Sietse van Netten

View Scopus Profile

Phone+31 50 363 8769, +31 50 363 6687
EmailS.M.van.Nettenrugnl

Nijenborgh9, Gebouw 5161, ruimte 0336
9747 AG Groningen
Netherlands

If you made any changes in Pure these will be visible here soon.

33 Article
6 Conference contribution
5 Chapter
2 Review article
More

The quadrature method: A novel dipole localisation algorithm for artificial lateral lines compared to state of the art
Bot, D. M., Wolf, B. J. & van Netten, S. M., 2-Jul-2021, In: Sensors. 21, 13, 4558.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
File

13 Downloads (Pure)
Biophysics of the Lateral Line and Applications
Wolf, B. & van Netten, S., 2020, The Senses: A Comprehensive Reference (Second Edition). Fritzsch, B. (ed.). 2 ed. Elsevier Science, Vol. 7. p. 116-132 17 p.
Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review
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

Open Access
File

2 Citations (Scopus)

79 Downloads (Pure)
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

Open Access
File

3 Citations (Scopus)

70 Downloads (Pure)
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

Open Access
File

6 Citations (Scopus)

23 Downloads (Pure)

2D-sensitive flow sensor array data set for five different objects
Wolf, B. (Creator) & van Netten, S. (Creator), University of Groningen, 2019
DOI: 10411/BWQMTQ
Dataset
2D-sensitive flow sensor array data set for five different objects
Wolf, B. (Contributor) & van Netten, S. (Contributor), DataverseNL, 17-Jun-2019
DOI: 10.34894/sdetir
Dataset

Sietse van Netten

Network

Dive into details

The quadrature method: A novel dipole localisation algorithm for artificial lateral lines compared to state of the art

Biophysics of the Lateral Line and Applications

Shape Classification Using Hydrodynamic Detection via a Sparse Large-Scale 2D-Sensitive Artificial Lateral Line

Three-dimensional multi-source localization of underwater objects using convolutional neural networks for artificial lateral lines

Hydrodynamic Imaging using an all-optical 2D Artiﬁcial Lateral Line

2D-sensitive flow sensor array data set for five different objects

2D-sensitive flow sensor array data set for five different objects

Sietse van Netten

Network

Research output

The quadrature method: A novel dipole localisation algorithm for artificial lateral lines compared to state of the art

Biophysics of the Lateral Line and Applications

Shape Classification Using Hydrodynamic Detection via a Sparse Large-Scale 2D-Sensitive Artificial Lateral Line

Three-dimensional multi-source localization of underwater objects using convolutional neural networks for artificial lateral lines

Hydrodynamic Imaging using an all-optical 2D Artiﬁcial Lateral Line

Datasets

2D-sensitive flow sensor array data set for five different objects

2D-sensitive flow sensor array data set for five different objects