Zobrazeno 1 - 10
of 923
pro vyhledávání: '"Schichtel, A."'
Autor:
Grünwald, G., Boller, Th., Rakshit, S., Buchner, J., Dauser, T., Freyberg, M., Liu, T., Salvato, M., Schichtel, A.
Publikováno v:
A&A 669, A37 (2023)
We present the first look at the spectral and timing analysis of Narrow-Line Seyfert 1 Galaxies (NLS1s) with the extended ROentgen Survey with an Imaging Telescope Array (eROSITA) on board the Spectrum-Roentgen-Gamma (SRG) mission. The sample of abou
Externí odkaz:
http://arxiv.org/abs/2211.06184
Autor:
Koochali, Alireza, Walch, Maria, Thota, Sankrutyayan, Schichtel, Peter, Dengel, Andreas, Ahmed, Sheraz
Generative models are designed to address the data scarcity problem. Even with the exploding amount of data, due to computational advancements, some applications (e.g., health care, weather forecast, fault detection) still suffer from data insufficie
Externí odkaz:
http://arxiv.org/abs/2210.07617
RPRP-SAP: A Robust and Precise ResNet Predictor for Steering Angle Prediction of Autonomous Vehicles
Publikováno v:
IEEE Access, Vol 12, Pp 21472-21490 (2024)
Steering angle controller is a core module of autonomous vehicles, where a slight miscalculation can cause severe accidents. Following safety precautions, development of robust and precise steering angle predictor is an active area of research. Howev
Externí odkaz:
https://doaj.org/article/e74facc6be7848fca1bde11f451bebc4
The recent developments in the machine learning domain have enabled the development of complex multivariate probabilistic forecasting models. Therefore, it is pivotal to have a precise evaluation method to gauge the performance and predictability pow
Externí odkaz:
http://arxiv.org/abs/2201.08671
Autor:
Malm, William C., Schichtel, Bret A., Prenni, Anthony J., Day, Derek, Andrews, Elisabeth, Perkins, Russel, Sullivan, Amy, Tigges, Mark
Publikováno v:
In Atmospheric Environment 15 February 2024 319
Akademický článek
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Akademický článek
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Autor:
Van Fossen, Tyler, Rupp, Cory, Hunt, Trevor, Schichtel, Jacob, Chattopadhyay, Aditi, Phan, Nam
Publikováno v:
In International Journal of Fatigue June 2023 171
Publikováno v:
EPL, 127 (2019) 61002
Cosmic rays interacting with the atmosphere allow for the probing of fundamental interactions at ultra-high energies. We thus obtain limits on strongly coupled new physics models via their imprints on cosmic-ray air showers. Using the Monte Carlo eve
Externí odkaz:
http://arxiv.org/abs/1906.09064
Time series forecasting is one of the challenging problems for humankind. Traditional forecasting methods using mean regression models have severe shortcomings in reflecting real-world fluctuations. While new probabilistic methods rush to rescue, the
Externí odkaz:
http://arxiv.org/abs/1903.12549