Near-infrared spectroscopy (NIRS) is a fast and non-destructive analytical method.
Associated with chemometrics, it becomes a powerful tool for the pharmaceutical industry …

In food processing, the applications of ultrasound can be divided into two categories, namely
replacing traditional technologies and assisting traditional technologies. In the latter case …

Wind speed forecasting plays an important role in the stable operation of wind energy power
systems. However, accurate and reliable wind speed forecasting faces four challenges: how …

In this paper, a modified EMD-FNN model (empirical mode decomposition (EMD) based
feed-forward neural network (FNN) ensemble learning paradigm) is proposed for wind …

Because of the chaotic nature and intrinsic complexity of wind speed, it is difficult to describe
the moving tendency of wind speed and accurately forecast it. In our study, a novel EMD …

Electricity demand forecasting, as a vital tool in the electricity market, plays a critical role in
power utilities, which can not only reduce production costs but also save energy resources …

To raise the wind speed prediction accuracy, Wavelet Transform (WT) is widely employed to
disaggregate an original wind speed series into several sub series before forecasting …

A two-stage gasification has been proven as an effective and robust approach for converting
low-valued and/or highly heterogeneous materials ie waste, into hydrogen and/or syngas …

In this paper, a feedforward Artificial Neural Network (ANN) technique using experimental
data is designed for predicting the maximum power point of a photovoltaic array. An ANN …

This paper proposes a noninvasive dual optical photoplethysmography (PPG) sensor to
classify the degree of arteriovenous fistula (AVF) stenosis in hemodialysis (HD) patients …