The manufacturing sector is a fundamental pillar of worldwide economies, contributing
markedly to global economic growth. However, the manufacturing industry is persistently …

Deep reinforcement learning (DRL) has shown promising performance in various
application areas (eg, games and autonomous vehicles). Experience replay buffer strategy …

In this paper, we develop a novel regularization method for deep neural networks by
penalizing the trace of Hessian. This regularizer is motivated by a recent guarantee bound of …

The main contribution of this paper is to provide an accurate taxonomy for delivery
techniques, which allows the detection of novel techniques and the identification of …

Eyeglass reflection removal is of great importance to the portrait image processing.
However, it remains a challenge to eliminate the reflections on the glass and restore the …

Smart manufacturing uses robots and artificial intelligence techniques to minimize human
interventions in manufacturing activities. Inspection of the machine'working status is critical …

Image transfer plays a significant role in the manufacture of PCB; it affects the production
speed and quality of the manufacturing process. This study proposes a surface-framework …

The Convolutional Neural Network (CNN) methodologies have been a fundamental deep
learning solution to smart grid applications. It is essential to investigate and evaluate the …

Social media has allowed anybody to share their opinions and engage with the general
public, but it has also become a platform for harsh language, cruel conduct, personal …

Images captured through glass are usually contaminated by reflections, and the removal of
them from images is a challenging task. Since the primary concern on photos is face, the …