Modern trends and applications of intelligent methods in biomedical signal and image processing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F21%3A10247209" target="_blank" >RIV/61989100:27240/21:10247209 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/1424-8220/21/3/847" target="_blank" >https://www.mdpi.com/1424-8220/21/3/847</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/s21030847" target="_blank" >10.3390/s21030847</a>
Alternative languages
Result language
angličtina
Original language name
Modern trends and applications of intelligent methods in biomedical signal and image processing
Original language description
The Special Issue "Modern Trends and Applications of Intelligent Methods in Biomedical Signal and Image Processing" is aimed at the new proposals and intelligent solutions that constitute the state of the art of the intelligent methods for biomedical data processing from selected areas of signal and image processing. This Special Issue brings together research works from various fields that are related to the area of biomedical engineering to describe the recent trends and advances in this area.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Sensors. Vol. 21
ISSN
1424-8220
e-ISSN
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Volume of the periodical
21
Issue of the periodical within the volume
3
Country of publishing house
CH - SWITZERLAND
Number of pages
4
Pages from-to
1-4
UT code for WoS article
000615487100001
EID of the result in the Scopus database
2-s2.0-85099813178