Groundwater is a crucial resource across agricultural, civil, and industrial sectors. The
prediction of groundwater pollution due to various chemical components is vital for planning …

Abstract Machine learning (ML) pervades an increasing number of academic disciplines and
industries. Its impact is profound, and several fields have been fundamentally altered by it …

High-entropy alloys (HEAs) have been receiving intensive attention due to their unusual
properties that largely depend on the selection among three phases: solid solution (SS) …

Landslide susceptibility prediction (LSP) has been widely and effectively implemented by
machine learning (ML) models based on remote sensing (RS) images and Geographic …

The current standard model of cosmology successfully describes a variety of measurements,
but the nature of its main ingredients, dark matter and dark energy, remains unknown. is a …

Artificial neural networks (ANN) have been applied effectively in numerous fields for the aim
of prediction, knowledge discovery, classification, time series analysis, modeling, etc. ANN …

Cities form the heart of a dynamic society. In an open space-economy cities have to mobilize
all of their resources to remain attractive and competitive. Smart cities depend on creative …

The rapid mining activities of mica mines in Giridih district, India, have led to toxic metal
pollution of agricultural soil. This is a key concern for environmental risk and human health …

A bewildering variety of methods for analysing sleep EEG signals can be found in the
literature. This article provides an overview of these methods and offers guidelines for …

In this chapter, the human brainstorming process is modeled, based on which two versions
of a Brain Storm Optimization (BSO) algorithm are introduced. Simulation results show that …