Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A multiplexed FBG based sensor platform for flow and temperature measurements in the Baltic Sea
Dzipalski, A., Morton, J. A. S., Papachristou, N., Maier, R. R. J., MacPherson, W. N., Ristolainen, A., Kruusmaa, M., Reilent, E., Wolf, B. J., Pirih, P., van Netten, S. M., Shuhova, I., Lips, U., McFarlane, N., Macleod, R., Hendry, M., Sheehy, J., Almoghayer, M., Rojas, N. & Davies, G. & 2 others, , 23-May-2023, European Workshop on Optical Fibre Sensors, EWOFS 2023. Wuilpart, M. & Caucheteur, C. (eds.). SPIE, 1264307. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 12643).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
1 Citation (Scopus) -
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 AccessFile3 Citations (Scopus)68 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
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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 AccessFile14 Citations (Scopus)194 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 AccessFile15 Citations (Scopus)164 Downloads (Pure)
Datasets
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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
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Dipole localisation predictions data set
Bot, D. M. (Contributor), Wolf, B. J. (Contributor) & van Netten, S. (Contributor), ZENODO, 17-Jun-2021
Dataset