Search results for Simulation Model

Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared

Geoscience Australia Data · Updated 14 May 2026

… simulation experiment. The prediction accuracy changes with the methods, inclusion and exclusion of slope, search window size, model …

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Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared

Australian Ocean Data Network · Updated 11 Jan 2026

… simulation experiment. The prediction accuracy changes with the methods, inclusion and exclusion of slope, search window size, model …

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Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared

Australian Ocean Data Network · Updated 23 Jan 2026

… simulation experiment. The prediction accuracy changes with the methods, inclusion and exclusion of slope, search window size, model …

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Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared

Australian Ocean Data Network · Updated 12 Feb 2026

… simulation experiment. The prediction accuracy changes with the methods, inclusion and exclusion of slope, search window size, model …

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Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared

Australian Ocean Data Network · Updated 5 Mar 2026

… simulation experiment. The prediction accuracy changes with the methods, inclusion and exclusion of slope, search window size, model …

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Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared

Australian Ocean Data Network · Updated 16 Mar 2026

… simulation experiment. The prediction accuracy changes with the methods, inclusion and exclusion of slope, search window size, model …

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Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared

Australian Ocean Data Network · Updated 29 Mar 2026

… simulation experiment. The prediction accuracy changes with the methods, inclusion and exclusion of slope, search window size, model …

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Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared

Australian Ocean Data Network · Updated 4 Apr 2026

… simulation experiment. The prediction accuracy changes with the methods, inclusion and exclusion of slope, search window size, model …

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Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared

Australian Ocean Data Network · Updated 10 Apr 2026

… simulation experiment. The prediction accuracy changes with the methods, inclusion and exclusion of slope, search window size, model …

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Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared

Australian Ocean Data Network · Updated 16 Apr 2026

… simulation experiment. The prediction accuracy changes with the methods, inclusion and exclusion of slope, search window size, model …

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Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared

Australian Ocean Data Network · Updated 5 May 2026

… simulation experiment. The prediction accuracy changes with the methods, inclusion and exclusion of slope, search window size, model …

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Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared

Australian Ocean Data Network · Updated 5 Jun 2026

… simulation experiment. The prediction accuracy changes with the methods, inclusion and exclusion of slope, search window size, model …

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Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared

Australian Ocean Data Network · Updated 17 Jun 2026

… simulation experiment. The prediction accuracy changes with the methods, inclusion and exclusion of slope, search window size, model …

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Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared

Australian Ocean Data Network · Updated 23 Jun 2026

… simulation experiment. The prediction accuracy changes with the methods, inclusion and exclusion of slope, search window size, model …

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Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared

Australian Ocean Data Network · Updated 27 Jun 2026

… simulation experiment. The prediction accuracy changes with the methods, inclusion and exclusion of slope, search window size, model …

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Southern elephant seal DEB-IBM (PLoS)

Australian Ocean Data Network · Updated 7 Aug 2026

… We aimed to develop a model which could i) simulate energy use and life histories, as well as …

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Punchbowl Catchment Flood Study

Canterbury-Bankstown Council · Updated 1 Mar 2026

… Computer Modelling A numerical computer model was developed for the catchment to simulate flood behaviour, using the software …

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Ensoleillement au 15.08

SIG-GR · Updated 7 Jul 2025

Les couches "ensoleillement" représentent des simulations de l'ensoleillement théorique basant sur le modèle numérique de la surface …

Frequency-resolved dynamic functional connectivity and scale-invariant connectivity-state behavior

open.bydata · Updated 11 Nov 2026

… extracted connectivity-states, which is corroborated by null-models, simulations, theoretical considerations, filter-banks, and scale-adjusted windows …

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A component level approach to the earthquake vulnerability of critical infrastructure facilities

Geoscience Australia Data · Updated 17 Oct 2025

… In this research a review of published component level models has been conducted and the models were adapted …

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