HD-Video Streaming over an Inexpensive In-Building Radio-over-MMF System

Conference item

Torres Vega, M., Zou, S., Tangdiongga, E., Koonen, A. M. J. and Liotta, Antonio 2014. HD-Video Streaming over an Inexpensive In-Building Radio-over-MMF System. IEEE.
AuthorsTorres Vega, M., Zou, S., Tangdiongga, E., Koonen, A. M. J. and Liotta, Antonio
Year2014
Journal19th IEEE Photonics Benelux Annual Symposium
PublisherIEEE
Web address (URL)http://hdl.handle.net/10545/622627
hdl:10545/622627
Publication dates2014
Publication process dates
Deposited25 Apr 2018, 09:20
Permalink -

https://repository.derby.ac.uk/item/950wq/hd-video-streaming-over-an-inexpensive-in-building-radio-over-mmf-system

Log in to edit
  • 59
    total views
  • 0
    total downloads
  • 5
    views this month
  • 0
    downloads this month

Export as

Related outputs

Critical Comparison of Data Imputation Techniques at IoT Edge
Erhan, L., Di Mauro, M., Bagdasar, O. and Liotta, A. David Camacho, Prof. Domenico Rosaci, Prof. Giuseppe M. L. Sarné and Mario Versaci (ed.) 2022. Critical Comparison of Data Imputation Techniques at IoT Edge. Springer.
Mobility Analysis during the 2020 Pandemic in a Touristic city: the Case of Cagliari
Ferrara, Enrico, Uras, Marco, Atzori, Luigi, Bagdasar, Ovidiu and Liotta, Antonio 2021. Mobility Analysis during the 2020 Pandemic in a Touristic city: the Case of Cagliari. IEEE. https://doi.org/10.1109/ieeeconf49204.2021.9604867
Relations Between Entropy and Accuracy Trends in Complex Artificial Neural Networks
Cavallaro, Lucia, Grassia, Marco, Fiumara, Giacomo, Mangioni, Giuseppe, De Meo, Pasquale, Carchiolo, Vincenza, Bagdasar, Ovidiu and Liotta, Antonio 2022. Relations Between Entropy and Accuracy Trends in Complex Artificial Neural Networks. in: Complex Networks & Their Applications X Springer.
Social network analysis: the use of graph distances to compare artificial and criminal networks
Ficara, Annamaria, Curreri, Francesco, Cavallaro, Lucia, De Meo, Pasquale, Fiumara, Giacomo, Bagdasar, Ovidiu and Liotta, Antonio 2021. Social network analysis: the use of graph distances to compare artificial and criminal networks. Journal of Smart Environments and Green Computing. https://doi.org/10.20517/jsegc.2021.08
Criminal networks analysis in missing data scenarios through graph distances
Ficara, A., Cavallaro, L., Curreri, F., Fiumara, G., de Meo, P., Bagdasar, O., Song, W. and Liotta, A. 2021. Criminal networks analysis in missing data scenarios through graph distances. Public Library of Science (PLoS). https://doi.org/10.1371/journal.pone.0255067
Graph and network theory for the analysis of criminal networks
Cavallaro, L., Bagdasar, O., de Meo, P., Liotta, A. and Fiumara, G. 2021. Graph and network theory for the analysis of criminal networks. Springer, Cham. https://doi.org/10.1007/978-3-030-67197-6_8
Graph Comparison and Artificial Models for Simulating Real Criminal Networks
Cavallaro, L., Ficara, A., Curreri, F., Fiumara, G., De Meo, P., Bagdasar, O. and Liotta, A. Prof. Rosa M. Benito, Prof. Chantal Cherifi, Prof. Hocine Cherifi, Prof. Esteban Moro, Prof. Luis Mateus Rocha and Prof. Marta Sales-Pardo (ed.) Graph Comparison and Artificial Models for Simulating Real Criminal Networks.
Embedded Data Imputation for Environmental Intelligent Sensing: A Case Study
Erhan, Laura, Di Mauro, Mario, Anjum, Ashiq, Bagdasar, Ovidiu, Song, Wei and Liotta, Antonio 2021. Embedded Data Imputation for Environmental Intelligent Sensing: A Case Study. Sensors. 21 (23), p. 7774. https://doi.org/10.3390/s21237774
Smart anomaly detection in sensor systems: A multi-perspective review
Erhan, L., Ndubuaku, M., Di Mauro, M., Song, W., Chen, M., Fortino, G., Bagdasar, O. and Liotta, A. 2020. Smart anomaly detection in sensor systems: A multi-perspective review. Elsevier. https://doi.org/10.1016/j.inffus.2020.10.001
WiFi probes sniffing: an artificial intelligence based approach for MAC addresses de-randomization
Uras, Marco, Cossu, Raimondo, Ferrara, Enrico, Bagdasar, Ovidiu, Liotta, Antonio and Atzori, Luigi 2020. WiFi probes sniffing: an artificial intelligence based approach for MAC addresses de-randomization. IEEE. https://doi.org/10.1109/camad50429.2020.9209257
Disrupting resilient criminal networks through data analysis: The case of sicilian mafia
Cavallaro, L., Ficara, A., de Meo, P., Fiumara, G., Catanese, S., Bagdasar, O. and Liotta, A. 2020. Disrupting resilient criminal networks through data analysis: The case of sicilian mafia. Public Library of Science (PLoS). https://doi.org/10.1371/journal.pone.0236476
Social Network Analysis of Sicilian Mafia Interconnections
Ficara, A., Cavallaro, L., De Meo, P., Fiumara, G., Catanese, S., Bagdasar, O. and Liotta, A. Hocine Cherifi, Sabrina Gaito, José Fernendo Mendes, Esteban Moro and Prof. Luis Mateus Rocha (ed.) 2020. Social Network Analysis of Sicilian Mafia Interconnections. Springer.
Analyzing Objective and Subjective Data in Social Sciences: Implications for Smart Cities
Erhan, L., Ndubuaku, M., Ferrara, E., Richardson, M., Sheffield, D., Ferguson, F.J., Brindley, P. and Liotta, A. 2019. Analyzing Objective and Subjective Data in Social Sciences: Implications for Smart Cities. IEEE Access. Vol 7 (2019, Article: 8633833), pp. 19890-19906. https://doi.org/10.1109/access.2019.2897217
Cognitive channel selection for Wireless Sensor communications
Chincoli, Michele, den Boef, Pascal and Liotta, Antonio 2017. Cognitive channel selection for Wireless Sensor communications. IEEE. https://doi.org/10.1109/ICNSC.2017.8000192
An experimental survey of no-reference video quality assessment methods
Torres Vega, Maria, Sguazzo, Vittorio, Mocanu, Decebal Constantin and Liotta, Antonio 2016. An experimental survey of no-reference video quality assessment methods. International Journal of Pervasive Computing and Communications. https://doi.org/10.1108/IJPCC-01-2016-0008
Statistical inference for intelligent lighting: a pilot study
Gopalakrishna, Aravind Kota, Ozcelebi, Tanir, Liotta, Antonio and Lukkien, Johan J 2015. Statistical inference for intelligent lighting: a pilot study. Springer, Cham. https://doi.org/10.1007/978-3-319-10422-5_3
Online fusion of incremental learning for wireless sensor networks
Bosman, Hedde H. W. J., Iacca, Giovanni, Wörtche, Heinrich J and Liotta, Antonio 2014. Online fusion of incremental learning for wireless sensor networks. IEEE. https://doi.org/10.1109/ICDMW.2014.79
Data Mining for Monitoring and Managing Systems and Networks
Liotta, Antonio and Di Fatta, Giuseppe 2014. Data Mining for Monitoring and Managing Systems and Networks. Journal of Network and Systems Management. https://doi.org/10.1007/s10922-014-9306-8
Relevance in cyber?physical systems with humans in the loop
Gopalakrishna, Aravind Kota, Ozcelebi, Tanir, Lukkien, Johan J and Liotta, Antonio 2017. Relevance in cyber?physical systems with humans in the loop. Concurrency and Computation: Practice and Experience. https://doi.org/10.1002/cpe.3827
Deep learning for quality assessment in live video streaming
Vega, Maria Torres, Mocanu, Decebal Constantin, Famaey, Jeroen, Stavrou, Stavros and Liotta, Antonio 2017. Deep learning for quality assessment in live video streaming. IEEE signal processing letters. https://doi.org/10.1109/LSP.2017.2691160
Towards Multi-layer Interoperability of Heterogeneous IoT Platforms: The INTER-IoT Approach
Chincoli, Michele and Liotta, Antonio 2018. Towards Multi-layer Interoperability of Heterogeneous IoT Platforms: The INTER-IoT Approach. in: Springer, Cham.
