Model Discrete Wavelet Transform for Clinical IoT Data and Device Interoperability

Публікація:
Model Discrete Wavelet Transform for Clinical IoT Data and Device Interoperability

dc.contributor.author	Bezruk, V. M.
dc.contributor.author	Krivenko, S. A.
dc.contributor.author	Samochernov, M. B.
dc.contributor.author	Kryvenko, L. S.
dc.contributor.author	Krivenko, S. S.
dc.date.accessioned	2022-10-28T14:14:55Z
dc.date.available	2022-10-28T14:14:55Z
dc.date.issued	2022
dc.description.abstract	The 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 Transform	uk_UA
dc.identifier.citation	Model 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.	uk_UA
dc.identifier.other	doi: 10.1109/TCSET55632.2022.9767044.
dc.identifier.uri	https://openarchive.nure.ua/handle/document/21067
dc.language.iso	en	uk_UA
dc.publisher	IEEE	uk_UA
dc.subject	Wavelet Transform	uk_UA
dc.subject	dental clinic	uk_UA
dc.subject	Internet of Things (IoT)	uk_UA
dc.subject	Clinical Internet of Things	uk_UA
dc.subject	Haar Transform	uk_UA
dc.title	Model Discrete Wavelet Transform for Clinical IoT Data and Device Interoperability	uk_UA
dc.type	Abstract of Thesis	uk_UA
dspace.entity.type	Publication