Abstract: Traffic classification is a critical task in network security and management. Recent research has demonstrated the effectiveness of the deep learning-based traffic classification method.

Abstract: Image Denoising is one of the current day challenges in the field of image processing. Noise in the image is the existence of artifacts that do not start from the original picture content.

MST-VAE is an unsupervised learning approach for anomaly detection in multivariate time series. Inspired by InterFusion paper, we propose a simple yet effective multi-scale convolution kernels applied ...