The improved approach is efficient, and feasible for real-time application.
So it is efficient and feasible for real-world decision making applications.
Analysis results demonstrate the proposed methodology is efficient and effective through a real world case study.
Overall, the proposed OSDHL-RBFN is efficient and suitable for dynamic real world applications in terms of detection time and accuracy.
Simulation results show that the UKF is efficient and effective for the real-time state estimation and parameter identification of highly non-linear hysteretic systems with degradation and pinching.
From this result, we infer that the proposed system is efficient and can apply to real-time tasks.
Finally it can be concluded that the proposed method is efficient and feasible for solving the real time complex power system problems.
The provided experimental results show that the proposed approach is efficient and can be applied in real-time.
The experimental results have shown that the proposed approach is efficient and can be implemented in real-time on FC-PHEVs.
The relationship of time and space has changed, where it requires us to plan less but yet enable us to be efficient and effective in real time.
