Zobrazeno 1 - 10
of 356
pro vyhledávání: '"FOTV"'
Publikováno v:
Telecommunication Engineering. 8/28/2021, Vol. 61 Issue 8, p1034-1042. 9p.
Autor:
Hanwen Cao1 hanwencao21@163.com, Jun Zhang2 junzhang0805@126.com, Sanping Rao2 raosanping81@sina.com, Chao Yi3 chaoyi1002@126.com, Mengling He3 hem10816@163.com
Publikováno v:
Engineering Letters. Oct2024, Vol. 32 Issue 10, p1939-1946. 8p.
Autor:
Wei, Xuyang1 (AUTHOR) xatu9801@163.com, Wang, Chunyang1,2 (AUTHOR) tearlxl@126.com, Xie, Da2 (AUTHOR) wangchunyang19@163.com, Yuan, Kai2 (AUTHOR) huangtingsheng99@foxmail.com, Liu, Xuelian1 (AUTHOR) 18391666570@163.com, Wang, Zihao1 (AUTHOR), Wang, Xinjian2 (AUTHOR), Huang, Tingsheng2 (AUTHOR)
Publikováno v:
Fractal & Fractional. Sep2023, Vol. 7 Issue 9, p674. 21p.
Autor:
Vázquez Gutiérrez, José Luis
Publikováno v:
UCrea Repositorio Abierto de la Universidad de Cantabria
Universidad de Cantabria (UC)
Universidad de Cantabria (UC)
Máster en Ingeniería Informática
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::07f78276d07dd3b963a73ddc6e24a734
http://hdl.handle.net/10902/20805
http://hdl.handle.net/10902/20805
Autor:
Xie, Da1 (AUTHOR) xieda@mails.cust.edu.cn, Wang, Xinjian1 (AUTHOR) wangxj1114@163.com, Wang, Chunyang1 (AUTHOR) wangchunyang19@163.com, Yuan, Kai1 (AUTHOR), Wei, Xuyang2 (AUTHOR), Liu, Xuelian2 (AUTHOR), Huang, Tingsheng1 (AUTHOR) wangchunyang19@163.com
Publikováno v:
Fractal & Fractional. Jun2023, Vol. 7 Issue 6, p445. 27p.
Autor:
Pablo Sánchez, José Luis Vázquez
Publikováno v:
OpenMP: Enabling Massive Node-Level Parallelism-17th International Workshop on OpenMP, IWOMP 2021, Bristol, UK, September 14–16, 2021, Proceedings
OpenMP: enabling massive node-level parallelism: proceedings 17th International Workshop on OpenMP, IWOMP 2021, Bristol, UK, 170-182
UCrea Repositorio Abierto de la Universidad de Cantabria
instname
OpenMP: Enabling Massive Node-Level Parallelism ISBN: 9783030852610
IWOMP
Lecture Notes in Computer Science
Lecture Notes in Computer Science-OpenMP: Enabling Massive Node-Level Parallelism
OpenMP: enabling massive node-level parallelism: proceedings 17th International Workshop on OpenMP, IWOMP 2021, Bristol, UK, 170-182
UCrea Repositorio Abierto de la Universidad de Cantabria
instname
OpenMP: Enabling Massive Node-Level Parallelism ISBN: 9783030852610
IWOMP
Lecture Notes in Computer Science
Lecture Notes in Computer Science-OpenMP: Enabling Massive Node-Level Parallelism
Since the introduction of the “target” directive in the 4.0 specification, the usage of OpenMP for heterogeneous computing programming has increased significantly. However, the compiler support limits its usage because the code for the accelerate
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Autor:
Xuyang Wei, Chunyang Wang, Da Xie, Kai Yuan, Xuelian Liu, Zihao Wang, Xinjian Wang, Tingsheng Huang
Publikováno v:
Fractal and Fractional, Vol 7, Iss 9, p 674 (2023)
A Geiger-mode avalanche photodiode (GM-APD) laser radar range image has much noise when the signal-to-background ratios (SBRs) are low, making it difficult to recover the real target scene. In this paper, based on the GM-APD lidar denoising model of
Externí odkaz:
https://doaj.org/article/e54001cdbf864d46a869826cf8464db7
Autor:
Bookman, Samantha
Publikováno v:
Fierce Online Video. 8/18/2016, p1-1. 1p. 1 Color Photograph.
Publikováno v:
Fractal and Fractional, Vol 7, Iss 6, p 445 (2023)
High-quality image restoration is typically challenging due to low signal–to–background ratios (SBRs) and limited statistics frames. To address these challenges, this paper devised a method based on fractional-order total variation (FOTV) regular
Externí odkaz:
https://doaj.org/article/9aab1966bbff46709a0a6278669fd5c6