Heuristic Forest Fire Detection Using the Deep Learning Model with Optimized Cluster Head Selection Technique
Disaster prediction systems enable authorities and communities to identify and understand the risks associated with various natural and man-made disasters. Disaster prediction systems are essential tools for enhancing public safety, reducing the impact of disasters, and enabling more informed and st...
Saved in:
Main Authors: | Sengottaiyan N., Ananthi J., Rajesh Sharma R., Hamsanandhini S., Sungheetha Akey, Chinnaiyan R., Ketema Adare Gemeda |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2024-01-01
|
Series: | Journal of Computer Networks and Communications |
Online Access: | http://dx.doi.org/10.1155/2024/6569596 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Forest Fire Clustering: A Novel Tool for Identifying Star Members of Clusters
by: Xingyin Wei, et al.
Published: (2025-01-01) -
Efficient Heuristic Based on Clustering Approach for OLSR
by: Ali Choukri, et al.
Published: (2013-01-01) -
Forest fire hazard assessment based on forest typology
by: Volodymyr P. Voron, et al.
Published: (2024-10-01) -
Deep Learning-Based Dynamic Stable Cluster Head Selection in VANET
by: Muhammad Asim Saleem, et al.
Published: (2021-01-01) -
An Examination of the Leadership and Management Traits and Style in the Forest Fire Incident Command System: The Cyprus Forest Fire Service
by: Nicolas-George Homer Eliades, et al.
Published: (2024-12-01)