Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Zifei Ma"'
Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 7809 (2024)
A digital twin is a new trend in the development of the current smart water conservancy industry. The main research content of intelligent water conservancy is clarified. This paper first summarizes and combs the relevant system architecture of smart
Externí odkaz:
https://doaj.org/article/1cb76bdd0916465cb4d709032eff4afb
Publikováno v:
Water, Vol 16, Iss 14, p 2038 (2024)
Digital twin technology, a new type of digital technology emerging in recent years, realizes real-time simulation, prediction and optimization by digitally modeling the physical world, providing a new idea and method for the design, operation and man
Externí odkaz:
https://doaj.org/article/5953fdd4df0c42dbb47925d07d5c3915
Publikováno v:
Agronomy, Vol 14, Iss 7, p 1501 (2024)
Crop diseases pose a major threat to agricultural production, quality, and sustainable development, highlighting the importance of early disease risk prediction for effective disease control. Tea anthracnose can easily occur in Yunnan under high-temp
Externí odkaz:
https://doaj.org/article/cad5cea191d0449d81303fbc8803ec1c
Publikováno v:
IEEE Access, Vol 7, Pp 39897-39910 (2019)
In traffic accident, an accurate and timely severity prediction method is necessary for the successful deployment of an intelligent transportation system to provide corresponding levels of medical aid and transportation in a timely manner. The existi
Externí odkaz:
https://doaj.org/article/89fc457f51f54b7f94597046df72f3ff
Publikováno v:
IEEE Access, Vol 7, Pp 146403-146415 (2019)
The abundance of event data in current software configuration management systems makes it possible to discover software process models automatically by using actual observed behavior. However, traditional process mining algorithms cannot be applied t
Externí odkaz:
https://doaj.org/article/c53be28f6f8c4cf6a9178b42dad0ca8a
Publikováno v:
Scientific Programming, Vol 2021 (2021)
Software knowledge community contains a large scale of software knowledge entities with complex structure and rich semantic relations. Semantic relation extraction of software knowledge entities is a critical task for software knowledge graph constru
Publikováno v:
Recent Advances in Computer Science and Communications. 14:1843-1851
Background: Event log data generated in the software development process contains historical information and future trends in software development activities. The mining and analysis of event log data contribute to identify and discover software deve
Publikováno v:
Scientific Programming, Vol 2021 (2021)
Software is rapidly evolving and operates in a changing environment; therefore, in addition to software design and testing, it is essential to observe and understand the software execution behavior by modeling data recorded during the execution of th
The text of software knowledge community contains abundant knowledge of software engineering field. The software knowledge triplet can be extracted automatically and efficiently to form the software knowledge graph, which is helpful for software know
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0679b0cd24fece6ddee758353f8cdd46
https://doi.org/10.21203/rs.3.rs-2182156/v1
https://doi.org/10.21203/rs.3.rs-2182156/v1
Publikováno v:
Information Sciences. 512:1009-1023
In data mining , common classification algorithms cannot effectively learn from imbalanced data . Oversampling addresses this problem by creating data for the minority class in order to balance the class distribution before the model is trained. The