Digital twins are a promising technology for simulating complex systems, especially in the
smart grid domain. This paper offers a comprehensive literature review on digital twins …

Integrating a variety of disruptive information technologies and advanced manufacturing
technologies, intelligent manufacturing (IM) has been increasingly adopted by …

This paper presents a comprehensive literature review on the evolution of data-lake
technology, with a particular focus on data-lake architectures. By systematically examining …

Efficient big data management is a dire necessity to manage the exponential growth in data
generated by digital information systems to produce usable knowledge. Structured …

This paper introduces the Data Lakehouse Architecture, a transformative model in data
architecture that seamlessly integrates the analytical strengths of traditional data …

The amount of data in the maritime domain is rapidly increasing due to the increase in
devices that can collect marine information, such as sensors, buoys, ships, and satellites …

Data stored in information systems are often erroneous. Duplicate data are one of the typical
error type. To discover and handle duplicates, the so-called deduplication methods are …

This study delves into how artificial intelligence (AI) transforms working capital management
by addressing the limitations of traditional methods. The focus is to critically review research …

For years, data integration (DI) architectures evolved from those supporting virtual
integration, through physical integration, to those supporting both virtual and physical …

Purpose This paper aims to address the pressing challenges in research data management
within institutional repositories, focusing on the escalating volume, heterogeneity and multi …