deterioration using LTPP. FHWA-NJ-1999-030. Washington, DC: Federal Highway Administration.</label>
          <listPosition>47</listPosition>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590071</mtid>
          <link>/api/reference/28590071</link>
          <label>48. , DOI: 10.1061/(ASCE)0733-947X(2007)133:12(706)</label>
          <listPosition>48</listPosition>
          <doi>10.1061/(ASCE)0733-947X(2007)133:12(706)</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590072</mtid>
          <link>/api/reference/28590072</link>
          <label>49. Sollazzo, G., T. F. Fwa, and G. Bosurgi. 2017. “An ANN model to correlate roughness and structural performance in asphalt pavements.” Constr. Build. Mater. 134 (Jan): 684–693. https://doi.org/10.1016/j.conbuildmat.2016.12.186., DOI: 10.1016/j.conbuildmat.2016.12.186</label>
          <listPosition>49</listPosition>
          <doi>10.1016/j.conbuildmat.2016.12.186</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590073</mtid>
          <link>/api/reference/28590073</link>
          <label>50. Srivastava, N., G. Hinton, A. Krizhevsky, I. Sutskever, and R. Salakhutdinov. 2014. “Dropout: A simple way to prevent neural networks from overfitting.” J. Mach. Learn. Res. 15 (1): 1929–1958. https://doi.org/10.5555/2627435.2670313.</label>
          <listPosition>50</listPosition>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590074</mtid>
          <link>/api/reference/28590074</link>
          <label>51. , DOI: 10.1177/875647939000600106</label>
          <listPosition>51</listPosition>
          <doi>10.1177/875647939000600106</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590075</mtid>
          <link>/api/reference/28590075</link>
          <label>52. , DOI: 10.1016/j.advengsoft.2012.11.013</label>
          <listPosition>52</listPosition>
          <doi>10.1016/j.advengsoft.2012.11.013</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590076</mtid>
          <link>/api/reference/28590076</link>
          <label>53. Touzani, S., J. Granderson, and S. Fernandes. 2018. “Gradient boosting machine for modeling the energy consumption of commercial buildings.” Energy Build. 158 (Jan): 1533–1543. https://doi.org/10.1016/j.enbuild.2017.11.039., DOI: 10.1016/j.enbuild.2017.11.039</label>
          <listPosition>53</listPosition>
          <doi>10.1016/j.enbuild.2017.11.039</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590077</mtid>
          <link>/api/reference/28590077</link>
          <label>54. Wang, X., J. Zhao, Q. Li, N. Fang, P. Wang, L. Ding, and S. Li. 2020. “A hybrid model for prediction in asphalt pavement performance based on support vector machine and grey relation analysis.” J. Adv. Transp. 2020 (Feb): 1–14. https://doi.org/10.1155/2020/7534970.</label>
          <listPosition>54</listPosition>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590078</mtid>
          <link>/api/reference/28590078</link>
          <label>55. Zeiada, W., S. A. Dabous, K. Hamad, R. Al-Ruzouq, and M. A. Khalil. 2020. “Machine learning for pavement performance modelling in warm climate regions.” Arab. J. Sci. Eng. 45 (1): 4091–4109. https://doi.org/10.1007/s13369-020-04398-6., DOI: 10.1007/s13369-020-04398-6</label>
          <listPosition>55</listPosition>
