Weather forecasting has become an important field of research in the last few decades. In
most of the cases the researcher had attempted to establish a linear relationship between …

Classification problem is a decision making task where many researchers have been
working on. There are a number of techniques proposed to perform classification. Neural …

A neural networks based model have been used in predicting of the stock market. One of the
methods, as an intelligent data mining, is artificial neural network (ANN). In this paper …

In diagnosing the heart diseases, the beat classification of Electrocardiogram (ECG) plays a
vital role. This work proposes a good design of an expert system for classification of the …

Large sets of data have been accumulating in all aspects of our lives for a long time.
Advances in sensor technology, the Internet, social networks, wireless communication, and …

Recording of electrocardiogram (ECG) signals and the correlation to cardiovascular
diseases are a major problem in today's society. A common abnormality is arrhythmia, which …

Given the fact that people, especially in advanced countries, are living longer due to the
advancements in medical sciences which resulted in the prevalence of age-related diseases …

Data, at a very large scale, has been accumulating in all aspects of our lives for a long time.
Advances in sensor technology, the Internet, social networks, wireless communication, and …

This research presents the development of techniques to handle two issues in data
classification: noise and imbalanced data problems. Noise is a significant problem that can …

Condition monitoring (CM) of gearboxes is a necessary activity due to the crucial importance
of gearboxes in power transmission in most industrial applications. There has long been …