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 …

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 …

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 …

The strategic importance of data in decision-making is increasingly recognized, demanding
efficient solutions such as data catalogs to ensure data governance and emphasize data …

The development of the Industrial Internet will generate a large amount of valuable data,
known as industrial big data (IBD). By mining and utilizing IBD, enterprises can improve …

Data is one of the most valuable assets in the digital era because it may conceal hidden
valuable insights. Diverse organizations in diverse domains overcome the challenges of the …