Zobrazeno 1 - 10
of 16 983
pro vyhledávání: '"A Jere"'
Autor:
Crossley, Alastair, Habermann, Karen, Horton, Emma, Koskela, Jere, Kyprianou, Andreas E., Osman, Sarah
Proton beam radiotherapy stands at the forefront of precision cancer treatment, leveraging the unique physical interactions of proton beams with human tissue to deliver minimal dose upon entry and deposit the therapeutic dose precisely at the so-call
Externí odkaz:
http://arxiv.org/abs/2409.06965
We show that genealogical trees arising from a broad class of non-neutral models of population evolution converge to the Kingman coalescent under a suitable rescaling of time. As well as non-neutral biological evolution, our results apply to genetic
Externí odkaz:
http://arxiv.org/abs/2406.16465
Integration of artificial intelligence (AI) and machine learning (ML) into the air interface has been envisioned as a key technology for next-generation (NextG) cellular networks. At the air interface, multiple-input multiple-output (MIMO) and its va
Externí odkaz:
http://arxiv.org/abs/2403.02651
Publikováno v:
Appl. Phys. Lett. 124, 100502 (2024)
Under suitable experimental conditions collective spin-wave excitations, magnons, form a Bose-Einstein condensate (BEC) where the spins precess with a globally coherent phase. Bose-Einstein condensation of magnons has been reported in a few systems,
Externí odkaz:
http://arxiv.org/abs/2312.10119
Inference of the reproduction number through time is of vital importance during an epidemic outbreak. Typically, epidemiologists tackle this using observed prevalence or incidence data. However, prevalence and incidence data alone is often noisy or p
Externí odkaz:
http://arxiv.org/abs/2311.09838
Deep learning has seen a rapid adoption in a variety of wireless communications applications, including at the physical layer. While it has delivered impressive performance in tasks such as channel equalization and receive processing/symbol detection
Externí odkaz:
http://arxiv.org/abs/2310.04956
Publikováno v:
International Journal of Managing Projects in Business, 2024, Vol. 17, Issue 8, pp. 92-118.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJMPB-01-2024-0009
Publikováno v:
International Journal of Contemporary Hospitality Management, 2023, Vol. 36, Issue 9, pp. 2999-3015.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJCHM-03-2023-0434
In this work, we develop excursion theory for the Wright-Fisher diffusion with recurrent mutation. Our construction is intermediate between the classical excursion theory where all excursions begin and end at a single point and the more general appro
Externí odkaz:
http://arxiv.org/abs/2309.16271
Recurrent neural networks (RNNs) are known to be universal approximators of dynamic systems under fairly mild and general assumptions. However, RNNs usually suffer from the issues of vanishing and exploding gradients in standard RNN training. Reservo
Externí odkaz:
http://arxiv.org/abs/2308.02464