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This Special Issue aims to publish extended versions of papers in machine learning communications and electronics. Potential topics include but are not limited to Gaussian processes, support vector machines, nearest neighbors, extreme learning machines, evolutionary algorithms (EAs), decision trees, random forests, artificial neural networks (ANNs), and deep learning networks (DNNs). Manuscripts should be submitted online and should not have been published previously. All manuscripts are thoroughly refereed through a single-blind peer-review process.
