ARCHIVES

1. G. Wang et al., "Deep Fusion Network for Real-time Fire Prediction in Smart Building Fire AlarmSystems," IEEE Access, vol. 10, pp.
34795-34810, 2022.
2. Y. Zhang et al., "An LSTM-based Anomaly Detection Framework for Proactive Fire Prevention inSmart Buildings," IEEE Systems
Journal, vol. 16, no. 4, pp. 7516-7527, 2022.
3. M. Chrysomala et al., "Multi-Sensor Data Fusion for Real-time Fire and Gas Leak Detection inIndustrial Environments,"
IEEE Sensors Journal, vol. 23, no. 5, pp. 4555-4563, 2023.
Voice Interaction and Personalized Evacuation:
4. .Pradhan et al., "Voice-Activated Fire Alarm System with Contextual Evacuation Instructions using Real-time Building Information,"
IEEE Transactions on Consumer Electronics, vol. 67, no. 4, pp. 849-856, 2021.
5. H.-S. Kim et al., "A Voice-activated Fire Alarm System with Emotion Recognition for Enhanced UserGuidance," IEEE Access, vol. 10,
pp. 22157-22167, 2022.
6. W. Jiang et al., "A Multi-lingual Voice Interaction System for Smart Fire Alarms in Public Buildings,"IEEE Transactions on Cybernetics,
vol. 53, no. 2, pp. 1306-1316, 2023.
IoT Connectivity and Proactive Prevention:
7. M. Ali et al., "Cloud-based IoT Fire Alarm System for Real-time Data Analysis and Proactive Fire Prevention Measures," IEEE Sensors
Journal, vol. 23, no. 4, pp. 3691-3702, 2023.
8. Z. Yang et al., "A Secure and Scalable IoT Platform for Smart Fire Alarm Systems with Distributed Machine Learning," IEEE Internet
of Things Journal, vol. 9, no. 5, pp. 3954-3965, 2022.
9. J.-H. Wang et al., "An Intelligent Risk Assessment System for Smart Fire Alarms using Edge Computingand Cloud-based Data Analytics,"
IEEE Transactions on Industrial Informatics, vol. 17, no. 5, pp. 3305-3314, 2021.
Additional Noteworthy Research:
10. J. Li et al., "Design and Implementation of a Smart Fire Alarm System with Visual and Auditory Warnings for Visually Impaired People,"
IEEE Transactions on Human-Machine Systems, vol. 52, no.5, pp. 540.