Abstract: Deep Neural Networks (DNNs) deployed in resource-constrained embedded systems, like automotive platforms, often face severe “memory wall” problems and energy-consuming data movements. To ...
Abstract: This paper presents a feature selection technique based on $\ell _{1}$ regularization to select the most relevant weights of artificial neural networks (ANNs) for digital predistortion (DPD) ...
A critical Digital Humanities project examining Montesquieu's De l'esprit des lois Book XIX through computational methods that expose the friction between contextual humanistic philosophy and digital ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback