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197 datasets for “machine-learning”

  1. data.gov.au

    Predicting Seabed Sand Content across the Australian Margin Using Machine Learning and Geostatistical Methods

    Australian Ocean Data NetworkUpdated 16 Apr 2026

    In this study, we aim to identify the most appropriate methods for spatial interpolation of seabed sand content …

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  2. data.gov.au

    Predicting Seabed Sand Content across the Australian Margin Using Machine Learning and Geostatistical Methods

    Australian Ocean Data NetworkUpdated 28 Apr 2026

    In this study, we aim to identify the most appropriate methods for spatial interpolation of seabed sand content …

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  3. data.gov.au

    Predicting Seabed Sand Content across the Australian Margin Using Machine Learning and Geostatistical Methods

    Australian Ocean Data NetworkUpdated 5 May 2026

    In this study, we aim to identify the most appropriate methods for spatial interpolation of seabed sand content …

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  4. data.gov.au

    Predicting Seabed Sand Content across the Australian Margin Using Machine Learning and Geostatistical Methods

    Australian Ocean Data NetworkUpdated 4 Jun 2026

    In this study, we aim to identify the most appropriate methods for spatial interpolation of seabed sand content …

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  5. data.gov.au

    Predicting Seabed Sand Content across the Australian Margin Using Machine Learning and Geostatistical Methods

    Australian Ocean Data NetworkUpdated 17 Jun 2026

    In this study, we aim to identify the most appropriate methods for spatial interpolation of seabed sand content …

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  6. data.gov.au

    Predicting Seabed Sand Content across the Australian Margin Using Machine Learning and Geostatistical Methods

    Australian Ocean Data NetworkUpdated 23 Jun 2026

    In this study, we aim to identify the most appropriate methods for spatial interpolation of seabed sand content …

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  7. data.gov.au

    Predicting Seabed Sand Content across the Australian Margin Using Machine Learning and Geostatistical Methods

    Australian Ocean Data NetworkUpdated 31 Jul 2026

    In this study, we aim to identify the most appropriate methods for spatial interpolation of seabed sand content …

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  8. data.gov.au

    AEM Assist: A national machine learning tool for airborne electromagnetic interpretation and extrapolation

    Geoscience Australia DataUpdated 16 Oct 2025

    … To address this challenge, we have developed a machine learning workflow to assist with the interpretation of AEM …

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  9. data.gov.au

    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 DataUpdated 17 Oct 2025

    … In this study, we further test the performance of machine learning methods in combination with ordinary kriging (OK …

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  10. data.gov.au

    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 DataUpdated 20 Jan 2026

    … In this study, we further test the performance of machine learning methods in combination with ordinary kriging (OK …

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  11. data.gov.au

    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 DataUpdated 2 Mar 2026

    … In this study, we further test the performance of machine learning methods in combination with ordinary kriging (OK …

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  12. data.gov.au

    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 DataUpdated 7 Mar 2026

    … In this study, we further test the performance of machine learning methods in combination with ordinary kriging (OK …

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  13. data.gov.au

    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 DataUpdated 25 Mar 2026

    … In this study, we further test the performance of machine learning methods in combination with ordinary kriging (OK …

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  14. data.gov.au

    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 DataUpdated 20 Apr 2026

    … In this study, we further test the performance of machine learning methods in combination with ordinary kriging (OK …

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  15. data.gov.au

    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 DataUpdated 30 Apr 2026

    … In this study, we further test the performance of machine learning methods in combination with ordinary kriging (OK …

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  16. data.gov.au

    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 DataUpdated 14 May 2026

    … In this study, we further test the performance of machine learning methods in combination with ordinary kriging (OK …

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  17. data.gov.au

    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 NetworkUpdated 11 Jan 2026

    … In this study, we further test the performance of machine learning methods in combination with ordinary kriging (OK …

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    • HTML
  18. data.gov.au

    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 NetworkUpdated 23 Jan 2026

    … In this study, we further test the performance of machine learning methods in combination with ordinary kriging (OK …

    • PDF
    • HTML
  19. data.gov.au

    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 NetworkUpdated 12 Feb 2026

    … In this study, we further test the performance of machine learning methods in combination with ordinary kriging (OK …

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    • HTML
  20. data.gov.au

    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 NetworkUpdated 5 Mar 2026

    … In this study, we further test the performance of machine learning methods in combination with ordinary kriging (OK …

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“machine-learning” datasets · Open Data Finder