Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Yonglin PU"'
Publikováno v:
Tongxin xuebao, Vol 45, Pp 188-200 (2024)
Focused on the problem that the stream computing platform was suffering from the high energy consumption and low efficiency due to the lack of consideration for energy efficiency in designing process, an energy-efficient optimization strategy based o
Externí odkaz:
https://doaj.org/article/a023d8dcff9746c0b8689df82ba4772a
Publikováno v:
Tongxin xuebao, Vol 44, Pp 205-217 (2023)
Focused on the problem that the planned routes cannot meet the personalized demand of different users in route planning of personalized self-driving tour, a keyword-aware optimal route planning method based on different user interests was proposed.Fi
Externí odkaz:
https://doaj.org/article/1fcb2eee616e4c128b2c1dd946ee7c5b
Publikováno v:
Tongxin xuebao, Vol 41, Pp 92-108 (2020)
In order to solve the problem that the load of big data stream computing platform fluctuates drastically while the cluster was suffering from the performance bottleneck due to the shortage of computing resources,the load prediction based elastic reso
Externí odkaz:
https://doaj.org/article/277a20e6c74a4e3ca7ab6bfcfa4b5152
Publikováno v:
Tongxin xuebao, Vol 40, Pp 68-85 (2019)
Storm is suffering the problems of high energy consumption but low efficiency.Aiming at this problem,the resource constraint model,the optimal principle of data reorganization in executors and node voltage reduction principle were proposed based on t
Externí odkaz:
https://doaj.org/article/ddeebd42ce2f49119cc055e7fa4ee666
Publikováno v:
Tongxin xuebao, Vol 40, Pp 85-101 (2019)
In order to solve the problem that the load of big data stream computing platform is increasing with fluctuation while the cluster was not able to rescale efficiently,the Flow-network based auto rescale strategy for Flink was proposed.Firstly,the flo
Externí odkaz:
https://doaj.org/article/5f9e18bcee684c77a0787b5a14ec430e
Publikováno v:
Frontiers in Bioscience-Landmark, Vol 27, Iss 1, p 016 (2022)
Background: Currently, individual clinical prognostic variables are used sequentially with risk-stratification after TNM staging in clinical practice for the prognostic assessment of patients with NSCLC, which is not effective for estimating the coll
Externí odkaz:
https://doaj.org/article/d9d2a342d8dc4f158c68e12e53e38a3d
Publikováno v:
Tongxin xuebao, Vol 39, Pp 97-117 (2018)
Focused on the problem that traditional energy-efficient strategies never consider about the real time of data processing and transmission,models of directed acyclic graph,parallelism of instance,resource allocation for task and critical path were se
Externí odkaz:
https://doaj.org/article/fb65d244320647deb41c957a9cf0869f
Autor:
Brittany Z. Dashevsky, Chenpeng Zhang, Li Yan, Cindy Yuan, Lingyun Xiong, Yongmei Liu, Haiyan Liu, Feng-Ming Spring Kong, Yonglin Pu
Publikováno v:
European Journal of Hybrid Imaging, Vol 1, Iss 1, Pp 1-10 (2017)
Abstract Purpose TNM Stage 3B encompasses a wide range of primary tumor and nodal metastatic tumor burden. This study aimed to evaluate the prognostic value of quantitative FDG PET/CT parameters in patients with newly diagnosed Stage 3B Non-Small Cel
Externí odkaz:
https://doaj.org/article/4ec4906916044ee58fd2ffab13f428e7
Autor:
Jiangping He, Yangjie Zhang, Maggie Chung, Michael Wang, Kun Wang, Yan Ma, Xiaoyang Ding, Qiang Li, Yonglin Pu
Publikováno v:
Medical Physics.
Autor:
James X. Zhang, Jiangping He, Yan Ma, Jianfeng Meng, Yonglin Pu, Raymond De Guzman, Chin-Tu Chen
Publikováno v:
Medical Care. 58:461-467
Background Prognostic modeling in health care has been predominantly statistical, despite a rapid growth of literature on machine-learning approaches in biological data analysis. We aim to assess the relative importance of variables in predicting ove