dr. S.M. (Sietse) van Netten

Deputy Director of Education AI

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s.m.van.netten rug.nl


Postal address:
Gebouw 5161, ruimte 0336
9747 AG
Phone: +31 50 363 8769Fax: +31 50 363 6687
  1. 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 journalArticleAcademicpeer-review

  2. 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 journalArticleAcademicpeer-review

  3. 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 journalArticleAcademicpeer-review

  4. 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 conferencePosterAcademic

  5. 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. 1-6

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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