Analyzing Objective and Subjective Data in Social Sciences: Implications for Smart Cities
Journal Article
Erhan, L., Ndubuaku, M., Ferrara, E., Richardson, M., Sheffield, D., Ferguson, F. J., …Liotta, A. (2019)
Analyzing Objective and Subjective Data in Social Sciences: Implications for Smart Cities. IEEE Access, 7, 19890-19906. https://doi.org/10.1109/access.2019.2897217
The ease of deployment of digital technologies and the Internet of Things gives us the opportunity to carry out large-scale social studies and to collect vast amounts of data ...
Ethical assessment in e-Health
Conference Proceeding
Gonzalez-Pinto, A., Ruiz de Azua, S., Mival, O. H., Thuernmler, C., Jumelle, A. K. L., Ispas, I., …González-Pinto, A. (2015)
Ethical assessment in e-Health. In 2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom), 262-268. https://doi.org/10.1109/healthcom.2014.7001852
While innovative e-Health and m-Health technologies and solutions will eventually change the way health and social care are delivered, it raises many challenges regarding what...
The Privacy and Security Implications of Open Data in Healthcare: A Contribution from the IMIA Open Source Working Group
Journal Article
Kobayashi, S., Kane, T., & Paton, C. (2018)
The Privacy and Security Implications of Open Data in Healthcare: A Contribution from the IMIA Open Source Working Group. IMIA Yearbook of Medical Informatics, https://doi.org/10.1055/s-0038-1641201
Objective: The International Medical Informatics Association (IMIA) Open Source Working Group (OSWG) initiated a group discussion to discuss current privacy and security issue...
Interference graphs to monitor and control schedules in low-power WPAN
Journal Article
van der Lee, T., Liotta, A., & Exarchakos, G. (2019)
Interference graphs to monitor and control schedules in low-power WPAN. Future Generation Computer Systems, 93, 111-120. https://doi.org/10.1016/j.future.2018.10.014
Highlights
• This study presents the complete and slotted interference graph model.
• The service uses the complete interference graph to evaluate the network.
• Slotted int...
Dynamic fine-grained access control in e-Health using: The secure SQL server system as an enabler of the future Internet
Conference Proceeding
Paulin, A., & Thuemmler, C. (2016)
Dynamic fine-grained access control in e-Health using: The secure SQL server system as an enabler of the future Internet. In 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom),, (245-248). https://doi.org/10.1109/HealthCom.2016.7749462
This paper describes the use of the Secure SQL Server system (SecSQL) – a system for dynamic fine-grained access control, in the context of e-Health. The system was used in tw...
Diabetes research: at Edinburgh Napier University's School of Computing
Digital Artefact
Ryan, B., & Webster, G. (2020)
Diabetes research: at Edinburgh Napier University's School of Computing. [Blog]
This 'Diabetes Research' blog is initially about the seed-project 'Information Avoidance and diabetes'. This project is an initial investigation of how and why people with dia...
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...
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 ...
A social technological alignment matrix.
Presentation / Conference
Thuemmler, C., Mival, O., Lim Jumelle, A. K., Holanec, I., & Fricker, S. (2014, January)
A social technological alignment matrix. Paper presented at IEEE Healthcom 2014, Natal, Brazil
This paper refers to the term “implementation” as the process of integrating a new technology into established workflows. Especially in health care this has proven to be a ver...
The Social Impact of Digital Youth Work: What Are We Looking For?
Journal Article
Pawluczuk, A., Webster, G., 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...