This paper presents a novel approach to induction motor current signature analysis based
on wavelet packet decomposition (WPD) of the stator current. The novelty of the proposed …

Internet is speeding up and modifying the manner in which daily tasks such as online shopping,
paying utility bills, watching new movies, communicating, etc., are accomplished. As an …

We present an algorithm for the online detection of rotor bar breakage in induction motors
through the use of wavelet packet decomposition (WPD) and neural networks. The system …

In this paper, we approach the problem of forecasting a time series (TS) of an electrical load
measured on the Azienda Comunale Energia e Ambiente (ACEA) power grid, the company …

Data granulation emerged as an important paradigm in modeling and computing with
uncertainty, exploiting information granules as the main mathematical constructs involved in the …

Retweeting or reposting a message is considered as an easily available information diffusion
mechanism provided by Twitter or any other social network sites. By finding out why a user …

Purpose: Currently, no clinical imaging modality is used routinely to assess tumor response
to cancer therapies within hours to days of the delivery of treatment. Here, the authors …

Bio-inspired algorithms like Genetic Algorithms and Fuzzy Inference Systems (FIS) are
nowadays widely adopted as hybrid techniques in improving goods and services. In this paper …

We approach the problem of forecasting the load of incoming calls in a cell of a mobile
network using Echo State Networks. With respect to previous approaches to the problem, we …

A large volume of data is steadily produced by the healthcare industry on daily basis. Data
mining and machine learning approaches are two effective techniques applicable for data …