Smart Anomaly Detection for Sensor Systems: Computational Intelligence Techniques for Sensor Networks and Applications
Liotta, Antonio, Bosman, Hedde and Iacca, Giovanni 2014. Smart Anomaly Detection for Sensor Systems: Computational Intelligence Techniques for Sensor Networks and Applications. Springer Publishing Company, Incorporated.
Cognitive No-Reference Video Quality Assessment for Mobile Streaming Services
Vega, Maria Torres, Giordano, Emanuele, Mocanu, Decebal Constantin, Tjondronegoro, Dian and Liotta, Antonio 2015. Cognitive No-Reference Video Quality Assessment for Mobile Streaming Services. IEEE. https://doi.org/10.1109/QoMEX.2015.7148128
Data Driven Transmission Power Control for Wireless Sensor Networks
Kotian, Roshan, Exarchakos, Georgios and Liotta, Antonio 2015. Data Driven Transmission Power Control for Wireless Sensor Networks. Springer. https://doi.org/10.1007/978-3-319-23237-9_8
Factored four way conditional restricted boltzmann machines for activity recognition
Mocanu, Decebal Constantin, Ammar, Haitham Bou, Lowet, Dietwig, Driessens, Kurt, Liotta, Antonio, Weiss, Gerhard and Tuyls, Karl 2015. Factored four way conditional restricted boltzmann machines for activity recognition. Elsevier.
Inexpensive user tracking using boltzmann machines
Mocanu, Elena, Mocanu, Decebal Constantin, Ammar, Haitham Bou, Zivkovic, Zoran, Liotta, Antonio and Smirnov, Evgueni 2014. Inexpensive user tracking using boltzmann machines. in: IEEE.
Resource Allocation in Optical Beam-Steered Indoor Networks
Vega, M Torres, Famaey, Jeroen, Koonen, AMJ and Liotta, Antonio 2016. Resource Allocation in Optical Beam-Steered Indoor Networks. https://doi.org/10.1109/NOMS.2016.7502839
Resilience of Video Streaming Services to Network Impairments
Vega, Maria Torres, Perra, Cristian and Liotta, Antonio 2018. Resilience of Video Streaming Services to Network Impairments. IEEE. https://doi.org/10.1109/TBC.2017.2781125
Predictive no-reference assessment of video quality
Vega, Maria Torres, Mocanu, Decebal Constantin, Stavrou, Stavros and Liotta, Antonio 2017. Predictive no-reference assessment of video quality. Signal Processing: Image Communication. https://doi.org/10.1016/j.image.2016.12.001
A Task-Oriented Framework for Networked Wearable Computing
Galzarano, Stefano, Giannantonio, Roberta, Liotta, Antonio and Fortino, Giancarlo 2014. A Task-Oriented Framework for Networked Wearable Computing. IEEE Transactions on Automation Science and Engineering. https://doi.org/10.1109/TASE.2014.2365880
TSCH schedules assessment
van der Lee, Tim, Liotta, Antonio and Exarchakos, Georgios 2017. TSCH schedules assessment. IEEE. https://doi.org/10.1109/ICNSC.2017.8000175
Redundancy reduction in Wireless Sensor Networks via Centrality Metrics
Mocanu, Decebal Constantin, Torres Vega, M. and Liotta, Antonio 2015. Redundancy reduction in Wireless Sensor Networks via Centrality Metrics. IEEE. https://doi.org/10.1109/ICDMW.2015.53
Cognitive streaming on android devices
Vega, Maria Torres, Mocanu, Decebal Constantin, Barresi, Rosario, Fortino, Giancarlo and Liotta, Antonio 2015. Cognitive streaming on android devices. IEEE. https://doi.org/10.1109/INM.2015.7140488
Network performance assessment with quality of experience benchmarks
Mocanu, Decebal Constantin, Santandrea, Giuliano, Cerroni, Walter, Callegati, Franco and Liotta, Antonio 2014. Network performance assessment with quality of experience benchmarks. IEEE. https://doi.org/10.1109/CNSM.2014.7014187
Unsupervised deep learning for real-time assessment of video streaming services
Vega, Maria Torres, Mocanu, Decebal Constantin and Liotta, Antonio 2017. Unsupervised deep learning for real-time assessment of video streaming services. Multimedia Tools and Applications. https://doi.org/10.1007/s11042-017-4831-6
Transmission power control in WSNs: from deterministic to cognitive methods
Chincoli, Michele and Liotta, Antonio 2018. Transmission power control in WSNs: from deterministic to cognitive methods. in: Springer, Cham.
