Research Article
A Novel Approach for Detection of Pavement Crack and Sealed Crack Using Image Processing and Salp Swarm Algorithm Optimized Machine Learning
Table 3
p values obtained from the Wilcoxon signed rank test results.
| Class | Comparison | value |
| Noncrack | CV-SSA-SVM vs. Adam-BPANN | 0.0005 | | CV-SSA-SVM vs. Adam-DCNN | 1.0000 | | CV-SSA-SVM vs. RFC | 0.0350 |
| Sealed crack | CV-SSA-SVM vs. Adam-BPANN | 0.0002 | | CV-SSA-SVM vs. Adam-DCNN | 0.0020 | | CV-SSA-SVM vs. RFC | 0.0001 |
| Crack | CV-SSA-SVM vs. Adam-BPANN | 0.0004 | | CV-SSA-SVM vs. Adam-DCNN | 0.0075 | | CV-SSA-SVM vs. RFC | 0.0401 |
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