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		<title>Entropy-guided access point selection slashes Wi-Fi fingerprint size by up to 95 percent</title>
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				<category><![CDATA[Technology]]></category>
		<category><![CDATA[access]]></category>
		<category><![CDATA[access point selection]]></category>
		<category><![CDATA[adaptive]]></category>
		<category><![CDATA[adaptive thresholding]]></category>
		<category><![CDATA[domain shift]]></category>
		<category><![CDATA[entropy-guided]]></category>
		<category><![CDATA[indoor localization]]></category>
		<category><![CDATA[point]]></category>
		<category><![CDATA[robustness]]></category>
		<category><![CDATA[Scientific Reports]]></category>
		<category><![CDATA[Shannon entropy]]></category>
		<category><![CDATA[Wi-Fi fingerprinting]]></category>
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					<description><![CDATA[A new entropy-guided framework prunes up to 95 percent of Wi-Fi access points from indoor positioning fingerprints while preserving accuracy and improving robustness under noise and outages.]]></description>
		
		
		
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