Metal-organic frameworks (MOFs) have recently achieved much attention to eliminating toxic
pollutants because of their attractive attributes, including large specific surface area, ultra …

Epileptic seizures are one of the most crucial neurological disorders, and their early
diagnosis will help the clinicians to provide accurate treatment for the patients. The …

Researchers in the past have reported significant uncertainties involved in evaluating the
risk of soil liquefaction using deterministic approaches. Therefore, to improve the accuracy …

Recently, artificial intelligence (AI) methods have been widely welcomed due to the
weakness of traditional regression-based methods and their low accuracy in nonlinear …

Hydrogen storage using liquid organic hydrogen carriers (LOHCs) is a promising method.
The data sets for hydrogen storage using dibenzyltoluene (DBT) are considered in this …

The viability of thermal waste-to-energy (WTE) plants and its optimal performance have
informed intelligent predictive modelling of its significant variables critical to optimal energy …

Increasing economic and population growth has led to a rise in electricity consumption.
Consequently, electrical utility firms must have a proper energy management strategy in …

This study compares the performance of standalone adaptive neuro-fuzzy inference system
(ANFIS) and its hybrid with particle swarm optimisation (PSO) in predicting the energy …

Abstract The Internet of Things (IoT) has become a popular application in recent years.
However, it is the wireless communication mode. In such a scenario, the user would have to …

Air overpressure (AOp) induced by rock blasting is an undesirable phenomenon in open-pit
mines and civil construction works. The prediction of AOp has been always a complicated …