A digital twin (DT) refers to a digital replica of physical assets, processes, and systems. DTs
integrate artificial intelligence, machine learning, and data analytics to create living digital …

Abstract Globally, the Architecture Engineering Construction (AEC) industry has seen a rise
in the adoption of digital twin (DT) technologies due to their potential to enhance …

Data quality issues trace back their origin to the early days of computing. A wide range of
domainspecific techniques to assess and improve the quality of data exist in the literature …

The 2030 agenda for sustainable development has embraced the importance of sustainable
practices in the construction industry. Parallel to the Industry revolution 4.0, the construction …

The ETL (Extract-Transform-Load) processes are responsible for integrating data into a
place called datawarehouse. In the ETL phase, data are extracted from various sources …

In an Information technology world, the ability to effectively process massive datasets has
become integral to a broad range of scientific and other academic disciplines. We are living …

Purpose Big Data has become increasingly important to multiple facets of the accounting
profession, but accountants have little understanding of the steps necessary to convert Big …

As a new education product in the information age, Massive Open Online Courses (MOOCs)
command momentous public attention for their unexpected rise and flexible application …

It is common practice for data providers to include text descriptions for each column when
publishing data sets in the form of data dictionaries. While these documents are useful in …

The free movement of European citizens across member states of the European Union adds
an important level of complexity to strategic efforts of health interoperability. The use of …