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Autonomous supervision and optimization of product quality in a multi-stage manufacturing process based on self-adaptive prediction models. (2019)
Journal Article
LUGHOFER, E., ZAVOIANU, A.-C., POLLAK, R., PRATAMA, M., MEYER-HEYE, P., ZÖRRER, H., EITZINGER, C. and RADAUER, T. 2019. Autonomous supervision and optimization of product quality in a multi-stage manufacturing process based on self-adaptive prediction models. Journal of process control [online], 76, pages 27-45. Available from: https://doi.org/10.1016/j.jprocont.2019.02.005

In modern manufacturing facilities, there are basically two essential phases for assuring high production quality with low (or even zero) defects and waste in order to save costs for companies. The first phase concerns the early recognition of potent... Read More about Autonomous supervision and optimization of product quality in a multi-stage manufacturing process based on self-adaptive prediction models..

Evaluating awareness and perception of botnet activity within consumer Internet-of-Things (IoT) networks. (2019)
Journal Article
MCDERMOTT, C.D., ISAACS, J.P. and PETROVSKI, A.V. 2019. Evaluating awareness and perception of botnet activity within consumer Internet-of-Things (IoT) networks. Informatics [online], 6(1), article 8. Available from: https://doi.org/10.3390/informatics6010008

The growth of the Internet of Things (IoT), and demand for low-cost, easy-to-deploy devices, has led to the production of swathes of insecure Internet-connected devices. Many can be exploited and leveraged to perform large-scale attacks on the Intern... Read More about Evaluating awareness and perception of botnet activity within consumer Internet-of-Things (IoT) networks..

Optimal deployment of components of cloud-hosted application for guaranteeing multitenancy isolation. (2019)
Journal Article
OCHEI, L.C., PETROVSKI, A. and BASS, J.M. 2019. Optimal deployment of components of cloud-hosted application for guaranteeing multitenancy isolation. Journal of cloud computing [online], 8, article 1. Available from: https://doi.org/10.1186/s13677-018-0124-5

One of the challenges of deploying multitenant cloud-hosted services that are designed to use (or be integrated with) several components is how to implement the required degree of isolation between the components when there is a change in the workloa... Read More about Optimal deployment of components of cloud-hosted application for guaranteeing multitenancy isolation..

Privacy risk assessment in context: a meta-model based on contextual integrity. (2019)
Journal Article
HENRIKSEN-BULMER, J., FAILY, S. and JEARY, S. 2019. Privacy risk assessment in context: a meta-model based on contextual integrity. Computers and security [online], 82, pages 270-283. Available from: https://doi.org/10.1016/j.cose.2019.01.003

Publishing data in open format is a growing trend, particularly for public bodies who have a legal obligation to make data available as open data. We look at the privacy implications of publishing open data and, in particular, how organisations can m... Read More about Privacy risk assessment in context: a meta-model based on contextual integrity..

Searching for global employability: can students capitalize on enabling learning environments? (2019)
Journal Article
ISOMÖTTÖNEN, V., DANIELS, M., CAJANDER, A., PEARS, A. and MCDERMOT, R. 2019. Searching for global employability: can students capitalize on enabling learning environments? ACM transactions on computing education, 19(2), article ID 11. Available from: https://doi.org/10.1145/3277568

Literature on global employability signifies “enabling” learning environments where students encounter ill-formed and open-ended problems and are required to adapt and be creative. Varying forms of “projects,” co-located and distributed, have populat... Read More about Searching for global employability: can students capitalize on enabling learning environments?.

Multi-label classification via label correlation and first order feature dependance in a data stream. (2019)
Journal Article
NGUYEN, T.T., NGUYEN, T.T.T., LUONG, A.V., NGUYEN, Q.V.H., LIEW, A.W.-C. and STANTIC, B. 2019. Multi-label classification via label correlation and first order feature dependance in a data stream. Pattern recognition [online], 90, pages 35-51. Available from: https://doi.org/10.1016/j.patcog.2019.01.007

Many batch learning algorithms have been introduced for offline multi-label classification (MLC) over the years. However, the increasing data volume in many applications such as social networks, sensor networks, and traffic monitoring has posed many... Read More about Multi-label classification via label correlation and first order feature dependance in a data stream..