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In most cases, the system is propelled by conventional electric traction motors.
In all cases, the system is solved by the preconditioned conjugate gradient algorithm with smoothed aggregation (SA) based algebraic multigrid (AMG) preconditioning.
In both cases, the system is sampled periodically but the control actions are only computed at certain instances of time (based on events), which are a subset of the sampling times.
In most cases, the system is as automated as I described.
The female in frame (e) and a male in frame (f) are carrying the same bag, and in both cases the system is able to correctly recognize the gender.
For general cases, the system is turned into an optimization problem minimizing the total leakage interference and preserving the orthogonality of precoders and decoders as constraints, which is denoted as leakage interference minimization (LIM) problem.
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Isn't it the case the system is racially biased and that the poorer classes have a much harder time seeking justice and obtaining it?
In all cases, the system was well within DARPA's prescribed limits.
In most cases, the system was restarted remotely.
In both the cases, the system was equipped with a temperature and RH transducer (HMT-310, Vaisala, FI).
In terms of the system targets, across all cases, the system was set to use the default 15% SV increase target for 92% of case time.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com