<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Maritime Safety | Intelligent Optimization Lab</title><link>https://iolab.uniud.it/tag/maritime-safety/</link><atom:link href="https://iolab.uniud.it/tag/maritime-safety/index.xml" rel="self" type="application/rss+xml"/><description>Maritime Safety</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-US</language><lastBuildDate>Tue, 06 Dec 2022 00:00:00 +0000</lastBuildDate><image><url>https://iolab.uniud.it/media/logo_hu_1bf0f7e2664ed9eb.png</url><title>Maritime Safety</title><link>https://iolab.uniud.it/tag/maritime-safety/</link></image><item><title>SAFE</title><link>https://iolab.uniud.it/project/safe/</link><pubDate>Tue, 06 Dec 2022 00:00:00 +0000</pubDate><guid>https://iolab.uniud.it/project/safe/</guid><description>&lt;p&gt;&lt;strong&gt;SAFE — Realtime Damage Manager and Decision Support&lt;/strong&gt; was funded by the Friuli Venezia Giulia Region through the POR FESR programme and ran from 2020 to 2022.&lt;/p&gt;
&lt;p&gt;The project developed a digital twin and decision-support system for assessing damage to passenger ships in real time. IOLab led the automated-reasoning activity, working with Maritime Technology Cluster FVG, Cetena/Fincantieri, Arkitech, Lloyd&amp;rsquo;s Register EMEA, and SISSA MathLab.&lt;/p&gt;
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&lt;p&gt;See the &lt;a href="./SAFE%20POSTER%2050X70.pdf"&gt;project poster&lt;/a&gt; or watch the final project presentation below.&lt;/p&gt;
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