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Several attempts have been made to improve docking by applying consensus scoring approaches using multiple structures or softwares or by rescoring compounds using normalization procedures [2 4].
For multichannel approaches using multiple microphone signals, a BSE scheme combining a blocking matrix (BM) and spectral enhancement filters was proposed in numerous publications.
Therefore, we believe that the slight structure deformation of the traditional metallic resonator is an effective way to achieve the multiple-band absorption; this kind of design method is bound to have obvious advantages compared to the previous design approaches using multiple different-sized resonators [22 38].
A few adopted broader approaches using multiple domains.
New analytical approaches using multiple types of data enable testing for these processes in greater detail [ 10– 13].
Thus, one advantage of machine learning approaches using multiple attributes is that they can discover multiple combinations of attributes that suggest redundancy or non-redundancy.
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Five approaches use composites outcome for benefit and composite outcomes for harm while 12 approaches use multiple outcomes.
Haplotype-based approaches use multiple genetic markers to test the association of the entire genetic locus with disease, but they do not necessarily identify the mechanistic underpinnings of the putative association [ 7].
An approach using multiple fission product barriers has been adopted to deal with such accidents.
We demonstrate the performance of our approach using multiple datasets.
Then we propose a fair scheduling approach using multiple gateways.
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