Research Article
Reformist Framework for Improving Human Security for Mobile Robots in Industry 4.0
Table 5
The comparative analysis traditional model and proposed model.
| Name algorithm | Traditional | Proposed mr-dfl |
| DT | Large amounts of memory, a large dataset, and a lengthy computation time | Reduce the amount of time it takes to compute and increase accuracy | RF | Cost of computation is really high | Less computation cost | SVM | Error evaluation, very slow | Error evaluation, very high | SVMG-RBF | Data classification, very slow | Data classification, very high response | BPNN | More computing in large datasets | Large datasets with excellent precision | Proposed | Inaccuracy large datasets, significant memory use | Low memory usage, great precision |
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