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Published in 2021 at "Mobile Networks and Applications"
DOI: 10.1007/s11036-021-01810-9
Abstract: The application background of physiological signal research focuses on education and research in the fields of life sciences, clinical diagnosis and monitoring applications, and is an important content in the field of biomedical engineering. The…
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Keywords:
system;
signal data;
cloud computing;
signal ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3155879
Abstract: Backscatter communication is a promising technology in the hyper-connected era. Because of its ultra-low energy consumption, it can be used in various applications, but there are performance issues due to high uncertainty. We propose a…
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Keywords:
backscatter;
translation model;
model;
signal data ... See more keywords
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Published in 2022 at "PLOS ONE"
DOI: 10.1371/journal.pone.0277555
Abstract: The diagnosis of neurological diseases is one of the biggest challenges in modern medicine, which is a major issue at the moment. Electroencephalography (EEG) recordings is usually used to identify various neurological diseases. EEG produces…
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Keywords:
signal data;
time;
brain signal;
textural feature ... See more keywords
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Published in 2020 at "Sains Malaysiana"
DOI: 10.17576/jsm-2020-4909-02
Abstract: Analysis and modeling of a complex physical system, particularly EEG signals involved vague and uncertain information. The approach introduced by Kosanovic using temporal fuzzy set to model a complex system particularly the EEG signal does…
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Keywords:
signal data;
discrete number;
temporal discrete;
eeg signal ... See more keywords