This paper reviews big data and Internet of Things (IoT)-based applications in smart
environments. The aim is to identify key areas of application, current trends, data …

With the rise of big data, the quality of datasets has become a crucial factor affecting the
performance of machine learning models. High-quality datasets are essential for the …

Future smart cities are the key to fulfilling the ever-growing demands of citizens. Information
and communication advancements will empower better administration of accessible …

The rise of the Internet of Things allowed higher spatial–temporal resolution soil moisture
data captured through in situ sensing. Such abundance of data enables machine learning …

Computing technologies perform a vital role in the transformation of contemporary financial
services. The emergence of financial technology (fintech) in recent years has transformed …

Importance The lack of data quality frameworks to guide the development of artificial
intelligence (AI)-ready data sets limits their usefulness for machine learning (ML) research in …

Veracity is a critical dimension of Big Data, as it is related to the quality of data. Its role is
even more important when Big Data are supposed to be a counterpart or a substitute of …

Recent years have seen a growing involvement of researchers and practitioners in crafting
Deep Neural Networks (DNNs) that seem to outperform existing machine learning …

Precision irrigation plays an important socio-economic and environmental role in our
society, reducing water and electricity consumption and increasing food production. An …

The current study investigates and prioritizes 17 determinants of big data adoption (BDA)
and establishes causality between these determinants' and firms' performance in the tourism …