Classification systems have been widely utilized in medical domain to explore patient’s data and extract a predictive model. This model helps physicians to improve their prognosis, diagnosis or treatment planning procedures. Diabetes disease diagnosis via proper interpretation of the diabetes data is an important classification problem. Most methods of classification either ignore feature analy...

In this study, a biomedical diagnosis system for pattern recognition with normal and abnormal classes has been developed. First, feature extraction processing was made by using the Doppler Ultrasound. During feature extraction stage, Wavelet transforms and shorttime Fourier transform were used. As next step, wavelet entropy were applied to these features. In the classification stage, hidden Mar...

2014 The peak power and the actual starting voltage of the N2 laser light pulses there have been studied, in relation to the pressure and the pulse repetition rate. The experimental results reveal that under proper conditions of pressure and pulse repetition rate, high peak power pulses are emitted. By comparing the theoretical and experimental results, there have been given explanations as far...

The purpose of this paper is to present a complete methodology based on a multidisciplinary approach, that goes from the extraction of features till the classification of a set of different portuguese granites. The set of tools to extract the features that characterise polished surfaces of the granites is mainly based on mathematical morphology. The classification methodology is based on a gene...