Effect of lossy networks on stereoscopic 3D-video streams
Torres Vega, Maria, Perra, Cristian, Mocanu, Decebal Constantin and Liotta, Antonio 2017. Effect of lossy networks on stereoscopic 3D-video streams. https://doi.org/10.1109/BMSB.2017.7986181
Impact of transmission power control in multi-hop networks
Kotian, Roshan, Exarchakos, Georgios, Stavros, Stavrou and Liotta, Antonio 2017. Impact of transmission power control in multi-hop networks. Future Generation Computer Systems. https://doi.org/10.1016/j.future.2016.10.010
Network analysis on Skype end-to-end video quality
Exarchakos, George, Druda, Luca, Menkovski, Vlado and Liotta, Antonio 2015. Network analysis on Skype end-to-end video quality. International Journal of Pervasive Computing and Communications. https://doi.org/10.1108/IJPCC-08-2014-0044
Power Control in Wireless Sensor Networks with Variable Interference
Chincoli, Michele, Syed, Aly, Exarchakos, George and Liotta, Antonio 2016. Power Control in Wireless Sensor Networks with Variable Interference. Mobile Information Systems. https://doi.org/10.1155/2016/3592581
Reliable low-power wireless networks over unstable transmission power
Kotian, Roshan, Exarchakos, Georgios and Liotta, Antonio 2017. Reliable low-power wireless networks over unstable transmission power. IEEE. https://doi.org/10.1109/ICNSC.2017.8000193
Node centrality awareness via swarming effects
Mocanu, Decebal Constantin, Exarchakos, Georgios and Liotta, Antonio 2014. Node centrality awareness via swarming effects. IEEE. https://doi.org/10.1109/SMC.2014.6973878
A report on the First IFIP/IEEE Workshop on Quality of Experience Centric Management (QCMan 2013)
Latré, Steven, Liotta, Antonio and Turck, Filip De 2014. A report on the First IFIP/IEEE Workshop on Quality of Experience Centric Management (QCMan 2013). https://doi.org/10.1007/s10922-014-9301-0
A regression method for real-time video quality evaluation
Torres Vega, M., Mocanu, Decebal Constantin and Liotta, Antonio 2016. A regression method for real-time video quality evaluation. https://doi.org/10.1145/3007120.3007125
Decentralized dynamic understanding of hidden relations in complex networks
Mocanu, Decebal Constantin, Exarchakos, Georgios and Liotta, Antonio 2017. Decentralized dynamic understanding of hidden relations in complex networks. Scientific Reports. https://doi.org/10.1038/s41598-018-19356-4
Evaluating machine learning algorithms for applications with humans in the loop
Gopalakrishna, Aravind Kota, Ozcelebi, Tanir, Lukkien, Johan J and Liotta, Antonio 2017. Evaluating machine learning algorithms for applications with humans in the loop. IEEE. https://doi.org/10.1109/ICNSC.2017.8000136
Fast Millimeter Wave Assisted Beam-Steering for Passive Indoor Optical Wireless Networks
Vega, Maria Torres, Koonen, A. M. J., Liotta, Antonio and Famaey, Jeroen 2017. Fast Millimeter Wave Assisted Beam-Steering for Passive Indoor Optical Wireless Networks. IEEE. https://doi.org/10.1109/LWC.2017.2771771
