Sietse van Netten

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33 Article
6 Conference contribution
5 Chapter
2 Review article
Meer

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.
Onderzoeksoutput › Academic › peer review

Open Access
Bestand

3 Citaten (Scopus)

33 Downloads (Pure)
Biophysics of the Lateral Line and Applications
Wolf, B. & van Netten, S., 2020, The Senses: A Comprehensive Reference (Second Edition). Fritzsch, B. (redactie). 2 redactie Elsevier Science, Vol. 7. blz. 116-132 17 blz.
Onderzoeksoutput › 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, blz. 11393-11404 12 blz., 8954645.
Onderzoeksoutput › Academic › peer review

Open Access
Bestand

8 Citaten (Scopus)

134 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.
Onderzoeksoutput › Academic › peer review

Open Access
Bestand

10 Citaten (Scopus)

106 Downloads (Pure)
Hydrodynamic Imaging using an all-optical 2D Artiﬁcial Lateral Line
Wolf, B. & van Netten, S., 6-mei-2019, 2019 IEEE Sensors Applications Symposium (SAS). IEEE, blz. 1-6
Onderzoeksoutput › Academic › peer review

Open Access
Bestand

10 Citaten (Scopus)

81 Downloads (Pure)

2D-sensitive flow sensor array data set for five different objects
Wolf, B. (Creator) & van Netten, S. (Creator), DataverseNL, 2019
DOI: 10.34894/SDETIR
Dataset
Dipole localisation predictions data set
Bot, D. M. (Contributor), Wolf, B. J. (Contributor) & van Netten, S. (Contributor), ZENODO, 17-jun.-2021
DOI: 10.5281/zenodo.4973492
Dataset

Sietse van Netten

Samenwerkingen en hoofdonderzoeksgebieden uit de afgelopen vijf jaar

Duik in 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

Dipole localisation predictions data set

Sietse van Netten

Samenwerkingen en hoofdonderzoeksgebieden uit de afgelopen vijf jaar

Onderzoeksoutput

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

Dipole localisation predictions data set