Adaptive Filters Detection of State Change in Pseudonomas Putida Cultivation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F22%3A43925439" target="_blank" >RIV/60461373:22340/22:43925439 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-031-09073-8_45" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-09073-8_45</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-09073-8_45" target="_blank" >10.1007/978-3-031-09073-8_45</a>
Alternative languages
Result language
angličtina
Original language name
Adaptive Filters Detection of State Change in Pseudonomas Putida Cultivation
Original language description
This article presents a case study of adaptive novelty detection methods used for detection of fermentation process state change. The evaluated methods utilizing Normalized Least Mean Squares and Generalized Normalized Gradient Descent adaptive filters are Learning Entropy and Error and Learning Based Novelty Detection. Usability of these methods is presented on two case studies with cultivation of Pseudonomas Putida KT2442 yeast. Results for all combinations of adaptive filters and novelty detection methods are evaluated and presented.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Software Engineering Perspectives in Systems, Proceedings of 11th Computer Science On-line Conference 2022, Vol. 1
ISBN
978-3-031-09069-1
ISSN
2367-3370
e-ISSN
2367-3389
Number of pages
10
Pages from-to
519-527
Publisher name
Springer
Place of publication
New York
Event location
online
Event date
Apr 26, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000892638700045