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		<title>Deep Learning AI Detects and Repairs Hacker Attacks on Brain Signals in Real Time</title>
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				<category><![CDATA[Technology]]></category>
		<category><![CDATA[Anomaly Detection]]></category>
		<category><![CDATA[Brain-Computer Interface]]></category>
		<category><![CDATA[cybersecurity]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[denial of service]]></category>
		<category><![CDATA[EEG]]></category>
		<category><![CDATA[healthcare]]></category>
		<category><![CDATA[LSTM neural network]]></category>
		<category><![CDATA[medical Internet of Things]]></category>
		<category><![CDATA[Neural Computing and Applications]]></category>
		<category><![CDATA[root mean square error]]></category>
		<category><![CDATA[signal correction]]></category>
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					<description><![CDATA[A new deep learning framework can detect six types of cyber-attacks on EEG signals and reconstruct the corrupted brain data in real time, with detection accuracy reaching up to 99 percent.]]></description>
		
		
		
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