A new light ensemble deep-learning framework to detect fire
2023, vol.15 , no.4, pp. 37-48
Article [2023-04-04]
Fires can cause devastating damage to lands, properties, and humans. Many countries suffer from huge financial losses due to these fires. Therefore, there is a need to implement a practical solution to spot fires effectively and accurately. Deep-learning algorithms and artificial intelligence have been deployed recently in various fields, such as monitoring systems, economics, and detection. This paper proposes a New Light Ensemble Deep-Learning Framework (NLEDLF). This framework consists of two deep-learning technologies, which are a New Generative Adversarial Network (NGAN) and a New Convolutional Neural Network (NCNN). These two tools are incorporated into the framework along with some image preprocessing methods to detect fires using pixels. The proposed framework achieves a reasonable.
NGAN, NCNN, NLEDLF, fires, detection, light ensemble, framework
https://doi.org/10.59035/XNCU8652
Ahmed Alsheikhy , Tawfeeq Shawly , Hossam E. Ahmed , Hassan Fareed M. Lahza . A new light ensemble deep-learning framework to detect fire. International Journal on Information Technologies and Security, vol.15 , no.4, 2023, pp. 37-48. https://doi.org/10.59035/XNCU8652