Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Meiting Xue"'
Publikováno v:
Translational Oncology, Vol 34, Iss , Pp 101696- (2023)
Background: Non-small cell lung cancer (NSCLC) is a leading cause of cancer death. Branched-chain amino acid (BCAA) homeostasis is important for normal physiological metabolism. Branched-chain keto acid dehydrogenase kinase (BCKDK) is a rate-limiting
Externí odkaz:
https://doaj.org/article/e901ebc962ec46f1b4b41500eec27dcd
Publikováno v:
Journal of Marine Science and Engineering, Vol 10, Iss 12, p 1952 (2022)
With the widespread use of automatic identification systems (AISs), some ships use deceptive information or intentionally close their AISs to conceal their illegal activities or evade the supervision of maritime departments. Although radar measuremen
Externí odkaz:
https://doaj.org/article/74d2c7ced9924eb5937e3ff017b42822
Publikováno v:
Applied Sciences, Vol 12, Iss 23, p 12458 (2022)
As semiconductor technology evolves, computing platforms attempt to integrate hundreds of processing cores and associated interconnects into a single chip. Network-on-chip (NoC) technology has been widely used for data exchange centers in recent year
Externí odkaz:
https://doaj.org/article/2528241130a745d1afc9adf47c61077b
Autor:
Wenhui Shi, Meiting Xue, Xin Qian, Xilian Xu, Xinlong Gao, Dong Zheng, Wenxian Liu, Fangfang Wu, Congjie Gao, Jiangnan Shen, Xiehong Cao
Publikováno v:
Global Challenges, Vol 5, Iss 8, Pp n/a-n/a (2021)
Abstract Capacitive deionization (CDI) as a novel energy and cost‐efficient water treatment technology has attracted increasing attention. The recent development of various faradaic electrode materials has greatly enhanced the performance of CDI as
Externí odkaz:
https://doaj.org/article/a47d4b9666cf47f59f2a918d13c0503d
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :1372-1376
Publikováno v:
IEEE Transactions on Reliability. :1-13
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences.
Autor:
Yan Zeng, Guangzheng Yi, Yuyu Yin, Jiyang Wu, Meiting Xue, Jilin Zhang, Jian Wan, Yunquan Zhang
Publikováno v:
2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys).
Publikováno v:
2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys).
In a distributed deep learning system based on mobile service computing, there may be differences in performance between computing nodes, which may be affected by the external environment, resulting in training interruption or low convergence speed.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f28a4f3fa223af5f528352f854a236bd
https://doi.org/10.21203/rs.3.rs-1768291/v1
https://doi.org/10.21203/rs.3.rs-1768291/v1