          <doi>10.1007/s13369-020-04398-6</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590079</mtid>
          <link>/api/reference/28590079</link>
          <label>56. Zeiada, W., K. Hamad, M. Omar, B. S. Underwood, M. A. Khalil, and A. S. Karzad. 2017. “Investigation and modelling of asphalt pavement performance in cold regions.” Int. J. Pavement Eng. 20 (8): 986–997. https://doi.org/10.1080/10298436.2017.1373391., DOI: 10.1080/10298436.2017.1373391</label>
          <listPosition>56</listPosition>
          <doi>10.1080/10298436.2017.1373391</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590080</mtid>
          <link>/api/reference/28590080</link>
          <label>57. Zhang, M., H. Gong, X. Jia, R. Xiao, X. Jiang, Y. Ma, and B. Huang. 2020. “Analysis of critical factors to asphalt overlay performance using gradient boosted models.” Constr. Build. Mater. 262 (Nov): 120083. https://doi.org/10.1016/j.conbuildmat.2020.120083., DOI: 10.1016/j.conbuildmat.2020.120083</label>
          <listPosition>57</listPosition>
          <doi>10.1016/j.conbuildmat.2020.120083</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590081</mtid>
          <link>/api/reference/28590081</link>
          <label>58. Ziari, H., M. Maghrebi, J. Ayoubinejad, and S. T. Waller. 2016a. “Prediction of pavement performance: Application of support vector regression with different kernels.” Transp. Res. Rec. 2589 (1): 135–145. https://doi.org/10.3141/2589-15., DOI: 10.3141/2589-15</label>
          <listPosition>58</listPosition>
          <doi>10.3141/2589-15</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590082</mtid>
          <link>/api/reference/28590082</link>
          <label>59. Ziari, H., J. Sobhani, J. Ayoubinejad, and T. Hartmann. 2015. “Analysing the accuracy of pavement performance models in the short and long terms: GMDH and ANFIS methods.” Road Mater. Pavement Des. 17 (3): 619–637. https://doi.org/10.1080/14680629.2015.1108218., DOI: 10.1080/14680629.2015.1108218</label>
          <listPosition>59</listPosition>
          <doi>10.1080/14680629.2015.1108218</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
        <reference>
          <otype>Reference</otype>
          <mtid>28590083</mtid>
          <link>/api/reference/28590083</link>
          <label>60. , DOI: 10.1080/10298436.2015.1019498</label>
          <listPosition>60</listPosition>
          <doi>10.1080/10298436.2015.1019498</doi>
          <published>false</published>
          <snippet>true</snippet>
        </reference>
      </references>
      <link>/api/publication/32705076</link>
      <label>Damirchilo Farshid et al. Machine Learning Approach to Predict International Roughness Index Using Long-Term Pavement Performance Data. (2021) Journal of Transportation Engineering Part B-Pavements 2573-5438 147 4 p. 04021058</label><template>&lt;div class=&quot;JournalArticle Publication short-list&quot;&gt; &lt;div class=&quot;authors&quot;&gt; &lt;span class=&quot;author-name&quot; &gt; Damirchilo, Farshid &lt;/span&gt; &lt;span class=&quot;author-type&quot;&gt; &lt;/span&gt; ; &lt;span class=&quot;author-name&quot; &gt; Hosseini, Arash &lt;/span&gt; &lt;span class=&quot;author-type&quot;&gt; &lt;/span&gt; ; &lt;span class=&quot;author-name&quot; &gt; Mellat Parast, Mahour &lt;/span&gt; &lt;span class=&quot;author-type&quot;&gt; &lt;/span&gt; ; &lt;span