Since the mutual information does not demand any particular functional relationships between the data points, it is a better method (when compared with the autocorrelation coefficient) for measuring the predictability of nonlinear systems.
But T3 provided better results when compared with T1 (control).
The proposed whisper speech recognition system exhibits reasonably better performance when compared to several conventional methods.
Accompanied with a nominal scale, tieness also provides better results when compared to the existing metrics.
Arginine showed better efficiency when compared with aspartic acid and cysteine.
Throughput of LAPU was 11% better when compared with APU and 15% better when compared with AOMDV.
It is also important to find that SLBP performs better when compared to the LBP alone.
EM and MEM techniques fail miserably to achieve better classification accuracy when compared with SVD classifier.
The performance of AHAC was better when compared to other adsorbents.
Our simulation results also demonstrate that event-driven exchange performs better when compared to periodic exchange.
