This study presents a literature review on the use of artificial neural networks in the
prediction of geo-mechanical properties of stabilised clays. In this paper, the application of …

Bridge bearings are critical components in bridge structures because they ensure the
normal functioning of bridges by accommodating the long‐term horizontal movements …

Faults in the power system affect the reliability, safety, and stability. Power-distribution
systems are familiar with the different faults that can damage the overall performance of the …

Wind is one of the most important natural resources from which we can generate power
through wind turbines, Presently the wind turbines may be small or large but the output …

Wind energy is one of the renewable energy sources like solar energy, and accurate wind
power prediction can help countries deploy wind farms at particular locations yielding more …

Critical micelle concentration (CMC) is an important factor to avoid the formation of micelles
from monomeric surfactant molecules. Trisodium citrate stabilized electroless Ni single bond …

For most ice–sloping structure interactions, the incoming ice floes' failures are determined by
the formation of circumferential cracks. This physical process can be simplified as analyzing …

This work presents an investigation into the use of swarm intelligence techniques for the
control of the doubly fed induction generator under unbalanced grid voltages. Swarm …

The study presents an intelligent data processing algorithm based on artificial neural
networks (ANN) and adaptive neuro-fuzzy inference systems (ANFIS) to predict the dynamic …

A large volume of data is being captured through the Phasor Measurement Unit (PMU),
which opens new opportunities and challenges to the study of transmission line faults. To be …