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65 results

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...

Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks

Journal Article
Savaglio, C., Pace, P., Aloi, G., Liotta, A., & Fortino, G. (2019)
Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks. IEEE Access, 7, 29355-29364. https://doi.org/10.1109/access.2019.2902371
High-density communications in wireless sensor networks (WSNs) demand for new approaches to meet stringent energy and spectrum requirements. We turn to reinforcement learning,...

Open-source Data Analysis and Machine Learning for Asthma Hospitalisation Rates

Conference Proceeding
Rooney, L., Chute, C., Buchanan, W. J., Smales, A., & Hepburn, L. (2018)
Open-source Data Analysis and Machine Learning for Asthma Hospitalisation Rates. In Proceedings of ThinkMind - GLOBAL HEALTH 2018, The Seventh International Conference on Global Health Challenges
Long-term conditions in Scotland account for 80% of all GP consultations; they also account for 60% of all deaths in Scotland. Asthma and Chronic Obstructive Pulmonary Disease...

Towards simulation of patient data for evaluation of E-health platform and services.

Presentation / Conference
Lo, O., Fan, L., Buchanan, W. J., Thuemmler, C., & Lawson, A. (2012, June)
Towards simulation of patient data for evaluation of E-health platform and services. Paper presented at 13th Annual Post Graduate Symposium on the Convergence of Telecommunications, Networking and Broadcasting, Liverpool
This paper presents the design and implementation of the Patient Simulator, a software application used for the simulation of patient data. The simulator aims to evaluate e- H...

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...

Norms and standards in modular medical architectures.

Conference Proceeding
Fricker, S., Fiedler, M., Grottland, A., Jell, T., Magedanz, T., Thuemmler, C., …Paulin, A. (2014)
Norms and standards in modular medical architectures. In 2013 IEEE 15th International Conference on e-Health Networking, Applications and Services (Healthcom) (IEEE Healthcom 2013), (382-387). https://doi.org/10.1109/HealthCom.2013.6720705
Recent Internet of Things (IoT) research has been aiming at interoperability of devices and the integration of sensor networks. The Future Internet - Private Public Partnershi...

A Snapshot of NLG Evaluation Practices 2005 - 2014

Conference Proceeding
Gkatzia, D., & Mahamood, S. (2015)
A Snapshot of NLG Evaluation Practices 2005 - 2014. https://doi.org/10.18653/v1/w15-4708
In this paper we present a snapshot of endto-end NLG system evaluations as presented in conference and journal papers1 over the last ten years in order to better understand th...

An AI approach to Collecting and Analyzing Human Interactions with Urban Environments

Journal Article
Ferrara, E., Fragale, L., Fortino, G., Song, W., Perra, C., di Mauro, M., & Liotta, A. (2019)
An AI approach to Collecting and Analyzing Human Interactions with Urban Environments. IEEE Access, 7, 141476-141486. https://doi.org/10.1109/access.2019.2943845
Thanks to advances in Internet of Things and crowd-sensing, it is possible to collect vast amounts of urban data, to better understand how citizens interact with cities and, i...

Statistical Assessment of IP Multimedia Subsystem in a Softwarized Environment: a Queueing Networks Approach

Journal Article
Di Mauro, M., & Liotta, A. (2019)
Statistical Assessment of IP Multimedia Subsystem in a Softwarized Environment: a Queueing Networks Approach. IEEE Transactions on Network and Service Management, 16(4), 1493-1506. https://doi.org/10.1109/tnsm.2019.2943776
The Next Generation 5G Networks can greatly benefit from the synergy between virtualization paradigms, such as the Network Function Virtualization (NFV), and service provision...

Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science

Journal Article
Mocanu, D. C., Mocanu, E., Stone, P., Nguyen, P. H., Gibescu, M., & Liotta, A. (2018)
Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science. Nature Communications, 9(1), 1-12. https://doi.org/10.1038/s41467-018-04316-3
Through the success of deep learning in various domains, artificial neural networks are currently among the most used artificial intelligence methods. Taking inspiration from ...
11 results

dot.rural Portrait KE

2015 - 2016
Portrait is a software tool developed to help care staff get to know personal and social information about clients that live in residential care facilities. The Portrait system consists of a biography...
Funder: University of Aberdeen | Value: £3,287

e-Health Security Infrastructure Evaluation

2012 - 2012
IIDI is working with Patient Reminders Limited supported the SFC Innovation Voucher scheme.  Patient Reminders Limited provides patient reminder products and solutions for use in clinical studies, ph...
Funder: Scottish Funding Council | Value: £4,979

FI STAR

2013 - 2015
New ideas are on the way to make healthcare more accurate, more affordable and matching the needs of our changing societies. Demographic changes, progress in technology and in medicine offer options t...
Funder: European Commission | Value: £532,920

PEPS-C software for Prosody

2009 - 2009
This IIDI project led by Alistair Lawson investigates the feasibility of developing a prototype Flash-based version of PEPS-C (Profiling Elements of Prosody in Speech-Communication).  This is a test w...
Funder: Queen Margaret University | Value: £7,460

Personal health data manager

2012 - 2013
This SE/RSE Enterprise Fellowship aimed to commercialise intellectual property owned by Edinburgh Napier University related to e-Health data management into an end-user product. The project paved the ...
Funder: Royal Society of Edinburgh | Value: £32,926

Data Capture and Auto Identification Reference

2009 - 2011
This project relates to the research collaboration between Edinburgh Napier University, CipherLab, Chelsea and Westminster Hospital, GS1 UK, Imperial College, and Kodit, and is funded through a resear...
Funder: Innovate UK | Value: £227,172

AyeCan

2014 - 2014
Weight management is a key health issue within Scotland. The focus of this project is to develop an intelligent online platform for weight management.  The project will use artificial intelligence met...
Funder: Scottish Funding Council | Value: £5,000

Scalable and Open Framework for Human/Digital Trust between Informal/Formal Personal Health Care Infrastructures

2011 - 2013
This project extends the e-Health Cloud-based Platform, and integrates with assisted living. The project integrates Edinburgh Napier University, Microsoft and HoIP, and has created a novel governance ...
Funder: Engineering and Physical Sciences Research Council | Value: £243,325

Trust and Governance Integration into Living It Up (Sitekit)

2013 - 2014
Funder: Scottish Funding Council

CM2000 Follow On

2014 - 2014
Investigation of Big Data applied into Health and Social Care
Funder: Scottish Funding Council | Value: £40,000

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