Zobrazeno 1 - 10
of 1 754
pro vyhledávání: '"Rogers, Simon"'
Microstructural and rheological training and memory of nanocolloidal soft glasses under cyclic shear
An intrinsic feature of disordered and out-of-equilibrium materials, such as glasses, is the dependence of their properties on their history. An important example is rheological memory, in which disordered solids obtain properties based on their mech
Externí odkaz:
http://arxiv.org/abs/2312.17696
Autor:
Divoux, Thibaut, Agoritsas, Elisabeth, Aime, Stefano, Barentin, Catherine, Barrat, Jean-Louis, Benzi, Roberto, Berthier, Ludovic, Bi, Dapeng, Biroli, Giulio, Bonn, Daniel, Bourrianne, Philippe, Bouzid, Mehdi, Del Gado, Emanuela, Delanoë-Ayari, Hélène, Farain, Kasra, Fielding, Suzanne, Fuchs, Matthias, van der Gucht, Jasper, Henkes, Silke, Jalaal, Maziyar, Joshi, Yogesh M., Lemaître, Anaël, Leheny, Robert L., Manneville, Sébastien, Martens, Kirsten, Poon, Wilson C. K., Popović, Marko, Procaccia, Itamar, Ramos, Laurence, Richards, James A., Rogers, Simon, Rossi, Saverio, Sbragaglia, Mauro, Tarjus, Gilles, Toschi, Federico, Trappe, Véronique, Vermant, Jan, Wyart, Matthieu, Zamponi, Francesco, Zare, Davoud
Publikováno v:
Soft Matter, 2024,20, 6868-6888
Soft amorphous materials are viscoelastic solids ubiquitously found around us, from clays and cementitious pastes to emulsions and physical gels encountered in food or biomedical engineering. Under an external deformation, these materials undergo a n
Externí odkaz:
http://arxiv.org/abs/2312.14278
Autor:
Smith, Jim, Preen, Richard J., McCarthy, Andrew, Albashir, Maha, Crespi-Boixader, Alba, Mumtaz, Shahzad, Liley, James, Rogers, Simon, Jones, Yola
We present SACRO-ML, an integrated suite of open source Python tools to facilitate the statistical disclosure control (SDC) of machine learning (ML) models trained on confidential data prior to public release. SACRO-ML combines (i) a SafeModel packag
Externí odkaz:
http://arxiv.org/abs/2212.01233
Autor:
Jefferson, Emily, Liley, James, Malone, Maeve, Reel, Smarti, Crespi-Boixader, Alba, Kerasidou, Xaroula, Tava, Francesco, McCarthy, Andrew, Preen, Richard, Blanco-Justicia, Alberto, Mansouri-Benssassi, Esma, Domingo-Ferrer, Josep, Beggs, Jillian, Chuter, Antony, Cole, Christian, Ritchie, Felix, Daly, Angela, Rogers, Simon, Smith, Jim
TREs are widely, and increasingly used to support statistical analysis of sensitive data across a range of sectors (e.g., health, police, tax and education) as they enable secure and transparent research whilst protecting data confidentiality. There
Externí odkaz:
http://arxiv.org/abs/2211.01656
Publikováno v:
In British Journal of Oral & Maxillofacial Surgery November 2024 62(9):747-752
Autor:
Jones, Sarah, VandenHeuvel, Sabrina, Luengo Martinez, Andres, Birur, Ruchi, Burgeson, Eric, Gilbert, Isabelle, Baker, Aaron, Wolf, Matthew, Raghavan, Shreya A., Rogers, Simon, Cosgriff-Hernandez, Elizabeth
Publikováno v:
In Bioactive Materials November 2024 41:640-656
Artificial intelligence (AI) applications in healthcare and medicine have increased in recent years. To enable access to personal data, Trusted Research environments (TREs) provide safe and secure environments in which researchers can access sensitiv
Externí odkaz:
http://arxiv.org/abs/2111.05628
Forward and Inverse models in HCI:Physical simulation and deep learning for inferring 3D finger pose
Autor:
Murray-Smith, Roderick, Williamson, John H., Ramsay, Andrew, Tonolini, Francesco, Rogers, Simon, Loriette, Antoine
We outline the role of forward and inverse modelling approaches in the design of human--computer interaction systems. Causal, forward models tend to be easier to specify and simulate, but HCI requires solutions of the inverse problem. We infer finger
Externí odkaz:
http://arxiv.org/abs/2109.03366
Autor:
Madadian, Matin Ali, Da Costa, Lara Simoes, Kerai, Ashwin, Bajwa, Mandeep S., Rogers, Simon N.
Publikováno v:
In British Journal of Oral & Maxillofacial Surgery February 2024 62(2):184-190