Zobrazeno 1 - 10
of 310
pro vyhledávání: '"John, Nigel"'
Autor:
Dykes, Jason, Abdul-Rahman, Alfie, Archambault, Daniel, Bach, Benjamin, Borgo, Rita, Chen, Min, Enright, Jessica, Fang, Hui, Firat, Elif E., Freeman, Euan, Gonen, Tuna, Harris, Claire, Jianu, Radu, John, Nigel W., Khan, Saiful, Lahiff, Andrew, Laramee, Robert S., Matthews, Louise, Mohr, Sibylle, Nguyen, Phong H., Rahat, Alma A. M., Reeve, Richard, Ritsos, Panagiotis D., Roberts, Jonathan C., Slingsby, Aidan, Swallow, Ben, Torsney-Weir, Thomas, Turkay, Cagatay, Turner, Robert, Vidal, Franck P., Wang, Qiru, Wood, Jo, Xu, Kai
Publikováno v:
RSTA: Special Issue - Technical challenges of modelling real-life epidemics and examples of overcoming these, 380(2233) 2022
We report on an ongoing collaboration between epidemiological modellers and visualization researchers by documenting and reflecting upon knowledge constructs -- a series of ideas, approaches and methods taken from existing visualization research and
Externí odkaz:
http://arxiv.org/abs/2204.06946
Publikováno v:
JMIR Serious Games, Vol 1, Iss 1, p e2 (2013)
BackgroundMedical mentoring is becoming increasingly complex with the evolving needs of trainees and the complexities of their personal and social lives. The Internet is an enabling technology, which increasingly facilitates interaction with multiple
Externí odkaz:
https://doaj.org/article/d1056ddaf9eb429da57fa82574fe7833
Akademický článek
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Autor:
Serubibi, Arcade, Hazell, Paul J., Escobedo, Juan Pablo, Wang, Hongxu, Oromiehie, Ebrahim, Prusty, Gangadhara B., Phillips, Andrew W., St John, Nigel A.
Publikováno v:
In Composites Part A October 2023 173
Autor:
Shafaq, Donough, Matthew J., Farnsworth, Ashleigh L., Phillips, Andrew W., St John, Nigel A., Gangadhara Prusty, B.
Publikováno v:
In Composites Part B 15 February 2023 251
Autor:
Maung, Phyo Thu, Prusty, B. Gangadhara, Donough, Matthew J., Oromiehie, Ebrahim, Phillips, Andrew W., St John, Nigel A.
Publikováno v:
In Marine Structures January 2023 87
Mixed Reality (MR) is a powerful interactive technology that yields new types of user experience. We present a semantic based interactive MR framework that exceeds the current geometry level approaches, a step change in generating high-level context-
Externí odkaz:
http://arxiv.org/abs/1803.05541
Convolutional Neural Networks (CNNs) need large amounts of data with ground truth annotation, which is a challenging problem that has limited the development and fast deployment of CNNs for many computer vision tasks. We propose a novel framework for
Externí odkaz:
http://arxiv.org/abs/1803.05530
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics, 25(1), 2019
Visualization and virtual environments (VEs) have been two interconnected parallel strands in visual computing for decades. Some VEs have been purposely developed for visualization applications, while many visualization applications are exemplary sho
Externí odkaz:
http://arxiv.org/abs/1802.09012
Publikováno v:
In Composites Part A December 2022 163