Embedded Data Imputation for Environmental Intelligent Sensing: A Case Study

Journal article


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
AuthorsErhan, Laura, Di Mauro, Mario, Anjum, Ashiq, Bagdasar, Ovidiu, Song, Wei and Liotta, Antonio
Abstract

Recent developments in cloud computing and the Internet of Things have enabled smart environments, in terms of both monitoring and actuation. Unfortunately, this often results in unsustainable cloud-based solutions, whereby, in the interest of simplicity, a wealth of raw (unprocessed) data are pushed from sensor nodes to the cloud. Herein, we advocate the use of machine learning at sensor nodes to perform essential data-cleaning operations, to avoid the transmission of corrupted (often unusable) data to the cloud. Starting from a public pollution dataset, we investigate how two machine learning techniques (kNN and missForest) may be embedded on Raspberry Pi to perform data imputation, without impacting the data collection process. Our experimental results demonstrate the accuracy and computational efficiency of edge-learning methods for filling in missing data values in corrupted data series. We find that kNN and missForest correctly impute up to 40% of randomly distributed missing values, with a density distribution of values that is indistinguishable from the benchmark. We also show a trade-off analysis for the case of bursty missing values, with recoverable blocks of up to 100 samples. Computation times are shorter than sampling periods, allowing for data imputation at the edge in a timely manner.

KeywordsElectrical and Electronic Engineering; Biochemistry; Instrumentation; Atomic and Molecular Physics, and Optics; Analytical Chemistry
Year2021
JournalSensors
Journal citation21 (23), p. 7774
PublisherMDPI AG
ISSN1424-8220
Digital Object Identifier (DOI)https://doi.org/10.3390/s21237774
Web address (URL)http://hdl.handle.net/10545/626252
https://creativecommons.org/licenses/by/4.0/
hdl:10545/626252
Publication dates23 Nov 2021
Publication process dates
Deposited25 Jan 2022, 14:28
Accepted20 Nov 2021
ContributorsUniversity of Derby, University of Salerno, 84084 Fisciano, Italy, University of Leicester, University of Alba Iulia, 510009 Alba Iulia, Romania, Shanghai Ocean University, Shanghai 200090, China and Free University of Bozen-Bolzano, 39100 Bolzano, Italy
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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
Unifying local-global type properties in vector optimization.
Bagdasar, Ovidiu and Popovici, Nicolae 2018. Unifying local-global type properties in vector optimization. Journal of Global Optimization. https://doi.org/10.1007/s10898-018-0656-8
Local maximizers of generalized convex vector-valued functions.
Bagdasar, Ovidiu and Popovici, Nicolae 2017. Local maximizers of generalized convex vector-valued functions. Journal of Nonlinear and Convex Analysis.
Case studies: Using heuristics.
Lowndes, Val, Bagdasar, Ovidiu and Berry, Stuart 2017. Case studies: Using heuristics. in: Springer.
Further use of heuristic methods.
Lowndes, Val, Berry, Stuart, Parkes, Chris, Bagdasar, Ovidiu and Popovici, Nicolae 2017. Further use of heuristic methods. in: Springer.
Characterizations of generalized exponential trichotomies for linear discrete-time systems.
Popa, Ioan-Lucian, Ceauşu, Traian and Bagdasar, Ovidiu 2016. Characterizations of generalized exponential trichotomies for linear discrete-time systems. Electronic Notes in Discrete Mathematics. https://doi.org/10.1016/j.endm.2016.11.010
On the geometry of certain periodic non-homogeneous Horadam sequences.
Bagdasar, Ovidiu and Popa, Ioan-Lucian 2016. On the geometry of certain periodic non-homogeneous Horadam sequences. Electronic Notes in Discrete Mathematics. https://doi.org/10.1016/j.endm.2016.11.002
New results and conjectures on 2-partitions of multisets.
Bagdasar, Ovidiu and Andrica, Dorin 2017. New results and conjectures on 2-partitions of multisets. Proceedings of the 7th International Conference on Modeling, Simulation, and Applied Optimization (ICMSAO). https://doi.org/10.1109/ICMSAO.2017.7934928
On the masked periodicity of Horadam sequences: A generator-based approach.
