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Comparisons with other existing methods such as minima hopping and genetic algorithm are provided.
We also combine our method with three other existing methods, such as COACH, MCL and MCODE.
Existing methods, such as the super-cell method, provide an efficient computation of well-confined modes.
Current understanding of this process is limited because existing methods such as immunoassays fail to distinguish ADCs with different DARs.
Hence the AQMs and the SEMs are superior to the existing methods, such as GM and CM.
The proposed method, can be applied as an extension of state of the art existing methods, such as the null-field method with discrete sources.
The proposed methodology is reasonably accurate and computationally fast, when compared with existing methods such as the first perturbation method and the Monte Carlo simulation.
Existing methods, such as memory and Matrix Factorization (MF) approaches can achieve very good recommendation accuracy, unfortunately they are computationally very expensive.
Experimental results show that the proposed scheme achieves higher lossless video compression ratio than existing methods such as JPEG-LS and JPEG-2000.
Recently, we introduced a new congestion signaling method called ACK spoofing, which offers significant benefits over existing methods, such as packet dropping and Explicit Congestion Notification (ECN).
The USAD method compared favorably with existing methods such as hot plate assisted digestion method, X-ray fluorescence and LECO™-CNS method.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com