Optimizing route prior knowledge for map-aided fingerprint-based positioning systems
Kokkinis, Akis, Kanaris, Loizos, Raspopoulos, Marios, Liotta, Antonio and Stavrou, Stavros 2014. Optimizing route prior knowledge for map-aided fingerprint-based positioning systems. IEEE. https://doi.org/10.1109/EuCAP.2014.6902232
Predictive Power Control in Wireless Sensor Networks
Chincoli, Michele, Syed, Aly Aamer, Mocanu, Decebal and Liotta, Antonio 2016. Predictive Power Control in Wireless Sensor Networks. IEEE. https://doi.org/10.1109/IoTDI.2015.11
Enhancing internet and distributed computing systems with wireless sensor networks
Fortino, Giancarlo, Gravina, Raffaele, Li, Wenfeng, Hassan, Mohammad Mehedi and Liotta, Antonio 2015. Enhancing internet and distributed computing systems with wireless sensor networks. https://doi.org/10.1155/2015/564695
Deep learning for objective quality assessment of 3D images
Mocanu, Decebal Constantin, Exarchakos, Georgios and Liotta, Antonio 2014. Deep learning for objective quality assessment of 3D images. IEEE. https://doi.org/10.1109/ICIP.2014.7025152
A learning-based mac for energy efficient wireless sensor networks
Galzarano, Stefano, Fortino, Giancarlo and Liotta, Antonio 2014. A learning-based mac for energy efficient wireless sensor networks. Springer, Cham. https://doi.org/10.1007/978-3-319-11692-1_34
Accuracy of no-reference quality metrics in network-impaired video streams
Vega, Maria Torres, Sguazzo, Vittorio, Mocanu, Decebal Constantin and Liotta, Antonio 2015. Accuracy of no-reference quality metrics in network-impaired video streams. ACM. https://doi.org/10.1145/2837126.2837150
Distributed TSCH scheduling: A comparative analysis
van der Lee, Tim, Exarchakos, Georgios and Liotta, Antonio 2017. Distributed TSCH scheduling: A comparative analysis. IEEE. https://doi.org/10.1109/SMC.2017.8123176
Self-Learning Power Control in Wireless Sensor Networks
Chincoli, Michele and Liotta, Antonio 2018. Self-Learning Power Control in Wireless Sensor Networks. Sensors. https://doi.org/10.3390/s18020375
Integration, Interconnection, and Interoperability of IoT Systems
Gravina, Raffaele, Palau, Carlos E, Manso, Marco, Liotta, Antonio and Fortino, Giancarlo 2018. Integration, Interconnection, and Interoperability of IoT Systems. Springer International Publishing.
When does lower bitrate give higher quality in modern video services?
Mocanu, Decebal Constantin, Liotta, Antonio, Ricci, Arianna, Vega, Maria Torres and Exarchakos, Georgios 2014. When does lower bitrate give higher quality in modern video services? IEEE. https://doi.org/10.1109/NOMS.2014.6838400
A topological insight into restricted Boltzmann machines (extented abstract)
Mocanu, Decebal Constantin, Mocanu, Elena, Nguyen, Phuong H., Gibescu, Madeleine and Liotta, Antonio 2016. A topological insight into restricted Boltzmann machines (extented abstract).
