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	<title>AI in emergency response &#8211; BIOENGINEER.ORG</title>
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		<title>Earthquake Impact Mapped via Mobile Data, AI</title>
		<link>https://bioengineer.org/earthquake-impact-mapped-via-mobile-data-ai/</link>
		
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		<pubDate>Thu, 11 Dec 2025 13:00:31 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[AI in emergency response]]></category>
		<category><![CDATA[Earthquake damage assessment]]></category>
		<category><![CDATA[Mobile signaling data]]></category>
		<category><![CDATA[Random Forest algorithm]]></category>
		<category><![CDATA[Real-time disaster monitoring]]></category>
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					<description><![CDATA[In the rapidly evolving landscape of disaster response, harnessing real-time data to assess the severity of earthquake-impacted areas has become an indispensable objective. A breakthrough study recently published in the International Journal of Disaster Risk Science introduces a pioneering methodology that leverages mobile signaling data combined with an advanced machine learning technique known as Random [&#8230;]]]></description>
		
		
		
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