Zobrazeno 1 - 10
of 9 257
pro vyhledávání: '"Merrett A"'
Autor:
Lin Li, Jessica Kasza, Ariadna Recasens, Liane Ioannou, Elysia Greenhill, Neil Merrett, David Cavallucci, Samantha Ellis, Helen Madgwick, Hyun Soo Ko, Lorraine Chantrill, Benjamin Loveday, Mehrdad Nikfarjam, Daniel Croagh, Jessica Yang, Andrew Dwyer, John Zalcberg, Charles Pilgrim, SCANPatient Authorship Group
Publikováno v:
Trials, Vol 25, Iss 1, Pp 1-17 (2024)
Abstract Background Complete surgical removal of pancreatic ductal adenocarcinoma (PDAC) is central to all curative treatment approaches for this aggressive disease, yet this is only possible in patients technically amenable to resection. Hence, an a
Externí odkaz:
https://doaj.org/article/8155d023b1684df7b7f5d68e3d09af14
Autor:
Humera Plappert, Richard Byng, Siobhan Theresa Reilly, Charley Hobson-Merrett, Jon Allard, Elina Baker, Nicky Britten, Melanie Calvert, Michael Clark, Siobhan Creanor, Linda Davies, Rebecca Denyer, Julia Frost, Linda Gask, Bliss Gibbons, John Gibson, Laura Gill, Ruth Gwernan-Jones, Joanne Hosking, Peter Huxley, Alison Jeffery, Benjamin Jones, Tom Keeley, Richard Laugharne, Steven Marwaha, Claire Planner, Tim Rawcliffe, Ameeta Retzer, Debra Richards, Ruth Sayers, Lynsey Williams, Vanessa Pinfold, Maximillian Birchwood
Publikováno v:
Programme Grants for Applied Research, Vol 12, Iss 06 (2024)
Background and aims Individuals living with severe mental illness such as schizophrenia and bipolar can have significant emotional, cognitive, physical and social challenges. Most people with severe mental illness in the United Kingdom do not receive
Externí odkaz:
https://doaj.org/article/4c00605411d4488587c8f7e54ddd8920
Deep neural network (DNN) inference is increasingly being executed on mobile and embedded platforms due to low latency and better privacy. However, efficient deployment on these platforms is challenging due to the intensive computation and memory acc
Externí odkaz:
http://arxiv.org/abs/2206.02525
Autor:
Joshua Alamo, Jameson Pitcheralle, Craig G. Merrett, Michael C. F. Bazzocchi, Marcias Martinez
Publikováno v:
Applied Mechanics, Vol 5, Iss 1, Pp 58-72 (2024)
A smoothed-particle hydrodynamics (SPH) modeling technique was applied in conjunction with the Johnson–Holmquist (JH-2) ceramic material constitutive model to replicate the fracture of soda-lime glass in a milling manufacturing process. Four-point
Externí odkaz:
https://doaj.org/article/d9725cae70c84a4487b1053c2a1b6151
Intermittently-powered wireless sensor networks (WSNs) use energy harvesting and small energy storage to remove the need for battery replacement and to extend the operational lifetime. However, an intermittently-powered forwarder regularly turns on o
Externí odkaz:
http://arxiv.org/abs/2109.12047
Publikováno v:
The 32nd British Machine Vision Conference BMVC 2021
Deep convolutional neural networks (CNNs) are computationally and memory intensive. In CNNs, intensive multiplication can have resource implications that may challenge the ability for effective deployment of inference on resource-constrained edge dev
Externí odkaz:
http://arxiv.org/abs/2109.09495
The Transformer architecture is widely used for machine translation tasks. However, its resource-intensive nature makes it challenging to implement on constrained embedded devices, particularly where available hardware resources can vary at run-time.
Externí odkaz:
http://arxiv.org/abs/2107.08199
Transferring image-based object detectors to the domain of video remains challenging under resource constraints. Previous efforts utilised optical flow to allow unchanged features to be propagated, however, the overhead is considerable when working w
Externí odkaz:
http://arxiv.org/abs/2106.11208
Machine learning inference is increasingly being executed locally on mobile and embedded platforms, due to the clear advantages in latency, privacy and connectivity. In this paper, we present approaches for online resource management in heterogeneous
Externí odkaz:
http://arxiv.org/abs/2105.03608
Inference for Deep Neural Networks is increasingly being executed locally on mobile and embedded platforms due to its advantages in latency, privacy and connectivity. Since modern System on Chips typically execute a combination of different and dynam
Externí odkaz:
http://arxiv.org/abs/2105.03600