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197 datasets for “machine-learning”
- 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 16 Mar 2026
… In this study, we further test the performance of machine learning methods in combination with ordinary kriging (OK …
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- 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 29 Mar 2026
… In this study, we further test the performance of machine learning methods in combination with ordinary kriging (OK …
- HTML
- 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 4 Apr 2026
… In this study, we further test the performance of machine learning methods in combination with ordinary kriging (OK …
- HTML
- 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 10 Apr 2026
… In this study, we further test the performance of machine learning methods in combination with ordinary kriging (OK …
- HTML
- 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 16 Apr 2026
… In this study, we further test the performance of machine learning methods in combination with ordinary kriging (OK …
- HTML
- 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 May 2026
… In this study, we further test the performance of machine learning methods in combination with ordinary kriging (OK …
- HTML
- 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 Jun 2026
… In this study, we further test the performance of machine learning methods in combination with ordinary kriging (OK …
- HTML
- 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 17 Jun 2026
… In this study, we further test the performance of machine learning methods in combination with ordinary kriging (OK …
- HTML
- 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 Jun 2026
… In this study, we further test the performance of machine learning methods in combination with ordinary kriging (OK …
- HTML
- 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 27 Jun 2026
… In this study, we further test the performance of machine learning methods in combination with ordinary kriging (OK …
- HTML
- data.gov.au
Advancing Radiometric Mapping in Australia: Bridging Gaps and Enhancing Mineral Exploration
Geoscience Australia DataUpdated 24 Jun 2026
This study advances radiometric mapping in Australia by applying machine learning and deep learning to enhance potassium concentration …
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- Data.gov Catalog
Utah FORGE: Phase-Picking Based Microseismic Event Catalog - April 2024 Stimulation
University Of UtahUpdated 23 Feb 2026
This catalog contains microseismic event locations recorded during the April 2024 stimulation at the Utah FORGE site. Events …
- CSV
- Open Government Canada
CCDR: Volume 46-6 -June 2020: Artificial intelligence in public health
Public Health Agency of Canada | Agence de la santé publique du CanadaUpdated 5 Jun 2020
The Canada Communicable Disease Report is a bilingual, open-access, peer-reviewed journal on the prevention and control …
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- Data.gov Catalog
Utah FORGE 2-2439v2: A Multi-Component Approach to Characterizing In-Situ Stress - Final Report
University of PittsburghUpdated 22 Dec 2025
… at the Utah FORGE EGS site that integrates Machine Learning (ML) methods for predicting near-well principal stresses …
- Data.gov Catalog
The National Artificial Intelligence Research and Development Strategic Plan: 2019 Update
NCO NITRDUpdated 20 Nov 2018
Artificial intelligence (AI) holds tremendous promise to benefit nearly all aspects of society, including the economy, healthcare, security …
- Data.gov Catalog
EGS Collab Experiment 1: 3D Seismic Velocity Model and Updated Microseismic Catalog Using Transfer-Learning Aided Double-Difference Tomography
Oak Ridge National LaboratoryUpdated 17 Feb 2025
This package contains a 3D Seismic velocity model and an updated microseismic catalog associated with a proceedings paper …
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- data.gov.au
Building a Better Geochemical Picture of the Australian Landscape
Geoscience Australia DataUpdated 16 Oct 2025
… Levelled samples were used to train a machine learning algorithm (RandomForests) to generate a suite of predictive geochemical …
- data.gov.au
Revised weathering intensity model of Australia
Geoscience Australia DataUpdated 16 Oct 2025
… Here, I use a random forest decision tree machine learning algorithm to first establish a relationship between field …
- Data.gov Catalog
Aboveground Biomass Estimates for Salt Marsh for the Contiguous United States, 2020
ORNL_DAACUpdated 5 Nov 2026
… Estimates were generated by XGBoost machine learning regression. Salt marsh extent was classified using an ensemble of XGBoost …
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- BIN
- Open Government Canada
Government of Canada AI Register (Minimum Viable Product)
Treasury Board of Canada Secretariat | Secrétariat du Conseil du Trésor du CanadaUpdated 28 Apr 2026
The Government of Canada (GC) Artificial Intelligence (AI) Register collects information about the Government of Canada's AI …
- CSV