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It was implemented using 8 e-puck robots in two different real scenarios and its results complemented with those of a 30 e-puck case.
It was implemented using the scikit-learn [40] Python libraries for all ML processes.
It was implemented using the LQI values of the control messages involved in the route discovery procedure.
As in [9], an unsigned constant coefficient multiplication was done by moving two negative signs to the next adder to make them positive, and it was implemented using multiplier-less operation.
It was implemented using a MATLAB toolbox routine.
It was implemented using the Microsoft Excel™ spreadsheet package.
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Due to its large dimensionality, it is implemented using machine learning tool, ensemble classifier [16] which consists of many base learners such as FLD [29].
It is implemented using an object-based API, providing several of the implementation classes as modules which can be added, removed or replaced to allow different functionality or application-specific optimisations.
It is implemented using InfoMax algorithm.
It is implemented using Java servlet technology.
It is implemented using a byte-code interpreter.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com