Outputs (119)

Cloud-assisted Adaptive Stream Processing from Discriminative Representations (2019)
Presentation / Conference Contribution
Ndubuaku, M., Anjum, A., & Liotta, A. Cloud-assisted Adaptive Stream Processing from Discriminative Representations. . https://doi.org/10.1109/smc.2019.8914227

As the streaming data generated by Internet of Things (IoT) ubiquitous sensors grow in massive scale, extracting interesting information (anomalies) in real-time becomes more challenging. Traditional systems which retrospectively perform all the proc... Read More about Cloud-assisted Adaptive Stream Processing from Discriminative Representations.

Unsupervised Anomaly Thresholding from Reconstruction Errors (2019)
Presentation / Conference Contribution
Ndubuaku, M. U., Anjum, A., & Liotta, A. (2019). Unsupervised Anomaly Thresholding from Reconstruction Errors. In Unsupervised Anomaly Thresholding from Reconstruction Errors (123-129). https://doi.org/10.1007/978-3-030-34914-1_12

Internet of Things (IoT) sensors generate massive streaming data which needs to be processed in real-time for many applications. Anomaly detection is one popular way to process such data and discover nuggets of information. Various machine learning t... Read More about Unsupervised Anomaly Thresholding from Reconstruction Errors.

An AI approach to Collecting and Analyzing Human Interactions with Urban Environments (2019)
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.2019.294384

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, in turn, improve human well-being in urban environments. This is a scientifi... Read More about An AI approach to Collecting and Analyzing Human Interactions with Urban Environments.

Statistical Assessment of IP Multimedia Subsystem in a Softwarized Environment: a Queueing Networks Approach (2019)
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.2019.29437

The Next Generation 5G Networks can greatly benefit from the synergy between virtualization paradigms, such as the Network Function Virtualization (NFV), and service provisioning platforms such as the IP Multimedia Subsystem (IMS). The NFV concept is... Read More about Statistical Assessment of IP Multimedia Subsystem in a Softwarized Environment: a Queueing Networks Approach.

RSS Indoor Localization Based on a Single Access Point (2019)
Journal Article
Kokkinis, A., Kanaris, L., Liotta, A., & Stavrou, S. (2019). RSS Indoor Localization Based on a Single Access Point. Sensors, 19(17), Article 3711. 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 localization systems. The proposed approach demonstrates that different RSS value... Read More about RSS Indoor Localization Based on a Single Access Point.

An Experimental-Based Review of Image Enhancement and Image Restoration Methods for Underwater Imaging (2019)
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 breakthroughs have been made recently in the general area of image enhance... Read More about An Experimental-Based Review of Image Enhancement and Image Restoration Methods for Underwater Imaging.

Intelligence at the Edge of Complex Networks: The Case of Cognitive Transmission Power Control (2019)
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. Accordingly, networks are exploding in terms of the number of devices but also in c... Read More about Intelligence at the Edge of Complex Networks: The Case of Cognitive Transmission Power Control.

Runtime evaluation of cognitive systems for non-deterministic multiple output classification problems (2019)
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.f

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 acceptable for a given input. We refer them as non-deterministic multiple output c... Read More about Runtime evaluation of cognitive systems for non-deterministic multiple output classification problems.

Recent Advances in the Processing and Rendering Algorithms for Computer-Generated Holography (2019)
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-the-art algorithms for advanced processing and rendering of computer-generate... Read More about Recent Advances in the Processing and Rendering Algorithms for Computer-Generated Holography.

Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks (2019)
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, a prominent method in artificial intelligence, to design an energy-preserv... Read More about Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks.