Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Tonghai Jiang"'
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 16 (2020)
The architecture model of the Internet of thing system is the primary foundation for the design and implementation of the Internet of thing system. This article discusses the method and practice of time automaton modeling and model checking for the a
Externí odkaz:
https://doaj.org/article/d3404941607e48ec90e33ab4f2256835
Publikováno v:
Applied Sciences, Vol 11, Iss 5, p 2046 (2021)
Distant supervised relation extraction (DSRE) is widely used to extract novel relational facts from plain text, so as to improve the knowledge graph. However, distant supervision inevitably suffers from the noisy labeling problem that will severely d
Externí odkaz:
https://doaj.org/article/e914576d60be4bf4b42f4e40f4a2cb64
Publikováno v:
IEEE Access, Vol 5, Pp 5713-5722 (2017)
Nowadays, data is being generated, collected, and analyzed at an unprecedented scale, data integration is the problem of combining data from heterogeneous, autonomous data sources, and providing users with a unified view of integrated data. To design
Externí odkaz:
https://doaj.org/article/58d0d28dd68049c899a7aa2de33f2ae8
Publikováno v:
Applied Sciences, Vol 10, Iss 12, p 4124 (2020)
For the task of time-series data classification (TSC), some methods directly classify raw time-series (TS) data. However, certain sequence features are not evident in the time domain and the human brain can extract visual features based on visualizat
Externí odkaz:
https://doaj.org/article/52b52e0f1377450db2fda08b545a465a
Publikováno v:
Advances in Multimedia, Vol 2018 (2018)
Vehicle detection and classification are very important for analysis of vehicle behavior in intelligent transportation system, urban computing, etc. In this paper, an approach based on convolutional neural networks (CNNs) has been applied for vehicle
Externí odkaz:
https://doaj.org/article/6c9c23815d9a40e9b2e6104b0435582f
Publikováno v:
Complexity, Vol 2018 (2018)
Protein-protein interactions (PPIs), as an important molecular process within cells, are of pivotal importance in the biochemical function of cells. Although high-throughput experimental techniques have matured, enabling researchers to detect large a
Externí odkaz:
https://doaj.org/article/487b649da00843e5ab95116dd8545662
Publikováno v:
Applied Sciences, Vol 9, Iss 15, p 3195 (2019)
Currently, low-dimensional embedded representation learning models are the mainstream approach in knowledge representation research, due to ease of calculation and ability to utilize the spatial relationship between knowledge areas, which benefit fro
Externí odkaz:
https://doaj.org/article/0c32513e9f6c4ddc9c7af4a123aac267
Publikováno v:
Information, Vol 10, Iss 6, p 202 (2019)
This research was conducted to solve the out-of-vocabulary problem caused by Uyghur spelling errors in Uyghur−Chinese machine translation, so as to improve the quality of Uyghur−Chinese machine translation. This paper assesses three spelling corr
Externí odkaz:
https://doaj.org/article/18e5defb4e2148e5a4b573ff65382b4a
Publikováno v:
Advances in Mechanical Engineering, Vol 5 (2013)
Vehicle-flow detection and tracking by digital image are one of the most important technologies in the traffic monitoring system. Gaussian mixture distribution method is used to eliminate the influence of moving vehicle firstly in this text, and then
Externí odkaz:
https://doaj.org/article/4cbee9b5a1af441da0427cebf1b4ef6a
Publikováno v:
Journal of Computational Methods in Sciences and Engineering. 21:875-890
For abnormal detection of time series data, the supervised anomaly detection methods require labeled data. While the range of outlier factors used by the existing semi-supervised methods varies with data, model and time, the threshold for determining
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f440072341d404a9a11468201d9c505
https://doi.org/10.3233/jcm-204699
https://doi.org/10.3233/jcm-204699