<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Susana I C J Palma</style></author><author><style face="normal" font="default" size="100%">Frazao, Jose</style></author><author><style face="normal" font="default" size="100%">Alves, Rita</style></author><author><style face="normal" font="default" size="100%">Henrique M.A. Costa</style></author><author><style face="normal" font="default" size="100%">Claudia Alves</style></author><author><style face="normal" font="default" size="100%">Gamboa, Hugo</style></author><author><style face="normal" font="default" size="100%">Silveira, Margarida</style></author><author><style face="normal" font="default" size="100%">Roque, Ana C A</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Learning to see VOCs with Liquid Crystal Droplets</style></title><secondary-title><style face="normal" font="default" size="100%">2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2022</style></year><pub-dates><date><style  face="normal" font="default" size="100%">may</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://ieeexplore.ieee.org/document/9789647/</style></url></web-urls><related-urls><url><style face="normal" font="default" size="100%">https://sites.fct.unl.pt/sites/default/files/biomolecular_eng/files/palma_isoen2022.pdf</style></url></related-urls></urls><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pages><style face="normal" font="default" size="100%">1–4</style></pages><isbn><style face="normal" font="default" size="100%">978-1-6654-5860-3</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;In hybrid gels with immobilized liquid crystal&lt;br /&gt;
(LC) droplets, fast and unique optical texture variations are&lt;br /&gt;
generated when distinct volatile organic compounds (VOCs)&lt;br /&gt;
interact with the LC and disturb its molecular order. The&lt;br /&gt;
optical texture variations can be observed under a polarized&lt;br /&gt;
optical microscope or transduced into a signal representing the&lt;br /&gt;
variations of light transmitted through the LC. We show how&lt;br /&gt;
hybrid gels can accurately identify 11 distinct VOCs by using&lt;br /&gt;
deep learning to analyze optical texture variations of individual&lt;br /&gt;
droplets (0.93 average F1-score) and by using machine learning&lt;br /&gt;
to analyze 1D optical signals from multiple droplets in hybrid&lt;br /&gt;
gels (0.88 average F1-score)&lt;/p&gt;
</style></abstract><notes><style face="normal" font="default" size="100%">&lt;p&gt;n/a&lt;/p&gt;
</style></notes></record></records></xml>