This work introduces a new deep neural network model Lu-Net with less layers, less complexity and very efficient ... and augmented for accurate and rapid training of deep convolutional neural network ...

Although deep learning is being widely adopted for computer vision, less research has been prominent in template-based profiling power SCA attacks. In addition, most of the existing works fall into a ...

Next, a competitive network composed of 1-D Convolutional Neural Network (1-D CNN) and a bidirectional Long Short Term Memory (bi-LSTM) network is employed to learn both spatial and temporal ...

Abstract: When dealing with clinical text classification on a small dataset, recent studies have confirmed that a well-tuned multilayer perceptron outperforms other generative classifiers, including ...