Dragonfly Algorithm and Its Applications in Applied Science Survey

<table class="table-group" id="tab7"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Databases</td><td class="align_center">Samples (types of the crying signal)</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left" rowspan="5">First database</td><td class="align_center">507 normal crying samples (N)</td></tr><tr><td class="align_center">340 asphyxia crying samples (A)</td></tr><tr><td class="align_center">879 deaf crying samples (D)</td></tr><tr><td class="align_center">350 hungry crying samples (H)</td></tr><tr><td class="align_center">192 pain crying samples (P)</td></tr><tr><td class="align_left" rowspan="3">Second database</td><td class="align_center">513 jaundice crying samples (J)</td></tr><tr><td class="align_center">531 premature crying samples (Prem)</td></tr><tr><td class="align_center">45 normal crying samples (N)</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Crying samples in the two utilized databases [<a href="/journals/cin/2019/9293617/#B47" target="_blank">47</a>].</div>

Computational Intelligence and Neuroscience

Dragonfly Algorithm and Its Applications in Applied Science Survey

Table 7