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The content-based pattern generation (CPG) algorithm provides local optimal result as only one pattern can be optimally generated from a given set of moving regions.
The aggregator that optimally generates the energy schedule is an operation in the absence of a demand-response event.
It is shown that the remaining J-coupling between the two quadrupolar deuterium spins, JQQ, splits the conditions for optimally generating proton singlet states.
The aim of the tailoring process is to generate few scenarios that can optimally represent the spectrum of climate scenarios.
We performed additional analyses to determine how many samples can optimally be pooled to help reduce the cost of sequencing, while still generating a decent amount of good quality data.
This set of procedure generated a number of different resultant networks, each representing a "minimal" adjustment that can optimally reproduce the given gene essentiality data.
We attempted to devise an algorithm that can optimally handle any number of floors.
First, RMS providers can eliminate unnecessary or redundant work, and can optimally schedule resources such as network bandwidth and CPU.
By using such type of techniques they can optimally allocate the available limited resources.
This algorithm can optimally solve the stringent problems encountered by an RFID interrogator.
By applying the proposed scheme, we can optimally eliminate high-PAPR signals while minimizing performance degradation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com