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Showing results 60 to 79 of 81 < previous   next >
Issue DateTitleInvolved Person(s)
2015PANOPTES : automated article segmentation of newspaper pages for "Real Time Print Media Monitoring“Arnold, Marek; Cieliebak, Mark; Stadelmann, Thilo; Stampfli, Jan; Uzdilli, Fatih
28-Oct-2022Physics informed deep learning for tracker fault detection in photovoltaic power plantsZgraggen, Jannik; Guo, Yuyan; Notaristefano, Antonio; Goren Huber, Lilach
Jun-2023Physics-informed machine learning for predictive maintenance : applied use-casesGoren Huber, Lilach; Palmé, Thomas; Arias Chao, Manuel
21-Oct-2021Predictive maintenance : an autoencoder anomaly-based approach for a 3 DoF delta robotFathi, Kiavash; van de Venn, Hans Wernher; Honegger, Marcel
Jun-2022Predictive Maintenance mit Physics-Informed-Deep-Learning : Anwendungsfall PhotovoltaikanlagenGoren Huber, Lilach; Notaristefano, Antonio
2021Probabilistic short-term low-voltage load forecasting using bernstein-polynomial normalizing flowsArpogaus, Marcel; Voss, Marcus; Sick, Beate; Nigge-Uricher, Mark; Dürr, Oliver
7-Apr-2024Rapid optical cytology with deep learning-based cell segmentation for diagnosis of thyroid lesionsJermain, Peter R.; Oswald, Martin; Langdun, Tenzin; Wright, Santana; Khan, Ashraf, et al
2024Real world music object recognitionTuggener, Lukas; Emberger, Raphael; Ghosh, Adhiraj; Sager, Pascal; Satyawan, Yvan Putra, et al
Nov-2023Robust drone detection and classification from radio frequency signals using convolutional neural networksGlüge, Stefan; Nyfeler, Matthias; Ramagnano, Nicola; Horn, Claus; Schüpbach, Christof
1-Nov-2022Scalable deployment of deep learning algorithms for predictive maintenance in commercial machine fleets : bridging the research-industry gapGoren Huber, Lilach
2022Scaling-up deep learning based predictive maintenance for commercial machine fleets : a case studyUlmer, Markus; Zgraggen, Jannik; Pizza, Gianmarco; Goren Huber, Lilach
23-Jun-2022Security and safety aspects of AI in industry applicationsDoran, Hans Dermot
2016Single-cell phenotype classification using deep convolutional neural networksDürr, Oliver; Sick, Beate
2016Speaker identification and clustering using convolutional neural networksLukic, Yanick; Vogt, Carlo; Dürr, Oliver; Stadelmann, Thilo
2020Survey on evaluation methods for dialogue systemsDeriu, Jan Milan; Rodrigo, Alvaro; Otegi, Arantxa; Echegoyen, Guillermo; Rosset, Sophie, et al
2022Systematic development of extraction methods for quantitative microplastics analysis in soils using metal-doped plasticsTophinke, Alissa H.; Joshi, Akshay; Baier, Urs; Hufenus, Rudolf; Mitrano, Denise M.
29-Jun-2021Transfer learning approaches for wind turbine fault detection using deep learningZgraggen, Jannik; Ulmer, Markus; Jarlskog, Eskil; Pizza, Gianmarco; Goren Huber, Lilach
Jul-2023Transforming NMR spectroscopy : extraction of multiplet parameters with deep learningSchmid, Nicolas; Fischetti, Giulia; Henrici, Andreas; Wilhelm, Dirk; Wanner, Marc, et al
4-Jul-2022Uncertainty informed anomaly scores with deep learning : robust fault detection with limited dataZgraggen, Jannik; Pizza, Gianmarco; Goren Huber, Lilach
Jul-2023Uncertainty quantification for reliable automatic multiplet classification in 1H NMR spectraFischetti, Giulia; Schmid, Nicolas; Henrici, Andreas; Wilhelm, Dirk; Bruderer, Simon, et al
Showing results 60 to 79 of 81 < previous   next >