… Recognition of lung sounds is an important goal in pulmonary medicine. In this work, we …
–genetic algorithm approach intended to aid in lung sound classification. Lung sound was …

… Then, the proposed algorithm was used to verify its effectiveness by collecting the respiratory
sound signals of related diseases. The genetic algorithm could not only obtain the global …

… sounds generated by the human body. Thus, the aim of this study was to implement a pattern
recognition system to classify lung sounds. … Our results showed that the Genetic Algorithms …

… [46] focus on artificial intelligence technics; they combined neural network and genetic
algorithm for analysis of lung sounds. First, they selected complete respiratory cycles, on which a …

… to automate the study of sound. A technique that utilizes neural networks and genetic
algorithms to classify lung sounds is provided here. The lung sounds of people suffering from a …

… to automate the study of sound. A technique that utilizes neural networks and genetic
algorithms to classify lung sounds is provided here. The lung sounds of people suffering from a …

… Using this device, we recorded 17,930 lung sounds from 1630 subjects. … learning algorithms
and by classifying respiratory sounds. Our data consists of audio recordings of lung sounds …

… algorithms for the diagnosis of lung sound. This paper highlights the importance of machine
learning in computer-based lung sound … The work of Güler, who used genetic algorithm-…

… to the genetic algorithm. The most popular method, however, is a simple Picard iteration
through the first order conditions for fixed points (stationary) in the above equation, known as …

… Genetic algorithms and Fisher’s discriminant ratio are used to reduce dimensionality, and
for classification, k-NN, and naive Bayes classifiers are used to classify lung sound events in a …