Machine learning, applied to chemical and materials data, is transforming the field of
materials discovery and design, yet significant work is still required to fully take advantage of …

As the complexity and heterogeneity of a system grows, the challenge of specifying,
documenting and synthesizing correct, machine-readable designs increases dramatically …

Abstract In Software Product Line (SPL) engineering one uses Variability Models (VMs) as
input to automated reasoners to generate optimal products according to certain Quality …

The dawn of multi-model data has brought many challenges to most aspects of data
management. In addition, no standards exist focusing on how the models should be …

The support for multi-model data has become a standard for most of the existing DBMSs.
However, the step from a conceptual (eg, ER or UML) schema to a logical multi-model …

While the vision of accelerating materials discovery using data driven methods is well-
founded, practical realization has been throttled due to challenges in data generation …

The softwarisation and virtualisation of network functionality is the last milestone in the
networking industry. Software-Defined Networks (SDN) and Network Function Virtualization …

Rank-based linkage is a new tool for summarizing a collection $ S $ of objects according to
their relationships. These objects are not mapped to vectors, and``similarity''between objects …

Laser powder bed fusion (LPBF) is a promising metal additive manufacturing technology for
producing functional components. However, there are still a lot of obstacles to overcome …

Applications capable of integrating data from historical and streaming sources can make the
most contextualized and enriched decision-making. However, the complexity of data …