Bagdasar, Ovidiu and Larcombe, Peter J. 2017. On the masked periodicity of Horadam sequences: A generator-based approach. Fibonacci Quarterly.
Cloud-based video analytics using convolutional neural networks.
Yaseen, M., Anjum, Ashiq, Farid, Mohsen and Antonopoulos, Nick 2018. Cloud-based video analytics using convolutional neural networks. Software Practice and Experience. https://doi.org/10.1002/spe.2636
Deep learning hyper-parameter optimization for video analytics in clouds.
Yaseen, M., Anjum, Ashiq, Rana, Omer and Antonopoulos, Nikolaos 2018. Deep learning hyper-parameter optimization for video analytics in clouds. IEEE Transactions on Systems, Man, and Cybernetics. https://doi.org/10.1109/TSMC.2018.2840341
Edge enhanced deep learning system for large-scale video stream analytics.
Ali, Muhammad, Anjum, Ashiq, Yaseen, M. Usman, Zamani, A. Reza, Balouek-Thomert, Daniel, Rana, Omer and Parashar, Manish 2018. Edge enhanced deep learning system for large-scale video stream analytics. IEEE. https://doi.org/10.1109/CFEC.2018.8358733
Qualitative case study methodology: Automatic design and correction of ceramic colors.
Bagdasar, Ovidiu, Birlutiu, Adriana, Chen, Minsi and Popa, Ioan-Lucian 2017. Qualitative case study methodology: Automatic design and correction of ceramic colors. IEEE. https://doi.org/10.1109/ICSTCC.2017.8107118
Representing variant calling format as directed acyclic graphs to enable the use of cloud computing for efficient and cost effective genome analysis
Aizad, Sanna, Anjum, Ashiq and Sakellariou, Rizos 2017. Representing variant calling format as directed acyclic graphs to enable the use of cloud computing for efficient and cost effective genome analysis. IEEE. https://doi.org/10.1109/CCGRID.2017.116
Blockchain standards for compliance and trust
Anjum, Ashiq, Sporny, Manu and Sill, Alan 2017. Blockchain standards for compliance and trust. IEEE Cloud Computing. https://doi.org/10.1109/MCC.2017.3791019
Big data analytics in healthcare: A cloud based framework for generating insights
Anjum, Ashiq, Aizad, Sanna, Arshad, Bilal, Subhani, Moeez, Davies-Tagg, Dominic, Abdullah, Tariq and Antonopoulos, Nikolaos 2017. Big data analytics in healthcare: A cloud based framework for generating insights. in: Springer.
Clinical and genomics data integration using meta-dimensional approach
Subhani, Moeez, Anjum, Ashiq, Koop, Andreas and Antonopoulos, Nikolaos 2016. Clinical and genomics data integration using meta-dimensional approach. Association for Computing Machinery. https://doi.org/10.1145/2996890.3007896
Deadline constrained video analysis via in-transit computational environments
Zamani, Ali Reza, Zou, Mengsong, Diaz-Montes, Javier, Petri, Ioan, Rana, Omer, Anjum, Ashiq and Parashar, Manish 2017. Deadline constrained video analysis via in-transit computational environments. IEEE Transactions on Services Computing. https://doi.org/10.1109/TSC.2017.2653116
Data Intensive and Network Aware (DIANA) grid scheduling
McClatchey, Richard, Anjum, Ashiq, Stockinger, Heinz, Ali, Arshad, Willers, Ian and Thomas, Michael 2007. Data Intensive and Network Aware (DIANA) grid scheduling. Journal of Grid Computing. https://doi.org/10.1007/s10723-006-9059-z
Intelligent grid enabled services for neuroimaging analysis
McClatchey, Richard, Habib, Irfan, Anjum, Ashiq, Munir, Kamran, Branson, Andrew, Bloodsworth, Peter and Kiani, Saad Liaquat 2013. Intelligent grid enabled services for neuroimaging analysis. Neurocomputing. https://doi.org/10.1016/j.neucom.2013.01.042
Cloud-based scalable object detection and classification in video streams
Yaseen, M., Anjum, Ashiq, Rana, Omer and Hill, Richard 2017. Cloud-based scalable object detection and classification in video streams. Future Generation Computer Systems. https://doi.org/10.1016/j.future.2017.02.003
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
Modeling and analysis of a deep learning pipeline for cloud based video analytics.
