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	<title>dung beetle optimizer &#8211; BIOENGINEER.ORG</title>
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		<title>Explainable AI yields a five-parameter formula for nonlinear concrete creep</title>
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		<pubDate>Sun, 25 Oct 2026 15:22:07 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[concrete creep]]></category>
		<category><![CDATA[creep compliance]]></category>
		<category><![CDATA[dung beetle optimizer]]></category>
		<category><![CDATA[Explainable AI]]></category>
		<category><![CDATA[high stress concrete]]></category>
		<category><![CDATA[LightGBM]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[nonlinear creep]]></category>
		<category><![CDATA[NU database]]></category>
		<category><![CDATA[SHAP]]></category>
		<category><![CDATA[structural engineering]]></category>
		<category><![CDATA[Symbolic regression]]></category>
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					<description><![CDATA[Researchers combined an optimized gradient-boosting model, SHAP explainability, and symbolic regression to derive an explicit, accurate equation for concrete creep under high stress levels.]]></description>
		
		
		
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