Zobrazeno 1 - 10
of 2 333
pro vyhledávání: '"Connick A"'
Publikováno v:
Adapted Physical Activity Quarterly; Oct2024, Vol. 41 Issue 4, p593-610, 18p
In this follow-up paper, we investigate the use of Convolutional Neural Network for deriving stellar parameters from observed spectra. Using hyperparameters determined previously, we have constructed a Neural Network architecture suitable for the der
Externí odkaz:
http://arxiv.org/abs/2210.17470
Autor:
Nevin John, Jeremy Chataway, Jacqueline Palace, Gavin Giovannoni, David Paling, Frederik Barkhof, Floriana De Angelis, Lorraine Smith, Thomas Williams, Martin Duddy, James Overell, Basil Sharrack, Sebastien Ourselin, Allan Walker, Siddharthan Chandran, Richard Nicholas, Shuna Colville, Peter Connick, Carolyn Young, Jeremy Hobart, Anisha Doshi, Sharmilee Gnanapavan, Helen Ford, Baljean Dhillon, Thanh Phan, Arman Eshaghi, Julia Aram, Nigel Stallard, James Cameron, Brendan McLean, Matthew Craner, Domenico Plantone, Jonathan Stutters, Ferran Prados Carrasco, Marie Braisher, Moira Ross, Gina Cranswick, Sue H Pavitt, Clive Hawkins, Roger Bastow, Daisy Mollison, Waqar Rashid, Joe Guadagno, Nikolaos Evangelou, Seema Kalra, Alberto Calvi, Yingtong Li, Tiggy Beyene, Vanessa Bassan, Alvin Zapata, Dawn Lyle, Heinke Arndt
Publikováno v:
BMJ Neurology Open, Vol 6, Iss 2 (2024)
Background The brain reserve hypothesis posits that larger maximal lifetime brain growth (MLBG) may confer protection against physical disability in multiple sclerosis (MS). Larger MLBG as a proxy for brain reserve, has been associated with reduced p
Externí odkaz:
https://doaj.org/article/03779c5cc9264a67966bb74f4a5ef24d
Autor:
Fuchs, Robert M., Reed, James R., Connick, J. Patrick, Paloncýová, Markéta, Šrejber, Martin, Čechová, Petra, Otyepka, Michal, Eyer, Marilyn K., Backes, Wayne L.
Publikováno v:
In Journal of Biological Chemistry November 2024 300(11)
Autor:
Connick, Rachel C., Hirst, Charles A., Woller, Kevin B., Nguyen, Avery K., Logan, Julie V., Kemp, R. Scott, Short, Michael P.
Publikováno v:
In Radiation Physics and Chemistry January 2025 226
Machine Learning is an efficient method for analyzing and interpreting the increasing amount of astronomical data that is available. In this study, we show, a pedagogical approach that should benefit anyone willing to experiment with Deep Learning te
Externí odkaz:
http://arxiv.org/abs/2201.12476
Autor:
Connick, Rachel C., Hirst, Charles A., Woller, Kevin B., Logan, Julie V., Kemp, R. Scott, Short, Michael P.
Every country that has made nuclear weapons has used uranium enrichment. Despite the centrality of this technology to international security, there is still no reliable physical marker of past enrichment that can be used to perform forensic verificat
Externí odkaz:
http://arxiv.org/abs/2107.08313
Autor:
Eubank, Breda H.F., Sheps, David M., Dennett, Liz, Connick, Abbie, Bouliane, Martin, Panu, Anukul, Harding, Graeme, Beaupre, Lauren A.
Publikováno v:
In Journal of Shoulder and Elbow Surgery March 2024 33(3):e126-e152
Publikováno v:
In Science et Sports March 2024 39(2):129-143
Publikováno v:
In Drug Metabolism and Disposition October 2024