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2020 – today
- 2024
[j10]Youwu Zhang, Yongquan Yan, R. Lakshmana Kumar, Sapna Juneja:
Improving college ideological and political education based on deep learning. Int. J. Inf. Commun. Technol. 24(4): 431-447 (2024)- 2022
- [j9]Yongquan Yan
:
Performance analysis with self-organizing map and recurrent neural network. Int. J. Model. Simul. Sci. Comput. 13(6): 2250059:1-2250059:18 (2022) - 2021
- [j8]Yongquan Yan, Yu Zhu, Yanjun Li:
Performance Analysis Using a Deep Belief Network by a Self-Organizing Map. Int. J. Comput. Intell. Appl. 20(1): 2150007:1-2150007:20 (2021) - [j7]Yongquan Yan, Yanjun Li, Bin Cheng:
Predicting Software Aging With a Hybrid Weight-Based Method. J. Inf. Technol. Res. 14(4): 58-69 (2021) - 2020
- [j6]Yongquan Yan:
Software ageing prediction using neural network with ridge. IET Softw. 14(5): 517-524 (2020) - [j5]Yongquan Yan:
Software Aging Forecast Using Recurrent SOM with Local Model. J. Inf. Technol. Res. 13(1): 30-43 (2020)
2010 – 2019
- 2018
- [j4]Yongquan Yan:
Variance analysis of software ageing problems. IET Softw. 12(1): 41-48 (2018) - [j3]Yongquan Yan, Ping Guo, Bin Cheng, Zhigao Zheng:
An experimental case study on the relationship between workload and resource consumption in a commercial web server. J. Comput. Sci. 25: 183-192 (2018) - 2016
- [j2]Yongquan Yan, Ping Guo:
Predicting Software Abnormal State by using Classification Algorithm. J. Database Manag. 27(2): 49-65 (2016) - [j1]Yongquan Yan, Ping Guo:
使用混合模型预测Web服务器中的资源消耗 (Predicting Resource Consumption in Web Server Using Hybrid Model). 计算机科学 43(10): 47-52 (2016) - 2014
- [c2]Yongquan Yan, Ping Guo, Lifeng Liu:
A Novel Hybridization of Artificial Neural Networks and ARIMA Models for Forecasting Resource Consumption in an IIS Web Server. ISSRE Workshops 2014: 437-442 - [c1]Yongquan Yan, Ping Guo, Lifeng Liu:
A Practice of Forecasting Software Aging in an IIS Web Server Using SVM. ISSRE Workshops 2014: 443-448
Coauthor Index
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