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Predicting electrode array impedance after one month from cochlear implantation surgery
Our results indicates that the electrode impedance can be predicted, and the best algorithm is different based on the electrode channel.
Modelling of Received Signals in Molecular Communication Systems based machine learning: Comparison of azure machine learning and Python tools
In this paper, we concentrate on one critical aspect of the MC system, modelling MC received signal until time t , and demonstrate that using tools from ML makes it promising to train detectors that can be executed well without any information about the channel model.
Classification of the Chess Endgame problem using Logistic Regression, Decision Trees, and Neural Networks
In this study we worked on the classification of the Chess Endgame problem using different algorithms like logistic regression, decision trees and neural networks.
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