Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Yongqing Zheng"'
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 559-569 (2024)
Major depressive disorder (MDD) is the most common psychological disease. To improve the recognition accuracy of MDD, more and more machine learning methods have been proposed to mining EEG features, i.e. typical brain functional patterns and recogni
Externí odkaz:
https://doaj.org/article/3728c213a3024f6382bea163280f17e2
Publikováno v:
IEEE Access, Vol 7, Pp 13589-13596 (2019)
Joint fraud is one of the most common fraud types existing in medical fraud. However, joint fraud detection is a difficult problem because fraudsters take only a very small part of the population and fraudsters do everything to bypass fraud detection
Externí odkaz:
https://doaj.org/article/7270795b9296453fa2f4e75a7ae2b335
Publikováno v:
International Journal of Crowd Science, Vol 1, Iss 1, Pp 2-8 (2017)
Purpose – The synthetic application and interaction of/between the internet, Internet of Things, cloud computing, big data, Industry 4.0 and other new patterns and new technologies shall breed future Web-based industrial operation system and social
Externí odkaz:
https://doaj.org/article/94497438041c4d5db90323cf00f1e755
Publikováno v:
AI Magazine. 41:33-43
In complete contract theory, the main approach to limit moral hazard is through modifying incentives for the agents. However, such modifications are not always feasible. One prominent example is Chinese government service provision. Over the years, i
Publikováno v:
Future Generation Computer Systems. 105:814-823
Data scaling issue has become a bottleneck in multi-tenancy cloud environment. Fluctuated workloads bring challenges to current automatic data scaling strategies on meeting variable user performance requirements in a shared storage system. To this en
Publikováno v:
IEEE Access, Vol 7, Pp 13589-13596 (2019)
Joint fraud is one of the most common fraud types existing in medical fraud. However, joint fraud detection is a difficult problem because fraudsters take only a very small part of the population and fraudsters do everything to bypass fraud detection
Publikováno v:
BIBM
Mining Electronic Health Records (EHRs) is of great significance to improve the efficiency and quality of medical services. In recent years, researchers have used deep recurrent neural networks to predict patients’ next-period prescriptions. The ma
Publikováno v:
Journal of Luminescence. 241:118478
Ca1.5Sr1.5(PO4)2: Dy3+, Tb3+ phosphors were obtained by hydrothermal synthesis. XRD and SEM verify Dy3+ and Tb3+ into Ca1.5Sr1.5(PO4)2: Dy3+, Tb3+ and the change of morphology in the process of Sr2+ ion occupying Ca2+ sites. The optimum doping concen
Publikováno v:
IJCAI
With the development and adoption of the electricity information tracking system in China, real-time electricity consumption big data have become available to enable artificial intelligence (AI) to help power companies and the urban management depart
Publikováno v:
CSCWD
In real-world, name ambiguity mainly arises when many people share the same name or express their names in the same way, which often causes erroneous aggregation of records of multiple persons with the same name. This name ambiguity problem deteriora