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	<title>Hybrid biogeography optimization &#8211; BIOENGINEER.ORG</title>
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		<title>Hybrid Biogeography Optimization for Fuel Cell Parameter Estimation</title>
		<link>https://bioengineer.org/hybrid-biogeography-optimization-for-fuel-cell-parameter-estimation/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Tue, 09 Sep 2025 10:35:34 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[Clean technology]]></category>
		<category><![CDATA[Hybrid biogeography optimization]]></category>
		<category><![CDATA[Optimization algorithms]]></category>
		<category><![CDATA[PEMFC parameter estimation]]></category>
		<category><![CDATA[Renewable energy systems]]></category>
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					<description><![CDATA[In the realm of renewable energy technologies, the quest for efficient and reliable power generation systems has never been more pressing. Among these, proton exchange membrane fuel cells (PEMFCs) stand out due to their potential to provide clean energy through the electrochemical conversion of hydrogen and oxygen. A recent study published in Ionics sheds light [&#8230;]]]></description>
		
		
		
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