... advanced signal processing with deep learning classifiers. The study provides valuable insights into optimizing input data for DNN fault detection, contributing to the advancement of reliable condition monitoring systems for industrial induction motors. Corresponding author Konrad Gorny...

...Tarek Sallam Purpose The purpose of this paper is to present a deep-learning-based beamforming method for phased array weather radars, especially whose antenna arrays are equipped with large number of elements, for fast and accurate detection of weather observations. Design/methodology/approach...

... of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode Deep learning Topology optimization Electromagnetic inverse problems...

... the softmax classification. Figure 2. Illustration an SAE alongside the classifier layer Hinton et al. (2006) introduced the deep learning concept, which is a learning mechanism same as the mechanism of human brain, to construct an intelligent model without any separate feature...