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117 results

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...

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...

RSS Indoor Localization Based on a Single Access Point

Journal Article
Kokkinis, A., Kanaris, L., Liotta, A., & Stavrou, S. (2019)
RSS Indoor Localization Based on a Single Access Point. Sensors, 19(17), https://doi.org/10.3390/s19173711
This research work investigates how RSS information fusion from a single, multi-antenna access point (AP) can be used to perform device localization in indoor RSS based locali...

An Experimental-Based Review of Image Enhancement and Image Restoration Methods for Underwater Imaging

Journal Article
Wang, Y., Song, W., Fortino, G., Qi, L., Zhang, W., & Liotta, A. (2019)
An Experimental-Based Review of Image Enhancement and Image Restoration Methods for Underwater Imaging. IEEE Access, 7, 140233-140251. https://doi.org/10.1109/ACCESS.2019.2932130
Underwater images play a key role in ocean exploration, but often suffer from severe quality degradation due to light absorption and scattering in water medium. Although major...

Intelligence at the Edge of Complex Networks: The Case of Cognitive Transmission Power Control

Journal Article
Pace, P., Fortino, G., Zhang, Y., & Liotta, A. (2019)
Intelligence at the Edge of Complex Networks: The Case of Cognitive Transmission Power Control. IEEE Wireless Communications, 26(3), 97-103. https://doi.org/10.1109/mwc.2019.1800354
The rapid proliferation of new devices has led to the Internet of Things (IoT), a network where virtually any object equipped with a radio interface can be connected. Accordin...

Runtime evaluation of cognitive systems for non-deterministic multiple output classification problems

Journal Article
Gopalakrishna, A. K., Ozcelebi, T., Lukkien, J. J., & Liotta, A. (2019)
Runtime evaluation of cognitive systems for non-deterministic multiple output classification problems. Future Generation Computer Systems, 100, 1005-1016. https://doi.org/10.1016/j.future.2019.05.043
Cognitive applications that involve complex decision making such as smart lighting have non-deterministic input-output relationships, i.e., more than one output may be accepta...

Recent Advances in the Processing and Rendering Algorithms for Computer-Generated Holography

Journal Article
Corda, R., Giusto, D., Liotta, A., Song, W., & Perra, C. (2019)
Recent Advances in the Processing and Rendering Algorithms for Computer-Generated Holography. Electronics, 8(5), https://doi.org/10.3390/electronics8050556
Digital holography represents a novel media which promises to revolutionize the way the users interacts with content. This paper presents an in-depth review of the state-of-th...

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 ...

Short-long term anomaly detection in wireless sensor networks based on machine learning and multi-parameterized edit distance

Journal Article
Cauteruccio, F., Fortino, G., Guerrieri, A., Liotta, A., Mocanu, D. C., Perra, C., …Torres Vega, M. (2019)
Short-long term anomaly detection in wireless sensor networks based on machine learning and multi-parameterized edit distance. Information Fusion, 52, 13-30. https://doi.org/10.1016/j.inffus.2018.11.010
Heterogeneous wireless sensor networks are a source of large amount of different information representing environmental aspects such as light, temperature, and humidity. A ver...

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