Zobrazeno 1 - 10
of 25 633
pro vyhledávání: '"Are Wallin"'
When electrically stimulated, electroactive polymers (EAPs) respond with mechanical deformation. The goal of this work is to design electrode and EAP layouts simultaneously in structures by using density-based, multi-material topology optimization. I
Externí odkaz:
http://arxiv.org/abs/2412.03256
Autor:
Wallin, Gabriel, Wiberg, Marie
In test equating, ensuring score comparability across different test forms is crucial but particularly challenging when test groups are non-equivalent and no anchor test is available. Local test equating aims to satisfy Lord's equity requirement by c
Externí odkaz:
http://arxiv.org/abs/2410.22989
Educational assessments are valuable tools for measuring student knowledge and skills, but their validity can be compromised when test takers exhibit changes in response behavior due to factors such as time pressure. To address this issue, we introdu
Externí odkaz:
http://arxiv.org/abs/2410.22300
Online mapping is important for scaling autonomous driving beyond well-defined areas. Training a model to produce a local map, including lane markers, road edges, and pedestrian crossings using only onboard sensory information, traditionally requires
Externí odkaz:
http://arxiv.org/abs/2410.10279
We present a new algorithm for identifying superbubbles in HI column density maps of both observed and simulated galaxies that has only a single adjustable parameter. The algorithm includes an automated galaxy-background separation step to focus the
Externí odkaz:
http://arxiv.org/abs/2409.11556
Autor:
Christensen, Christoffer Fyllgraf, Engqvist, Jonas, Wang, Fengwen, Sigmund, Ole, Wallin, Mathias
Preemptive identification of potential failure under loading of engineering structures is a critical challenge. Our study presents an innovative approach to built-in pre-failure indicators within multiscale structural designs utilizing the design fre
Externí odkaz:
http://arxiv.org/abs/2408.13113
Autor:
Allen, Julia, Alves, Bruno, Arling, Jan-Hendrik, Augsten, Kamil, Bagnaschi, Emanuele, Benato, Giovanni, Bennecke, Anna, Borca, Cecilia, Braz, Paulo, Brenner, Lydia, Degens, Jordy, Dengler, Yannick, Dimitriadi, Christina, Diociaiuti, Eleonora, Dufour, Laurent, Dunne, Patrick, Etisken, Ozgur, Ravasio, Silvia Ferrario, Fomin, Nikolai, Alonso, Andrea Garcia, Gellersen, Leif, Gsponer, Andreas, Herman, Tomas, Hiti, Bojan, Huhta, Laura, Ilg, Armin, Jarkovská, Kateřina, Jovicevic, Jelena, Keszeghova, Lucia, Kirschenmann, Henning, Klaver, Suzanne, Korajac, Arman, Kotsokechagia, Anastasia, Kussner, Meike, Lelek, Aleksandra, Lospalluto, Guiseppe, Major, Péter, Maksimovic, Veljko, Malczewski, Jakub, Benito, Carla Marin, Suarez, Paula Martinez, Milosevic, Vukasin, Modak, Atanu, Tarda, Arnau Morancho, Valero, Laura Moreno, Niel, Elisabeth, Nikiforou, Nikiforos, Novosel, Anja, Paakkinen, Petja, Pacey, Holly, Pedro, Rute, Pesut, Marko, Pietrzyk, Guillaume, Pitt, Michael, Placinta, Vlad-Mihai, Dash, Archita Rani, Räuber, Géraldine, Shopova, Mariana, Someonov, Radoslav, Simsek, Sinem, Skovpen, Kirill, Sopkova, Filomena, Souza, Fernando, Norella, Elisabetta Spadaro, Urbaniak, Marta, Gomez, Lourdes Urda, Wallin, Erik, Zaccolo, Valentina, Zardoshti, Nima, Zarnecki, Grzegorz
The European Committee for Future Accelerators (ECFA) Early-Career Researcher (ECR) panel, which represents the interests of the ECR community to ECFA, presents in this document its initiatives and activities in the year 2023. This report summarises
Externí odkaz:
http://arxiv.org/abs/2407.12761
In open-set semi-supervised learning (OSSL), we consider unlabeled datasets that may contain unknown classes. Existing OSSL methods often use the softmax confidence for classifying data as in-distribution (ID) or out-of-distribution (OOD). Additional
Externí odkaz:
http://arxiv.org/abs/2407.11735
Autor:
Tishelman-Charny, A., Affolder, A., Capocasa, F., Duden, E., Fadeyev, V., Gignac, M., Helling, C., Herde, H., Johnson, J., Lynn, D., Morii, M., Mitra, A., Poley, L., Sciolla, G., Stucci, S., Sharma, P., Van Nieuwenhuizen, G., Wallin, E., Wang, A., Wonsak, S.
At the end of Run 3 of the Large Hadron Collider (LHC), the accelerator complex will be upgraded to the High-Luminosity LHC (HL-LHC) in order to increase the total amount of data provided to its experiments. To cope with the increased rates of data,
Externí odkaz:
http://arxiv.org/abs/2407.06370
Popular regularizers with non-differentiable penalties, such as Lasso, Elastic Net, Generalized Lasso, or SLOPE, reduce the dimension of the parameter space by inducing sparsity or clustering in the estimators' coordinates. In this paper, we focus on
Externí odkaz:
http://arxiv.org/abs/2405.07677