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.

   Research output: Contribution to journal › Article › Academic › peer-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 journal › Article › Academic › peer-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 journal › Article › Academic › peer-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 conference › Poster › Academic

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 proceeding › Conference contribution › Academic › peer-review

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1. 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

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