Podrobno

Umetna inteligenca v bioinženirstvu
ID Levstek, Marcel (Avtor), ID Žnidaršič Plazl, Polona (Mentor) Več o mentorju... Povezava se odpre v novem oknu

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Izvleček
V času razcveta informacijske tehnologije in velike količine podatkov algoritmi strojnega učenja predstavljajo možno rešitev za številne inženirske izzive. Diplomsko delo vsebuje pregled osnov umetne inteligence in zadnjih prebojev pri njeni implementaciji v bioinženirstvu, ki zajema iskanje potencialnih zdravil, pripravo biokatalizatorjev, optimizacijo in avtomatizacijo reakcij ter industrijskih bioprocesov.

Jezik:Slovenski jezik
Ključne besede:bioinženirstvo, umetna inteligenca, strojno učenje, digitalni dvojčki, bioinformatika
Vrsta gradiva:Diplomsko delo/naloga
Tipologija:2.11 - Diplomsko delo
Organizacija:FKKT - Fakulteta za kemijo in kemijsko tehnologijo
Leto izida:2020
PID:20.500.12556/RUL-117372 Povezava se odpre v novem oknu
COBISS.SI-ID:22836483 Povezava se odpre v novem oknu
Datum objave v RUL:08.07.2020
Število ogledov:2665
Število prenosov:348
Metapodatki:XML DC-XML DC-RDF
:
LEVSTEK, Marcel, 2020, Umetna inteligenca v bioinženirstvu [na spletu]. Diplomsko delo. [Dostopano 5 junij 2025]. Pridobljeno s: https://repozitorij.uni-lj.si/IzpisGradiva.php?lang=slv&id=117372
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Sekundarni jezik

Jezik:Angleški jezik
Naslov:Artificial intelligence in bioengineering
Izvleček:
In the age of the information technology boom and big data, machine learning algorithms represent a possible solution to many engineering challenges. The diploma thesis includes a review of the basics of artificial intelligence and the latest breakthroughs in the implementation of it into bioengineering, including the search for potential drug candidates, preparation of biocatalysts, optimization and automation of reactions and industrial bioprocesses.

Ključne besede:bioengineering, artificial intelligence, machine learning, digital twins, bioinformatics

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