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	<title>ARIMA &#8211; BIOENGINEER.ORG</title>
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		<title>Explainable AI Pinpoints Urban Crime Hotspots and Forecasts Daily Trends Across Three Major US Cities</title>
		<link>https://bioengineer.org/explainable-ai-pinpoints-urban-crime-hotspots-and-forecasts-daily-trends-across-three-major-us-cities/</link>
		
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		<pubDate>Wed, 14 Oct 2026 19:53:44 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[ARIMA]]></category>
		<category><![CDATA[crime hotspot prediction]]></category>
		<category><![CDATA[deep learning forecasting]]></category>
		<category><![CDATA[Explainable AI]]></category>
		<category><![CDATA[GRU]]></category>
		<category><![CDATA[LSTM]]></category>
		<category><![CDATA[predictive policing]]></category>
		<category><![CDATA[SHAP]]></category>
		<category><![CDATA[time-series forecasting]]></category>
		<category><![CDATA[Transformer]]></category>
		<category><![CDATA[urban crime analytics]]></category>
		<category><![CDATA[XGBoost]]></category>
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					<description><![CDATA[A unified explainable AI framework applied to Chicago, Los Angeles, and New York City shows XGBoost best detects crime hotspots while LSTM and GRU outperform ARIMA in daily forecasting, with SHAP revealing recent local crime activity as the dominant predictor.]]></description>
		
		
		
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