In contrast to the ongoing worldwide uncontrolled expansion of urban development resulting
in sprawled cities, compact cities have been argued by planners and researchers to be the …

While the use of big data tends to add value for business throughout the entire value chain,
the integration of big data analytics (BDA) to the decision-making process remains a …

Anecdotal evidence suggests that, despite the large variety of data, the huge volume of
generated data, and the fast velocity of obtaining data (ie, big data), quality of big data is far …

Purpose of the paper: The paper explores use of big data in innovation and market
leadership in B2B relationships. It provides a framework to analyze the impact of big data …

This paper presents a general framework for studying the digital innovation ecosystem. The
notion of complex networks offers a conceptual lens to analyze the emergence and …

Data-analytics technology can accelerate the innovation process by enabling existing
knowledge to be identified, accessed, combined, and deployed to address new problem …

The traditional databases are not capable of handling unstructured data and high volumes
of real-time datasets. Diverse datasets are unstructured lead to big data, and it is laborious …

A digital twin can be defined as an adaptive model of a complex physical system. Recent
advances in computational pipelines, multiphysics solvers, artificial intelligence, big data …

Big data represent a pioneering development in the field of agriculture. By producing
intuition, intelligence, and insights, these data have the potential to recast conventional …

This article reviews the current research on the development and implementation of
automated fault detection and diagnostics (AFDD) technology for building systems. This …