Bezruk, V. M.Krivenko, S. A.Samochernov, M. B.Kryvenko, L. S.Krivenko, S. S.2022-10-282022-10-282022Model Discrete Wavelet Transform for Clinical IoT Data and Device Interoperability / V. M. Bezruk, S. A. Krivenko, M. B. Samochernov, L. S. Kryvenko, S. S. Krivenko // 2022 IEEE 16th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET), 2022, pp. 64-69.doi: 10.1109/TCSET55632.2022.9767044.https://openarchive.nure.ua/handle/document/21067The structure of a Haar Transform dataset has been examined by using pandas for machine learning aims. Statistics have been viewed with pandas and Matplotlib. Correlation between features in a dataset has been improved ten times with Model Discrete Wavelet TransformenWavelet Transformdental clinicInternet of Things (IoT)Clinical Internet of ThingsHaar TransformAbstract of Thesis