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		<title>AI Framework Spots Unsafe Miner Behavior in Real Time with Dual Attention Pose Network</title>
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		<pubDate>Mon, 26 Oct 2026 17:19:36 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[AlphaPose]]></category>
		<category><![CDATA[attention]]></category>
		<category><![CDATA[Behavior]]></category>
		<category><![CDATA[detection]]></category>
		<category><![CDATA[dual]]></category>
		<category><![CDATA[environments]]></category>
		<category><![CDATA[mining]]></category>
		<category><![CDATA[Non-Local]]></category>
		<category><![CDATA[Optimizing]]></category>
		<category><![CDATA[real-time]]></category>
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		<category><![CDATA[Unsafe]]></category>
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					<description><![CDATA[Unsafe worker behavior remains one of the most persistent safety risks in the mining industry, and detecting it quickly enough to intervene has proven difficult under the harsh, visually complex conditions found underground. A new study published in the journal]]></description>
		
		
		
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