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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...

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...

MaTSE: the gene expression time-series explorer.

Journal Article
Craig, P., Cannon, A., Kukla, R., & Kennedy, J. (2013)
MaTSE: the gene expression time-series explorer. BMC bioinformatics, 14, https://doi.org/10.1186/1471-2105-14-S19-S1
Background High throughput gene expression time-course experiments provide a perspective on biological functioning recognized as having huge value for the diagnosis, treatmen...

Selection methods and diversity preservation in many-objective evolutionary algorithms

Journal Article
Martí, L., Segredo, E., Sánchez-Pi, N., & Hart, E. (2018)
Selection methods and diversity preservation in many-objective evolutionary algorithms. Data Technologies and Applications, https://doi.org/10.1108/dta-01-2018-0009
Purpose – One of the main components of multi-objective, and therefore, many-objective evolutionary algorithms is the selection mechanism. It is responsible for performing two...

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...

Alting barriers: synchronisation with choice in Java using JCSP

Journal Article
Welch, P., Brown, N., Moores, J., Chalmers, K., & Sputh, B. (2010)
Alting barriers: synchronisation with choice in Java using JCSP. Concurrency and Computation: Practice and Experience, 22(8), 1049-1062. https://doi.org/10.1002/cpe.1471
Communicating Sequential Processes for Java (JCSP) is a mature library that implements CSP-derived concurrency primitives in Java. A JCSP system is a hierarchical network of a...

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 ...

On Constructing Ensembles for Combinatorial Optimisation

Journal Article
Hart, E., & Sim, K. (2018)
On Constructing Ensembles for Combinatorial Optimisation. Evolutionary Computation, 26(1), 67-87. https://doi.org/10.1162/evco_a_00203
Although the use of ensemble methods in machine-learning is ubiquitous due to their proven ability to outperform their constituent algorithms, ensembles of optimisation algori...

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 ...

Modelling saturated traffic networks using massively parallel computing techniques

Journal Article
Lu, K., Jones, J., & Kerridge, J. (1994)
Modelling saturated traffic networks using massively parallel computing techniques. Traffic engineering & control, 35(7/8), 433-436
A technique for modelling the flow of motor vehicle traffic in congested urban signal-controlled networks using parallel computing is presented. A brief overview of traffic si...