<?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>leave-one-battery-out validation &#8211; BIOENGINEER.ORG</title>
	<atom:link href="https://bioengineer.org/tag/leave-one-battery-out-validation/feed/" rel="self" type="application/rss+xml" />
	<link>https://bioengineer.org</link>
	<description>Bioengineering</description>
	<lastBuildDate>Sat, 17 Oct 2026 16:08:31 +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>leave-one-battery-out validation &#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>Machine Learning Predicts EV Battery Temperature on Cells It Has Never Seen</title>
		<link>https://bioengineer.org/machine-learning-predicts-ev-battery-temperature-on-cells-it-has-never-seen/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Sat, 17 Oct 2026 16:08:31 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[battery management systems]]></category>
		<category><![CDATA[electric vehicles]]></category>
		<category><![CDATA[feature engineering]]></category>
		<category><![CDATA[leave-one-battery-out validation]]></category>
		<category><![CDATA[LightGBM]]></category>
		<category><![CDATA[lithium-ion batteries]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[NASA battery dataset]]></category>
		<category><![CDATA[Random Forest]]></category>
		<category><![CDATA[SHAP analysis]]></category>
		<category><![CDATA[temperature prediction]]></category>
		<category><![CDATA[Thermal management]]></category>
		<guid isPermaLink="false">https://bioengineer.org/?p=429683</guid>

					<description><![CDATA[Researchers in India have built a machine-learning framework that predicts lithium-ion battery temperature during discharge with around one degree Celsius accuracy on completely unseen cells, using leakage-safe validation and SHAP analysis to reveal which electrical features drive thermal behaviour.]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">429683</post-id>	</item>
	</channel>
</rss>
