Development of a Neural Network for Automatic Classification of Post-Consumer Wood Using Rapid-FLIM-Reference-Cited by-同舟云学术

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Development of a Neural Network for Automatic Classification of Post-Consumer Wood Using Rapid-FLIM

Published:2023-07-18 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Sensors Applications Symposium (SAS)
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Author:

Leiter Nina¹,Dietlmeier Maximilian¹,Wohlschläger Maximilian¹,Löder Martin G.J.²,Versen Martin¹,Laforsch Christian²

Affiliation:

1. Technical University of Applied Sciences Rosenheim,Faculty of Engineering Sciences,Rosenheim,Germany

2. University Bayreuth,Faculty of Biology, Chemistry, and Earth Sciences,Bayreuth,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10253663/10253664/10254174.pdf?arnumber=10254174

Reference10 articles.

1. Klassifizierung von Altholz durch FD-FLIM Bilder mit neuronalen Netzen

2. An algorithmic method for the identification of wood species and the classification of post-consumer wood using fluorescence lifetime imaging microscopy

3. Rohstoffmonitoring Holz: MengenmaBige Erfassung und Bilanzierung der Holzverwendung in Deutschland: Verbundvorhaben Rohstoffmonitoring Holz: gefördert durch: Bundesministerium für Ernährung und Landwirtschaft;mantau;Fachagentur Nachwachsende Rohstoffe Gülzow-Prüzcn,2018

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1. Common operational issues and possible solutions for sustainable biosurfactant production from lignocellulosic feedstock;Environmental Research;2024-06

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