With the development of Internet of Things (IoT), 5 G, and cloud computing technologies, the
amount of data from manufacturing systems has been increasing rapidly. With massive …

Time-series prediction plays a crucial role in the Industrial Internet of Things (IIoT) to enable
intelligent process control, analysis, and management, such as complex equipment …

In recent times, big data classification has become a hot research topic in various domains,
such as healthcare, e-commerce, finance, etc. The inclusion of the feature selection process …

With the development of economic globalization and sustainable manufacturing, sustainable
scheduling of distributed manufacturing has attracted increasing concern. However …

New product development to enhance companies' competitiveness and reputation is one of
the leading activities in manufacturing. At present, achieving successful product design has …

As one of the most important modes of industrial production, the batch process often
involves complex and continuous physicochemical reactions, making it challenging to …

Abstract Machine learning algorithms in non-linear pattern recognition for defect detection in
manufacturing processes are increasingly prevalent in the context of Industry 4.0. This …

Big Data are highly effective for systematically extracting and analyzing massive data. It can
be useful to manage data proficiently over the conventional data handling approaches …

Wafer fabrication is a highly complex manufacturing system. Using complex network models
to portray the correlation between parameters is an effective tool for finding the key …

Wafer bin maps (WBMs) that exhibit systematic defect patterns provide clues for
identification of critical failures that occur during the wafer fabrication process. Proper …