<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Lionis, A.</style></author><author><style face="normal" font="default" size="100%">Peppas, K.</style></author><author><style face="normal" font="default" size="100%">Nistazakis, H.E.</style></author><author><style face="normal" font="default" size="100%">Tsigopoulos, A.</style></author><author><style face="normal" font="default" size="100%">Cohn, K.</style></author><author><style face="normal" font="default" size="100%">Zagouras, A.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Using machine learning algorithms for accurate received optical power prediction of an fso link over a maritime environment</style></title><secondary-title><style face="normal" font="default" size="100%">Photonics</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2021</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108685134&amp;doi=10.3390%2fphotonics8060212&amp;partnerID=40&amp;md5=b8cdb095c0878e039c3d8768629a9789</style></url></web-urls></urls><number><style face="normal" font="default" size="100%">6</style></number><volume><style face="normal" font="default" size="100%">8</style></volume><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>