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Nick Cartwright

Griffith University

SCHOLARLY PAPERS

5

DOWNLOADS

225

TOTAL CITATIONS

0

Scholarly Papers (5)

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1.

Predicting Groundwater Net Recharge Using Machine Learning Models

Number of pages: 33 Posted: 30 May 2024
Dima Al Atawneh, Nick Cartwright, Rebecca Doble, Sreekanth Janardhanan and Edoardo Bertone
affiliation not provided to SSRN, Griffith University, affiliation not provided to SSRN, affiliation not provided to SSRN and Griffith University
Downloads 73 (891,180)

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Machine learning, Groundwater, Net Recharge, WAVES, Climate, South Australia

2.

The Influence of a Significant Flood Event on the Redistribution of Benthic Sediments in a Sub-Tropical Estuary

Number of pages: 28 Posted: 26 Dec 2023
Jemma Purandare, Nicholas Doriean, Andrew P. Brooks, Nick Cartwright, Rodger Tomlinson, Mark Gibbs and Lynne Butterworth
affiliation not provided to SSRN, affiliation not provided to SSRN, Griffith University - Coastal and Marine Research Centre, Griffith University, affiliation not provided to SSRN, Australian Institute of Marine Science and affiliation not provided to SSRN
Downloads 54 (1,052,702)

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Sediment redistribution, flooding, estuary, rainfall, Monitoring

3.

Upscaling and Bias Correcting 2d Wave Spectra a Comparison of Deep Learning Approaches

Number of pages: 27 Posted: 03 Mar 2025
Leo Peach, Guilherme Viera Da Silva, Nick Cartwright and Darrell Strauss
affiliation not provided to SSRN, affiliation not provided to SSRN, Griffith University and Griffith University
Downloads 51 (1,063,489)

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Machine learning, Deep Learning, Wave Spectra

4.

Hybrid One-Line/ 2dh Model of Submerged Breakwater for Coastal Protection

Number of pages: 48 Posted: 26 May 2023
Subaru Ken Muroi, Edoardo Bertone, Nick Cartwright and Fernando Alvarez
affiliation not provided to SSRN, Griffith University, Griffith University and affiliation not provided to SSRN
Downloads 26 (1,372,601)

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submerged breakwaters, artificial reefs, numerical modeling, coastal dynamics, process-based modeling

5.

Machine Learning Methods for Predicting Shoreline Change from Submerged Breakwater Simulations

Number of pages: 44 Posted: 24 Jul 2024
Subaru Ken Muroi, Edoardo Bertone, Nick Cartwright and Fernando Alvarez
affiliation not provided to SSRN, Griffith University, Griffith University and affiliation not provided to SSRN
Downloads 21 (1,436,435)

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submerged breakwaters, artificial reefs, Machine Learning, Neural Network, Gaussian process regressor