Real-world problems are commonly characterized by a high feature dimensionality, which
hinders the modelling and descriptive analysis of the data. However, some of these data …

Early warning systems (EWS) facilitate societies' preparedness and effective response
capabilities to climate risks. Climate risks embody hazards, exposure, and vulnerability …

Several classification methods in the task of electroencephalogram (EEG) classification
represent input features as symmetric positive definite (SPD) matrices. By translating the …

Big data is a large set of data that is analyzed with the calculation to manifest myriad
sources. Big data is capable of handling various challenges to processing huge amounts of …

In many fields, it is a common practice to collect large amounts of data characterized by a
high number of features. These datasets are at the core of modern applications of …

In information analysis and systematic extraction of complex or huge dataset, big data plays
a vital role. The massive growth of large-scale data causes a major issue in big data and …

This chapter provides a framework for monitoring of self-care activities in children with
physical and motor disabilities. It can be inferred from the above discussions that the …

Slime mould algorithm (SMA) is a novel meta-heuristic algorithm with fast convergence
speed and high convergence accuracy. However, it still has some drawbacks to be …

Protecting Internet of Things (IoT) networks from threats is becoming increasingly important
as these devices continue to grow in adoption. Modern and unseen attacks that require the …

This chapter summarizes fundamentals of numerical optimization. The material covered
here is not supposed to be a systematic and exhaustive presentation of the subject, but it …