Nicolas Winkler

Nicolas Winkler

Contact

Nicolas Winkler

AASS Research Centre
School of Science and Technology
Örebro University
70182 Örebro, Sweden
Phone +49 30 8104 3252
nicolas.winkler@bam.de

Publications

Refereed Conference and Workshop Articles

[1]	N. P. Winkler, P. P. Neumann, E. Schaffernicht, A. Lilienthal, M. Poikkimäki, A. Kangas and A. Säämänen. Gather Dust and Get Dusted : Long-Term Drift and Cleaning of Sharp GP2Y1010AU0F Dust Sensor in a Steel Factory. 2022 [ BibTeX \| DiVA \| PDF ]
[2]	N. P. Winkler, O. Kotlyar, E. Schaffernicht, H. Fan, H. Matsukura, H. Ishida, P. P. Neumann and A. Lilienthal. Learning From the Past : Sequential Deep Learning for Gas Distribution Mapping. In ROBOT2022 : Fifth Iberian Robotics Conference: Advances in Robotics, Volume 2, 590(590):178-188, 2022 [ BibTeX \| DiVA ]
[3]	N. P. Winkler, H. Matsukura, P. P. Neumann, E. Schaffernicht, H. Ishida and A. J. Lilienthal. Super-Resolution for Gas Distribution Mapping : Convolutional Encoder-Decoder Network. In 2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) 2022 [ BibTeX \| DiVA ]
[4]	N. P. Winkler, P. P. Neumann, H. Kohlhoff, J. Erdmann, E. Schaffernicht and A. Lilienthal. Development of a Low-Cost Sensing Node with Active Ventilation Fan for Air Pollution Monitoring. In SMSI 2021 Proceedings, pages 260-261, 2021 [ BibTeX \| DiVA \| PDF ]
[5]	N. P. Winkler, P. P. Neumann, E. Schaffernicht and A. Lilienthal. Using Redundancy in a Sensor Network to Compensate Sensor Failures. In 2021 IEEE SENSORS 2021 [ BibTeX \| DiVA ]
[6]	N. P. Winkler, P. P. Neumann, E. Schaffernicht and A. J. Lilienthal. Using Redundancy in a Sensor Network to Compensate Sensor Failures. In 2021 IEEE SENSORS 2021 [ BibTeX \| DiVA ]
[7]	N. P. Winkler, P. P. Neumann, A. Säämänen, E. Schaffernicht and A. J. Lilienthal. High-quality meets low-cost : Approaches for hybrid-mobility sensor networks. In MATERIALS TODAY-PROCEEDINGS, 32:250-253, 2020 [ BibTeX \| DiVA ]

Find the complete BibTeX record here.

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