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An experimental based algorithm was implemented in the open source code OpenFOAM to account for the contact time and the dimple formation.
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Following this, the integrated model based on the Mamdani algorithm was implemented on the fuzzy logic toolbox of MATLAB software.
For the dipole magnets of the spectrometers, a high-performance feedback system based on a proportional integral differential algorithm was implemented.
In this paper a novel Sliding Mode Control (SMC) based algorithm is proposed to be implemented in a DC/DC converter in order to make an autonomous photovoltaic system to work at the MPP.
Sentiment analysis algorithm was implemented based on SentiWordNet 3.0 [26] as follows.
A simplified version of VEDAS [74] was developed, however, the piecewise linear approximation algorithm was implemented based on the information provided by Keogh et al. [75] through CEP rules using sliding windows.
A noise-corrected algorithm was implemented based on results from a recent study demonstrating increased accuracy and precision of T2 relaxation time when using a noise-corrected algorithm as compared with the traditional uncorrected exponential fit [ 22, 23].
A solar tracking algorithm was implemented with AVR based on both closed and open loop control algorithms.
Based on these features, a learning noise control algorithm was implemented on an experimental hearing aid.
The algorithm was implemented in Matlab.
The GRISOTTO algorithm was implemented in Java.
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