Zobrazeno 1 - 10
of 2 057
pro vyhledávání: '"Sick, P."'
Traditionally, algorithms that learn to segment object instances in 2D images have heavily relied on large amounts of human-annotated data. Only recently, novel approaches have emerged tackling this problem in an unsupervised fashion. Generally, thes
Externí odkaz:
http://arxiv.org/abs/2411.16319
Autonomous systems, like vehicles or robots, require reliable, accurate, fast, resource-efficient, scalable, and low-latency trajectory predictions to get initial knowledge about future locations and movements of surrounding objects for safe human-ma
Externí odkaz:
http://arxiv.org/abs/2410.06905
Electrification of vehicles is a potential way of reducing fossil fuel usage and thus lessening environmental pollution. Electric Vehicles (EVs) of various types for different transport modes (including air, water, and land) are evolving. Moreover, d
Externí odkaz:
http://arxiv.org/abs/2409.11862
Autor:
Funke, Lars, Ilchen, Markus, Dingel, Kristina, Mazza, Tommaso, Mullins, Terence, Otto, Thorsten, Rivas, Daniel E., Savio, Sara, Serkez, Svitozar, Walter, Peter, Wieland, Niclas, Wülfing, Lasse, Bari, Sadia, Boll, Rebecca, Braune, Markus, Calegari, Francesca, De Fanis, Alberto, Decking, Winfried, Duensing, Andreas, Düsterer, Stefan, Egun, Felix, Ehresmann, Arno, Erk, Benjamin, de Lima, Danilo Enoque Ferreira, Galler, Andreas, Geloni, Gianluca, Grünert, Jan, Guetg, Marc, Grychtol, Patrik, Hans, Andreas, Held, Arne, Hindriksson, Ruda, Jahnke, Till, Laksman, Joakim, Larsson, Mats, Liu, Jia, Marangos, Jon P., Marder, Lutz, Meier, David, Meyer, Michael, Mirian, Najmeh, Ott, Christian, Passow, Christopher, Pfeifer, Thomas, Rupprecht, Patrick, Schletter, Albert, Schmidt, Philipp, Scholz, Frank, Schott, Simon, Schneidmiller, Evgeny, Sick, Bernhard, Tiedtke, Kai, Usenko, Sergey, Wanie, Vincent, Wurzer, Markus, Yurkov, Mikhail, Zhaunerchyk, Vitali, Helml, Wolfram
Attosecond X-ray pulses are the key to studying electron dynamics at their natural timescale in specifically targeted electronic states. They promise to build the conceptual bridge between physical and chemical photo-reaction processes. Free-electron
Externí odkaz:
http://arxiv.org/abs/2408.03858
Human annotators typically provide annotated data for training machine learning models, such as neural networks. Yet, human annotations are subject to noise, impairing generalization performances. Methodological research on approaches counteracting n
Externí odkaz:
http://arxiv.org/abs/2407.20950
Autor:
Hassouna, Mohamed, Holzhüter, Clara, Lytaev, Pawel, Thomas, Josephine, Sick, Bernhard, Scholz, Christoph
The rise of renewable energy and distributed generation requires new approaches to overcome the limitations of traditional methods. In this context, Graph Neural Networks are promising due to their ability to learn from graph-structured data. Combine
Externí odkaz:
http://arxiv.org/abs/2407.04522
Autor:
Braun, Martin, Gruhl, Christian, Hans, Christian A., Härtel, Philipp, Scholz, Christoph, Sick, Bernhard, Siefert, Malte, Steinke, Florian, Stursberg, Olaf, Berg, Sebastian Wende-von
Future energy systems are subject to various uncertain influences. As resilient systems they should maintain a constantly high operational performance whatever happens. We explore different levels and time scales of decision making in energy systems,
Externí odkaz:
http://arxiv.org/abs/2407.03021
Passive acoustic monitoring (PAM) in avian bioacoustics enables cost-effective and extensive data collection with minimal disruption to natural habitats. Despite advancements in computational avian bioacoustics, deep learning models continue to encou
Externí odkaz:
http://arxiv.org/abs/2406.18621
This article presents the Sorting Composite Quantile Regression Neural Network (SCQRNN), an advanced quantile regression model designed to prevent quantile crossing and enhance computational efficiency. Integrating ad hoc sorting in training, the SCQ
Externí odkaz:
http://arxiv.org/abs/2406.00080
This article investigates the application of computer vision and graph-based models in solving mesh-based partial differential equations within high-performance computing environments. Focusing on structured, graded structured, and unstructured meshe
Externí odkaz:
http://arxiv.org/abs/2406.00081