Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Nengfu Xie"'
MCAGCN: Multi‐component attention graph convolutional neural network for road travel time prediction
Publikováno v:
IET Intelligent Transport Systems, Vol 18, Iss 1, Pp 139-153 (2024)
Abstract With the development of intelligent transportation technology, road travel time prediction has become an important research direction. Owing to the complex periodic dependence and non‐linear features of road travel time series, achieving a
Externí odkaz:
https://doaj.org/article/e31abcf463814809bad56d7fe0d272fb
Publikováno v:
IEEE Access, Vol 8, Pp 9441-9456 (2020)
Emergency response plans are regarded as effective guidance for natural disasters and these plans describe emergency response processes in natural language. More specifically, they are textual process descriptions and describe not only how all depart
Externí odkaz:
https://doaj.org/article/ea47df475a644967a8d50a2d31618e2b
Publikováno v:
IEEE Access, Vol 8, Pp 12999-13010 (2020)
Textual descriptions of business process models are used as guidance for business executives. While it makes process models much easier to understand, missing procedural text is an important practical problem. In this paper, we propose a method of re
Externí odkaz:
https://doaj.org/article/9fdd1951a16d4605b66b7dbdd9ef7fb9
Publikováno v:
IEEE Access, Vol 7, Pp 76789-76805 (2019)
With the development of computer science and technology, there is an urgent demand on integration of heterogeneous data focus on personalized information service. In this paper, we explore two aspects on the usage of the heterogeneous data stored in
Externí odkaz:
https://doaj.org/article/129a72ee5b3a4889833626ddebfb0e3c
Publikováno v:
Data Science Journal, Vol 14 (2015)
The web service composition execution engine is a critical problem for web service composition. Based on Petri net and the analysis of structural relationships among web services, the invocation sequence of web service composition and its related inv
Externí odkaz:
https://doaj.org/article/ca1b8c50e6c847c2bad7b5c1f4be0570
Publikováno v:
Data Science Journal, Vol 14 (2015)
The object of our research is to develop an ontology-based agricultural knowledge fusion method that can be used as a comprehensive basis on which to solve agricultural information inconsistencies, analyze data, and discover new knowledge. A recent s
Externí odkaz:
https://doaj.org/article/3de40427881f436dbd58c1004b14f6fa
Publikováno v:
Data Science Journal, Vol 14 (2015)
Big data has attracted extensive interest due to its potential tremendous social and scientific value. Researchers are also trying to extract potential value from agriculture big data. This paper presents a study of information services based on big
Externí odkaz:
https://doaj.org/article/269478de74054701a7f66160bcd8c491
Publikováno v:
Multimedia Tools and Applications. 80:17335-17363
With the advances and development of imaging and computer technologies, the application of artificial intelligence (AI) in the processing of magnetic resonance imaging (MRI) data has become a significant research field. Based on 2572 research article
Publikováno v:
IEEE Access, Vol 8, Pp 12999-13010 (2020)
Textual descriptions of business process models are used as guidance for business executives. While it makes process models much easier to understand, missing procedural text is an important practical problem. In this paper, we propose a method of re
Publikováno v:
IEEE Access, Vol 8, Pp 9441-9456 (2020)
Emergency response plans are regarded as effective guidance for natural disasters and these plans describe emergency response processes in natural language. More specifically, they are textual process descriptions and describe not only how all depart