Yaseen, M., Anjum, Ashiq and Antonopoulos, Nikolaos 2017. Modeling and analysis of a deep learning pipeline for cloud based video analytics. https://doi.org/10.1145/3148055.3148081
Traffic monitoring using video analytics in clouds
Abdullah, Tariq, Anjum, Ashiq, Tariq, M. Fahim, Baltaci, Yusuf and Antonopoulos, Nikolaos 2014. Traffic monitoring using video analytics in clouds. IEEE. https://doi.org/10.1109/UCC.2014.12
On the number of complex horadam sequences with a fixed period
Bagdasar, Ovidiu and Larcombe, Peter J. 2013. On the number of complex horadam sequences with a fixed period. Fibonacci Quarterly.
On the characterization of periodic complex Horadam sequences
Bagdasar, Ovidiu and Larcombe, Peter J. 2013. On the characterization of periodic complex Horadam sequences. Fibonacci Quarterly.
Big-Data analytics and cloud computing: Theory, algorithms and applications
Hill, Richard, Trovati, Marcello, Liu, Lu, Anjum, Ashiq and Zhu, Shao Ying 2015. Big-Data analytics and cloud computing: Theory, algorithms and applications. Springer.
On a result of Bunder involving Horadam sequences: A proof and generalization
Larcombe, Peter J. and Bagdasar, Ovidiu 2013. On a result of Bunder involving Horadam sequences: A proof and generalization. Fibonacci Quarterly.
On a result of Bunder involving horadam sequences: A new proof
Larcombe, Peter J., Bagdasar, Ovidiu and Fennessey, Eric J. 2014. On a result of Bunder involving horadam sequences: A new proof. Fibonacci Quarterly.
Influence discovery in semantic networks: An initial approach
Trovati, Marcello and Bagdasar, Ovidiu 2014. Influence discovery in semantic networks: An initial approach. IEEE. https://doi.org/10.1109/UKSim.2014.48
Complementary iInequalities involving the Stolarsky Mean
Bagdasar, Ovidiu 2010. Complementary iInequalities involving the Stolarsky Mean. Journal of Inequalities and Applications. https://doi.org/10.1155/2010/492570
Concise computer mathematics: tutorials on theory and problems
Bagdasar, Ovidiu 2013. Concise computer mathematics: tutorials on theory and problems. Springer.
On the characterization of periodic generalized Horadam sequences
Bagdasar, Ovidiu and Larcombe, Peter J. 2014. On the characterization of periodic generalized Horadam sequences. Journal of Difference Equations and Applications. https://doi.org/10.1080/10236198.2014.891022
Local maximum points of explicitly quasiconvex functions
Bagdasar, Ovidiu and Popovici, Nicolae 2014. Local maximum points of explicitly quasiconvex functions. Optimization Letters. https://doi.org/10.1007/s11590-014-0781-3
A Horadam-based pseudo-random number generator
Bagdasar, Ovidiu and Chen, Minsi 2014. A Horadam-based pseudo-random number generator. IEEE. https://doi.org/10.1109/UKSim.2014.55
On the structure of periodic complex Horadam orbits
Bagdasar, Ovidiu, Larcombe, Peter J. and Anjum, Ashiq 2016. On the structure of periodic complex Horadam orbits. Carpathian Journal of Mathematics..
