A Self-Organizing Memory Neural Network for Aerosol Concentration Prediction
Journal Article
Liu, Q., Zou, Y., & Liu, X. (2019)
A Self-Organizing Memory Neural Network for Aerosol Concentration Prediction. Computer Modeling in Engineering and Sciences, 119(3), 617-637. https://doi.org/10.32604/cmes.2019.06272
Haze-fog, which is an atmospheric aerosol caused by natural or man-made factors, seriously affects the physical and mental health of human beings. PM2.5 (a particulate matter ...
Low-Complexity Non-Intrusive Load Monitoring Using Unsupervised Learning and Generalized Appliance Models
Journal Article
Liu, Q., Kamoto, K. M., Liu, X., Sun, M., & Linge, N. (2019)
Low-Complexity Non-Intrusive Load Monitoring Using Unsupervised Learning and Generalized Appliance Models. IEEE Transactions on Consumer Electronics, 65(1), 1-1. doi:10.1109/tce.2019.2891160
Awareness of electric energy usage has both societal and economic benefits, which include reduced energy bills and stress on non-renewable energy sources. In recent years, the...
Appliance Recognition Based on Continuous Quadratic Programming
Conference Proceeding
Liu, X., & Liu, Q. (2018)
Appliance Recognition Based on Continuous Quadratic Programming. In Proceedings of 4th International Conference on Cloud Computing and Security (ICCCS 2018), (63-72). https://doi.org/10.1007/978-3-030-00018-9_6
The detailed information of residents' electricity consumption is of great significance to the planning of the use of electrical appliances and the reduction of electrical ene...
A Self-organizing LSTM-Based Approach to PM2.5 Forecast
Conference Proceeding
Liu, X., Liu, Q., Zou, Y., & Wang, G. (2018)
A Self-organizing LSTM-Based Approach to PM2.5 Forecast. In Proceedings of the 4th International Conference on Cloud Computing and Security (ICCCS 2018), (683-693). https://doi.org/10.1007/978-3-030-00015-8_59
Nanjing has been listed as the one of the worst performers across China with respect to the high level of haze-fog, which impacts people's health greatly. For the severe condi...
Home appliances classification based on multi-feature using ELM
Journal Article
Wu, Z., Liu, Q., Chen, F., Chen, F., Liu, X., & Linge, N. (2018)
Home appliances classification based on multi-feature using ELM. International Journal of Sensor Networks, 28(1), 34. https://doi.org/10.1504/ijsnet.2018.094710
With the development of science and technology, the application in artificial intelligence has been more and more popular, as well as smart home has become a hot topic. And pa...
A Cognitive-IoE Approach to Ambient-intelligent Smart Home
Conference Proceeding
Jamnal, G., & Liu, X. (2017)
A Cognitive-IoE Approach to Ambient-intelligent Smart Home. In Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security, (302-308). https://doi.org/10.5220/0006304103020308
In today’s world, we are living in busy metropolitan cities and want our homes to be ambient intelligent enough towards our cognitive requirements for assisted living in smart...
An Optimized Speculative Execution Strategy Based on Local Data Prediction in a Heterogeneous Hadoop Environment
Conference Proceeding
Liu, X., & Liu, Q. (2017)
An Optimized Speculative Execution Strategy Based on Local Data Prediction in a Heterogeneous Hadoop Environment. In Proceedings of 2017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC), (128-131). https://doi.org/10.1109/cse-euc.2017.208
Hadoop is a famous distributed computing framework that is applied to process large-scale data. "Straggling tasks" have a serious impact on Hadoop performance due to imbalance...
Evolution Feature Oriented Model Driven Product Line Engineering Approach for Synergistic and Dynamic Service Evolution in Clouds:Four Kinds of Schema
Journal Article
Wang, Z., & Chalmers, K. (2013)
Evolution Feature Oriented Model Driven Product Line Engineering Approach for Synergistic and Dynamic Service Evolution in Clouds:Four Kinds of Schema. Procedia Computer Science, 19, 889-894. https://doi.org/10.1016/j.procs.2013.06.120
The proposed research will focus on developing a novel approach to solve Software Service Evolution problems in Computing Clouds. The approach will support dynamic evolution o...
A rule based taxonomy of dirty data.
Journal Article
Li, L., Peng, T., & Kennedy, J. (2011)
A rule based taxonomy of dirty data. GSTF journal on computing, 1(2), 140-148
There is a growing awareness that high quality of data is a key to today’s business success and that dirty data existing within data sources is one of the causes of poor data ...
Improving data quality in data warehousing applications
Conference Proceeding
Li, L., Peng, T., & Kennedy, J. (2010)
Improving data quality in data warehousing applications. In J. Filipe, & J. Cordeiro (Eds.), Proceedings of the 12th International Conference on Enterprise Information Systems, 379-382. https://doi.org/10.5220/0002903903790382
There is a growing awareness that high quality of data is a key to today’s business success and dirty data that exits within data sources is one of the reasons that cause poor...