Reduced reference image quality assessment via boltzmann machines
Mocanu, Decebal Constantin, Exarchakos, Georgios, Ammar, Haitham Bou and Liotta, Antonio 2015. Reduced reference image quality assessment via boltzmann machines. IEEE. https://doi.org/10.1109/INM.2015.7140481
Big IoT data mining for real-time energy disaggregation in buildings
Mocanu, Decebal Constantin, Mocanu, Elena, Nguyen, Phuong H., Gibescu, Madeleine and Liotta, Antonio 2016. Big IoT data mining for real-time energy disaggregation in buildings. IEEE. https://doi.org/10.1109/SMC.2016.7844820
Estimating 3d trajectories from 2d projections via disjunctive factored four-way conditional restricted boltzmann machines
Mocanu, Decebal Constantin, Ammar, Haitham Bou, Puig, Luis, Eaton, Eric and Liotta, Antonio 2017. Estimating 3d trajectories from 2d projections via disjunctive factored four-way conditional restricted boltzmann machines. Pattern Recognition. https://doi.org/10.1016/j.patcog.2017.04.017
A Report on the First IFIP/IEEE Workshop on Quality of Experience Centric Management (QCMan 2013)
Latré, Steven, Liotta, Antonio and De Turck, Filip 2014. A Report on the First IFIP/IEEE Workshop on Quality of Experience Centric Management (QCMan 2013). Journal of Network and Systems Management. https://doi.org/10.1007/s10922-014-9301-0
Real time 10Gb-ethernet transmission over 2D indoor passive beam steered optical wireless system based on high port arrayed waveguide gratings
Khalid, Amir Masood, Vega, Maria Torres, Mekonen, Ketamaw A., Cao, Zizheng, Liotta, Antonio and Koonen, A.M. J. 2016. Real time 10Gb-ethernet transmission over 2D indoor passive beam steered optical wireless system based on high port arrayed waveguide gratings. VDE.
A topological insight into restricted Boltzmann machines
Mocanu, Decebal Constantin, Mocanu, Elena, Nguyen, Phuong H., Gibescu, Madeleine and Liotta, Antonio 2016. A topological insight into restricted Boltzmann machines. Machine Learning. https://doi.org/10.1007/s10994-016-5570-z
Combining smart lighting and radio fingerprinting for improved indoor localization
Kanaris, Loizos, Kokkinis, Akis, Liotta, Antonio and Stavrou, Stavros 2017. Combining smart lighting and radio fingerprinting for improved indoor localization. IEEE. https://doi.org/10.1109/ICNSC.2017.8000134
Monitoring Network Use of Resources
Menkovski, Vlado, Den Hartog, Frank and Liotta, Antonio 2016. Monitoring Network Use of Resources.
Interference mitigation through adaptive power control in wireless sensor networks
Chincoli, Michele, Bacchiani, Claudio, Syed, Aly Aamer, Exarchakos, Geogios and Liotta, Antonio 2015. Interference mitigation through adaptive power control in wireless sensor networks. IEEE. https://doi.org/10.1109/SMC.2015.232
Assessment of proactive transmission power control for wireless sensor networks
Kotian, Roshan, Exarchakos, Georgios and Liotta, Antonio 2014. Assessment of proactive transmission power control for wireless sensor networks. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering). https://doi.org/10.4108/icst.bodynets.2014.258209
QoE modelling for VP9 and H. 265 videos on mobile devices
Song, Wei, Xiao, Yao, Tjondronegoro, Dian and Liotta, Antonio 2015. QoE modelling for VP9 and H. 265 videos on mobile devices. ACM. https://doi.org/10.1145/2733373.2806256
End-to-end performance evaluation in high-speed wireless networks
Vega, Maria Torres, Zou, Shihuan, Mocanu, Decebal Constantin, Tangdiongga, Eduward, Koonen, A. M. J. and Liotta, Antonio 2014. End-to-end performance evaluation in high-speed wireless networks. IEEE. https://doi.org/10.1109/CNSM.2014.7014190
Spatial anomaly detection in sensor networks using neighborhood information
Bosman, Hedde HWJ, Iacca, Giovanni, Tejada, Arturo, Wörtche, Heinrich J and Liotta, Antonio 2016. Spatial anomaly detection in sensor networks using neighborhood information. Information Fusion. https://doi.org/10.1016/j.inffus.2016.04.007
Learning networks for complex interconnections
Mocanu, Decebal Constantin, Exarchakos, Georgios and Liotta, Antonio 2016. Learning networks for complex interconnections.
