Abstract Machine learning has been the corner stone in analysing and extracting information
from data and often a problem of missing values is encountered. Missing values occur …

The concept of a digital twin of Earth envisages the convergence of Big Earth Data with
physics-based models in an interactive computational framework that enables monitoring …

Data sharing is one of the cornerstones of modern science that enables large-scale
analyses and reproducibility. We evaluated data availability in research articles across nine …

We are living in an era of big data, where the process of generating data is continuously
been taking place with each coming second. Data that is more varied and extremely …

Taking three recent business books on artificial intelligence (AI) as a starting point, we
explore the automation and augmentation concepts in the management domain. Whereas …

Aridity, which is increasing worldwide because of climate change, affects the structure and
functioning of dryland ecosystems. Whether aridification leads to gradual (versus abrupt) …

Cities are increasingly turning towards specialized technologies to address issues related to
society, ecology, morphology and many others. The emerging concept of Smart Cities highly …

In machine learning, the model is not as complicated as possible. Good generalization
ability means that the model not only performs well on the training data set, but also can …

The Big Data revolution promises to transform how we live, work, and think by enabling
process optimization, empowering insight discovery and improving decision making. The …

This paper investigates big data analytics research and application in supply chain
management between 2010 and 2016 and provides insights to industries. In recent years …