To resolve the conflict between our desire for a good smoothing effect and desire to give
additional weight to the recent change, a grey accumulating generation operator that can …

Insulated gate bipolar transistor (IGBT) is one of the most crucial and fragile components in
an electronic system. The remaining useful life (RUL) prediction of IGBTs can precisely …

The focus of this paper is on application of advance data analytics and deep machine
learning methods for time series forecasting of injection/production data from subsurface …

The problem of distinguishing combined failures in technical diagnostics is still a very
difficult research issue and a scientific challenge. This paper presents an investigation into a …

In this paper, a new hybrid method based on teacher learning algorithm (TLA) and artificial
neural network (ANN) is proposed to develop an accurate model to investigate short-term …

This paper presents a model for very short‐term load forecasting (VSTLF) based on
algebraic prediction (AP) using a modified concept of the Hankel rank of a sequence …

An algebraic approach for the selection of weight coefficients for weighted moving averaging
is proposed in this paper. The algebraic complexity of the sequence transformed by …

A new algebraic forecasting method with internal smoothing is proposed for short-term time
series prediction. The concept of the H-rank of a sequence is exploited for the detection of a …

Short-term time series algebraic prediction technique with mixed smoothing is presented in
this paper. Evolutionary algorithms are employed for the identification of a near-optimal …

Algebraic segmentation of short nonstationary time series is presented in this paper. The
proposed algorithm is based on the algebraic one step-forward predictor which is used to …