<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1405-5546</journal-id>
<journal-title><![CDATA[Computación y Sistemas]]></journal-title>
<abbrev-journal-title><![CDATA[Comp. y Sist.]]></abbrev-journal-title>
<issn>1405-5546</issn>
<publisher>
<publisher-name><![CDATA[Instituto Politécnico Nacional, Centro de Investigación en Computación]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1405-55462022000100373</article-id>
<article-id pub-id-type="doi">10.13053/cys-26-1-3871</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Distraction Detection to Predict Vehicle Crashes: a Deep Learning Approach]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Bekka]]></surname>
<given-names><![CDATA[Reda]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Kherbouche]]></surname>
<given-names><![CDATA[Samia]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Bouhissi]]></surname>
<given-names><![CDATA[Houda El]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,University of Bejaia Faculty of Exact Sciences ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Algeria</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,University of Bejaia Faculty of Exact Sciences LIMED Laboratory]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Algeria</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>03</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>03</month>
<year>2022</year>
</pub-date>
<volume>26</volume>
<numero>1</numero>
<fpage>373</fpage>
<lpage>387</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-55462022000100373&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-55462022000100373&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-55462022000100373&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: The Road safety is a major issue, both in terms of the number of road casualties and the economic cost of these accidents at the global, regional and national levels. Combating road insecurity is a priority concern for every country, as travel continues to increase and, despite the measures taken in many countries to improve road safety, much remains to be done in order to reduce the number of deaths and fatalities. In this paper, we review the most applied approaches in the detection of driver distractions. Furthermore, we propose a novel approach for preventing road crashes in the context of intelligent transport. Preliminary results indicate that the proposed methodology is efficient and provides high accuracy.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[CNN]]></kwd>
<kwd lng="en"><![CDATA[distraction]]></kwd>
<kwd lng="en"><![CDATA[detection]]></kwd>
<kwd lng="en"><![CDATA[deep learning]]></kwd>
<kwd lng="en"><![CDATA[drowsiness]]></kwd>
<kwd lng="en"><![CDATA[intelligent transport]]></kwd>
<kwd lng="en"><![CDATA[OpenCV]]></kwd>
<kwd lng="en"><![CDATA[transfer learning]]></kwd>
<kwd lng="en"><![CDATA[VGG16]]></kwd>
</kwd-group>
</article-meta>
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