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13 datasets for “neural network”
- data.gov.au
Classification of Australian crude oils by artificial neural network and geochemical hydrocarbon characteristics
Geoscience Australia DataUpdated 16 Oct 2025
In this study, an artificial neural network (ANN) and a data set of geochemical hydrocarbon characteristics consists of …
- PPTX
- Data.gov Catalog
INTEGRATE - Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements
National Renewable Energy Laboratory (NREL)Updated 16 Jun 2022
… INVERTIBLE NEURAL NETWORKS Researchers are leveraging a specialized invertible neural network (INN) architecture along with the novel dimension …
- J060866
- 2022-1098
- 2022-1293
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- 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 …
- HTML
- data.gov.au
Find a rock or a rock nearby using Convolution Neural Networks
Geoscience Australia DataUpdated 16 Oct 2025
… A machine learning, Convolutional Neural Network (CNN) has been applied to detect outcrops (exposed bedrock at the earth …
- 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.au
Well log data analysis and interpretation on the pre-Carboniferous succession in Waukarlycarly 1, Canning Basin, Western Australia
Geoscience Australia DataUpdated 23 Oct 2025
… Artificial neural network technology was employed on well logs to interpret the total organic carbon (TOC) content, pyrolysis …
- Data.gov Catalog
Global MODIS and FLUXNET-derived Daily Gross Primary Production, V2
ORNL_DAACUpdated 5 Nov 2026
… BRDF)-Adjusted Reflectances (NBAR) product as input to neural networks that were used to globally upscale GPP estimated …
- ISO
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- BIN
- Data.gov Catalog
Forest Aboveground Biomass for Maine, 2023
ORNL_DAACUpdated 5 Nov 2026
… USGS 3DEP project and a deep learning convolutional neural network (CNN) model. The airborne LiDAR datasets used in …
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- Data.gov Catalog
Daily FluxSat GPP of biomass over Land, Based on MODIS Terra and Aqua adjusted reflectance Collection 6.1, on a Global 0.05 by 0.05 Degree Grid, Level 3 Version 2.2
NASA/GSFC/SED/ESD/TISL/GESDISCUpdated 5 Nov 2026
… NBAR) product, which is used as input to neural network models to globally upscale GPP estimated from selected …
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- Data.gov Catalog
MERRA2_CNN_HAQAST bias corrected global hourly surface total PM2.5 mass concentration, V1 (MERRA2_CNN_HAQAST_PM25)
NASA/GSFC/SED/ESD/TISL/GESDISCUpdated 5 Nov 2026
… It is derived using a machine learning (ML) approach with a convolutional neural network (CNN) method and is …
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- Data.gov Catalog
High Resolution Global Contiguous SIF Estimates from OCO-2 SIF and MODIS, Version 2
ORNL_DAACUpdated 5 Nov 2026
… SIF observations and produced by training an artificial neural network (ANN) on the native OCO-2 SIF observations …
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- BIN
- Data.gov Catalog
GeoCryoAI: Ensemble Learning and the Permafrost Carbon Feedback in Alaska, 1963-2022
ORNL_DAACUpdated 5 Nov 2026
… convolutionally layered long short-term memory-encoded recurrent neural networks. The purpose of GeoCryoAI is to quantify permafrost …
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- data.gov.au
Wireline log data analysis in NDI Carrara 1, Northern Territory
Geoscience Australia DataUpdated 16 Oct 2025
… Artificial neural network technology is used to interpret the TOC content from wireline logs for unconventional shale gas …