Daniel Becker
Realtime Analysis of Large-Scale Data
Buch
In photon science more and more data are taken. It is not possible anymore to store and process all data offline. In this book, we explore strategies for handling this large amount of data. A neural network as well as techniques from image processing are used to efficiently categorize and select useful data. We also indicate why many sophisticated algorithms cannot be used in this context. In addition, a prototype for data selection is presented, discussed, and benchmarked.This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are reta…
Mehr
Beschreibung
In photon science more and more data are taken. It is not possible anymore to store and process all data offline. In this book, we explore strategies for handling this large amount of data. A neural network as well as techniques from image processing are used to efficiently categorize and select useful data. We also indicate why many sophisticated algorithms cannot be used in this context. In addition, a prototype for data selection is presented, discussed, and benchmarked.This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
CHF 96.00
Preise inkl. MwSt. und Versandkosten (Portofrei ab CHF 40.00)
V106:
Fremdlagertitel. Lieferzeit unbestimmt
Produktdetails
- ISBN: 978-1-01-328199-0
- EAN: 9781013281990
- Produktnummer: 35066602
- Verlag: Saint Philip Street Press
- Sprache: Englisch
- Erscheinungsjahr: 2020
- Seitenangabe: 122 S.
- Masse: H28.6 cm x B22.1 cm x D1.1 cm 590 g
- Abbildungen: HC gerader Rücken kaschiert
- Gewicht: 590
67 weitere Werke von Daniel Becker:
Ebook (PDF Format)
CHF 18.00
Ebook (EPUB Format)
CHF 14.20
Ebook (EPUB Format)
CHF 101.90
Ebook (EPUB Format)
CHF 5.00
Bewertungen
0 von 0 Bewertungen
Anmelden
Keine Bewertungen gefunden. Seien Sie der Erste und teilen Sie Ihre Erkenntnisse mit anderen.