Zobrazeno 1 - 10
of 90 438
pro vyhledávání: '"Kay, P"'
Autor:
Luna, Cristina, Eguíluz, Augusto Gómez, Barrientos-Díez, Jorge, Moreno, Almudena, Guerra, Alba, Esquer, Manuel, Seoane, Marina L., Kay, Steven, Cameron, Angus, Camañes, Carmen, Haas, Philipp, Papantoniou, Vassilios, Wedler, Armin, Rebele, Bernhard, Reynolds, Jennifer, Landgraf, Markus
Publikováno v:
2024 International Conference on Space Robotics (iSpaRo), Luxembourg, Luxembourg, 2024, pp. 145-150
This document compiles results obtained from the test campaign of the European Moon Rover System (EMRS) project. The test campaign, conducted at the Planetary Exploration Lab of DLR in Wessling, aimed to understand the scope of the EMRS breadboard de
Externí odkaz:
http://arxiv.org/abs/2411.13978
Autor:
Palmerio, Erika, Kay, Christina, Al-Haddad, Nada, Lynch, Benjamin J., Trotta, Domenico, Yu, Wenyuan, Ledvina, Vincent E., Sánchez-Cano, Beatriz, Riley, Pete, Heyner, Daniel, Schmid, Daniel, Fischer, David, Richter, Ingo, Auster, Hans-Ulrich
Understanding and predicting the structure and evolution of coronal mass ejections (CMEs) in the heliosphere remains one of the most sought-after goals in heliophysics and space weather research. A powerful tool for improving current knowledge and ca
Externí odkaz:
http://arxiv.org/abs/2411.12706
Autor:
Brandner, Kay
The visible dynamics of small-scale systems are strongly affected by unobservable degrees of freedom, which can belong either to external environments or internal subsystems and almost inevitably induce memory effects. Formally, such inaccessible deg
Externí odkaz:
http://arxiv.org/abs/2411.12596
Autor:
Brandner, Kay
Memory effects are ubiquitous in small-scale systems. They emerge from interactions between accessible and inaccessible degrees of freedom and give rise to evolution equations that are non-local in time. If the characteristic time scales of accessibl
Externí odkaz:
http://arxiv.org/abs/2411.12595
Autor:
Huang, Shaoying, Algarín, José Miguel, Alonso, Joseba, R, Anieyrudh, Borreguero, Jose, Bschorr, Fabian, Cassidy, Paul, Choo, Wei Ming, Corcos, David, Guallart-Naval, Teresa, Han, Heng Jing, Igwe, Kay Chioma, Kang, Jacob, Li, Joe, Littin, Sebastian, Liu, Jie, Rodriguez, Gonzalo Gabriel, Solomon, Eddy, Tan, Li-Kuo, Tian, Rui, Webb, Andrew, Weber, Susanna, Xiao, Dan, Xu, Minxuan, Yu, Wenwei, Zhang, Zhiyong, Zinghini, Isabelle, Blümich, Bernhard
Nuclear magnetic resonance instruments are becoming available to the do-it-yourself community. The challenges encountered in the endeavor to build a magnetic resonance imaging instrument from scratch were confronted in a four-day hackathon at Singapo
Externí odkaz:
http://arxiv.org/abs/2411.11365
Cross-project defect prediction (CPDP) leverages machine learning (ML) techniques to proactively identify software defects, especially where project-specific data is scarce. However, developing a robust ML pipeline with optimal hyperparameters that e
Externí odkaz:
http://arxiv.org/abs/2411.06491
In this survey, we introduce Meta-Black-Box-Optimization~(MetaBBO) as an emerging avenue within the Evolutionary Computation~(EC) community, which incorporates Meta-learning approaches to assist automated algorithm design. Despite the success of Meta
Externí odkaz:
http://arxiv.org/abs/2411.00625
Latent diffusion models have become the popular choice for scaling up diffusion models for high resolution image synthesis. Compared to pixel-space models that are trained end-to-end, latent models are perceived to be more efficient and to produce hi
Externí odkaz:
http://arxiv.org/abs/2410.19324
Offloading computationally expensive algorithms to the edge or even cloud offers an attractive option to tackle limitations regarding on-board computational and energy resources of robotic systems. In cloud-native applications deployed with the conta
Externí odkaz:
http://arxiv.org/abs/2410.18825
Autor:
Sereno, Mauro, Maurogordato, Sophie, Cappi, Alberto, Barrena, Rafael, Benoist, Christophe, Haines, Christopher P., Radovich, Mario, Nonino, Mario, Ettori, Stefano, Ferragamo, Antonio, Gavazzi, Raphael, Huot, Sophie, Pizzuti, Lorenzo, Pratt, Gabriel W., Streblyanska, Alina, Zarattini, Stefano, Castignani, Gianluca, Eckert, Dominique, Gastaldello, Fabio, Kay, Scott T., Lovisari, Lorenzo, Maughan, Ben J., Pointecouteau, Etienne, Rasia, Elena, Rossetti, Mariachiara, Sayers, Jack
The Cluster HEritage project with XMM-Newton - Mass Assembly and Thermodynamics at the Endpoint of structure formation (CHEX-MATE) is a programme to study a minimally biased sample of 118 galaxy clusters detected by Planck through the Sunyaev-Zeldovi
Externí odkaz:
http://arxiv.org/abs/2410.18165