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	<title>pavement engineering &#8211; BIOENGINEER.ORG</title>
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		<title>Neural Networks Learn to Trust Their Data: Uncertainty-Weighted AI Predicts Asphalt Density</title>
		<link>https://bioengineer.org/neural-networks-learn-to-trust-their-data-uncertainty-weighted-ai-predicts-asphalt-density/</link>
		
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		<pubDate>Tue, 13 Oct 2026 18:34:41 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[air voids]]></category>
		<category><![CDATA[asphalt mixture]]></category>
		<category><![CDATA[Bayesian Optimization]]></category>
		<category><![CDATA[bulk density]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Marshall test]]></category>
		<category><![CDATA[measurement uncertainty]]></category>
		<category><![CDATA[Neural Networks]]></category>
		<category><![CDATA[pavement engineering]]></category>
		<category><![CDATA[quality control]]></category>
		<category><![CDATA[reclaimed asphalt pavement]]></category>
		<category><![CDATA[Switzerland]]></category>
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					<description><![CDATA[Researchers in Switzerland have developed an uncertainty-weighted neural network that incorporates standardized measurement uncertainty into both training and evaluation, improving the stability and robustness of asphalt mixture density predictions, especially on small or noisy datasets.]]></description>
		
		
		
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