The Generation and Application of Synthetic Photoacoustic Absorption Spectra for Machine Learning
- Weitere Titel
-
Die Erzeugung und Nutzung Synthetischer Photoakustischer Spektren für das Maschinelle Lernen
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
München, Technische Universität München, Dissertation, 2024
- Schlagwort
-
Maschinelles Lernen
Infrarotspektroskopie
- Ereignis
-
Veröffentlichung
- (wo)
-
München
- (wer)
-
Universitätsbibliothek der TU München
- (wann)
-
2024
- Urheber
-
Moser, Elisabeth Barbara
- Beteiligte Personen und Organisationen
- URN
-
urn:nbn:de:bvb:91-diss-20240516-1721404-1-8
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:53 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Moser, Elisabeth Barbara
- Jenko, Frank
- Bierl, Rudolf
- Groh, Georg
- Universitätsbibliothek der TU München
Entstanden
- 2024
Ähnliche Objekte (12)
Determination of the Optical Absorption Coefficient Spectra of Thin Semiconductor Layers from Their Photoacoustic Spectra
Action and absorption spectra in diatoms
The Four-Wavelength Photoacoustic Aerosol Absorption Spectrometer PAAS-4λ
Evaluating biases in filter-based aerosol absorption measurements using photoacoustic spectroscopy
Evaluating biases in filter-based aerosol absorption measurements using photoacoustic spectroscopy
QM/MM benchmarking of cyanobacteriochrome Slr1393g3 absorption spectra
Absorption and photoconductivity spectra of amorphous multilayer structures
The four-wavelength Photoacoustic Aerosol Absorption Spectrometer (PAAS-4<italic>λ</italic>)
On the accuracy of aerosol photoacoustic spectrometer calibrations using absorption by ozone
On the accuracy of aerosol photoacoustic spectrometer calibrations using absorption by ozone
Correcting for filter-based aerosol light absorption biases at ARM’s SGP site using Photoacoustic data and Machine Learning
Rapid quantitative analysis of IR absorption spectra for trace gas detection by artificial neural networks trained with synthetic data
Determination of the Optical Absorption Coefficient Spectra of Thin Semiconductor Layers from Their Photoacoustic Spectra
Action and absorption spectra in diatoms
The Four-Wavelength Photoacoustic Aerosol Absorption Spectrometer PAAS-4λ
Evaluating biases in filter-based aerosol absorption measurements using photoacoustic spectroscopy
Evaluating biases in filter-based aerosol absorption measurements using photoacoustic spectroscopy
QM/MM benchmarking of cyanobacteriochrome Slr1393g3 absorption spectra
Absorption and photoconductivity spectra of amorphous multilayer structures
The four-wavelength Photoacoustic Aerosol Absorption Spectrometer (PAAS-4<italic>λ</italic>)
On the accuracy of aerosol photoacoustic spectrometer calibrations using absorption by ozone
On the accuracy of aerosol photoacoustic spectrometer calibrations using absorption by ozone
Correcting for filter-based aerosol light absorption biases at ARM’s SGP site using Photoacoustic data and Machine Learning
Rapid quantitative analysis of IR absorption spectra for trace gas detection by artificial neural networks trained with synthetic data
Determination of the Optical Absorption Coefficient Spectra of Thin Semiconductor Layers from Their Photoacoustic Spectra
Action and absorption spectra in diatoms
The Four-Wavelength Photoacoustic Aerosol Absorption Spectrometer PAAS-4λ
Evaluating biases in filter-based aerosol absorption measurements using photoacoustic spectroscopy
Evaluating biases in filter-based aerosol absorption measurements using photoacoustic spectroscopy
QM/MM benchmarking of cyanobacteriochrome Slr1393g3 absorption spectra
Absorption and photoconductivity spectra of amorphous multilayer structures
The four-wavelength Photoacoustic Aerosol Absorption Spectrometer (PAAS-4<italic>λ</italic>)
On the accuracy of aerosol photoacoustic spectrometer calibrations using absorption by ozone
On the accuracy of aerosol photoacoustic spectrometer calibrations using absorption by ozone
Correcting for filter-based aerosol light absorption biases at ARM’s SGP site using Photoacoustic data and Machine Learning