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All Outputs (4)

Evolving ANN-based sensors for a context-aware cyber physical system of an offshore gas turbine. (2017)
Journal Article
MAJDANI, F., PETROVSKI, A. and DOOLAN, D. 2017. Evolving ANN-based sensors for a context-aware cyber physical system of an offshore gas turbine. Evolving systems [online], 9(2), pages 119-133. Available from: https://doi.org/10.1007/s12530-017-9206-8

An adaptive multi-tiered framework, that can be utilised for designing a context-aware cyber physical system to carry out smart data acquisition and processing, while minimising the amount of necessary human intervention is proposed and applied. The... Read More about Evolving ANN-based sensors for a context-aware cyber physical system of an offshore gas turbine..

A framework for unsupervised change detection in activity recognition. (2017)
Journal Article
BASHIR, S.A., PETROVSKI, A. and DOOLAN, D. 2017. A framework for unsupervised change detection in activity recognition. International journal of pervasive computing and communications [online], 13(2), pages 157-175. Available from: https://doi.org/10.1108/IJPCC-03-2017-0027

Purpose - This purpose of this paper is to develop a change detection technique for activity recognition model. The approach aims to detect changes in the initial accuracy of the model after training and when the model is deployed for recognizing new... Read More about A framework for unsupervised change detection in activity recognition..

Designing a context-aware cyber physical system for smart conditional monitoring of platform equipment. (2016)
Conference Proceeding
MAJDANI, F., PETROVSKI, A. and DOOLAN, D. 2016. Designing a context-aware cyber physical system for smart conditional monitoring of platform equipment. In Jayne, C. and Iliadis, L. (eds.) Engineering applications of neural networks: proceedings of the 17th International engineering applications of neural networks conference (EANN 2016), 2-5 September 2016, Aberdeen, UK. Communications in computer and information science, 629. Cham: Springer [online], pages 198-210. Available from: https://doi.org/10.1007/978-3-319-44188-7_15

An adaptive multi-tiered framework, which can be utilised for designing a context-aware cyber physical system is proposed and applied within the context of assuring offshore asset integrity. Adaptability is achieved through the combined use of machin... Read More about Designing a context-aware cyber physical system for smart conditional monitoring of platform equipment..

ClusterNN: a hybrid classification approach to mobile activity recognition. (2015)
Conference Proceeding
BASHIR, S., DOOLAN, D. and PETROVSKI, A. 2015. ClusterNN: a hybrid classification approach to mobile activity recognition. In Chen, L.L., Steinbauer, M., Khalil, I. and Anderst-Kotsis, G. (eds.) Proceedings of the 13th International advances in mobile computing and multimedia conference (MoMM 2015), 11-13 December 2015, Brussels, Belguim. New York: ACM [online], pages 263-267. Available from: https://doi.org/10.1145/2837126.2837140

Mobile activity recognition from sensor data is based on supervised learning algorithms. Many algorithms have been proposed for this task. One of such algorithms is the K-nearest neighbour (KNN) algorithm. However, since KNN is an instance based algo... Read More about ClusterNN: a hybrid classification approach to mobile activity recognition..