The aim of this paper is to provide an overview of the interrelationship between data science
and climate studies, as well as describes how sustainability climate issues can be managed …

Climatic changes have raises the concern worldwide and countries are conducting summits
to solve and prevent global warming. Information Technologies have been playing the great …

Abstract Information Technologies has been playing a great role in keeping the objectives of
preserving the environment and one of the techniques is to apply Green computing. Climatic …

Feature Selection (FS) is a crucial step in high-dimensional and big data analytics. It
mitigates thecurse of dimensionality'by removing redundant and irrelevant features. Most FS …

The rapid growth of information and communication technologies (ICTs) worldwide is
increasing the consumption of energy and raw materials at unprecedented levels. As a …

Feature selection (FS) is a fundamental big data task, improving classification performance
by selecting a relevant feature subset to mitigate thecurse of dimensionality'. As the number …

Feature selection is an important pre-processing, data mining, and knowledge discovery tool
for data analysis. By eliminating redundant and irrelevant features from high-dimensional …

E-waste is a mini catastrophe and a global threat to the overall anthropogenosphere. The
huge amount of e-waste is a result of technological advancement coupled with short …

Asset management requires a more sophisticated approach for sustainable data-driven
decision-making. Organisations operate in dynamic, interconnected and uncertain …

Utilization and exploration of mobile devices to enable mobile users to gain benefits of the
cloud computing paradigm by an environment-friendly method is an efficient strategy for …