Exact(10)
Deep learning itself is a typical model of multi-granularity joint computation, and it could be expanded to a more general structure for multi-granularity joint computation (MGrJC).
They are granularity optimization, granularity conversion, and multi-granularity joint computation.
And if the brain disease is the result of multiple causes, then multi-granularity joint computation may be required.
Comparative simulation results show that (1) the designs in PCDO are efficient, and (2) simultaneous computation outperforms joint computation.
The exchange of full CSI and data information between the transmit cells enables the joint computation of the beamforming weights [4].
Multi-granularity joint computation takes a problem-oriented MGrR as input, and every layers of the MGrR are employed jointly to achieve a correct solution to the problem.
Similar(50)
The last paper by Valoroso and De Barros is related to adhesive joint computations using cohesive zones.
SMC allows multiple entities to perform joint computations on sensitive data they hold without disclosing such data.
These reflections encouraged us to optimise the categorical scoring system for progression by scoring the extent of pathological changes in the subchondral bone architecture, the subchondral bone plate and the synovial joint space, and computation of an overall score for the affected joints.
JL observed mouse treadmill running and performed TreadScan data acquisition and computation, whole joint photomicroscopy and histology, and provided draft figures and text for the manuscript.
However, these scores are rarely used to follow patients in clinical practice because they either employ extensive joint counts (DAS), their computation requires the use of calculators (DAS, DAS28, DAS28-CRP), or their results are not accessible for immediate decision making at the time of patient physician interaction because of missing laboratory results (DAS, DAS28, DAS28-CRP and SDAI).
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