Rutting of asphalt pavements is a crucial design criterion in various
pa...
This paper considers decentralized convex composite optimization over
un...
In this paper, we propose a novel primal-dual proximal splitting algorit...
Deep neural networks are vulnerable to adversarial attacks. Most white-b...
This paper proposes a novel dual inexact splitting algorithm (DISA) for ...
Based on the mathematical-physical model of pavement mechanics, a multil...
A counter-intuitive property of convolutional neural networks (CNNs) is ...
As gradient descent method in deep learning causes a series of questions...
Industrial smoke emissions present a serious threat to natural ecosystem...
In this paper, we consider the problem of descriptors construction for t...
This work investigates a reduced-complexity adaptive methodology to cons...