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