dr. S.M. (Sietse) van Netten
Deputy Director of Education AI

E-mail:
s.m.van.netten rug.nl
Research
Research units:
Postal address:
Nijenborgh9
Gebouw 5161, ruimte 0336
9747 AG
Groningen
Netherlands
Phone: +31 50 363 8769Fax: +31 50 363 6687
Publications
Shape Classification Using Hydrodynamic Detection via a Sparse Large-Scale 2D-Sensitive Artificial Lateral Line
Wolf, B., Pirih, P., Kruusmaa, M. & van Netten, S., 9-Jan-2020, In : IEEE Access. 8, p. 11393-11404 12 p., 8954645.Research output: Contribution to journal › Article › Academic › peer-review
Three-dimensional multi-source localization of underwater objects using convolutional neural networks for artificial lateral lines
Wolf, B. J., van de Wolfshaar, J. & van Netten, S. M., Jan-2020, In : Journal of the Royal Society Interface. 17, 162, 20190616.Research output: Contribution to journal › Article › Academic › peer-review
Recurrent neural networks for hydrodynamic imaging using a 2D-sensitive artificial lateral line
Wolf, B. J., Warmelink, S. & van Netten, S. M., 11-Jul-2019, In : Bioinspiration & biomimetics. 14, 5, 10 p., 055001.Research output: Contribution to journal › Article › Academic › peer-review
Performance of Neural Networks in Source Localization using Artificial Lateral Line Sensor Configurations
van der Meulen, P., Wolf, B., Pirih, P. & van Netten, S., 19-Mar-2018.Research output: Contribution to conference › Poster › Academic
Hydrodynamic Imaging using an all-optical 2D Artificial Lateral Line
Wolf, B. & van Netten, S., 6-May-2019, 2019 IEEE Sensors Applications Symposium (SAS). IEEE, p. 1-6Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Datasets
2D-sensitive flow sensor array data set for five different objects
Wolf, B. (Creator) & Netten, van, S. (Creator), University of Groningen, 2019
DOI: https://doi.org/10411/BWQMTQ
Dataset
ID: 119946