class=&quot;author-name&quot; &gt; Fini, Elham H. &lt;/span&gt; &lt;span class=&quot;author-type&quot;&gt; &lt;/span&gt; &lt;/div &gt;&lt;div class=&quot;title&quot;&gt;&lt;a href=&quot;/gui2/?mode=browse&amp;params=publication;32705076&quot; mtid=&quot;32705076&quot; target=&quot;_blank&quot;&gt;Machine Learning Approach to Predict International Roughness Index Using Long-Term Pavement Performance Data&lt;/a&gt;&lt;/div&gt; &lt;div class=&quot;pub-info&quot;&gt; &lt;span class=&quot;journal-title&quot;&gt;Journal of Transportation Engineering Part B-Pavements&lt;/span&gt; &lt;span class=&quot;journal-volume&quot;&gt;147&lt;/span&gt; : &lt;span class=&quot;journal-issue&quot;&gt;4&lt;/span&gt; &lt;span class=&quot;page&quot;&gt; p. 04021058 &lt;/span&gt; &lt;span class=&quot;year&quot;&gt;(2021)&lt;/span&gt; &lt;/div&gt; &lt;div class=&quot;pub-end&quot;&gt;&lt;div class=&quot;identifier-list&quot;&gt; &lt;span class=&quot;identifiers&quot;&gt; &lt;span class=&quot;id identifier oa_none&quot; title=&quot;none&quot;&gt; &lt;a style=&quot;color:blue&quot; title=&quot;10.1061/JPEODX.0000312&quot; target=&quot;_blank&quot; href=&quot;https://doi.org/10.1061/JPEODX.0000312&quot;&gt; DOI &lt;/a&gt; &lt;/span&gt; &lt;span class=&quot;id identifier oa_none&quot; title=&quot;none&quot;&gt; &lt;a style=&quot;color:blue&quot; title=&quot;000708123500009&quot; target=&quot;_blank&quot; href=&quot;https://www.webofscience.com/wos/woscc/full-record/000708123500009&quot;&gt; WoS &lt;/a&gt; &lt;/span&gt; &lt;span class=&quot;id identifier oa_none&quot; title=&quot;none&quot;&gt; &lt;a style=&quot;color:black&quot; title=&quot;85113873533&quot; target=&quot;_blank&quot; href=&quot;http://www.scopus.com/record/display.url?origin=inward&amp;eid=2-s2.0-85113873533&quot;&gt; Scopus &lt;/a&gt; &lt;/span&gt; &lt;span class=&quot;id identifier oa_none&quot; title=&quot;none&quot;&gt; &lt;a style=&quot;color:black&quot; title=&quot;http://ascelibrary.org/doi/10.1061/JPEODX.0000312&quot; target=&quot;_blank&quot; href=&quot;http://ascelibrary.org/doi/10.1061/JPEODX.0000312&quot;&gt; Other URL &lt;/a&gt; &lt;/span&gt; &lt;/span&gt; &lt;/div&gt; &lt;div class=&quot;short-pub-prop-list&quot;&gt; &lt;span class=&quot;short-pub-mtid&quot;&gt; Publication:32705076 &lt;/span&gt; &lt;span class=&quot;status-holder&quot;&gt;&lt;span class=&quot;status-data status-VALIDATED&quot;&gt; Validated &lt;/span&gt;&lt;/span&gt; &lt;span class=&quot;pub-core&quot;&gt; Citing &lt;/span&gt; &lt;span class=&quot;pub-type&quot;&gt;Journal Article (Article ) &lt;/span&gt; &lt;!-- &amp;&amp; !record.category.scientific --&gt; &lt;span class=&quot;pub-category&quot;&gt;Scientific&lt;/span&gt; &lt;/div&gt; &lt;/div&gt; &lt;/div&gt;</template><template2>&lt;div class=&quot;JournalArticle Publication long-list&quot;&gt; &lt;div class=&quot;authors&quot;&gt; &lt;img title=&quot;Idézőközlemény&quot; style=&quot;float: left&quot; src=&quot;/frontend/resources/grid/publication-citation-icon.png&quot;&gt; &lt;div class=&quot;autype autype0&quot;&gt; &lt;span class=&quot;author-name&quot; &gt;Damirchilo Farshid &lt;/span&gt; ;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;span class=&quot;author-name&quot; &gt;Hosseini Arash &lt;/span&gt; ;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;span