The method, called the COPY method, gives very good approximate MLEs.
Performance measures of the proposed work are compared with other methods, and this comparison proves that the proposed method yields very good results than other methods.
Advances in bandwidth and cloud-based storage have made this method a very good (and very cost-effective) method for copying files.
Numerical results obtained from the present method are compared with those from the finite element method and very good agreement is observed.
The proposed method yields very good result for noisy image also, and it proved that the proposed method is insensitive for noise.
Our method achieves very good performance in the case of high-quality MP3 files: indeed, for BR2 equal to 192 kbit/s, our method achieves an almost perfect classification performance irrespective of the audio segment duration.
For all cases examined the method showed very good performance.
They indicate that the proposed solution method gives very good solutions.
This proposed hybrid method yields very good results than simple morphological approach.
Overall, the proposed method demonstrates very good accuracy and convergence in numerical tests.
