Zobrazeno 1 - 10
of 348
pro vyhledávání: '"Riley Graham"'
Publikováno v:
PLoS ONE, Vol 9, Iss 11, p e111961 (2014)
During colony relocation, the selection of a new nest involves exploration and assessment of potential sites followed by colony movement on the basis of a collective decision making process. Hygiene and pathogen load of the potential nest sites are f
Externí odkaz:
https://doaj.org/article/b30e48bdbc914f87b05d571f5e26497d
The time reversal symmetry of the wave equation allows wave refocusing back at the source. However, this symmetry does not hold in lossy media. We present a new strategy to compensate wave amplitude losses due to attenuation. The strategy leverages t
Externí odkaz:
http://arxiv.org/abs/2107.09618
Energy use is a key concern when deploying deep learning models on mobile and embedded platforms. Current studies develop energy predictive models based on application-level features to provide researchers a way to estimate the energy consumption of
Externí odkaz:
http://arxiv.org/abs/2004.05137
Autor:
Saeedi, Sajad, Bodin, Bruno, Wagstaff, Harry, Nisbet, Andy, Nardi, Luigi, Mawer, John, Melot, Nicolas, Palomar, Oscar, Vespa, Emanuele, Spink, Tom, Gorgovan, Cosmin, Webb, Andrew, Clarkson, James, Tomusk, Erik, Debrunner, Thomas, Kaszyk, Kuba, Gonzalez-de-Aledo, Pablo, Rodchenko, Andrey, Riley, Graham, Kotselidis, Christos, Franke, Björn, O'Boyle, Michael F. P., Davison, Andrew J., Kelly, Paul H. J., Luján, Mikel, Furber, Steve
Visual understanding of 3D environments in real-time, at low power, is a huge computational challenge. Often referred to as SLAM (Simultaneous Localisation and Mapping), it is central to applications spanning domestic and industrial robotics, autonom
Externí odkaz:
http://arxiv.org/abs/1808.06352
There is a huge demand for on-device execution of deep learning algorithms on mobile and embedded platforms. These devices present constraints on the application due to limited resources and power. Hence, developing energy-efficient solutions to addr
Externí odkaz:
http://arxiv.org/abs/1803.11151
The Breadth-First Search (BFS) algorithm is an important building block for graph analysis of large datasets. The BFS parallelisation has been shown to be challenging because of its inherent characteristics, including irregular memory access patterns
Externí odkaz:
http://arxiv.org/abs/1704.02259
Breadth First Search (BFS) is a building block for graph algorithms and has recently been used for large scale analysis of information in a variety of applications including social networks, graph databases and web searching. Due to its importance, a
Externí odkaz:
http://arxiv.org/abs/1604.02844
Autor:
Nardi, Luigi, Bodin, Bruno, Zia, M. Zeeshan, Mawer, John, Nisbet, Andy, Kelly, Paul H. J., Davison, Andrew J., Luján, Mikel, O'Boyle, Michael F. P., Riley, Graham, Topham, Nigel, Furber, Steve
Real-time dense computer vision and SLAM offer great potential for a new level of scene modelling, tracking and real environmental interaction for many types of robot, but their high computational requirements mean that use on mass market embedded pl
Externí odkaz:
http://arxiv.org/abs/1410.2167
Publikováno v:
In Journal of Parallel and Distributed Computing December 2019 134:75-88
Autor:
Mann, Charles J., Bradley, Anne M., Jones, Eleanor R., McNamara, Iain R., Smith, Toby O., Riley, Graham P.
Publikováno v:
In The Knee August 2019 26(4):914-922