Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Hancui Zhang"'
Publikováno v:
IEEE Photonics Journal, Vol 16, Iss 6, Pp 1-12 (2024)
Compared with conventional imaging methods, Fourier single-pixel imaging (FSPI) has efficient noise immunity, wide spectral coverage, non-local imaging ability and long imaging range. Leveraging FSPI for object detection holds promising applications.
Externí odkaz:
https://doaj.org/article/6d7695b1c34347c9981995cc676d450c
Publikováno v:
Molecules, Vol 29, Iss 12, p 2786 (2024)
Bletilla striata is the dried tuber of B. striata (Thund.) Reichb.f., which has antibacterial, anti-inflammatory, anti-tumor, antioxidant and wound healing effects. Traditionally, it has been used for hemostasis therapy, as well as to treat sores, sw
Externí odkaz:
https://doaj.org/article/40cb291c91f54342971226b33054b3f4
Publikováno v:
IEEE Access, Vol 6, Pp 44927-44933 (2018)
Anomaly detection has been an important topic in cloud platforms to guarantee the dependability and robustness of services in the cloud. Most research works were proposed to tackle the detection performance problems of detection algorithms caused by
Externí odkaz:
https://doaj.org/article/331b615c6a2c4ae2a4eaae526a75496f
Publikováno v:
IEEE Access, Vol 6, Pp 76984-76992 (2018)
The advent of cloud platform has promoted the complexity and scales of industries increasingly. Any deliberate or non-deliberate faults may cause enormous impact on system performance and server costs. Anomaly detection is a good way to identify anom
Externí odkaz:
https://doaj.org/article/f78c0890ca784bb1ac15fa79358533b7
Publikováno v:
PLoS ONE, Vol 12, Iss 11, p e0187488 (2017)
Self-Organizing Map (SOM) algorithm as an unsupervised learning method has been applied in anomaly detection due to its capabilities of self-organizing and automatic anomaly prediction. However, because of the algorithm is initialized in random, it t
Externí odkaz:
https://doaj.org/article/1b6fe1fbd7f647c9bfc29296515e2491
Autor:
Weida Zhou, Hancui Zhang
Publikováno v:
Cluster Computing. 25:203-214
Virtual machine abnormal behavior detection is an effective way to help cloud platform administrators monitor the running status of cloud platform to improve the reliability of cloud platform, which has become one of the research hotspots in the fiel
Autor:
Yeting Huang, Hancui Zhang
Publikováno v:
2021 IEEE 6th International Conference on Smart Cloud (SmartCloud).
Publikováno v:
Natural Product Communications. 17:1934578X2211445
Objectives: Total saponin extracts from the roots of Panax notoginseng have been proven to have anti-inflammatory properties. Dammarane-type saponins isolated from the roots of P notoginseng have been shown to be active inhibitors of nitric oxide (NO
Publikováno v:
IEEE Access, Vol 6, Pp 76984-76992 (2018)
The advent of cloud platform has promoted the complexity and scales of industries increasingly. Any deliberate or non-deliberate faults may cause enormous impact on system performance and server costs. Anomaly detection is a good way to identify anom
Publikováno v:
International Journal of Multimedia and Ubiquitous Engineering. 11:257-270
TFRC (TCP-Friendly Rate Control Protocol) has been recognized as a relatively good mechanism for TCP friendly congestion control on cable network. However, TFRC is sensitive to the network status and cannot actually distinguish congestion losses and