Abstract Topological Data Analysis (TDA) is a discipline that applies algebraic topology
techniques to analyze complex, multi-dimensional data. Although it is a relatively new field …

Over the past years, an increasing number of publications in information visualization,
especially within the field of visual analytics, have mentioned the term “embedding” when …

With the rapid accumulation of text data produced by data-driven techniques, the task of
extracting" data annotations"—concise, high-quality data summaries from unstructured raw …

As a consequence of the application advanced maintenance practices, the theoretical
probability of failures occurring is relatively low. However, observations of low levels of …

We present ManuKnowVis, the result of a design study, in which we contextualize data from
multiple knowledge repositories of a manufacturing process for battery modules used in …

Artificial Intelligence (AI) and especially Machine Learning (ML) are the driving energy
behind industrial and technological transformation. With the transition from industry 4.0 to …

Diffusion tensor imaging (DTI) has been used to study the effects of neurodegenerative
diseases on neural pathways, which may lead to more reliable and early diagnosis of these …

Identifying unique characteristics in a network through comparison with another network is
an essential network analysis task. For example, with networks of protein interactions …

Prognostics and health management (PHM) is a crucial enabler to reduce maintenance
costs and enhance the availability and reliability of manufacturing systems. In the context of …

The optimization of water distribution systems (WDSs) is vital to minimize energy costs
required for their operations. A principal approach taken by researchers is identifying an …