Multi-sensor data fusion method for water quality evaluation based on interval evidence theory

Autor: Jian ZHOU, Chen-hao MA, Lin-feng LIU, Li-juan SUN, Fu XIAO

Publikováno v: Tongxin xuebao, Vol 37, Pp 20-29 (2016)

For the inevitable uncertainty and random uncertainty in the process of measuring water quality data with the sensor network,a multi-sensor data fusion method for water quality evaluation based on interval evidence theory was proposed.Considering the

Externí odkaz: https://doaj.org/article/4b7921798adb4746bb9cab2d4c113622

A comparison between discrete and continuous time Bayesian networks in learning from clinical time series data with irregularity

Autor: Arjen Hommersom, Erik Bischoff, Fabio Stella, Peter J. F. Lucas, Lonneke M. Boer, Manxia Liu

Publikováno v: Liu, M, Stella, F, Hommersom, A, Lucas, P J F, Boer, L & Bischoff, E 2019, ' A comparison between discrete and continuous time Bayesian networks in learning from clinical time series data with irregularity ', Artificial Intelligence in Medicine, vol. 95, pp. 104-117 . https://doi.org/10.1016/j.artmed.2018.10.002
Artificial intelligence in medicine, 95, 104-117. Elsevier
Artificial Intelligence in Medicine, 95, 104-117. Elsevier
Artificial Intelligence in Medicine, 95, 104-117
Artificial Intelligence in Medicine, 95, pp. 104-117

Background:Recently, mobile devices, such as smartphones, have been introduced into healthcare research to substitute paper diaries as data-collection tools in the home environment. Such devices support collecting patient data at different time point

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab3550eee9ea61a78aa23896a069a537
https://doi.org/10.1016/j.artmed.2018.10.002

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