Maintenance is crucial for aircraft engines because of the demanding conditions to which
they are exposed during operation. A proper maintenance plan is essential for ensuring safe …

This paper proposes a novel energy consumption and power quality forecasting technique
based on the combination of poly-exponential (PE) and random forest (RF). This technique …

This work studies the automatic classification of water consumption patterns and electrical
devices, both supervised and unsupervised. This involves training machine learning …

This paper is the Part II of the series on parameter and state estimation using the Bayesian
inference for a thermal model of a synchronous generator. Part I is about Parameter …

The most difficult task in financial forecasting is the accurate price prediction based on
previous values. Two cases are studied: stock price prediction and flight price prediction. A …

This work describes a method for weighted least squares approximation of an unbounded
number of data points using a B-spline function. The method can shift the bounded B-spline …

The B-spline function representation is commonly used for data approximation and trajectory
definition, but filter-based methods for nonlinear weighted least squares (NWLS) …

Rolling bearings are an important part of rotary machines. They are used most widely in
various mechanical sectors, which are among the most vulnerable components in machines …

In this paper, a technique for analysis of emotions has been proposed considering subject
specific features based on EEG signal by employing LASSO regularization. Earlier most of …

Inspired by ideas in cognitive science and natural language processing, we propose a novel
and general approach to solving human motion understanding via pattern completion on a …