Zobrazeno 1 - 10
of 2 341
pro vyhledávání: '"Mahoney, J"'
Publikováno v:
Journal of Multidisciplinary Healthcare, Vol Volume 16, Pp 3833-3846 (2023)
Rebecca L Angus,1 Rachel Wenke,1 Sara Burrett,1 Jill Mahoney,1 Shelley Roberts1,2 1Allied Health and Rehabilitation Services, Gold Coast Hospital and Health Service, Southport, QLD, Australia; 2School of Health Sciences and Social Work, Griffith Univ
Externí odkaz:
https://doaj.org/article/90c4f441b60d4502ad1091e26325b889
Autor:
Mahoney, J. Liam
Master of Landscape Architecture
Department of Landscape Architecture/Regional and Community Planning
Lee R. Skabelund
Hurricane Katrina displaced many New Orleans residents, leaving in its wake tens of thousands of vacant lots and bui
Department of Landscape Architecture/Regional and Community Planning
Lee R. Skabelund
Hurricane Katrina displaced many New Orleans residents, leaving in its wake tens of thousands of vacant lots and bui
Externí odkaz:
http://hdl.handle.net/2097/9161
Chimera states---the coexistence of synchrony and asynchrony in a nonlocally-coupled network of identical oscillators---are often used as a model framework for epileptic seizures. Here, we explore the dynamics of chimera states in a network of modifi
Externí odkaz:
http://arxiv.org/abs/1908.07039
Akademický článek
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Given a classical channel---a stochastic map from inputs to outputs---the input can often be transformed to an intermediate variable that is informationally smaller than the input. The new channel accurately simulates the original but at a smaller tr
Externí odkaz:
http://arxiv.org/abs/1709.08101
Understanding the generative mechanism of a natural system is a vital component of the scientific method. Here, we investigate one of the fundamental steps toward this goal by presenting the minimal generator of an arbitrary binary Markov process. Th
Externí odkaz:
http://arxiv.org/abs/1708.00113
Publikováno v:
Phys. Rev. X 8, 011025 (2018)
We introduce a quantum algorithm for efficient biased sampling of the rare events generated by classical memoryful stochastic processes. We show that this quantum algorithm gives an extreme advantage over known classical biased sampling algorithms in
Externí odkaz:
http://arxiv.org/abs/1707.09553
Akademický článek
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Autor:
Brennan, Daniel T., Brian Mahoney, J., Li, Zheng-Xiang, Link, Paul K., Evans, Noreen J., Johnson, Tim E.
Publikováno v:
In Precambrian Research December 2021 367
Classical stochastic processes can be generated by quantum simulators instead of the more standard classical ones, such as hidden Markov models. One reason for using quantum simulators is that they generally require less memory than their classical c
Externí odkaz:
http://arxiv.org/abs/1609.03650