Zobrazeno 1 - 10
of 125
pro vyhledávání: '"Chandramouli N"'
Autor:
Maciej Tatarczuch, Katharine Louise Lewis, Ashray Gunjur, Briony Shaw, Li Mei Poon, Erin Paul, Matthew Ku, Mark Wong, Sylvia Ai, Ashley Beekman, Pietro R. Di Ciaccio, Michael Krigstein, Joel Wight, Caitlin Coombes, Michael Gilbertson, Amanda Tey, Jake Shortt, Chandramouli Nagarajan, Dipti Talaulikar, Nada Hamad, Sumita Ratnasingam, Shir‐Jing Ho, Tara Cochrane, Eliza A. Hawkes, Chan Y. Cheah, Stephen Opat, Gareth P. Gregory
Publikováno v:
eJHaem, Vol 5, Iss 4, Pp 709-720 (2024)
Abstract Background Despite recent advances, optimal therapeutic approaches applicable to subpopulations with primary central nervous system (CNS) lymphoma outside of clinical trials remain to be determined. Methods We performed a retrospective study
Externí odkaz:
https://doaj.org/article/a25d2050b12d409d88ac6bcc23b32d07
Autor:
Christopher Shwei Wen Tham, Jeffrey Quek, Yeh Ching Linn, Lawrence Ng, Aloysius Ho, Francesca Lim, Yunxin Chen, Chandramouli Nagarajan, William Hwang, Jing Jing Lee, Gina Gan, Shimin Jasmine Chung, Ban Hock Tan, Thuan Tong Tan, Hein Than
Publikováno v:
eJHaem, Vol 5, Iss 4, Pp 907-910 (2024)
Externí odkaz:
https://doaj.org/article/f8326999f2c7487ca817a593bbc49a8d
Akademický článek
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Akademický článek
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Publikováno v:
2021 IEEE International Test Conference (ITC).
Publikováno v:
IOLTS
The reliability of Deep Neural Networks (DNNs) is of great concern due to their widespread use in safety-critical applications. Prior research has focused on adaptation of algorithm based fault tolerance schemes for error detection in the dot product
Autor:
Stenflo, Johan, Holme, Elisabeth, Lindstedt, Sven, Chandramouli, N., Tam, James P., Merrifield, R. B.
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 1989 Jan . 86(2), 444-447.
Externí odkaz:
https://www.jstor.org/stable/33139
Publikováno v:
ITC
The advent of pervasive autonomous systems such as self-driving cars and drones has raised questions about their safety and trustworthiness. This is particularly relevant in the event of on-board subsystem errors or failures. In this research, we sho
Publikováno v:
IOLTS
In this paper we propose a framework for concurrent detection of soft computation errors in particle filters which are finding increasing use in robotics applications. The particle filter works by sampling the multi-variate probability distribution o
Autor:
Xinxin Huang, Gina Pei Ling Gan, Esther Hian Li Chan, Kee Khiang Heng, Susila Perumal, Rohani Salleh, Jessica Mei Ling Teo, Gaoge Xie, Jing Jing Lee, Aloysius Yew Leng Ho, William Ying Khee Hwang, Yeh Ching Linn, Yunxin Chen, Jeffrey Kim Siang Quek, Hein Than, Chandramouli Nagarajan, Francesca Lorraine Wei Inng Lim
Publikováno v:
Haematologica, Vol 108, Iss 11 (2023)
Externí odkaz:
https://doaj.org/article/dcd14c55fa504340b5bc617a5774e803