Research Article
Deep Learning-Based Wildfire Image Detection and Classification Systems for Controlling Biomass
Table 9
Execution time analysis for the RBFN-RAISR method with existing systems.
| No. of data from dataset | CNN | R-CNN | SVM | ANN | DT | BNN | RBFN-RAISR |
| 100 | 6.432 | 5.345 | 8.543 | 8.154 | 3.213 | 5.453 | 1.672 | 200 | 6.187 | 5.167 | 8.123 | 8.432 | 3.987 | 5.765 | 1.876 | 300 | 6.321 | 6.987 | 8.567 | 8.132 | 3.876 | 5.125 | 1.987 | 400 | 7.987 | 6.123 | 8.543 | 9.765 | 4.432 | 5.987 | 2.675 | 500 | 7.543 | 6.453 | 8.987 | 9.654 | 4.123 | 5.197 | 2.765 | 600 | 7.865 | 6.876 | 9.675 | 9.134 | 4.876 | 5.123 | 2.876 | 700 | 7.432 | 6.987 | 9.765 | 9.567 | 5.123 | 4.654 | 2.234 |
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