Shaohua Xu
Orcid: 0000-0002-0422-1180
According to our database1,
Shaohua Xu
authored at least 32 papers
between 2006 and 2024.
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Bibliography
2024
When wavelet decomposition meets external attention: a lightweight cloud server load prediction model.
J. Cloud Comput., December, 2024
Towards optimized scheduling and allocation of heterogeneous resource via graph-enhanced EPSO algorithm.
J. Cloud Comput., December, 2024
A resource optimization scheduling model and algorithm for heterogeneous computing clusters based on GNN and RL.
J. Supercomput., November, 2024
2023
CoRR, 2023
2022
A 3D Grouped Convolutional Network Fused with Conditional Random Field and Its Application in Image Multi-target Fine Segmentation.
Int. J. Comput. Intell. Syst., 2022
An FA-SegNet Image Segmentation Model Based on Fuzzy Attention and Its Application in Cardiac MRI Segmentation.
Int. J. Comput. Intell. Syst., 2022
A dense R-CNN multi-target instance segmentation model and its application in medical image processing.
IET Image Process., 2022
2021
Sci. Program., 2021
A CNN model embedded with local feature knowledge and its application to time-varying signal classification.
Neural Networks, 2021
A weighted fuzzy process neural network model and its application in mixed-process signal classification.
Expert Syst. Appl., 2021
Numerical computational modeling of random rough sea surface based on JONSWAP spectrum and Donelan directional function.
Concurr. Comput. Pract. Exp., 2021
A Generative Adversarial Network Fused with Dual-Attention Mechanism and Its Application in Multitarget Image Fine Segmentation.
Comput. Intell. Neurosci., 2021
A Fuzzy Radial Basis Adaptive Inference Network and Its Application to Time-Varying Signal Classification.
Comput. Intell. Neurosci., 2021
Appl. Intell., 2021
A Fuzzy Radial Basis Inference Network With Grouped Signal Feature Embedding and Its Application in Multi-Source Signals Classification.
IEEE Access, 2021
2020
Inf. Sci., 2020
Briefings Bioinform., 2020
A CNN-RBPNN Model With Feature Knowledge Embedding and its Application to Time-Varying Signal Classification.
IEEE Access, 2020
IEEE Access, 2020
2019
A fuzzy process neural network model and its application in process signal classification.
Neurocomputing, 2019
Automatic sedimentary microfacies identification from logging curves based on deep process neural network.
Clust. Comput., 2019
A radial basis probabilistic process neural network model and corresponding classification algorithm.
Appl. Intell., 2019
A Parallel GRU Recurrent Network Model and its Application to Multi-Channel Time-Varying Signal Classification.
IEEE Access, 2019
IEEE Access, 2019
2018
J. Sensors, 2018
2017
Int. J. Comput. Intell. Syst., 2017
2016
Int. J. Manuf. Res., 2016
2015
Int. J. Comput. Intell. Syst., 2015
2009
Proceedings of the 2009 Third International Conference on Genetic and Evolutionary Computing, 2009
2008
Signal Process. Image Commun., 2008
A New Support Vector Machine Model and Its Application in Time-Varying Signal Classification.
Proceedings of the Fourth International Conference on Natural Computation, 2008
2006
J. Comput. Res. Dev., 2006