Pioneering Real-Time Forest Fire Detection: A Comprehensive Examination of Advanced Machine Learning Techniques in IoT-Integrated Systems for Enhanced Environmental Adaptability
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-61287-9_27
Reference14 articles.
1. Benzekri, W., El Moussati, A., Moussaoui, O., Berrajaa, M.: Early forest fire detection system using wireless sensor network and deep learning. Int. J. Adv. Comput. Sci. Appl. 11(5) (2020)
2. Fan, R., Pei, M.: Lightweight forest fire detection based on deep learning. In: 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1–6. IEEE (2021)
3. Avazov, K., Hyun, A.E., Sami, S.A.A., Khaitov, A., Abdusalomov, A.B., Cho, Y.I.: Forest fire detection and notification method based on AI and IoT approaches. Future Internet 15(2), 61 (2023)
4. Almasoud, A.S.: Intelligent deep learning enabled wild forest fire detection system. Comput. Syst. Sci. Eng. 44(2) (2023)
5. Peruzzi, G., Pozzebon, A., Van Der Meer, M.: Fight fire with fire: detecting forest fires with embedded machine learning models dealing with audio and images on low power IoT devices. Sensors 23(2), 783 (2023)
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