Research Article
Fog Big Data Analysis for IoT Sensor Application Using Fusion Deep Learning
Table 3
Comparative analysis between fusion deep learning algorithms (parking, transportation, pollution, security, and sensor IoT dataset accuracy in %).
| Category-IoT | Dataset source | Fusion deep learning algorithm (parking, transportation, pollution, security, and sensor IoT dataset accuracy in %) | SVM | SVMG-RBF | BPNN | S3VM | FDL |
| Parking datasets | [39] | 74.25 | 88.25 | 91.80 | 91.80 | 92.33 | Smart car datasets | [40] | 74.34 | 74.83 | 79.83 | 85.00 | 92.83 | Smart car datasets | [41] | 72.58 | 74.58 | 87.23 | 86.97 | 88.58 | IoT network datasets | [43] | 71.00 | 82.00 | 83.91 | 85.12 | 89.00 | IoT network datasets | [44] | 72.33 | 75.44 | 80.35 | 87.01 | 90.32 |
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