A cloud resource management model for the creation and orchestration of social communities
Ikram, Ahsan, Anjum, Ashiq and Bessis, Nik 2015. A cloud resource management model for the creation and orchestration of social communities. Simulation Modelling Practice and Theory. https://doi.org/10.1016/j.simpat.2014.05.003
Federated broker system for pervasive context provisioning
Kiani, Saad Liaquat, Anjum, Ashiq, Knappmeyer, Michael, Bessis, Nik and Antonopoulos, Nikolaos 2013. Federated broker system for pervasive context provisioning. Journal of Systems and Software. https://doi.org/10.1016/j.jss.2012.11.050
Adapting scientific workflow structures using multi-objective optimization strategies
Habib, Irfan, Anjum, Ashiq, Mcclatchey, Richard and Rana, Omer 2013. Adapting scientific workflow structures using multi-objective optimization strategies. ACM Transactions on Autonomous and Adaptive Systems. https://doi.org/10.1145/2451248.2451252
Video stream analysis in clouds: An object detection and classification framework for high performance video analytics
Anjum, Ashiq, Abdullah, Tariq, Tariq, M. Fahim, Baltaci, Yusuf and Antonopoulos, Nikolaos 2016. Video stream analysis in clouds: An object detection and classification framework for high performance video analytics. IEEE Transactions on Cloud Computing. https://doi.org/10.1109/TCC.2016.2517653
Towards cloud based big data analytics for smart future cities
Khan, Zaheer, Anjum, Ashiq, Tahir, Muhammad Atif and Soomro, Kamran Ahmed 2015. Towards cloud based big data analytics for smart future cities. Journal of Cloud Computing. https://doi.org/10.1186/s13677-015-0026-8
Spatial frequency based video stream analysis for object classification and recognition in clouds
Yaseen, M., Anjum, Ashiq and Antonopoulos, Nikolaos 2016. Spatial frequency based video stream analysis for object classification and recognition in clouds. IEEE.
High performance video processing in cloud data centres
Yaseen, M., Zafar, Muhammad Sarim, Anjum, Ashiq and Hill, Richard 2016. High performance video processing in cloud data centres. IEEE. https://doi.org/10.1109/SOSE.2016.56
On some functions involving the lcm and gcd of integer tuples
Bagdasar, Ovidiu 2014. On some functions involving the lcm and gcd of integer tuples. Scientific Publications of the State University of Novi Pazar Series A: Applied Mathematics, Informatics and mechanics. https://doi.org/10.5937/SPSUNP1402091B
An Inter-Cloud Meta-Scheduling (ICMS) simulation framework: architecture and evaluation
Sotiriadis, Stelios, Bessis, Nik, Anjum, Ashiq and Buyya, Rajkumar 2015. An Inter-Cloud Meta-Scheduling (ICMS) simulation framework: architecture and evaluation. IEEE Transactions on Services Computing. https://doi.org/10.1109/TSC.2015.2399312
Glueing grids and clouds together: a service-oriented approach
Anjum, Ashiq, Hill, Richard, McClatchey, Richard, Bessis, Nik and Branson, Andrew 2012. Glueing grids and clouds together: a service-oriented approach. International Journal of Web and Grid Services. https://doi.org/10.1504/IJWGS.2012.049169
Energy conservation in mobile devices and applications: a case for context parsing, processing and distribution in clouds
Kiani, Saad Liaquat, Anjum, Ashiq, Bessis, Nik, Hill, Richard and Knappmeyer, Michael 2013. Energy conservation in mobile devices and applications: a case for context parsing, processing and distribution in clouds. Mobile Information Systems.
Approaching the Internet of things (IoT): a modelling, analysis and abstraction framework
Ikram, Ahsan, Anjum, Ashiq, Hill, Richard, Antonopoulos, Nikolaos, Liu, Lu and Sotiriadis, Stelios 2013. Approaching the Internet of things (IoT): a modelling, analysis and abstraction framework. Concurrency and Computation: Practice and Experience. https://doi.org/10.1002/cpe.3131
Performance simulation of a context provisioning middleware based on empirical measurements
Reetz, Eike Steffen, Knappmeyer, Michael, Kiani, Saad Liaquat, Anjum, Ashiq, Bessis, Nik and Tönjes, Ralf 2012. Performance simulation of a context provisioning middleware based on empirical measurements. https://doi.org/10.1016/j.simpat.2012.03.002
Dot-base62x: building a compact and user-friendly text representation scheme of ipv6 addresses for cloud computing
Liu, Zhenxing, Liu, Lu, Hardy, J., Anjum, Ashiq, Hill, Richard and Antonopoulos, Nikolaos 2012. Dot-base62x: building a compact and user-friendly text representation scheme of ipv6 addresses for cloud computing. Journal of Cloud Computing: Advances, Systems and Applications. https://doi.org/10.1186/2192-113X-1-3