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	<title>Fault Diagnosis &#8211; BIOENGINEER.ORG</title>
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		<title>AI Innovations in Sensor Management: A Bibliometric Overview</title>
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		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Thu, 27 Nov 2025 17:22:03 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[AI Applications]]></category>
		<category><![CDATA[Bibliometric Review]]></category>
		<category><![CDATA[Fault Diagnosis]]></category>
		<category><![CDATA[Knowledge Graphs]]></category>
		<category><![CDATA[Sensor Management]]></category>
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					<description><![CDATA[In the evolving landscape of artificial intelligence, there are numerous advancements that are reshaping traditional methodologies across various sectors. One prominent area of focus is the integration of knowledge graphs in fault diagnosis systems, particularly in the domain of sensor management. A recent bibliometric review conducted by researchers Li and Wu outlines significant findings and [&#8230;]]]></description>
		
		
		
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