Leon Besseling

Research activity per year

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Dive into the research topics where Leon Besseling is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

4 Abstract
1 Conference contribution
1 Article

Fast computation of dike breach growth and outflow
Besseling, L., Bomers, A., Warmink, J. J. & Hulscher, S. J. M. H., 28 Feb 2024, p. 64-65.
Research output: Contribution to conference › Abstract › Academic

Open Access
Predicting Flood Inundation after a Dike Breach Using a Long Short-Term Memory (LSTM) Neural Network
Besseling, L. S., Bomers, A. & Hulscher, S. J. M. H., 12 Sept 2024, In: Hydrology. 11, 9, 19 p., 152.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
File
10 Downloads (Pure)
Application of machine learning for real-time prediction of dike breach inundation
Besseling, L., Bomers, A. & Hulscher, S. J. M. H., 2023, p. 36-37. 2 p.
Research output: Contribution to conference › Abstract › Academic

Open Access
Towards real-time probabilistic assessment of dike failure and corresponding outflow
Besseling, L., Bomers, A. & Hulscher, S. J. M. H., 2023. 1 p.
Research output: Contribution to conference › Abstract › Academic
Assessing the performance of an LSTM neural network and a HAND model for long-term real-time flood forecasting
Besseling, L. & Bomers, A., 13 Apr 2022, p. 24-25. 2 p.
Research output: Contribution to conference › Abstract › Academic

Data accompanying the publication: Predicting Flood Inundation After a Dike Breach Using a Long Short-Term Memory (LSTM) Neural Network
Besseling, L. S. (Creator), Bomers, A. (Creator) & Hulscher, S. J. M. H. (Creator), 4TU.Centre for Research Data, 16 Sept 2024
DOI: 10.4121/6fd289d8-ec0e-4dd9-94fd-4566783e9c3d, https://data.4tu.nl/datasets/6fd289d8-ec0e-4dd9-94fd-4566783e9c3d/1 and one more link, https://doi.org/10.4121/6fd289d8-ec0e-4dd9-94fd-4566783e9c3d.v1 (show fewer)
Dataset

1 Membership of board

Board Young NCR (External organisation)
Besseling, L. (Member)
2023 → …
Activity: Membership › Membership of board

Leon Besseling

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Research output

Fast computation of dike breach growth and outflow

Predicting Flood Inundation after a Dike Breach Using a Long Short-Term Memory (LSTM) Neural Network

Application of machine learning for real-time prediction of dike breach inundation

Towards real-time probabilistic assessment of dike failure and corresponding outflow

Assessing the performance of an LSTM neural network and a HAND model for long-term real-time flood forecasting

Datasets

Data accompanying the publication: Predicting Flood Inundation After a Dike Breach Using a Long Short-Term Memory (LSTM) Neural Network

Activities

Board Young NCR (External organisation)