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Estimation of Fuel Cell Life Time Using Latent Variables in Regression Context.

, , , , , and . ICMLA, page 632-637. IEEE Computer Society, (2009)

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Univ. -Prof. Dr. Daniel Weiskopf University of Stuttgart

Dataset for "How Deep Is Your Gaze? Leveraging Distance in Image-Based Gaze Analysis", , , and . Dataset, (2024)Related to: Maurice Koch, Nelusa Pathmanathan, Daniel Weiskopf, and Kuno Kurzhals.2024. How Deep Is Your Gaze? Leveraging Distance in Image-Based GazeAnalysis. In 2024 Symposium on Eye Tracking Research and Applications(ETRA ’24), June 04–07, 2024, Glasgow, United Kingdom. ACM, New York,NY, USA, 7 pages. doi: 10.1145/3649902.3653349.
 

Other publications of authors with the same name

Simulation Model of a Military HEV With a Highly Redundant Architecture., , , , and . IEEE Trans. Vehicular Technology, 59 (6): 2654-2663 (2010)PEM fuel cell prognostics under variable load: A data-driven ensemble with new incremental learning., , , and . CoDIT, page 252-257. IEEE, (2016)Remaining Useful Life Prediction and Uncertainty Quantification of Proton Exchange Membrane Fuel Cell Under Variable Load., , , and . IEEE Trans. Industrial Electronics, 63 (4): 2569-2577 (2016)A survey-based type-2 fuzzy logic system for energy management in hybrid electrical vehicles., , , and . Inf. Sci., (2012)From Modeling to Control of a PEM Fuel Cell Using Energetic Macroscopic Representation., , , and . IEEE Trans. Industrial Electronics, 57 (6): 1882-1891 (2010)Short-Term Prognostics of PEM Fuel Cells: A Comparative and Improvement Study., , , and . IEEE Trans. Industrial Electronics, 66 (8): 6077-6086 (2019)Diagnosis for PEMFC Systems: A Data-Driven Approach With the Capabilities of Online Adaptation and Novel Fault Detection., , , and . IEEE Trans. Industrial Electronics, 62 (8): 5164-5174 (2015)Diagnosis of a commercial PEM fuel cell stack via incomplete spectra and fuzzy clustering., , , , , and . IECON, page 1595-1600. IEEE, (2013)Estimation of Fuel Cell Life Time Using Latent Variables in Regression Context., , , , , and . ICMLA, page 632-637. IEEE Computer Society, (2009)A New Modeling Approach of Embedded Fuel-Cell Power Generators Based on Artificial Neural Network., , , and . IEEE Trans. Industrial Electronics, 55 (1): 437-447 (2008)