With the arrival of Industry 4.0, the overall transformation using digital integration and
intelligent engineering has taken a giant leap towards futuristic technology. All devices today …

Visual analytics for machine learning has recently evolved as one of the most exciting areas
in the field of visualization. To better identify which research topics are promising and to …

With the development of Industry 4.0 and the emergence of the smart factory concept, the
traditional philosophy of manufacturing systems will change. The smart factory introduces …

As an important stage of life cycle management, machinery PHM (prognostics and health
management), an emerging subject in mechanical engineering, has seen a huge amount of …

Assembly systems (ASs) have moved into the era of mass customisation and Industry 4.0 (I4.
0). Mass customisation involves a shift from the production of high quantities of the same …

Abstract Machine learning (ML) models are nowadays used in complex applications in
various domains, such as medicine, bioinformatics, and other sciences. Due to their black …

Event sequence data record series of discrete events in the time order of occurrence. They
are commonly observed in a variety of applications ranging from electronic health records to …

Among the many types of deep models, deep generative models (DGMs) provide a solution
to the important problem of unsupervised and semi-supervised learning. However, training …

During the last decade, we have witnessed steady movement of industry and academia
toward Industry 4.0. Industry 4.0 is a concept aimed at achieving the integration of physical …

In smart manufacturing, people are facing an increasing amount of industrial data derived
from various digitalized and connected sources in all kinds of formats. Analyzing and …