1. 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

2. 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

3. 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

4. Sensor element and method for measuring of near-field, large-scale hydrodynamic characteristics

   van Netten, S. M., Wolf, B. J. & MacPherson, W. N., 7-Nov-2018, Patent No. EP3399320, Priority date 2-May-2017

   Research output: Patent › Professional

5. Training submerged source detection for a 2D fluid flow sensor array with Extreme Learning Machines

   Wolf, B. & van Netten, S., 15-Mar-2019, Eleventh International Conference on Machine Vision (ICMV 2018). SPIE.Digital Library, Vol. 11041. p. 1104126 8 p.

   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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