A High-Precision Machine Learning Approach to Smart Fire Prevention  Using Multi-Dimensional Environmental Data

M. Ramana kumar

A High-Precision Machine Learning Approach to Smart Fire Prevention Using Multi-Dimensional Environmental Data

Authors

M. Ramana kumar

Keywords:

Fire alarms, Sensor Data, Predictive analytics, Random forest classifier, Fire prevention, Alarm forecasting.

Abstract

The research details the development of an intelligent fire prevention system designed to forecast alarmactivations through multi-sensor data analytics. By synthesizing environmental inputs, the system aimsto facilitate proactive interventions and mitigate fire-related risks. The methodology involved comprehensive data collection followed by exploratory

References

Zhang, Ziyang, Lingye Tan, and Robert Lee Kong Tiong. "Ship-Fire Net: An Improved YOLOv8 Algorithm for Ship Fire Detection." Sensors 24, no. 3 (2024): 727.

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Published

2024-11-30

How to Cite

M. Ramana kumar. (2024). A High-Precision Machine Learning Approach to Smart Fire Prevention Using Multi-Dimensional Environmental Data . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 7793–7801. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4923