Abstract: Machine learning has been deployed in networks for automatically analyzing network data, proactively monitoring network dynamics, and predicting network resource availability. This becomes ...

MathWorks’ MATLAB 2018b release serves up a number of new features, including the Deep Learning Toolbox that supports development of machine-learning applications. Other new features include the 5G ...

Abstract: Deep neural networks (DNNs) have become a relevant subject in the classification of radio frequency signals and remote sensing data. A primary challenge is a tradeoff between obtaining data ...

UNESCO estimates that over 1.5 billion students in 165 countries are out of school due to COVID-19. The pandemic has forced the global academic community to explore new ways of teaching and learning, ...

RTDL is an open-source Python package designed for creating deep learning models focused on tabular data. Recent advancements in deep learning have enhanced the ability to identify patterns in various ...

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...

arXiv: https://arxiv.org/abs/1609.08414 Science and Technology Publications, Lda: http://www.scitepress.org/PublicationsDetail.aspx?ID=%2F+JoYnlE148%3D Please cite ...

MathWorks has introduced Release 2018b of MATLAB and Simulink which contains significant enhancements for deep learning, along with new capabilities and bug fixes across the product families. The new ...