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pro vyhledávání: '"Jones Edward"'
Hyperspectral Imaging (HSI) is known for its advantages over traditional RGB imaging in remote sensing, agriculture, and medicine. Recently, it has gained attention for enhancing Advanced Driving Assistance Systems (ADAS) perception. Several HSI data
Externí odkaz:
http://arxiv.org/abs/2410.22101
Autor:
Davies, Emma E., Rüdisser, Hannah T., Amerstorfer, Ute V., Möstl, Christian, Bauer, Maike, Weiler, Eva, Amerstorfer, Tanja, Majumdar, Satabdwa, Hess, Phillip, Weiss, Andreas J., Reiss, Martin A., Green, Lucie M., Long, David M., Nieves-Chinchilla, Teresa, Trotta, Domenico, Horbury, Timothy S., O'Brien, Helen, Fauchon-Jones, Edward, Morris, Jean, Owen, Christopher J., Bale, Stuart D., Kasper, Justin C.
As both Parker Solar Probe (PSP) and Solar Orbiter (SolO) reach heliocentric distances closer to the Sun, they present an exciting opportunity to study the structure of CMEs in the inner heliosphere. We present an analysis of the global flux rope str
Externí odkaz:
http://arxiv.org/abs/2405.10810
This paper presents a new methodology to alleviate the fundamental trade-off between accuracy and latency in spiking neural networks (SNNs). The approach involves decoding confidence information over time from the SNN outputs and using it to develop
Externí odkaz:
http://arxiv.org/abs/2303.10276
Autor:
Hamilton, Eleanor, Fauchon-Jones, Edward, Hannam, Mark, Hoy, Charlie, Kalaghatgi, Chinmay, London, Lionel, Thompson, Jonathan E., Yeeles, Dave, Ghosh, Shrobana, Khan, Sebastian, Kolitsidou, Panagiota, Vano-Vinuales, Alex
We present a public catalogue of numerical-relativity binary-black-hole simulations. The catalogue contains datasets from 80 distinct configurations of precessing binary-black-hole systems, with mass ratios up to $m_2/m_1 = 8$, dimensionless spin mag
Externí odkaz:
http://arxiv.org/abs/2303.05419
Autor:
Das, Arindam, Das, Sudip, Sistu, Ganesh, Horgan, Jonathan, Bhattacharya, Ujjwal, Jones, Edward, Glavin, Martin, Eising, Ciarán
Publikováno v:
In proceedings of the IEEE 2023 International Conference on Image Processing
Multimodal learning, particularly for pedestrian detection, has recently received emphasis due to its capability to function equally well in several critical autonomous driving scenarios such as low-light, night-time, and adverse weather conditions.
Externí odkaz:
http://arxiv.org/abs/2302.12589