Industrial products typically lack defects in smart manufacturing systems, which leads to an
extremely imbalanced task of recognizing surface defects. With this imbalanced sample …

With the development of industry, more and more crucial mechanical machinery generate
wildness demand of effective fault diagnosis to ensure the safe operation. Over the past few …

While attracting increasing research attention in science and technology, Machine Learning
(ML) is playing a critical role in the digitalization of manufacturing operations towards …

Intelligent fault diagnosis, detection, and prognostics (DDP) for complex equipment
prognostics and health management (PHM) have achieved remarkable breakthroughs …

Mechanical system fault diagnosis is essential to save costs and ensure safety. Generally,
rotating machinery operates in nonstationary cases, which makes fault features complex and …

Neurodegenerative diseases and neurodevelopmental disorders have become increasingly
prevalent; however, the development of new pharmaceuticals to treat these diseases has …

With the remarkable success of generative models like ChatGPT, Artificial Intelligence
Generated Content (AIGC) is undergoing explosive development. Not limited to text and …

As a key issue of inventory management for enterprise after-sales service, safety stock is
dedicated to ensuring maintenance reliability while keeping low inventory cost. Existing …

Neural network applications, as an emerging machine learning technology, are increasingly
being integrated into pharmaceutical manufacturing technologies, offering significant …

In this manuscript, we present a comprehensive overview of true digital twin applications
within the manufacturing industry, specifically delving into advancements in sheet metal …