The estimation of long-term diabetes complications risk is essential in the process of medical
decision making. Guidelines for the management of Type 2 Diabetes Mellitus (T2DM) …

In this paper we propose a new method for combining simple classifiers through the
analogue Hopfield Neural Network (HNN) optimization paradigm for classifying natural …

Musical genre classification is put into context by explaining about the structures in music
and how it is analyzed and perceived by humans. The increase of the music databases on …

Abstract Type 2 Diabetes Mellitus (T2DM) is a common chronic disease that is caused due
to insulin discharge disorder. Due to the complication of T2DM, the outcomes of this disease …

During last decade, Microgrid has been an area of intense study. It also becomes more
important in Smart Grid (SG). Short-term load forecast (STLF) in Microgrid is an important …

This paper proposes a new classification method for Farsi handwritten word recognition
using a scale invariant gradient based features. The extracted feature vectors classified …

Bagging, AdaBoost and Arc-x4 are among the most popular methods for classifier
ensembles. All these methods rely on resampling techniques to generate different training …

This paper presents a new unsupervised hybrid classifier that combines several base
classifiers through a fuzzy multicriteria decision making (MCDM) approach. The base …

A new automatic hybrid classifier for natural images by combining two base classifiers
through the fuzzy cognitive maps (FCMs) approach is presented in this study. The base …

El control de malas hierbas en grandes extensiones de terreno resulta costoso ya veces
contaminante desde el punto de vista medioambiental. El avance en los últimos años de los …