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	<title>Üretim Anomalisi &#8211; BIOENGINEER.ORG</title>
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		<title>Digital Twin Enables Explainable Production Anomaly Detection</title>
		<link>https://bioengineer.org/digital-twin-enables-explainable-production-anomaly-detection/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Mon, 12 Jan 2026 22:16:24 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[Açıklanabilir Yapay Zeka]]></category>
		<category><![CDATA[Anomaly Detection]]></category>
		<category><![CDATA[Endüstri 4.0]]></category>
		<category><![CDATA[Explainable AI]]></category>
		<category><![CDATA[Industrial Manufacturing]]></category>
		<category><![CDATA[İşte 5 uygun etiket: **Digital Twin Technology]]></category>
		<category><![CDATA[İşte 5 uygun etiket: **Dijital İkiz]]></category>
		<category><![CDATA[Proaktif Bakım** * **Dijital İkiz:** Teknolojinin temelini oluşturuyor ve başlıkta/ana konuda vurgulanıyor. * **Açı]]></category>
		<category><![CDATA[Üretim Anomalisi]]></category>
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					<description><![CDATA[In a groundbreaking advancement poised to reshape industrial manufacturing, researchers have unveiled an innovative explainable mechanism designed to detect and analyze production process anomalies through the integration of digital twin technology. This paradigm-shifting approach, detailed in a forthcoming publication in Nature Communications, is not only designed to pinpoint irregularities within complex manufacturing processes but also [&#8230;]]]></description>
		
		
		
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