<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>airborne measurements &#8211; BIOENGINEER.ORG</title>
	<atom:link href="https://bioengineer.org/tag/airborne-measurements/feed/" rel="self" type="application/rss+xml" />
	<link>https://bioengineer.org</link>
	<description>Bioengineering</description>
	<lastBuildDate>Mon, 26 Oct 2026 23:34:36 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=7.1.3</generator>

<image>
	<url>https://bioengineer.org/wp-content/uploads/2019/09/cropped-bioengineering-32x32.png</url>
	<title>airborne measurements &#8211; BIOENGINEER.ORG</title>
	<link>https://bioengineer.org</link>
	<width>32</width>
	<height>32</height>
</image> 
<site xmlns="com-wordpress:feed-additions:1">72741379</site>	<item>
		<title>Hybrid AI reconstructs 3D electromagnetic fields from sparse airborne measurements</title>
		<link>https://bioengineer.org/hybrid-ai-reconstructs-3d-electromagnetic-fields-from-sparse-airborne-measurements/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Mon, 26 Oct 2026 23:34:36 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[airborne measurements]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[DGKAN]]></category>
		<category><![CDATA[electromagnetic fields]]></category>
		<category><![CDATA[Gaussian processes]]></category>
		<category><![CDATA[general aviation]]></category>
		<category><![CDATA[hybrid model]]></category>
		<category><![CDATA[Kolmogorov–Arnold Networks]]></category>
		<category><![CDATA[Kriging]]></category>
		<category><![CDATA[Scientific Reports]]></category>
		<category><![CDATA[spatial reconstruction]]></category>
		<category><![CDATA[uncertainty estimation]]></category>
		<guid isPermaLink="false">https://bioengineer.org/?p=458246</guid>

					<description><![CDATA[A hybrid deep learning model combining Kolmogorov-Arnold networks with Gaussian Process modeling reconstructed three-dimensional electric field distributions from more than 80 hours of airborne measurements across four aircraft types, reducing error by about 27.6 percent relative to the strongest baseline.]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">458246</post-id>	</item>
	</channel>
</rss>
