Zobrazeno 1 - 10
of 10 262
pro vyhledávání: '"Henriksen P"'
Autor:
Henriksen, R N, Emslie, A G
We embed an object with a singular horizon structure, reminiscent of (but fundamentally different from, except in a limiting case) a black-hole event horizon, in an expanding, spherically symmetric, homogeneous, Universe that has a positive cosmologi
Externí odkaz:
http://arxiv.org/abs/2407.01385
This paper introduces Deep HM-SORT, a novel online multi-object tracking algorithm specifically designed to enhance the tracking of athletes in sports scenarios. Traditional multi-object tracking methods often struggle with sports environments due to
Externí odkaz:
http://arxiv.org/abs/2406.12081
Autor:
Henriksen, Mark J., Mejia, Mateo
Publikováno v:
IJAA, 2024, 14, 85 - 100
We have investigated the role that different galaxy types have in galaxy-galaxy interactions in compact groups. N-body simulations of 6 galaxies consisting of a differing mixture of galaxy types were run to compare the relative importance of galaxy p
Externí odkaz:
http://arxiv.org/abs/2405.00167
Autor:
Liu, Zhongyuan, Gong, Ruotian, Huang, Benchen, Jin, Yu, Du, Xinyi, He, Guanghui, Janzen, Eli, Yang, Li, Henriksen, Erik, Edgar, James, Galli, Giulia, Zu, Chong
The negatively charged boron-vacancy center ($\mathrm{V}_{\mathrm{B}}^-$) in hexagonal boron nitride (hBN) has recently emerged as a highly promising quantum sensor. Compared to the nitrogen-vacancy (NV) center in diamond, the change with temperature
Externí odkaz:
http://arxiv.org/abs/2404.15493
Autor:
Goumarre, Vincent, Amarasinghe, Yasith, Henriksen, Martin Lahn, Hinge, Mogens, Klarskov, Pernille
With the development of terahertz time-domain spectroscopy, methods have been proposed to precisely estimate the thickness, refractive index, and attenuation coefficient of a sample. In this article, we propose a new method to compute these parameter
Externí odkaz:
http://arxiv.org/abs/2403.18531
As deep learning (DL) models are increasingly being integrated into our everyday lives, ensuring their safety by making them robust against adversarial attacks has become increasingly critical. DL models have been found to be susceptible to adversari
Externí odkaz:
http://arxiv.org/abs/2403.09441
Autor:
Flyckt, Ricco Noel Hansen, Sjodsholm, Louise, Henriksen, Margrethe Høstgaard Bang, Brasen, Claus Lohman, Ebrahimi, Ali, Hilberg, Ole, Hansen, Torben Frøstrup, Wiil, Uffe Kock, Jensen, Lars Henrik, Peimankar, Abdolrahman
Lung cancer (LC) remains the primary cause of cancer-related mortality, largely due to late-stage diagnoses. Effective strategies for early detection are therefore of paramount importance. In recent years, machine learning (ML) has demonstrated consi
Externí odkaz:
http://arxiv.org/abs/2402.09596
We offer theoretical predictions for the frequency of the resonant frequency of transport for the hydrodynamic description of bilayer graphene, as well as provide quantification for the relative strength of this signal throughout phase space. Our cal
Externí odkaz:
http://arxiv.org/abs/2402.02231
Autor:
Henriksen, Mark J., Panda, Prajwal
Publikováno v:
ApJL 961 L36 (2024)
We use 3-D K Means clustering to characterize galaxy substructure in the Abell 2146 cluster of galaxies (z = 0.2343). This method objectively characterizes the cluster's substructure using projected position and velocity data for 67 galaxies within a
Externí odkaz:
http://arxiv.org/abs/2402.00139
Autor:
Iyer, Shiva, Yao, Changyu, Lazorik, Olivia, Wang, Pengyun, Glenn, Gianna, Mohs, Michael, Shi, Yinyao, Mansour, Michael, Henriksen, Erik, Murch, Kater, Mukherji, Shankar, Zu, Chong
Probing electrical and magnetic properties in aqueous environments remains a frontier challenge in nanoscale sensing. Our inability to do so with quantitative accuracy imposes severe limitations, for example, on our understanding of the ionic environ
Externí odkaz:
http://arxiv.org/abs/2401.17372