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Candidate ram-pressure stripped galaxies in six low-redshift clusters revealed from ultraviolet imaging

Autor: George, Koshy, Poggianti, B. M., Omizzolo, A., Vulcani, B., Côté, P., Postma, J., Smith, R., Jaffe, Y. L., Gullieuszik, M., Moretti, A., Subramaniam, A., Sreekumar, P., Ghosh, S. K., Tandon, S. N., Hutchings, J. B.

The assembly of galaxy clusters is understood to be a hierarchical process with a continuous accretion of galaxies over time, which increases the cluster size and mass. Late-type galaxies that fall into clusters can undergo ram-pressure stripping, fo

Externí odkaz: http://arxiv.org/abs/2409.10586

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ColorwAI: Generative Colorways of Textiles through GAN and Diffusion Disentanglement

Autor: Schaerf, Ludovica, Alfarano, Andrea, Postma, Eric

Colorway creation is the task of generating textile samples in alternate color variations maintaining an underlying pattern. The individuation of a suitable color palette for a colorway is a complex creative task, responding to client and market need

Externí odkaz: http://arxiv.org/abs/2407.11514

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Gamification of Motor Imagery Brain-Computer Interface Training Protocols: a systematic review

Autor: Atilla, Fred, Postma, Marie, Alimardani, Maryam

Current Motor Imagery Brain-Computer Interfaces (MI-BCI) require a lengthy and monotonous training procedure to train both the system and the user. Considering many users struggle with effective control of MI-BCI systems, a more user-centered approac

Externí odkaz: http://arxiv.org/abs/2407.04610

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Triple Higgs boson production and electroweak phase transition in the two-real-singlet model

Autor: Karkout, Osama, Papaefstathiou, Andreas, Postma, Marieke, Tetlalmatzi-Xolocotzi, Gilberto, van de Vis, Jorinde, Pree, Tristan du

The production of three Higgs bosons at hadron colliders can be enhanced by a double-resonant effect in the $\mathbb{Z}_2$-symmetric two-real-singlet extension of the Standard Model, making it potentially observable in future LHC runs. The production

Externí odkaz: http://arxiv.org/abs/2404.12425

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GenAI Detection Tools, Adversarial Techniques and Implications for Inclusivity in Higher Education

Autor: Perkins, Mike, Roe, Jasper, Vu, Binh H., Postma, Darius, Hickerson, Don, McGaughran, James, Khuat, Huy Q.

This study investigates the efficacy of six major Generative AI (GenAI) text detectors when confronted with machine-generated content that has been modified using techniques designed to evade detection by these tools (n=805). The results demonstrate

Externí odkaz: http://arxiv.org/abs/2403.19148

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