Augmented Reality AI Co-Driver: Impact on Drivers Perceived Experience and Safety
Conference Proceeding
Charissis, V. (in press)
Augmented Reality AI Co-Driver: Impact on Drivers Perceived Experience and Safety. In Proceedings of the International Display Workshops (IDW '23)
This project investigates the use of an AI codriver that could support the driver's decision-making process. The information is presented through AR HUD and audio. The evaluat...
Servitization Through VR Serious Games: From Manufacturing to Consumer Electronics
Conference Proceeding
Charissis, V., Khan, M. S., & Harrison, D. K. (2022)
Servitization Through VR Serious Games: From Manufacturing to Consumer Electronics. In HCI International 2022 - Late Breaking Papers. Interaction in New Media, Learning and Games (545-555). https://doi.org/10.1007/978-3-031-22131-6_40
The provision of services instead of the actual products is becoming a major area of interest for the products provision companies involved in the manufacturing, electronics a...
Can Gamification Improve User Experience (UX) of Servitization in the Financial and Construction Sector?
Conference Proceeding
Khan, M. S., Charissis, V., & Harrison, D. K. (2022)
Can Gamification Improve User Experience (UX) of Servitization in the Financial and Construction Sector?. In HCI International 2022 - Late Breaking Papers. Interaction in New Media, Learning and Games (592-603). https://doi.org/10.1007/978-3-031-22131-6_44
The monetisation of the provision of consumer services rather than products is advantageous and leads to higher profit margins for the providing companies in comparison to the...
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...
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,...
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 ...
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...
Combining Co-Citation Clustering and Text-Based Analysis to Reveal the Main Development Paths of Smart Cities
Journal Article
Mora, L., Deakin, M., & Reid, A. (2019)
Combining Co-Citation Clustering and Text-Based Analysis to Reveal the Main Development Paths of Smart Cities. Technological Forecasting and Social Change, 142, 56-69. https://doi.org/10.1016/j.techfore.2018.07.019
Bibliometrics is a powerful tool for analyzing knowledge domains and revealing their cognitive-epistemological structure. Different mathematical models and statistical techniq...
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 ...