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SMK-means: An Improved Mini Batch K-means Algorithm Based on Mapreduce with Big Data

Journal Article
Xiao, B., Wang, Z., Liu, Q., & Liu, X. (2018)
SMK-means: An Improved Mini Batch K-means Algorithm Based on Mapreduce with Big Data. Computers, Materials & Continua, 56(3), 365-379. https://doi.org/10.3970/cmc.2018.01830
In recent years, the rapid development of big data technology has also been favored by more and more scholars. Massive data storage and calculation problems have also been sol...

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...

A survey on rainfall forecasting using artificial neural network

Journal Article
Liu, Q., Zou, Y., Liu, X., & Linge, N. (2019)
A survey on rainfall forecasting using artificial neural network. International Journal of Embedded Systems, 11(2), 240-249. https://doi.org/10.1504/ijes.2018.10016095
Rainfall has a great impact on agriculture and people’s daily travel, so accurate prediction of precipitation is well worth studying for researchers. Traditional methods like ...

A Dual-spine Approach to Load Error Repair in a HEMS Sensor Network

Journal Article
Liu, X., Liu, Q., & Sun, M. (2018)
A Dual-spine Approach to Load Error Repair in a HEMS Sensor Network. Computers, Materials & Continua, 57(2), 179-194. https://doi.org/10.32604/cmc.2018.04025+
In a home energy management system (HEMS), appliances are becoming diversified and intelligent, so that certain simple maintenance work can be completed by appliances themselv...

A method for electric load data verification and repair in home environment

Journal Article
Liu, Q., Li, S., Liu, X., & Linge, N. (2018)
A method for electric load data verification and repair in home environment. International Journal of Embedded Systems, 10(3), 248-256. https://doi.org/10.1504/ijes.2018.091788
Home energy management (HEM) and smart home have been popular among people; HEM collects and analyses the electric load data to make the power use safe, reliable, economical, ...

Non-intrusive load monitoring and its challenges in a NILM system framework

Journal Article
Liu, Q., Lu, M., Liu, X., & Linge, N. (2019)
Non-intrusive load monitoring and its challenges in a NILM system framework. International Journal of High Performance Computing and Networking, 14(1), 102-111. https://doi.org/10.1504/IJHPCN.2019.099748
With the increasing of energy demand and electricity price, researchers gain more and more interest among the residential load monitoring. In order to feed back the individual...

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...

A Review on Deep Learning Approaches to Image Classification and Object Segmentation

Journal Article
Wu, H., Liu, Q., & Liu, X. (2019)
A Review on Deep Learning Approaches to Image Classification and Object Segmentation. Computers, Materials & Continua, 60(2), 575-597. https://doi.org/10.32604/cmc.2019.03595
Deep learning technology has brought great impetus to artificial intelligence, especially in the fields of image processing, pattern and object recognition in recent years. Pr...

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 ...