Automatic fire detection based on soft computing techniques: review from 2000 to 2010

@article{Mahdipour2012AutomaticFD,
  title={Automatic fire detection based on soft computing techniques: review from 2000 to 2010},
  author={Elham Mahdipour and Chitra Dadkhah},
  journal={Artificial Intelligence Review},
  year={2012},
  volume={42},
  pages={895-934}
}
Automatic fire detection system is a system that is capable of assessing environmental factors and their effects on the environment as well as predicting the occurrence of fire in the early stages and even before the outbreak. There are two perspectives in fire detection: fire detection in forests or jungles and fire detection in occupied or residential areas. Automatic fire detection has attracted increased attention due to its importance in decreasing fire damage. There are many studies that… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 123 REFERENCES

Using Bayes method and Fuzzy C - Mean Algorithm for Fire Detection in Video

  • 2009 International Conference on Advanced Technologies for Communications
  • 2009
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

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