Zobrazeno 1 - 10
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pro vyhledávání: '"Thomas, Mark"'
Spatial audio is a crucial component in creating immersive experiences. Traditional simulation-based approaches to generate spatial audio rely on expertise, have limited scalability, and assume independence between semantic and spatial information. T
Externí odkaz:
http://arxiv.org/abs/2410.11299
Autor:
de Lusignan, Simon, Jones, Nicholas, Dorward, Jienchi, Byford, Rachel, Liyanage, Harshana, Briggs, John, Ferreira, Filipa, Akinyemi, Oluwafunmi, Amirthalingam, Gayatri, Bates, Chris, Lopez Bernal, Jamie, Dabrera, Gavin, Eavis, Alex, Elliot, Alex J, Feher, Michael, Krajenbrink, Else, Hoang, Uy, Howsam, Gary, Leach, Jonathan, Okusi, Cecilia, Nicholson, Brian, Nieri, Philip, Sherlock, Julian, Smith, Gillian, Thomas, Mark, Thomas, Nicholas, Tripathy, Manasa, Victor, William, Williams, John, Wood, Ian, Zambon, Maria, Parry, John, O’Hanlon, Shaun, Joy, Mark, Butler, Chris, Marshall, Martin, Hobbs, FD Richard
Publikováno v:
JMIR Public Health and Surveillance, Vol 6, Iss 3, p e19773 (2020)
BackgroundRoutinely recorded primary care data have been used for many years by sentinel networks for surveillance. More recently, real world data have been used for a wider range of research projects to support rapid, inexpensive clinical trials. Be
Externí odkaz:
https://doaj.org/article/096ebbad74b84248938967406034f01e
Publikováno v:
Strategic HR Review, 2024, Vol. 23, Issue 5, pp. 181-187.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/SHR-04-2024-0030
Autor:
Franzese, Olive, Dziedzic, Adam, Choquette-Choo, Christopher A., Thomas, Mark R., Kaleem, Muhammad Ahmad, Rabanser, Stephan, Fang, Congyu, Jha, Somesh, Papernot, Nicolas, Wang, Xiao
Collaborative machine learning (ML) is widely used to enable institutions to learn better models from distributed data. While collaborative approaches to learning intuitively protect user data, they remain vulnerable to either the server, the clients
Externí odkaz:
http://arxiv.org/abs/2310.16678
Autor:
Hanschke, Jan-Hendrik, Arteaga, Daniel, Cengarle, Giulio, Lando, Joshua, Thomas, Mark R. P., Seefeldt, Alan
Publikováno v:
Proceedings of the Audio Engineering Society Convention 155, New York, paper 10669 (October 2023). https://www.aes.org/e-lib/inst/browse.cfm?elib=22250
Loudspeaker rendering techniques that create phantom sound sources often assume an equidistant loudspeaker layout. Typical home setups might not fulfill this condition as loudspeakers deviate from canonical positions, thus requiring a corresponding c
Externí odkaz:
http://arxiv.org/abs/2310.17004
Autor:
Reiter Samantha S., Staniuk Robert, Kolář Jan, Bulatović Jelena, Rose Helene Agerskov, Ryabogina Natalia E., Speciale Claudia, Schjerven Nicoline, Paulsson Bettina Schulz, Lee Victor Yan Kin, Canteri Elisabetta, Revill Alice, Dahlberg Fredrik, Sabatini Serena, Frei Karin M., Racimo Fernando, Ivanova-Bieg Maria, Traylor Wolfgang, Kate Emily J., Derenne Eve, Frank Lea, Woodbridge Jessie, Fyfe Ralph, Shennan Stephen, Kristiansen Kristian, Thomas Mark G., Timpson Adrian
Publikováno v:
Open Archaeology, Vol 10, Iss 1, Pp 269-279 (2024)
This article presents a series of recommendations for the publication of archaeological data, to improve their usability. These 12 recommendations were formulated by archaeological data experts who mined thousands of publications for different data t
Externí odkaz:
https://doaj.org/article/39bfbe83d0144cdcbe6357a19319bf9a