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Deep Learning and Dempster-Shafer Theory Based Insider Threat Detection

Journal Article
Tian, Z., Shi, W., Tan, Z., Qiu, J., Sun, Y., Jiang, F., & Liu, Y. (in press)
Deep Learning and Dempster-Shafer Theory Based Insider Threat Detection. Mobile Networks and Applications, https://doi.org/10.1007/s11036-020-01656-7
Organizations' own personnel now have a greater ability than ever before to misuse their access to critical organizational assets. Insider threat detection is a key component ...

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 ...

Urban data management system: Towards Big Data analytics for Internet of Things based smart urban environment using customized Hadoop

Journal Article
Babar, M., Arif, F., Jan, M. A., Tan, Z., & Khan, F. (2019)
Urban data management system: Towards Big Data analytics for Internet of Things based smart urban environment using customized Hadoop. Future Generation Computer Systems, 96, 398-409. https://doi.org/10.1016/j.future.2019.02.035
The unbroken amplfi cation of a versatile urban setup is challenged by huge Big Data processing. Understanding the voluminous data generated in a smart urban environment for d...

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...

NgramPOS: A Bigram-based Linguistic and Statistical Feature Process Model for Unstructured Text Classification

Journal Article
Yazdania, S., Tan, Z., Kakavand, M., & Lau, S. (in press)
NgramPOS: A Bigram-based Linguistic and Statistical Feature Process Model for Unstructured Text Classification. Wireless Networks, https://doi.org/10.1007/s11276-018-01909-0
Research in financial domain has shown that sentiment aspects of stock news have a profound impact on volume trades, volatility, stock prices and firm earnings. With the ever ...

The Influence of Computer Self-efficacy and Subjective Norms on the Students’ Use of Learning Management Systems at King Abdulaziz University

Journal Article
Binyamin, S. S., Rutter, M. J., & Smith, S. (2018)
The Influence of Computer Self-efficacy and Subjective Norms on the Students’ Use of Learning Management Systems at King Abdulaziz University. International journal of information and education technology (IJIET), 8(10), 693-699. https://doi.org/10.18178/ijiet.2018.8.10.1124
Technology acceptance model (TAM) has been a standout amongst the most well-known models in understanding the users’ acceptance of technologies. This study develops a model to...

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...

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...

Building Scalable Cyber-Physical-Social Networking Infrastructure Using IoT and Low Power Sensors

Journal Article
Lenka, R. K., Rath, A. K., Tan, Z., Sharma, S., Puthal, D., Simha, N. V. R., …Tripathi, S. S. (2018)
Building Scalable Cyber-Physical-Social Networking Infrastructure Using IoT and Low Power Sensors. IEEE Access, 6, 30162-30173. https://doi.org/10.1109/ACCESS.2018.2842760
Wireless Sensors are an important component to develop the Internet of Things (IoT) Sensing infrastructure. There are enormous numbers of sensors connected with each other to ...

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...