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...
Implementing a wireless network of PDAs in a hospital setting
Journal Article
Turner, P., Milne, G., Kubitscheck, M., Penman, I., & Turner, S. (2005)
Implementing a wireless network of PDAs in a hospital setting. Personal and Ubiquitous Computing, 9, 209-217. https://doi.org/10.1007/s00779-004-0322-7
This paper discusses the introduction of a wireless network of personal digital assistants into a specialist unit of a hospital in Edinburgh. All of the technology has been us...
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 ...
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 ...
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...
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...
Intelligent storage devices for scalable information management systems
Journal Article
Kukla, R., & Kerridge, J. (1997)
Intelligent storage devices for scalable information management systems. Future Generation Computer Systems, 12(5), 335-344. https://doi.org/10.1016/S0167-739X%2896%2900020-9
For most large commercial organisations the ability to store and manipulate massive volumes of data is a key operational requirement. Database systems are fundamental to the e...
NgramPOS: A Bigram-based Linguistic and Statistical Feature Process Model for Unstructured Text Classification
Journal Article
Yazdania, S., Tan, Z., Kakavand, M., & Lau, S. (2022)
NgramPOS: A Bigram-based Linguistic and Statistical Feature Process Model for Unstructured Text Classification. Wireless Networks, 28, 1251-1261. 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 ...
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 ...