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Author

Firoj Gazi

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2026

Energy-Efficient PM2.5-Based Air-Quality Forecasting Using Bayesian-Optimized CNNs on Embedded Devices

Real-time PM<sub>2.5</sub> forecasting on microcontroller-class devices is challenging because conventional learning models often require high memory, computation, and power. This article proposes a Bayesian-optimized convolutional neural network (BOCNN) for lightweight PM<sub>2.5</sub>-based air-quality forecasting on...

C. Bhushan, Firoj Gazi, M. Hussain · 0 citations

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