Robotic manipulation challenges, such as grasping and object manipulation, have been
tackled successfully with the help of deep reinforcement learning systems. We give an …

The surge of machine learning (ML) applications and increasing usage of data driven
approach for resilience enhancement provide great opportunities for applying ML …

Abstract Mathematics lies at the heart of engineering science and is very important for
capturing and modeling of diverse processes. These processes may be naturally-occurring …

Faced with increasingly serious environmental problems, scientists have conducted
extensive research, among which the importance of air quality prediction is becoming …

Human trafficking is a severe problem worldwide and social media platforms have emerged
as a potential tool to detect and prevent this crime. Machine learning (ML) algorithms have …

Maintenance of distribution lines primarily relies on manually operated robotic arms, which
lack intelligence and pose safety risks of collisions in complex distribution network …

In this chapter, we describe how to adopt different software components based on the
previously presented conceptual solution and generate an integrating digital twin for a …

Human trafficking is a severe problem worldwide and social media platforms have emerged
as a potential tool to detect and prevent this crime. Machine learning (ML) algorithms have …

Human trafficking is a severe problem worldwide and social media platforms have emerged
as a potential tool to detect and prevent this crime. Machine learning (ML) algorithms have …

This paper deals with the application of Artificial Intelligence (AI) based software solutions to
the quality assurance in manufacturing of the printed circuit boards (PCBs). We have used …