Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Weirong Xiu"'
Publikováno v:
Case Studies in Thermal Engineering, Vol 38, Iss , Pp 102267- (2022)
Current investigation is related to study of Reiner Philippoff liquid in the presence of ternary hybrid nanoparticles. Applications of tri-hybrid nanoparticles are observed as significant rather than study regarding hybrid nanoparticles as well as na
Externí odkaz:
https://doaj.org/article/9207f3b0fac549b69d33b37331f843d3
Autor:
Weirong Xiu
Publikováno v:
CONVERTER. :579-590
Convolutional neural network based on attention mechanism and a bidirectional independent recurrent neural network tandem joint algorithm (CATIR) are proposed. In natural language processing related technologies, word vector features are extracted ba
Publikováno v:
Journal of Magnetism and Magnetic Materials. 569:170447
Publikováno v:
International Communications in Heat and Mass Transfer. 137:106241
Publikováno v:
2021 International Conference on Computer Engineering and Application (ICCEA).
In order to improve the data mining ability of wireless sensor network communication link, a data mining method of multi-dimensional node combination wireless sensor network communication link based on subspace heterogeneous fusion matching is propos
Publikováno v:
2021 International Conference on Computer Engineering and Application (ICCEA).
In order to improve the data acquisition capability of wireless sensor networks, a data compression sampling technology based on unbalanced data collaborative filtering is proposed. Establishing a data compression sampling state feature analysis mode
Publikováno v:
2020 Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC).
For in memory computing framework, the memory allocation category cannot adjust the proportion of memory according to different data processing scenarios, and there are limitations in terms of memory usage and performance. In order to solve the issue
Publikováno v:
2020 Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC).
In big data parallel computing framework, I/O throughput dominates the performance, especially for data intensive workloads. As an outstanding solution of parallel computation, Spark cache Resilient Distribution Datasets (RDDs) in different nodes to