This paper presents a robust adaptive wideband beamforming approach based on a complex-valued deep convolutional neural network (CDCNN) for solving th...

The classical total variation (TV) model has made great successes in image denoising due to the edge-preserving property of the TV regularization. How...

In this paper, we investigate the capability of modeling distant temporal interaction of Long Short-Term Memory (LSTM) and introduce a novel Long Shor...

Deep learning-based image super-resolution research allows reconstruction of detailed images from low-resolution images in a short time. However, the...

In recent years, cloud computing has revolutionized computing. The resource usage prediction of machine workloads has been one of the most important a...