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A comparison based on the worst case scenario is presented to prove the efficiency of the present algorithm.
A comparative study with the static Gaussian filter and other recent techniques is presented to prove the efficiency of the proposed approach.
Mathematical theory is carefully exposed and three potential applications in power systems are presented to prove the efficiency of the signal processing method: high-impedance fault detection in three-phase distribution systems, single-phase VAR and harmonic compensator and three-phase voltage filtering.
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The pp1a control (a human mRNA present in the HeLa RNA) is presented to prove that RT efficiency was similar in the presence and absence of poly(A) polymerase.
In Section 3, several numerical examples are presented to demonstrate the efficiency of present numerical algorithm.
To prove the efficiency of present simulation, the simulated LP of Pd nanoparticles are shown in Fig. 1.
In Section 4, numerical examples are discussed to prove the efficiency and the rapid convergence of the present algorithm.
From the present work it is expected that further preclinical and animal experiments are necessary to prove the efficiency and safety of 3DHSA-G-CSF.
Finally, we present the comparison of the performance of the CPU and GPU to run an increasing number of simulations of the BCC model, to prove the efficiency of coagSODA.
Numerical results were compared with the existing methods to prove the efficiency of the method.
This is done to prove the efficiency of the proposed method.
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