Zobrazeno 1 - 10
of 148 291
pro vyhledávání: '"P A Francis"'
Publikováno v:
Environmental Research Letters, Vol 19, Iss 12, p 124023 (2024)
A robust El Niño Southern Oscillation (ENSO) prediction is essential for monitoring the global climate, regional monsoons, and weather extremes. Despite dedicated efforts spanning decades, the precise prediction of ENSO events through numerical mode
Externí odkaz:
https://doaj.org/article/8026318d903e4e32ba5fd424dbd11113
Autor:
Hogg, Luke, DiResta, Renée, Fukuyama, Francis, Reisman, Richard, Keller, Daphne, Ovadya, Aviv, Thorburn, Luke, Stray, Jonathan, Mathur, Shubhi
Middleware, third-party software intermediaries between users and platforms, has been broached as a means to decentralize the power of social media platforms and enhance user agency. Middleware may enable a more user-centric and democratic approach t
Externí odkaz:
http://arxiv.org/abs/2412.10283
Surgical workflow anticipation is the task of predicting the timing of relevant surgical events from live video data, which is critical in Robotic-Assisted Surgery (RAS). Accurate predictions require the use of spatial information to model surgical i
Externí odkaz:
http://arxiv.org/abs/2412.06454
Autor:
Ren, Qiaoqiao, Proesmans, Remko, Bossuyt, Frederick, Vanfleteren, Jan, Wyffels, Francis, Belpaeme, Tony
Human emotions can be conveyed through nuanced touch gestures. However, there is a lack of understanding of how consistently emotions can be conveyed to robots through touch. This study explores the consistency of touch-based emotional expression tow
Externí odkaz:
http://arxiv.org/abs/2412.03300
Autor:
Hofstadter, Mark, Helled, Ravit, Stevenson, David J., Ehlmann, Bethany, Bethkenhagen, Mandy, Cao, Hao, Dong, Junjie, Moutamid, Maryame El, Ermakov, Anton, Fuller, Jim, Guillot, Tristan, Idini, Benjamin, Izidoro, Andre, Kaspi, Yohai, Kovacevic, Tanja, Lainey, Valéry, Levin, Steve, Lunine, Jonathan, Mankovich, Christopher, Markham, Stephen, Millot, Marius, Mousis, Olivier, Müller, Simon, Nettelmann, Nadine, Nimmo, Francis, Parisi, Marzia, Soderland, Krista, Stixrude, Lars, Teanby, Nick, Vazan, Allona
Determining the internal structure of Uranus is a key objective for planetary science. Knowledge of Uranus's bulk composition and the distribution of elements is crucial to understanding its origin and evolutionary path. In addition, Uranus represent
Externí odkaz:
http://arxiv.org/abs/2412.01872
We demonstrate the advantages of THz frequency combs for high-resolution spectroscopy. This benefits from wide spectral coverage and the exact knowledge of the frequency position of each comb component. Heterodyne detection combined with a fast Fouri
Externí odkaz:
http://arxiv.org/abs/2412.01308
Autor:
Hindle, Francis, Kuuliala, Lotta, Mouelhi, Meriem, Cuisset, Arnaud, Bray, Cédric, Vanwolleghem, Mathias, Devlieghere, Frank, Mouret, Gael, Bocquet, Robin
Publikováno v:
Analyst, 2018, 143 (22), pp.5536-5544
High resolution rotational Terahertz (THz) spectroscopy has been widely applied to the studies of numerous polar gas phase molecules, in particular volatile organic compounds (VOCs). During the storage of foodstuffs packed under a protective atmosphe
Externí odkaz:
http://arxiv.org/abs/2412.01309
Autor:
Wen, Penghui, Bai, Lei, He, Mengwei, Filippi, Patrick, Zhang, Feng, Bishop, Thomas Francis, Wang, Zhiyong, Hu, Kun
Recently, extended short-term precipitation nowcasting struggles with decreasing precision because of insufficient consideration of meteorological knowledge, such as weather fronts which significantly influence precipitation intensity, duration, and
Externí odkaz:
http://arxiv.org/abs/2412.01091
Particle-based methods include a variety of techniques, such as Markov Chain Monte Carlo (MCMC) and Sequential Monte Carlo (SMC), for approximating a probabilistic target distribution with a set of weighted particles. In this paper, we prove that for
Externí odkaz:
http://arxiv.org/abs/2412.00545
Autor:
Pang, Yatian, Zhu, Bin, Lin, Bin, Zheng, Mingzhe, Tay, Francis E. H., Lim, Ser-Nam, Yang, Harry, Yuan, Li
In this work, we present DreamDance, a novel method for animating human images using only skeleton pose sequences as conditional inputs. Existing approaches struggle with generating coherent, high-quality content in an efficient and user-friendly man
Externí odkaz:
http://arxiv.org/abs/2412.00397