Outputs (119)

Resilience of Video Streaming Services to Network Impairments (2018)
Journal Article
Torres Vega, M., Perra, C., & Liotta, A. (2018). Resilience of Video Streaming Services to Network Impairments. IEEE Transactions on Broadcasting, 64(2), 220-234. https://doi.org/10.1109/tbc.2017.2781125

When dealing with networks, performance management through conventional quality of service (QoS)-based methods becomes difficult and is often ineffective. In fact, quality emerges as an end-to-end factor, for it is particularly sensitive to the end-u... Read More about Resilience of Video Streaming Services to Network Impairments.

Fast Millimeter Wave Assisted Beam-Steering for Passive Indoor Optical Wireless Networks (2017)
Journal Article
Torres Vega, M., Koonen, A. M. J., Liotta, A., & Famaey, J. (2018). Fast Millimeter Wave Assisted Beam-Steering for Passive Indoor Optical Wireless Networks. IEEE Wireless Communications Letters, 7(2), 278-281. https://doi.org/10.1109/lwc.2017.2771771

In light of the extreme radio congestion, the time has come to consider the upper parts of the electromagnetic spectrum. Optical beam-steered wireless communications offer great potential for future indoor short-range connectivity, due to virtually u... Read More about Fast Millimeter Wave Assisted Beam-Steering for Passive Indoor Optical Wireless Networks.

Estimating 3D trajectories from 2D projections via disjunctive factored four-way conditional restricted Boltzmann machines (2017)
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

Estimation, recognition, and near-future prediction of 3D trajectories based on their two dimensional projections available from one camera source is an exceptionally difficult problem due to uncertainty in the trajectories and environment, high dime... Read More about Estimating 3D trajectories from 2D projections via disjunctive factored four-way conditional restricted Boltzmann machines.

Fusing Bluetooth Beacon Data with Wi-Fi Radiomaps for Improved Indoor Localization (2017)
Journal Article
Kanaris, L., Kokkinis, A., Liotta, A., & Stavrou, S. (2017). Fusing Bluetooth Beacon Data with Wi-Fi Radiomaps for Improved Indoor Localization. Sensors, 17(4), 812. https://doi.org/10.3390/s17040812

Indoor user localization and tracking are instrumental to a broad range of services and applications in the Internet of Things (IoT) and particularly in Body Sensor Networks (BSN) and Ambient Assisted Living (AAL) scenarios. Due to the widespread ava... Read More about Fusing Bluetooth Beacon Data with Wi-Fi Radiomaps for Improved Indoor Localization.

Deep Learning for Quality Assessment in Live Video Streaming (2017)
Journal Article
Vega, M. T., Mocanu, D. C., Famaey, J., Stavrou, S., & Liotta, A. (2017). Deep Learning for Quality Assessment in Live Video Streaming. IEEE Signal Processing Letters, 24(6), 736-740. https://doi.org/10.1109/lsp.2017.2691160

Video content providers put stringent requirements on the quality assessment methods realized on their services. They need to be accurate, real-time, adaptable to new content, and scal-able as the video set grows. In this letter, we introduce a novel... Read More about Deep Learning for Quality Assessment in Live Video Streaming.

Predictive no-reference assessment of video quality (2016)
Journal Article
Torres Vega, M., Mocanu, D. C., Stavrou, S., & Liotta, A. (2017). Predictive no-reference assessment of video quality. Signal Processing: Image Communication, 52, 20-32. https://doi.org/10.1016/j.image.2016.12.001

Among the various means to evaluate the quality of video streams, lightweight No-Reference (NR) methods have low computation and may be executed on thin clients. Thus, these methods would be perfect candidates in cases of real-time quality assessment... Read More about Predictive no-reference assessment of video quality.

Impact of Transmission Power Control in multi-hop networks (2016)
Journal Article
Kotian, R., Exarchakos, G., Stavros, S., & Liotta, A. (2017). Impact of Transmission Power Control in multi-hop networks. Future Generation Computer Systems, 75, 94-107. https://doi.org/10.1016/j.future.2016.10.010

Many Transmission Power Control (TPC) algorithms have been proposed in the past, yet the conditions under which they are evaluated do not always reflect typical Internet-of-Things (IoT) scenarios. IoT networks consist of several source nodes transmit... Read More about Impact of Transmission Power Control in multi-hop networks.

A topological insight into restricted Boltzmann machines (2016)
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 features extraction, unsupervised weights initialization, but also as density esti... Read More about A topological insight into restricted Boltzmann machines.

Spatial anomaly detection in sensor networks using neighborhood information (2016)
Journal Article
Bosman, H. H., Iacca, G., Tejada, A., Wörtche, H. J., & Liotta, A. (2017). Spatial anomaly detection in sensor networks using neighborhood information. Information Fusion, 33, 41-56. https://doi.org/10.1016/j.inffus.2016.04.007

The field of wireless sensor networks (WSNs), embedded systems with sensing and networking capability, has now matured after a decade-long research effort and technological advances in electronics and networked systems. An important remaining challen... Read More about Spatial anomaly detection in sensor networks using neighborhood information.

Sample Size Determination Algorithm for fingerprint-based indoor localization systems (2016)
Journal Article
Kanaris, L., Kokkinis, A., Fortino, G., Liotta, A., & Stavrou, S. (2016). Sample Size Determination Algorithm for fingerprint-based indoor localization systems. Computer Networks, 101, 169-177. https://doi.org/10.1016/j.comnet.2015.12.015

Provision of accurate location information is an important task in the Internet of Things (IoT) applications and scenarios. This need has boosted the research and development of fingerprint based, indoor localization systems, since GPS information is... Read More about Sample Size Determination Algorithm for fingerprint-based indoor localization systems.