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...
Home automation: HMM based fuzzy rule engine for Ambient intelligent smart space
Conference Proceeding
Singh Jamnal, G., Liu, X., & Fan, L. (2017)
Home automation: HMM based fuzzy rule engine for Ambient intelligent smart space. In Proceedings of The 29th International Conference on Software Engineering and Knowledge Engineering
In this paper, we proposed a new type of decision making system to achieve the intelligent goal for automated smart environments. The artificial intelligence techniques, used ...
Evaluation of a genetic representation for outline shapes
Conference Proceeding
Lapok, P., Lawson, A., & Paechter, B. (2017)
Evaluation of a genetic representation for outline shapes. In GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference Companion, (1419-1422). https://doi.org/10.1145/3067695.3082501
This work in progress focuses on the evaluation of a genetic representation for outline shapes for planar mechanical levers which addresses the first stage of the complex real...
Demo paper: AGADE - Scalability of ontology based agent simulations
Conference Proceeding
Farrenkopf, T., Guckert, M., Urquhart, N. B., & Wells, S. (2016)
Demo paper: AGADE - Scalability of ontology based agent simulations. In Advances in Practical Applications of Scalable Multi-agent Systems. The PAAMS Collection (256-259). https://doi.org/10.1007/978-3-319-39324-7_25
Simulations of real world scenarios often require considerably
large numbers of agents. With increasing level of detail and resolution
in the underlying models machine limitat...
TARGO: transition and reallocation based green optimization for Cloud VMs.
Conference Proceeding
Fang, D., Liu, X., Liu, L., & Yang, H. (2013)
TARGO: transition and reallocation based green optimization for Cloud VMs. In Proceedings of the IEEE International Conference on Green Computing and Communications 2013, 215-223. https://doi.org/10.1109/GreenCom-iThings-CPSCom.2013.56
Much research has been conducted focusing on improving resource utilization efficiency in data centers in the context of Green Cloud Computing (GCC). While virtualization enab...
Research directions in data wrangling: Visualizations and transformations for usable and credible data
Journal Article
Kandel, S., Heer, J., Plaisant, C., Kennedy, J., Ham, F. V., Riche, N. H., …Buono, P. (2011)
Research directions in data wrangling: Visualizations and transformations for usable and credible data. Information Visualization, Octobe, 271-288. https://doi.org/10.1177/1473871611415994
In spite of advances in technologies for working with data, analysts still spend an inordinate amount of time diagnosing data quality issues and manipulating data into a usabl...
Recognize contextual situation in pervasive environments using process mining techniques
Journal Article
Jaroucheh, Z., Liu, X., & Smith, S. (2011)
Recognize contextual situation in pervasive environments using process mining techniques. Journal of Ambient Intelligence and Humanized Computing, 2(1), 53-69. https://doi.org/10.1007/s12652-010-0038-7
Research in pervasive computing and ambience intelligence aims to enable users to interact with the environment in a context-aware way. To achieve this, a complex set of featu...
Artificial Immune Systems (Dagstuhl Seminar 11172)
Report
Hart, E., Jansen, T. & Timmis, J. (2010)
Artificial Immune Systems (Dagstuhl Seminar 11172
This report documents the program and the outcomes of the Dagstuhl Seminar 11172 ``Artificial Immune Systems''. The purpose of the seminar was to bring together researchers fr...
Not what you know, nor who you know, but who you know already: Examining Online Information Sharing Behaviours in a Blogging Environment through the Lens of Social Exchange Theory
Journal Article
Hall, H., Widen, G., & Paterson, L. (2010)
Not what you know, nor who you know, but who you know already: Examining Online Information Sharing Behaviours in a Blogging Environment through the Lens of Social Exchange Theory. Libri, 60(2), 117-128. https://doi.org/10.1515/libr.2010.011
This paper focuses on the extent to which online information sharing practice is socially motivated. A key interest is how knowledge of the existing social connections between...
On AIRS and clonal selection for machine learning
Conference Proceeding
McEwan, C., & Hart, E. (2009)
On AIRS and clonal selection for machine learning. In Artificial Immune Systems. , (67-79). https://doi.org/10.1007/978-3-642-03246-2_11
Many recent advances have been made in understanding the functional implications of the global topological properties of biological networks through the application of complex...