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Aspen Plus© was used to implement technical simulations.
The Microchip library was used to implement the inverse FFT (Ref 13).
IDA was used to implement the proposed method using IDARC (version 7.0) (Valles and Reinhorn 2010).
This formalization was used to implement the model in Python to perform simulations.
In this study, Minitab®V.16 software was used to implement Taguchi's method and the ANOVA analysis.
A computer program coded by M-files of Matlab7.0 was used to implement the proposed method.
This prior information was used to implement five NMF methods for single-channel source separation.
A K-means clustering method was used to implement the automatic optimization of layer regrouping.
The UMC 0.18 μm CMOS process was used to implement the proposed memory controller chip.
Tensorflow [29] was used to implement the Prior as well as the RL Agent.
ModelMaker® (version 3.0.3) was used to implement and run the model.
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