Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Binglei GUO"'
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:
IEEE Access, Vol 9, Pp 110039-110046 (2021)
Neural headline generation models have recently shown great results since neural network methods have been applied to text summarization. In this paper, we focus on news headline generation. We propose a news headline generation model based on a gene
Externí odkaz:
https://doaj.org/article/069553e98974466292e99fcc3e07b923
Publikováno v:
Symmetry, Vol 14, Iss 1, p 55 (2022)
With database management systems becoming complex, predicting the execution time of graph queries before they are executed is one of the challenges for query scheduling, workload management, resource allocation, and progress monitoring. Through the c
Externí odkaz:
https://doaj.org/article/0881570387fb46f9a6322becdcdfc24d
Autor:
BINGLEI GUO1 bingleiguo@stu.xju.edu.cn, JIONG YU2 yujiong@xju.edu.cn, DEXIAN YANG2 107556517108@stu.xju.edu.cn, HONGYONG LENG3 leng@bit.edu.cn, BIN LIAO4 liaobin665@163.com
Publikováno v:
ACM Computing Surveys. Jul2023, Vol. 55 Issue 6, p1-53. 53p.
Publikováno v:
ACM Computing Surveys. 55:1-53
Constructing energy-efficient database systems to reduce economic costs and environmental impact has been studied for 10 years. With the emergence of the big data age, along with the data-centric and data-intensive computing trend, the great amount o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e81a09efe5efa1647468e4c3c7e4a12
https://doi.org/10.1145/3538225
https://doi.org/10.1145/3538225
Publikováno v:
In Journal of Network and Computer Applications February 2015 48:71-86
Autor:
Fangzhi Li, Masao Ikeda, Jianping Liu, Peng Xu, Lei Hu, Wei Zhou, Binglei Guo, Hui Yang, Xuan Li, Aiqin Tian, Dan Wang, Renlin Zhou, Si Wu, Deyao Li
Publikováno v:
Science China Materials. 65:543-546
激光显示、医疗设备及量子通信迫切需求高性能GaN基绿光激光二极管(LD). 研制绿光LD最大的挑战是生长高势能均匀性的InGaN/GaN多量子阱. 我们采用各种光学测量手段对绿光LD结构和芯片进行了
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7811ee3a6b2ef2f5d42c14aa6a14cddc
https://doi.org/10.1007/s40843-021-1804-x
https://doi.org/10.1007/s40843-021-1804-x
Publikováno v:
IEEE Access, Vol 9, Pp 110039-110046 (2021)
Neural headline generation models have recently shown great results since neural network methods have been applied to text summarization. In this paper, we focus on news headline generation. We propose a news headline generation model based on a gene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edbbd0fd360bea3aaebe781cba1c4920
https://doi.org/10.1109/access.2021.3102741
https://doi.org/10.1109/access.2021.3102741
Publikováno v:
Mobile Information Systems, Vol 2020 (2020)
As real-time and immediate feedback becomes increasingly important in tasks related to mobile information, big data stream processing systems are increasingly applied to process massive amounts of mobile data. However, when processing a drastically f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7ce21538f68ba8d05a95368650ef5ab
https://doaj.org/article/3c0e98813b7c4d028828975b644b3219
https://doaj.org/article/3c0e98813b7c4d028828975b644b3219
Publikováno v:
Journal of Network and Computer Applications. 84:118-130
Traditional database systems result in high energy consumption and low energy efficiency due to the lack of consideration of energy issues and environmental adaptation in the design process. In this study, we report our recent efforts on this issue,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::460e8095f0bfe24cff4d4ffe0b9f5db8
https://doi.org/10.1016/j.jnca.2017.02.015
https://doi.org/10.1016/j.jnca.2017.02.015