Recent developments in renewable energy have highlighted the need for rational use of
wind energy. Accurate prediction of wind speed and wind power is recognized as an …

In this study, microwave irradiation-assisted transesterification was used to produce Ceiba
pentandra biodiesel, which accelerates the rate of reaction and temperature within a shorter …

Highlights•Biodiesel-bioethanol-diesel blends can be used in CI engines without
modifications.•K-ELM modelling facilitates in minimizing fuel consumption and exhaust …

Spiking neural P (SNP) systems are a class of distributed and parallel neural-like computing
models that are inspired by the mechanism of spiking neurons and are 3rd-generation …

As one of the most important energy resources, an accurate prediction for crude oil price can
effectively guarantee a rapid new production development with higher production quality …

Abstract Remaining Useful Life (RUL) prediction for aircraft engines based on the available
run-to-failure measurements of similar systems becomes more prevalent in Prognostic …

The growing internet concern (IC) over the crude oil market and related events influences
market trading, thus creating further instability within the oil market itself. We propose a …

Nonlinear spiking neural P (NSNP) systems are a recently developed theoretical model,
which is abstracted by nonlinear spiking mechanism of biological neurons. NSNP systems …

Multivariate chaotic time series prediction is a challenging task, especially when multiple
variables are predicted simultaneously. For multiple related prediction tasks typically require …

One of the most important applications of machine learning systems is the diagnosis of heart
disease which affect the lives of millions of people. Patients suffering from heart disease …