Comparison of Two Classification Methods Trained with FD-FLIM Data to Identify and Distinguish Plastics from Environmental Materials

Author:

Wohlschläger Maximilian1,Leiter Nina1,Dietlmeier 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

Reference15 articles.

1. A Probabilistic Interpretation of Precision, Recall and F-Score, with Implication for Evaluation;goutte;Advances in Information Retrieval ECIR 2005 Lecture Notes in Computer Science,2005

2. Modulated CMOS camera for fluorescence lifetime microscopy

3. Scikit-learn: Machine Learning in Python;pedregosa;Journal of Machine Learning Research,2011

4. A novel approach to optically detect microplastic in an environmental matrix with Rapid-FLIM;wohlschlaeger;THE 21TH SENSER SYMPOSIUM,2022

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