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Knowledge of per-flow throughput and MAC behavior is very critical for designing future protocol for all variants of multi-hop WMN and this greatly helps in identifying dominating and starving flows in the arbitrary network.
Figure 15 Throughput in the case of perfect channel knowledge vs. throughput based on postpreamble channel estimation in Cyan Set.
We present a new framework for catalyst design that integrates computer-aided extraction of knowledge with high-throughput experimentation (HTE) and expert knowledge to realize the full benefit of HTE.
However, to the best of authors' knowledge, delay-throughput characteristics of multi-channel MAC protocols have not been studied yet in case of Poisson arrivals and infinite number of users.
On the other hand, a ligand-based approach is based on the knowledge of hits found with high-throughput screening, virtual screening, or other combinatorial techniques.
The knowledge of request flow intensities provides throughputs that can be used in regression techniques.
The results of ACSEA's evaluation suggest that it is a very potent technique capable of increasing the efficiency (i.e. the ease of data analysis by a human expert) and effectiveness (i.e. the quality and quantity of the obtained knowledge) of the processing of high-throughput experiments.
More recently, computational approaches have been critical in the translation of high throughput data into knowledge of both developmental and stem cell biology.
This microkinetic model with catalyst descriptors can be used as an effective tool to extract knowledge from high-throughput experiments of methane oxidative coupling.
With rapid advances in our knowledge of the human genome and increasing availability of high-throughput investigative technology, genome-wide association (GWA) studies have recently gained marked popularity.
High-throughput microarrays have significantly enhanced our knowledge of cancer biology [ 31- 33].
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