Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Renata Wachowiak-Smolikova"'
Autor:
Renata Wachowiak-Smolikova, Haibin Zhu
Publikováno v:
IEEE Transactions on Computational Social Systems. 10:84-93
Publikováno v:
Computers and Electronics in Agriculture. 143:149-164
Agriculture in northern Ontario, Canada, has not yet reached the level of development of the southern regions of the province. In spite of the increasing desirability of the former region for agricultural expansion, northern agricultural producers
Autor:
Renata Wachowiak-Smolikova, James A. Rusak, Krystopher J. Chutko, Dan Walters, April L. James, Mark P. Wachowiak
Publikováno v:
International Journal of Data Science and Analytics. 5:99-110
In recognizing the cumulative effects of multiple stressors on altering aquatic ecosystem function, scientists have become increasingly interested in capturing high-frequency response variables using a variety of sensors. This practice has led to a d
Publikováno v:
EMBC
The analysis and interpretation of physiological signals acquired non-invasively are increasingly important in Smart Health, precision medicine, and medical research. However, this analysis is hampered due to the length, complexity, and inter-subject
Publikováno v:
2019 International Conference on Information and Digital Technologies (IDT).
Due to the length, complexity, and inter-subject variation of physiological signals acquired non-invasively, datadriven analysis is increasingly valuable in Smart Health, precision medicine, and in studying physiological dynamics. Knowledge discovery
Publikováno v:
2017 International Conference on Information and Digital Technologies (IDT).
Electrocardiogram (ECG) signals obtained during driving simulations provide an indication of physiological response during complex driving tasks. The present study contributes to the literature on this response through the analysis of features in tim
Publikováno v:
CCECE
Accelerated acquisition of long-term and longitudinal signals has motivated new approaches for processing and analysis. Topological data analysis (TDA) has recently been proposed for analyzing these large and complex data. TDA provides significant in
Autor:
Mark P. Wachowiak, Michel J. Johnson, Dean C. Hay, David J. DuVal, Renata Wachowiak-Smolikova
Publikováno v:
CCECE
Wavelet entropy is an analysis tool applicable to biomedical signals, including EEG and ECG. The current paper proposes an application of methods from visual analytics to time-frequency energy distribution in ECG signals, with the goal of studying he
Publikováno v:
PLoS ONE, Vol 11, Iss 11, p e0165527 (2016)
PLoS ONE
PLoS ONE
Media, and particularly TV media, have a great impact on the general public. In recent years, spatial patterns of information and the relevance of intangible geographies have become increasingly important. Gatekeeping plays a critical role in the sel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbb7637785f87155bc3f228beff1c301
http://hdl.handle.net/10084/116497
http://hdl.handle.net/10084/116497
Publikováno v:
Mathematical and Computational Approaches in Advancing Modern Science and Engineering ISBN: 9783319303772
Topological data analysis (TDA) is a new method for analyzing large, high-dimensional, heterogeneous, and noisy data that are characteristic of modern scientific and engineering applications. One major tool in TDA is persistent homology, wherein a fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fa259490687aeec0be1c90b5534effa
https://doi.org/10.1007/978-3-319-30379-6_22
https://doi.org/10.1007/978-3-319-30379-6_22