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1. An edge-intelligent three-tier framework for real-time forest fire detection, integrating WSNs, WMSNs, and UAVs
2. Designing Efficient and Lightweight Deep Learning Models for Healthcare Analysis
3. An Effective Forest Fire Detection Framework Using Heterogeneous Wireless Multimedia Sensor Networks
4. Activity Recognition and Anomaly Detection in E-Health Applications Using Color-Coded Representation and Lightweight CNN Architectures
5. A smart e-health framework for monitoring the health of the elderly and disabled
6. Hierarchical human activity recognition with fusion of audio and multiple inertial sensor modalities
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