Zobrazeno 1 - 10
of 73 643
pro vyhledávání: '"A. A. Frost"'
Autor:
Pantazis, Konstantinos, Trosset, Michael, Frost, William N., Priebe, Carey E., Lyzinski, Vince
Theoretical and empirical evidence suggests that joint graph embedding algorithms induce correlation across the networks in the embedding space. In the Omnibus joint graph embedding framework, previous results explicitly delineated the dual effects o
Externí odkaz:
http://arxiv.org/abs/2409.17544
Investigating 39 Galactic Wolf-Rayet stars with VLTI/GRAVITY: Uncovering A Long Period Binary Desert
Autor:
Deshmukh, K., Sana, H., Mérand, A., Bordier, E., Langer, N., Bodensteiner, J., Dsilva, K., Frost, A. J., Gosset, E., Bouquin, J. -B. Le, Lefever, R. R., Mahy, L., Patrick, L. R., Reggiani, M., Sander, A. A. C., Shenar, T., Tramper, F., Villaseñor, J. I., Waisberg, I.
Publikováno v:
A&A 692, A109 (2024)
Wolf-Rayet stars (WRs) are one of the final evolutionary stages of massive stars and immediate progenitors of stellar-mass black holes. Their multiplicity forms an important anchor point in single and binary population models for predicting gravitati
Externí odkaz:
http://arxiv.org/abs/2409.15212
Autor:
Koumpia, E., Sun, D., Koutoulaki, M., Ilee, J. D., de Wit, W. -J., Oudmaijer, R. D., Frost, A. J.
Publikováno v:
A&A 690, A209 (2024)
The inner parts of the hot discs surrounding massive young stellar objects (MYSOs) are still barely explored due to observational limitations in terms of angular resolution, scarcity of diagnostic lines and the embedded and rare nature of these targe
Externí odkaz:
http://arxiv.org/abs/2408.15482
Autor:
Hughes, C. D., Lopez, K. N., Mulkey, T., Long, J. C., Sarsour, M., Van Meter, M., Samiei, S., Baxter, D. V., Snow, W. M., Lommel, L. M., Zhang, Y., Jiang, P., Stringfellow, E., Zolnierczuk, P., Frost, M., Odom, M.
We present the first polarized neutron transmission image of a model Ne\'el ferrimagnetic material, polycrystalline terbium iron garnet (Tb$_{3}$Fe$_{5}$O$_{12}$, TbIG for short), as it is taken through its compensation temperature $T_{comp}$ where,
Externí odkaz:
http://arxiv.org/abs/2408.14794
Autor:
Balayn, Agathe, Pi, Yulu, Widder, David Gray, Alfrink, Kars, Yurrita, Mireia, Upadhyay, Sohini, Karusala, Naveena, Lyons, Henrietta, Turkay, Cagatay, Tessono, Christelle, Attard-Frost, Blair, Gadiraju, Ujwal
This workshop will grow and consolidate a community of interdisciplinary CSCW researchers focusing on the topic of contestable AI. As an outcome of the workshop, we will synthesize the most pressing opportunities and challenges for contestability alo
Externí odkaz:
http://arxiv.org/abs/2408.01051
Autor:
Batt, Rosemary1 (AUTHOR), Cutcher-Gershenfeld, Joel1 (AUTHOR) joelcg@brandeis.edu, Frost, Ann1 (AUTHOR), MacDuffie, John Paul1 (AUTHOR)
Publikováno v:
ILR Review. Jan2025, Vol. 78 Issue 1, p113-122. 10p.
Autor:
Yan, Su, Vié, Clotilde, Lerendegui, Marcelo, Verinaz-Jadan, Herman, Yan, Jipeng, Tashkova, Martina, Burn, James, Wang, Bingxue, Frost, Gary, Murphy, Kevin G., Tang, Meng-Xing
Super-resolution ultrasound imaging through microbubble (MB) localisation and tracking, also known as ultrasound localisation microscopy, allows non-invasive sub-diffraction resolution imaging of microvasculature in animals and humans. The number of
Externí odkaz:
http://arxiv.org/abs/2407.06373
Autor:
Schueler, J., Araújo, H. M., Balashov, S. N., Borg, J. E., Brew, C., Brunbauer, F. M., Cazzaniga, C., Cottle, A., Frost, C. D., Garcia, F., Hunt, D., Kaboth, A. C., Kastriotou, M., Katsioulas, I., Khazov, A., Knights, P., Kraus, H., Kudryavtsev, V. A., Lilley, S., Lindote, A., Lisowska, M., Loomba, D., Lopes, M. I., Asamar, E. Lopez, Dapica, P. Luna, Majewski, P. A., Marley, T., McCabe, C., Millins, L., Mills, A. F., Nakhostin, M., Nandakumar, R., Neep, T., Neves, F., Nikolopoulos, K., Oliveri, E., Ropelewski, L., Solovov, V. N., Sumner, T. J., Tarrant, J., Tilly, E., Turnley, R., Veenhof, R.
Deep learning-based object detection algorithms enable the simultaneous classification and localization of any number of objects in image data. Many of these algorithms are capable of operating in real-time on high resolution images, attributing to t
Externí odkaz:
http://arxiv.org/abs/2406.07538
Autor:
Aggarwal, Garima, Mirza, Adeem Saeed, Riva, Stefania, Comparotto, Corrado, Frost, Robert J. W., Mukherjee, Soham, Morales-Masis, Monica, Rensmo, Håkan, Scragg, Jonathan Staaf
Exploring the conduction mechanism in the chalcogenide perovskite BaZrS$_3$ is of significant interest due to its potential suitability as a top absorber layer in silicon-based tandem solar cells and other optoelectronic applications. Theoretical and
Externí odkaz:
http://arxiv.org/abs/2405.17327
Industry 4.0 and beyond will rely heavily on sustainable Business Decision Modelling (BDM) that can be accelerated by blockchain and Digital Twin (DT) solutions. BDM is built on models and frameworks refined by key identification factors, data analys
Externí odkaz:
http://arxiv.org/abs/2405.12101