Now showing items 1-2 of 2

    • It diagnostics of parkinson's disease based on voice markers and decreased motor activity 

      Vishniakou, U. А.; Yiwei, X. (БНТУ, 2023)
      The objectives of the article to propose the method for complex recognition of Parkinson's disease using machine learning, based on markers of voice analysis and changes in patient movements on known data sets. The time-frequency function, (the wavelet function) and the Meyer kepstral coefficient function are used. The KNN algorithm and the algorithm of a two-layer neural network ...
      2024-01-19
    • Methodics and tools of cough sound processing on basic of neural net 

      Vishniakou, U. А.; Shaya, B. H. (БНТУ, 2023)
      The purpose of the article is to analyze the methods and means of processing cough sounds to detect lung diseases, as well as to describe the developed system for classifying and detecting cough sounds based on a deep neural network. Four types of machine learning and the use of convolutional neural network (CNN) are considered. Hypermarkets of CNN are given. Varieties of machine ...
      2023-07-19