class=&quot;author-name&quot; &gt;Mellat Parast Mahour &lt;/span&gt; ;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;span class=&quot;author-name&quot; &gt;Fini Elham H. &lt;/span&gt; &lt;/div&gt; &lt;/div&gt; &lt;div class=&quot;title&quot;&gt;&lt;a href=&quot;/gui2/?mode=browse&amp;params=publication;32705076&quot; target=&quot;_blank&quot;&gt;Machine Learning Approach to Predict International Roughness Index Using Long-Term Pavement Performance Data&lt;/a&gt;&lt;/div&gt; &lt;div&gt; &lt;span class=&quot;journal-title&quot;&gt;Journal of Transportation Engineering Part B-Pavements&lt;/span&gt; &lt;span class=&quot;journal-issn&quot;&gt;( &lt;a target=&quot;_blank&quot; href=&quot;https://portal.issn.org/resource/ISSN/2573-5438&quot;&gt;2573-5438&lt;/a&gt;)&lt;/span&gt;: &lt;span class=&quot;journal-volume&quot;&gt;147&lt;/span&gt; &lt;span class=&quot;journal-issue&quot;&gt;4&lt;/span&gt; &lt;span class=&quot;page&quot;&gt; p. 04021058. &lt;/span&gt; &lt;span class=&quot;year&quot;&gt;(2021)&lt;/span&gt; &lt;/div&gt; &lt;div class=&quot;pub-footer&quot;&gt;  &lt;span class=&quot;language&quot; xmlns=&quot;http://www.w3.org/1999/html&quot;&gt;Language: English | &lt;/span&gt; &lt;span class=&quot;identifiers&quot;&gt; &lt;span class=&quot;id identifier oa_none&quot; title=&quot;none&quot;&gt; &lt;a style=&quot;color:blue&quot; title=&quot;10.1061/JPEODX.0000312&quot; target=&quot;_blank&quot; href=&quot;https://doi.org/10.1061/JPEODX.0000312&quot;&gt; DOI &lt;/a&gt; &lt;/span&gt; &lt;span class=&quot;id identifier oa_none&quot; title=&quot;none&quot;&gt; &lt;a style=&quot;color:blue&quot; title=&quot;000708123500009&quot; target=&quot;_blank&quot; href=&quot;https://www.webofscience.com/wos/woscc/full-record/000708123500009&quot;&gt; WoS &lt;/a&gt; &lt;/span&gt; &lt;span class=&quot;id identifier oa_none&quot; title=&quot;none&quot;&gt; &lt;a style=&quot;color:black&quot; title=&quot;85113873533&quot; target=&quot;_blank&quot; href=&quot;http://www.scopus.com/record/display.url?origin=inward&amp;eid=2-s2.0-85113873533&quot;&gt; Scopus &lt;/a&gt; &lt;/span&gt; &lt;span class=&quot;id identifier oa_none&quot; title=&quot;none&quot;&gt; &lt;a style=&quot;color:black&quot; title=&quot;http://ascelibrary.org/doi/10.1061/JPEODX.0000312&quot; target=&quot;_blank&quot; href=&quot;http://ascelibrary.org/doi/10.1061/JPEODX.0000312&quot;&gt; Other URL &lt;/a&gt; &lt;/span&gt; &lt;/span&gt; &lt;div class=&quot;publication-citation&quot;&gt; &lt;a target=&quot;_blank&quot; href=&quot;/api/publication?cond=citations.related;eq;32705076&amp;sort=publishedYear,desc&amp;sort=title&quot;&gt; Number of cited publications: 2 &lt;/a&gt; &lt;/div&gt; &lt;div class=&quot;mtid&quot;&gt;&lt;span class=&quot;long-pub-mtid&quot;&gt;Publication: 32705076&lt;/span&gt; | &lt;span class=&quot;status-data status-VALIDATED&quot;&gt; Validated &lt;/span&gt; Citing | &lt;span class=&quot;type-subtype&quot;&gt;Journal Article ( Article ) &lt;/span&gt; | &lt;span class=&quot;pub-category&quot;&gt;Scientific&lt;/span&gt; | &lt;span class=&quot;publication-sourceOfData&quot;&gt;kézi felvitel&lt;/span&gt; &lt;/div&gt; &lt;div class=&quot;lastModified&quot;&gt;Last Modified: 2022.02.24. 20:18 Adrienn Dineva (mechatronika) &lt;/div&gt; &lt;/div&gt;&lt;/div&gt;</template2>
    </publication>
  </content>
</myciteResult>
