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	<title>renewable energy models &#8211; BIOENGINEER.ORG</title>
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		<title>Optimizing Machine Learning for Bioethanol from Sugarcane</title>
		<link>https://bioengineer.org/optimizing-machine-learning-for-bioethanol-from-sugarcane/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Tue, 21 Oct 2025 18:53:52 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[bioethanol production]]></category>
		<category><![CDATA[Biomass conversion]]></category>
		<category><![CDATA[machine learning optimization]]></category>
		<category><![CDATA[renewable energy models]]></category>
		<category><![CDATA[renewable resource efficiency]]></category>
		<category><![CDATA[sugarcane bagasse bioethanol]]></category>
		<category><![CDATA[sugarcane bagasse utilization]]></category>
		<category><![CDATA[sustainable biofuels]]></category>
		<category><![CDATA[sustainable energy solutions]]></category>
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					<description><![CDATA[In the quest for sustainable energy solutions, the production of biofuels from renewable resources has gained significant traction, particularly in the wake of increasing concerns surrounding climate change and fossil fuel dependency. A cutting-edge study published in 2025 delves into the innovative realm of bioethanol production, specifically leveraging the carbohydrate-rich residues of sugarcane bagasse through [&#8230;]]]></description>
		
		
		
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