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Artificial Intelligence Enhancements in Public Safety Response Times across Selected Nigerian Cities

Artificial Intelligence (AI) applications in public safety have shown promise in improving response times to emergencies. A comparative analysis was conducted using machine learning techniques, specifically a Random Forest classifier to predict optimal AI model performance based on historical data from five Nigerian cities. Uncertainty quantification is provided through 95% confidence intervals for predictions. AI models demonstrated an average reduction of 20% in response times compared to traditional methods across the selected cities, with significant variance observed between urban and rur…

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