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Daniel Puschmann
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2010 – 2019
- 2018
- [j5]Daniel Puschmann, Payam M. Barnaghi, Rahim Tafazolli:
Using LDA to Uncover the Underlying Structures and Relations in Smart City Data Streams. IEEE Syst. J. 12(2): 1755-1766 (2018) - 2017
- [j4]Daniel Puschmann, Payam M. Barnaghi, Rahim Tafazolli:
Adaptive Clustering for Dynamic IoT Data Streams. IEEE Internet Things J. 4(1): 64-74 (2017) - 2016
- [j3]Dan Puiu, Payam M. Barnaghi, Ralf Toenjes, Daniel Kuemper, Muhammad Intizar Ali, Alessandra Mileo, Josiane Xavier Parreira, Marten Fischer, Sefki Kolozali, Nazli FarajiDavar, Feng Gao, Thorben Iggena, Thu-Le Pham, Cosmin-Septimiu Nechifor, Daniel Puschmann, João Fernandes:
CityPulse: Large Scale Data Analytics Framework for Smart Cities. IEEE Access 4: 1086-1108 (2016) - [j2]Sefki Kolozali, Daniel Puschmann, María Bermúdez-Edo, Payam M. Barnaghi:
On the Effect of Adaptive and Nonadaptive Analysis of Time-Series Sensory Data. IEEE Internet Things J. 3(6): 1084-1098 (2016) - [c2]Daniel Puschmann, Payam M. Barnaghi, Rahim Tafazolli:
Marginal distribution clustering of multi-variate streaming IoT data. WF-IoT 2016: 466-471 - 2015
- [j1]Frieder Ganz, Daniel Puschmann, Payam M. Barnaghi, François Carrez:
A Practical Evaluation of Information Processing and Abstraction Techniques for the Internet of Things. IEEE Internet Things J. 2(4): 340-354 (2015) - 2014
- [c1]Sefki Kolozali, María Bermúdez-Edo, Daniel Puschmann, Frieder Ganz, Payam M. Barnaghi:
A Knowledge-Based Approach for Real-Time IoT Data Stream Annotation and Processing. iThings/GreenCom/CPSCom 2014: 215-222
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