Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Guangqi Wen"'
Publikováno v:
Journal of Materials Research and Technology, Vol 18, Iss , Pp 4522-4532 (2022)
In the present study, the influence of V content and tempering temperature on the precipitation behavior of hierarchical martensite and yield strength of petroleum casing steels has been systematically studied. Moreover, the relationship between the
Externí odkaz:
https://doaj.org/article/eb20910c161d475eb0e59428ce93d5f1
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. :1-12
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery. 18:663-673
Finding the biomarkers associated with autism spectrum disorder (ASD) is helpful for understanding the underlying roots of the disorder and can lead to earlier diagnosis and more targeted treatments. In essence, we are faced with two challenges (i) h
Publikováno v:
Applied Intelligence. 53:6978-6991
Publikováno v:
Applied Intelligence. 53:1586-1604
Autor:
Xiaoli Liu, Jinzhu Yang, Hao Jiang, Mingyi Xu, Osmar R. Zaïane, Guangqi Wen, Lanting Li, Peng Cao
Publikováno v:
Neuroinformatics. 20:353-375
Accurate diagnosis of psychiatric disorders plays a critical role in improving the quality of life for patients and potentially supports the development of new treatments. Graph convolutional networks (GCNs) are shown to be successful in modeling app
Publikováno v:
Journal of Materials Engineering and Performance. 30:7917-7925
The impact of cooling rate on austenite stability and mechanical properties of a cold-rolled transformation-induced plasticity (TRIP) steel with nominal chemical composition of Fe-11Mn-4Al-0.2C (wt.%) was elucidated in the present study. Mechanical p
Publikováno v:
Computers in Biology and Medicine. 153:106521
Publikováno v:
2022 The 6th International Conference on Machine Learning and Soft Computing.
Publikováno v:
Medicalbiological engineeringcomputing. 60(7)
The dynamic functional connectivity analysis provides valuable information for understanding functional brain activity underlying different cognitive processes. Modeling spatio-temporal dynamics in functional brain networks is critical for underlying