Research explorer tool

22 results

IoT for a shock warning system.

Journal Article
Brogan, J., Thuemmler, C., Mival, O., & Fricker, S. (2014)
IoT for a shock warning system. IEEE Internet of Things,
This technical paper details the interdependencies between Internet of Things (IoT) and latest Future Internet (FI) technology, demonstrated by using the example of a smart co...

Fundamental Issues in Mobile Healthcare Information Systems

Journal Article
Shahzad, B., Orgun, M. A., & Thuemmler, C. (2016)
Fundamental Issues in Mobile Healthcare Information Systems. Mobile Information Systems, 2016, 1-2. https://doi.org/10.1155/2016/6504641
Fundamental Issues in Mobile Healthcare Information Systems

Impact of 5g telematics

Journal Article
Thuemmler, C., Jell, T., Nunna, S., & Jumelle, A. K. L. (2015)
Impact of 5g telematics. Asian Hospital & Healthcare Management,
New technologies such as wearable wireless medical devices are transforming the way healthcare is delivered. As these devices become more powerful and numerous, the daunting c...

The Social Impact of Digital Youth Work: What Are We Looking For?

Journal Article
Webster, G., Pawluczuk, A., Smith, C., & Hall, H. (2019)
The Social Impact of Digital Youth Work: What Are We Looking For?. Media and Communication, 7(2), 59-68. https://doi.org/10.17645/mac.v7i2.1907
Digital youth work is an emerging field of research and practice which seeks to investigate and support youth-centred digital literacy initiatives. Whilst digital youth work p...

A topological insight into restricted Boltzmann machines

Journal Article
Mocanu, D. C., Mocanu, E., Nguyen, P. H., Gibescu, M., & Liotta, A. (2016)
A topological insight into restricted Boltzmann machines. Machine Learning, 104(2-3), 243-270. https://doi.org/10.1007/s10994-016-5570-z
Restricted Boltzmann Machines (RBMs) and models derived from them have been successfully used as basic building blocks in deep artificial neural networks for automatic feature...

Estimating 3D trajectories from 2D projections via disjunctive factored four-way conditional restricted Boltzmann machines

Journal Article
Mocanu, D. C., Bou Ammar, H., Puig, L., Eaton, E., & Liotta, A. (2017)
Estimating 3D trajectories from 2D projections via disjunctive factored four-way conditional restricted Boltzmann machines. Pattern Recognition, 69, 325-335. https://doi.org/10.1016/j.patcog.2017.04.017
Estimation, recognition, and near-future prediction of 3D trajectories based on their two dimensional projections available from one camera source is an exceptionally difficul...

Fast Millimeter Wave Assisted Beam-Steering for Passive Indoor Optical Wireless Networks

Journal Article
Torres Vega, M., Koonen, A. M. J., Liotta, A., & Famaey, J. (2018)
Fast Millimeter Wave Assisted Beam-Steering for Passive Indoor Optical Wireless Networks. IEEE Wireless Communications Letters, 7(2), 278-281. https://doi.org/10.1109/lwc.2017.2771771
In light of the extreme radio congestion, the time has come to consider the upper parts of the electromagnetic spectrum. Optical beam-steered wireless communications offer gre...

Decentralized dynamic understanding of hidden relations in complex networks

Journal Article
Mocanu, D. C., Exarchakos, G., & Liotta, A. (2018)
Decentralized dynamic understanding of hidden relations in complex networks. Scientific Reports, 8(1), https://doi.org/10.1038/s41598-018-19356-4
Almost all the natural or human made systems can be understood and controlled using complex networks. This is a difficult problem due to the very large number of elements in s...

Resilience of Video Streaming Services to Network Impairments

Journal Article
Torres Vega, M., Perra, C., & Liotta, A. (2018)
Resilience of Video Streaming Services to Network Impairments. IEEE Transactions on Broadcasting, 64(2), 220-234. https://doi.org/10.1109/tbc.2017.2781125
When dealing with networks, performance management through conventional quality of service (QoS)-based methods becomes difficult and is often ineffective. In fact, quality eme...

Self-Learning Power Control in Wireless Sensor Networks

Journal Article
Chincoli, M., & Liotta, A. (2018)
Self-Learning Power Control in Wireless Sensor Networks. Sensors, 18(2), 1-29. https://doi.org/10.3390/s18020375
Current trends in interconnecting myriad smart objects to monetize on Internet of Things applications have led to high-density communications in wireless sensor networks. This...