Zobrazeno 1 - 10
of 241
pro vyhledávání: '"Royson"'
Publikováno v:
Data in Brief, Vol 54, Iss , Pp 110341- (2024)
This data article provides an extensive dataset obtained from finite element (FE) simulations of microbond (MB) tests. The simulations cover a wide range of structural effects and artifacts that influence the results of the MB tests. A total of 432 s
Externí odkaz:
https://doaj.org/article/78777846458646bfbdba1c6f26afe1ba
Publikováno v:
Current Medical Issues, Vol 21, Iss 1, Pp 68-70 (2023)
We describe a 17-year-old girl who presented with a nontraumatic gradually progressive swelling in the right leg for 2 months. Clinically, there was a diffuse swelling involving the lower third of the lateral aspect of the right leg, which was firm a
Externí odkaz:
https://doaj.org/article/0eb98a1cee664777a64888a8dfcadbbf
Autor:
Royson Dsouza, Nandakumar Menon
Publikováno v:
Journal of Medical Evidence, Vol 3, Iss 2, Pp 170-173 (2022)
Externí odkaz:
https://doaj.org/article/686785a0a4f54222b0a3ca5070897ba2
Data point selection (DPS) is becoming a critical topic in deep learning due to the ease of acquiring uncurated training data compared to the difficulty of obtaining curated or processed data. Existing approaches to DPS are predominantly based on a b
Externí odkaz:
http://arxiv.org/abs/2411.03768
Autor:
Sani, Lorenzo, Iacob, Alex, Cao, Zeyu, Lee, Royson, Marino, Bill, Gao, Yan, Cai, Dongqi, Li, Zexi, Zhao, Wanru, Qiu, Xinchi, Lane, Nicholas D.
Scaling large language models (LLMs) demands extensive data and computing resources, which are traditionally constrained to data centers by the high-bandwidth requirements of distributed training. Low-bandwidth methods like federated learning (FL) co
Externí odkaz:
http://arxiv.org/abs/2411.02908
Autor:
Chen, Hao Mark, Tan, Fuwen, Kouris, Alexandros, Lee, Royson, Fan, Hongxiang, Venieris, Stylianos I.
In spite of the great potential of large language models (LLMs) across various tasks, their deployment on resource-constrained devices remains challenging due to their excessive computational and memory demands. Quantization has emerged as an effecti
Externí odkaz:
http://arxiv.org/abs/2410.13461
Autor:
Royson Dsouza, Paulo Antunes, Markus Kakkonen, Olli Tanhuanpää, Pekka Laurikainen, Farzin Javanshour, Pasi Kallio, Mikko Kanerva
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract Especially the applications of fibrous composites in miniature products, dental and other medical applications require accurate data of microscale mechanics. The characterization of adhesion between single filament and picoliter-scale polyme
Externí odkaz:
https://doaj.org/article/20a2f907115e4e809ce7aa1bdd663a40
Publikováno v:
Christian Journal for Global Health, Vol 8, Iss 1, Pp 78-86 (2021)
The burden of breast cancer has been on the rise world over and has become the most common cancer among women in urban India and the second most common cancer in rural women after carcinoma cervix. There is a considerable delay in presentation, assoc
Externí odkaz:
https://doaj.org/article/aa14ac8d67ab45d2987fe5486d66bc90
Publikováno v:
Christian Journal for Global Health, Vol 8, Iss 1, Pp 72-77 (2021)
Liver abscess continues to be a major surgical burden in low-and mid-low-income countries like India. Spontaneous rupture into the anterior abdominal wall is an uncommon presentation of pyogenic liver abscess. A 53-year-old diabetic female presented
Externí odkaz:
https://doaj.org/article/aa8ab36f5e4f46338d63ab63f3eb79c7
Autor:
Tan, Fuwen, Lee, Royson, Dudziak, Łukasz, Hu, Shell Xu, Bhattacharya, Sourav, Hospedales, Timothy, Tzimiropoulos, Georgios, Martinez, Brais
Large language models (LLMs) have revolutionized language processing, delivering outstanding results across multiple applications. However, deploying LLMs on edge devices poses several challenges with respect to memory, energy, and compute costs, lim
Externí odkaz:
http://arxiv.org/abs/2408.13933