References
[2]. Damaševičius, R., Bacanin, N., & Misra, S. (2023).
From sensors to safety: Internet of Emergency Services
(IoES) for emergency response and disaster
management. Journal of Sensor and Actuator Networks,
12(3), 41.
[3].
Feng, S., Farha, F., Li, Q., Wan, Y., Xu, Y., Zhang, T., &
Ning, H. (2019). Review on smart gas sensing technology.
Sensors, 19(17), 3760.[7].
Korlapati, N. V. S., Khan, F., Noor, Q., Mirza, S., &
Vaddiraju, S. (2022). Review and analysis of pipeline leak detection methods. Journal of Pipeline Science and
Engineering, 100074.[8].
Krishnamurthi, R., Kumar, A., Gopinathan, D., Nayyar,
A., & Qureshi, B. (2020). An overview of IoT sensor data
processing, fusion, and analysis techniques. Sensors,
20(21), 6076.[9]. Lun, D., & Xu, K. (2022). Recent Progress in Gas Sensor
Based on Nanomaterials. Micromachines, 13(6), 919.
[10]. Nazemi, H., Joseph, A., Park, J., & Emadi, A. (2019).
Advanced micro-and nano-gas sensor technology: A
review. Sensors, 19(6), 1285.
[11].
Nikolic, M. V., Milovanovic, V., Vasiljevic, Z. Z., &
Stamenkovic, Z. (2020). Semiconductor gas sensors:
Materials, technology, design, and application. Sensors,
20(22), 6694.[12]. Okoro Isreal, C., & Omokaro, I. (2017). A model of
automatic fire detection and suppression system with
improved efficiency. American Journal of Engineering
Research, 6.
[14]. Shi, J., Chang, Y., Xu, C., Khan, F., Chen, G., & Li, C.
(2020). Real-time leak detection using an infrared
camera and Faster R-CNN technique. Computers &
Chemical Engineering, 135, 106780.
[15]. Surucu, O., Gadsden, S. A., & Yawney, J. (2023).
Condition Monitoring using Machine Learning: A Review
of Theory, Applications, and Recent Advances. Expert
Systems with Applications, 221, 119738.
[17].
Xu, M., Deng, J., Jiang, H., & Wang, Y. (2021,
September). Research on Safety Cut-off Technology of Gas Leakage Based on Gas Leak Alarm. In IOP
Conference Series: Earth and Environmental Science (Vol. 859, No. 1, p.012089). IOP Publishing.
