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Air pollution monitoring is essential for understanding environmental conditions and assessing potential health risks. This project implements a machine learning-based approach to predict PM2.5 ...

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LSTM-attention model predicts risky digital usage patterns in adults aged 60 and older with 0.947 accuracy and 0.93 early-warning sensitivity using behavioral proxy labels rather than ...

How ML secures blockchain payments with fraud detection, AML analytics, risk scoring, and real-time transaction monitoring.

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