Zobrazeno 1 - 10
of 28 352
pro vyhledávání: '"ALEXANDER, A. L."'
Autor:
Turgeson, Susan M.1 susan.turgeson@uwsp.edu
Publikováno v:
Family & Consumer Sciences Research Journal. Dec2018, Vol. 47 Issue 2, p187-190. 4p.
Autor:
Shang, Liang, Lou, Zhengyang, Alexander, Andrew L., Prabhakaran, Vivek, Sethares, William A., Nair, Veena A., Adluru, Nagesh
Deep neural networks have demonstrated exceptional efficacy in stroke lesion segmentation. However, the delineation of small lesions, critical for stroke diagnosis, remains a challenge. In this study, we propose two straightforward yet powerful appro
Externí odkaz:
http://arxiv.org/abs/2408.02929
Autor:
Elena А. Osipova
Publikováno v:
Два века русской классики, Vol 1, Iss 1, Pp 148-157 (2019)
The review examines the “Slavic” articles of the scientific collection “Classics and modernity: Gogol, Turgenev, Gorky” (Belgrade, Moscow, Tyumen, Voronezh, 2018). Their analysis makes it possible to clarify certain topics of Serbian literatu
Externí odkaz:
https://doaj.org/article/ebd0fa597c284019b2d904fc7977b15f
Autor:
McDonald, Iain, Zijlstra, Albert A., Cox, Nick L. J., Alexander, Emma L., Csukai, Alexander, Ramkumar, Ria, Hollings, Alexander
Stellar atmosphere modelling predicts the luminosity and temperature of a star, together with parameters such as the effective gravity and the metallicity, by reproducing the observed spectral energy distribution. Most observational data comes from p
Externí odkaz:
http://arxiv.org/abs/2402.12496
Autor:
Hasan-Rokem, Galit
Publikováno v:
Journal of Jewish Languages; January 2023, Vol. 11 Issue: 1 p1-4, 4p
Autor:
Bowles, Micah, Tang, Hongming, Vardoulaki, Eleni, Alexander, Emma L., Luo, Yan, Rudnick, Lawrence, Walmsley, Mike, Porter, Fiona, Scaife, Anna M. M., Slijepcevic, Inigo Val, Adams, Elizabeth A. K., Drabent, Alexander, Dugdale, Thomas, Gürkan, Gülay, Hopkins, Andrew M., Jimenez-Andrade, Eric F., Leahy, Denis A., Norris, Ray P., Rahman, Syed Faisal ur, Ouyang, Xichang, Segal, Gary, Shabala, Stanislav S., Wong, O. Ivy
We present a novel natural language processing (NLP) approach to deriving plain English descriptors for science cases otherwise restricted by obfuscating technical terminology. We address the limitations of common radio galaxy morphology classificati
Externí odkaz:
http://arxiv.org/abs/2304.07171
Autor:
Chung, Moo K., Azizi, Tahmineh, Hanson, Jamie L., Alexander, Andrew L., Davidson, Richard J., Pollak, Seth D.
Childhood maltreatment may adversely affect brain development and consequently influence behavioral, emotional, and psychological patterns during adulthood. In this study, we propose an analytical pipeline for modeling the altered topological structu
Externí odkaz:
http://arxiv.org/abs/2304.05908
Autor:
Pedro Doll, Gillian M. Turner, Ben M. Kennedy, Alexander R. L. Nichols, Annika Greve, Jim W. Cole, Shaun R. Eaves, Dougal B. Townsend, Graham S. Leonard, Chris E. Conway
Publikováno v:
Geochemistry, Geophysics, Geosystems, Vol 25, Iss 9, Pp n/a-n/a (2024)
Abstract Dating young lava flows is essential for understanding volcano's eruption frequency, yet challenging due to methodological limitations of commonly used dating techniques. Ruapehu (Aotearoa New Zealand) produced many lava flows during the Hol
Externí odkaz:
https://doaj.org/article/e3dc73973d8c4fccbb70aa49c87ad9d9
Autor:
Bowles, Micah, Tang, Hongming, Vardoulaki, Eleni, Alexander, Emma L., Luo, Yan, Rudnick, Lawrence, Walmsley, Mike, Porter, Fiona, Scaife, Anna M. M., Slijepcevic, Inigo Val, Segal, Gary
We define deriving semantic class targets as a novel multi-modal task. By doing so, we aim to improve classification schemes in the physical sciences which can be severely abstracted and obfuscating. We address this task for upcoming radio astronomy
Externí odkaz:
http://arxiv.org/abs/2210.14760
Autor:
Segal, Gary, Parkinson, David, Norris, Ray, Hopkins, Andrew M., Andernach, Heinz, Alexander, Emma L., Carretti, Ettore, Koribalski, Bärbel S., Legodi, Letjatji S., Leslie, Sarah, Luo, Yan, Pierce, Jonathon C. S., Tang, Hongming, Vardoulaki, Eleni, Vernstrom, Tessa
Publikováno v:
MNRAS 521, 1429-1447 (2023)
The Evolutionary Map of the Universe (EMU) large-area radio continuum survey will detect tens of millions of radio galaxies, giving an opportunity for the detection of previously unknown classes of objects. To maximise the scientific value and make n
Externí odkaz:
http://arxiv.org/abs/2206.14677