Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Tianqing Wang"'
Publikováno v:
IEEE Transactions on Industrial Electronics. 70:10923-10934
Publikováno v:
IEEE Transactions on Industrial Electronics. 70:11055-11066
Discrete Sliding-Mode-Based MRAS for Speed-Sensorless Induction Motor Drives in the High-Speed Range
Publikováno v:
IEEE Transactions on Power Electronics. 38:5777-5790
Autor:
Tianqing Wang
Publikováno v:
Journal of Education, Humanities and Social Sciences. 7:175-179
Under the social background of urban-rural relationship reconstruction, the hollowing out of traditional villages is developing rapidly, which makes the traditional residential buildings in China uninhabited and unrepaired due to the influence of eco
Publikováno v:
IEEE Transactions on Power Electronics. :1-12
Publikováno v:
IEEE Transactions on Industrial Electronics. 69:12292-12304
Autor:
Tianqing Wang, Chuan Xin, Shiyu Zhang, Yujie Shi, Xikun Zhou, Xin Tian, Dan Yang, Yuan Ren, Yuting Hu, Yufei Hua, Ying Wang, Jiongke Wang, Ning Ji, Qianming Chen, Xin Zeng, Jing Li
Background: Head and neck squamous cell cancer (HNSCC) is the most prevalent head and neck malignancy. Chemoresistance is a major challenge in the treatment of advanced HNSCC. Circular RNAs (circRNAs) are essential for the development of cancer and c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0068e6223802e91cff2d2af94b0e8d8d
https://doi.org/10.21203/rs.3.rs-2472879/v1
https://doi.org/10.21203/rs.3.rs-2472879/v1
Publikováno v:
2022 IEEE 7th International Conference on Smart Cloud (SmartCloud).
Autor:
Shifu Li, Lianyuan Jin, Tianqing Wang, Xinyang Zhao, Xuanhe Zhou, Ji Sun, Jianhua Feng, Luyang Liu, Kun Li, Xiang Yu
Publikováno v:
Proceedings of the VLDB Endowment. 14:2743-2746
We demonstrate a self-driving system DBMind, which provides three autonomous capabilities in database, including self-monitoring, self-diagnosis and self-optimization. First, self-monitoring judiciously collects database metrics and detects anomalies
Autor:
Guoliang Li, Yue Han, Lianyuan Jin, Xuanhe Zhou, Tianqing Wang, Wenbo Li, Xiang Yu, Shifu Li, Ji Sun
Publikováno v:
Proceedings of the VLDB Endowment. 14:3028-3042
Although learning-based database optimization techniques have been studied from academia in recent years, they have not been widely deployed in commercial database systems. In this work, we build an autonomous database framework and integrate our pro