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A closed-loop proportional-integral-derivative (PID) algorithm was deployed to control the seed plate rotation speed.
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Firstly, an evolutionary algorithm is deployed to help the optimization process in subproblem 1 to find a bigger set of expansion candidates.
In the transmitter, it uses the encoder structure of cyclic codes while the min-sum algorithm is deployed to decode in the receiver.
Finally, a unique basis number generation algorithm is deployed to produce a basis number based on measured data itself and the specific multi-dimensional space range.
Next, a constrained gradient descent (GD) algorithm is deployed to solve the simplified formulation (Problem 2) using the convex solution as a starting point.
A new objective functional is proposed to convert the original reconstruction task into an optimization problem, and the simulated annealing algorithm is deployed to effectively solve the proposed objective functional.
Firstly, a dynamic part mean filtering algorithm is proposed to separate the direct current components, and then a limited impulse response filtering algorithm is deployed to filter out the high-frequency noise.
Moreover, in [9, 10] some message-passing algorithms (including the sum-product algorithm) are deployed to coordinate parameters of downlink beamforming in a distributed manner in a multicell single-input-single-output system.
Gruppe was deployed to the Mediterranean theater.
This algorithm was deployed with decision trees, created in an off-line knowledge discovery process.
The ACMA algorithm was deployed on Google Earth Engine (GEE) cloud computing platform and applied on MODIS time-series data from 2003 through 2014 to obtain ACMA-derived cropland layers for these years (ACL2003 to ACL2014).
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CEO of Professional Science Editing for Scientists @ prosciediting.com