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1. Spectral reconstruction using neural networks in filter-array-based chip-size spectrometers NSTL国家科技图书文献中心

Julio Wissing |  Lidia Fargueta... -  《Technisches Messen》 - 2024,91(12) - 649~657 - 共9页

摘要:Spectral reconstruction in filter-based miniature spectrometers remains challenging due to the ill-posed nature of identifying stable solutions. Even minor deviations in sensor data can cause misleadi...
关键词: Optical sensors |  Machine learning |  Spectral reconstruction

2. A data driven correction algorithm for inverse problems with application to spectral reconstruction NSTL国家科技图书文献中心

Jonathan Laubmann |  Stefan Saloman... -  《2024 IEEE Sensors,Vol.3》 -  IEEE Sensors - 2024, - 1637~1640 - 共4页

摘要:Plasmonic filter arrays offer a potential solution for creating compact and cost-effective spectrometers. However, they cannot filter accurately at specific wavelengths, resulting in raw outputs that ...
关键词: Inverse problem |  Plasmonic filter array |  Chip-Size spectrometer |  Spectral reconstruction |  Transformation correction

3. SPECTRE: A Dataset for Spectral Reconstruction on Chip-Size Spectrometers With a Physics-Informed Augmentation Method NSTL国家科技图书文献中心

Julio Wissing |  Teresa Scholz... -  《2024 IEEE Sensors,Vol.1》 -  IEEE Sensors - 2024, - 490~493 - 共4页

摘要:Reconstructing usable spectra from an array of optical filters has been central to miniature spectrometers for many years. However, as optical sensors become more suitable for low-cost applications by...
关键词: Optical sensors |  Machine learning |  Artificial intelligence |  Spectral reconstruction |  Data augmentation

4. Boosting Energy Efficient Machine Learning in Smart Sensor Systems NSTL国家科技图书文献中心

Julio Wissing |  Stephan Scheele -  《Sensor and Measurement Science International: SMSI 2023, Nuremberg, Germany, 8-11 May 2023》 -  Sensor and Measurement Science International (Conference) - 2023, - 53~54 - 共2页

摘要:Smart intelligent sensor systems are key for many application areas in the domain of ubiquitous computing like embedded autonomous systems, wireless sensor networks, internet of things and wearables. ...
关键词: Smart sensor systems |  Machine-Learning |  Energy efficiency |  Hierarchical machine-Learning |  Industry 4.0

7. Flexible Low-Power KI-Beschleuniger NSTL国家科技图书文献中心

Matthias Volker |  Roland Muller... -  《Energieautonome Sensorsysteme 2022: EASS, Beitrage der 11. GMM-Fachtagung, 5-6 Juli 2022 in Erfurt》 -  GMM-Fachtagung Energieautonome Sensorsysteme - 2022, - 73~76 - 共4页

摘要:Drahtlose, vernetzte Sensoren dringen in eine Vielzahl von Anwendungsbereichen vor. Wahrend Betriebszeiten von 2 Tagen bis 6 Monaten im Consumer-Bereich oft akzeptiert sind, stellen Business- und Indu...
检索条件作者:Julio Wissing

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