Segmentation of Photoelectron Spectra Using Convolutional Neural Network | Sciact - CRIS-system of Boreskov Institute of Catalysis

Segmentation of Photoelectron Spectra Using Convolutional Neural Network Conference Abstracts

Conference

III International Conference «Synchrotron Radiation Techniques for Catalysts and Functional Materials»
11-14 Nov 2024 , Томск

Source

Synchrotron Radiation Techniques for Catalysts and Functional Materials, III International Conference, Abstracts
Compilation, BIC SB RAS. Novosibirsk.2024. 170 c. ISBN 978-5-906376-58-9. РИНЦ

Output data

Year: 2024, Article number : PP-57, Pages count : 1

Authors

Vakhrushev A.A. ^1,2 , Matveev A.V. ² , Nartova A.V. ^1,2

Affiliations

1	Boreskov Institute of Catalysis, Novosibirsk, Russia
2	Novosibirsk State University, Novosibirsk, Russia

Funding (1)

Russian Science Foundation

24-63-00037

Vakhrushev A.A. , Matveev A.V. , Nartova A.V.
Segmentation of Photoelectron Spectra Using Convolutional Neural Network
In compilation Synchrotron Radiation Techniques for Catalysts and Functional Materials, III International Conference, Abstracts. – BIC SB RAS., 2024. – C.140-141. – ISBN 978-5-906376-58-9. РИНЦ

Elibrary:

78061346

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