Mobile and wearable devices embedded with multiple sensors for health monitoring and
disease diagnosis are growing fields with the potential to provide efficient means for remote …

Big Data Analytics (BDA) has garnered significant attention in both academia and industries,
particularly in sectors such as healthcare, owing to the exponential growth of data and …

In recent years, the intersection of finance and sustainability has garnered significant
attention as the global community grapples with the urgent need to address environmental …

Drawing on the dynamic capabilities theory and Big Data Analytics (BDA) literature, this
study aims to develop a novel framework, exploring to what extent BDA impacts …

Abstract Hydrogen-enabled Integrated Energy Systems (H-IES) stand out as a promising
solution with the potential to replace current non-renewable energy systems. However, their …

With the transformation and upgrading of the manufacturing industry, manufacturing systems
have become increasingly complex in terms of the structural functionality, process flows …

This study presents a novel approach to identifying trolls and toxic content on social media
using deep learning. We developed a machine-learning model capable of detecting toxic …

Big Data (ie, social big data, vehicular big data, healthcare big data etc) points to massive
and complex data, that require special technologies and approaches for storage …

In this review, we discuss the data-driven systems and their effects on the implementation of
the inventory theory. After overviewing the theory briefly, we group the data-driven …

Educational big data analytics and computational intelligence have transformed our
understanding of learning ability and computing power, catalyzing the emergence of …