Relevance prevails: missing data treatment in intelligent lighting
Gopalakrishna, Aravind Kota, Ozcelebi, Tanir, Liotta, Antonio and Lukkien, Johan J. 2014. Relevance prevails: missing data treatment in intelligent lighting. Springer, Cham. https://doi.org/10.1007/978-3-319-02309-0_40
Sample size determination algorithm for fingerprint-based indoor localization systems
Kanaris, Loizos, Kokkinis, Akis, Fortino, Giancarlo, Liotta, Antonio and Stavrou, Stavros 2016. Sample size determination algorithm for fingerprint-based indoor localization systems. Computer Networks. https://doi.org/10.1016/j.comnet.2015.12.015
Two-dimensional optical beam steering module
Koonen, Antonius Marcellus Jozef, Baltus, Peter GM and Liotta, Antonio 2016. Two-dimensional optical beam steering module.
Ensembles of incremental learners to detect anomalies in ad hoc sensor networks
Bosman, Hedde HWJ, Iacca, Giovanni, Tejada, Arturo, Wörtche, Heinrich J and Liotta, Antonio 2015. Ensembles of incremental learners to detect anomalies in ad hoc sensor networks. ad hoc networks. https://doi.org/10.1016/j.adhoc.2015.07.013
Quality of fingerprint radiomaps for positioning systems
Kanaris, Loizos, Kokkinis, Akis, Liotta, Antonio and Stavrou, Stavros 2017. Quality of fingerprint radiomaps for positioning systems. IEEE. https://doi.org/10.1109/ICT.2017.7998235
Fusing Bluetooth beacon data with Wi-Fi radiomaps for improved indoor localization
Kanaris, Loizos, Kokkinis, Akis, Liotta, Antonio and Stavrou, Stavros 2017. Fusing Bluetooth beacon data with Wi-Fi radiomaps for improved indoor localization. Sensors. https://doi.org/10.3390/s17040812
plexi: Adaptive re-scheduling web-service of time synchronized low-power wireless networks
Exarchakos, Georgios, Oztelcan, Ilker, Sarakiotis, Dimitris and Liotta, Antonio 2017. plexi: Adaptive re-scheduling web-service of time synchronized low-power wireless networks. Journal of Network and Computer Applications. https://doi.org/10.1016/j.jnca.2016.06.013
The double link between network science and artificial intelligence: a key to scalable learning solutions?
Mocanu, Decebal Constantin, Exarchakos, Georgios and Liotta, Antonio 2016. The double link between network science and artificial intelligence: a key to scalable learning solutions?
Towards ABAC Policy Mining from Logs with Deep Learning
Mocanu, Decebal Constantin, Turkmen, Fatih and Liotta, Antonio 2015. Towards ABAC Policy Mining from Logs with Deep Learning.
Improving RSS fingerprint-based localization using directional antennas
Kanaris, Loizos, Kokkinis, Akis, Raspopoulos, Marios, Liotta, Antonio and Stavrou, Stavros 2014. Improving RSS fingerprint-based localization using directional antennas. IEEE. https://doi.org/10.1109/EuCAP.2014.6902090
A pilot study mapping citizens' interaction with urban nature
Ferrara, E., Liotta, A., Erhan, L., Ndubuaku, M., Giusto, D., Richardson, M., Sheffield, D. and McEwan, K. 2018. A pilot study mapping citizens' interaction with urban nature. IEEE International Symposium on Dependable, Autonomic and Secure Computing. Athens, Greece 12 - 15 Aug 2018 IEEE. https://doi.org/10.1109/dasc/picom/datacom/cyberscitec.2018.00-21
A Demographic Analysis of Urban Nature Utilization
Ferrara, E., Liotta, A., Ndubuaku, M., Erhan, L., Giusto, D., Richardson, M., Sheffield, D. and McEwan, K. 2018. A Demographic Analysis of Urban Nature Utilization. 10th Computer Science and Electronic Engineering Conference. 19 - 21 Sep 2018 IEEE Xplore. https://doi.org/10.1109/ceec.2018.8674206
Deepeddy: A simple deep architecture for mesoscale oceanic eddy detection in sar images
Huang, Dongmei, Du, Yanling, He, Q., Song, Wei and Liotta, Antonio 2017. Deepeddy: A simple deep architecture for mesoscale oceanic eddy detection in sar images. IEEE. https://doi.org/10.1109/ICNSC.2017.8000171