| CityPulse: Large Scale Data Analytics Framework for Smart Cities D Puiu, P Barnaghi, R Tönjes, D Kümper, MI Ali, A Mileo, JX Parreira, ... IEEE Access 4, 1086-1108, 2016 | 306 | 2016 |
| A practical evaluation of information processing and abstraction techniques for the internet of things F Ganz, D Puschmann, P Barnaghi, F Carrez IEEE Internet of Things journal 2 (4), 340-354, 2015 | 182 | 2015 |
| A knowledge-based approach for real-time iot data stream annotation and processing S Kolozali, M Bermudez-Edo, D Puschmann, F Ganz, P Barnaghi 2014 IEEE International Conference on Internet of Things (iThings), and IEEE …, 2014 | 181 | 2014 |
| Adaptive Clustering for Dynamic IoT Data Streams D Puschmann, P Barnaghi, R Tafazolli IEEE Internet of Things Journal 4 (1), 64-74, 2017 | 155 | 2017 |
| On the Effect of Adaptive and Nonadaptive Analysis of Time-Series Sensory Data Ş Kolozali, D Puschmann, M Bermudez-Edo, P Barnaghi IEEE Internet of Things Journal 3 (6), 1084-1098, 2016 | 42 | 2016 |
| Learning from data to predict future symptoms of oncology patients N Papachristou, D Puschmann, P Barnaghi, B Cooper, X Hu, R Maguire, ... PloS one 13 (12), e0208808, 2018 | 37 | 2018 |
| Using LDA to Uncover the Underlying Structures and Relations in Smart City Data Streams D Puschmann, P Barnaghi, R Tafazolli IEEE Systems Journal 12 (2), 1755-1766, 2018 | 25 | 2018 |
| Extracting information from heterogeneous internet of things data streams. DP Puschmann University of Surrey, 2018 | 6 | 2018 |
| Marginal distribution clustering of multi-variate streaming IoT data D Puschmann, P Barnaghi, R Tafazolli 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT), 466-471, 2016 | 6 | 2016 |
Payam BarnaghiImperial College LondonVerified email at imperial.ac.uk
