With the rapid advancement of sensor and network technology, there has been a notable
increase in the availability of condition-monitoring data such as vibration, temperature …

The quality level in manufacturing processes increasingly concerns manufacturing firms, as
they respond to pressures such as increasing complexity and variety of products, more …

This article explores the ways artificial intelligence (AI) may impact new venture processes,
practices and outcomes. We examine how such technology will augment and replace tasks …

The latest boom of artificial intelligence (AI) has left the information management community
in strong need of structure-providing, high-level overview works. Such works are supposed …

Additive manufacturing (AM) has been increasingly used in production. Because of its rapid
growth, the efficiency and robustness of AM-based product development processes should …

In this study, machine learning (ML) based methods are used to estimate rotor mechanical
speed of brushless direct current (BLDC) motors. Training performances of approaches such …

Artificial intelligence (AI) is said to incorporate enormous potential for reducing the
operational costs of car manufacturers and their suppliers all over the globe. Nevertheless …

Abstract Overhead Power Distribution Lines (OPDLs) correspond to a large percentage of
the medium-voltage electrical systems. In these networks, visual inspection activities are …

Building machine learning (ML) tools, or systems, for use in manufacturing environments is a
challenge that extends far beyond the understanding of the ML algorithm. Yet, these …

This paper proposes a blockchain-based decentralized collaborative learning method for
the Industrial Internet environment to solve the trust and security issues in Federated …