Abstract Artificial Neural Networks (ANNs) are a type of machine learning algorithm inspired
by the structure and function of the human brain. In the context of supply chain management …

Process development in mechanical engineering encompasses a broad spectrum of
innovations, challenges, and opportunities that drive advancements in various industries …

As Industry 4.0 continues to transform the landscape of modern manufacturing, the
integration of intelligent robotic systems has emerged as a pivotal factor in enhancing …

The integration of Artificial Intelligence (AI) techniques in the optimization of steel moment
frame structures represents a transformative approach to enhance the design, analysis, and …

Artificial Intelligence (AI) algorithms can be employed to enhance the security of the
blockchain networks in the era of industry 4.0. Smart contracts, powered by blockchain, can …

Purpose This study is intended to introduce and summarise Industry 4.0 practices in BRICS
nations (the abbreviation “BRICS” is made up of the first letters of the member countries …

The primary aim of this study was to maximize the value of black grape pomace by
harnessing innovative and environmentally friendly extraction and hydrolysis technology on …

Digital twins need efficient methodologies to design maintenance strategies for decision-
making purposes. Recently, a methodology coupling computational simulation and …

Abstract The modern Industrial Revolution has ushered in a wave of technological
advancements, including the proliferation of over 20 billion digital identities associated with …

This paper puts forth a systematic approach for evaluating the maturity level of production
process automation in the context of digital transformation for manufacturing companies. The …