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MLAir (v1.0.0) - a tool to enable fast and flexible machine learning on air d...
MLAir (Machine Learning on Air data) is an environment that simplifies and accelerates the creation of new machine learning (ML) models for the analysis and forecasting of... -
Exploring decomposition of temporal patterns to facilitate learning of neural...
This record contains data for the manuskript "Exploring decomposition of temporal patterns to facilitate learning of neural networks for ground-level daily maximum 8-hour... -
MLAir (v1.0.0) - a tool to enable fast and flexible machine learning on air d...
MLAir (Machine Learning on Air data) is an environment that simplifies and accelerates the creation of new machine learning (ML) models for the analysis and forecasting of... -
O3ResNet: A deep learning based forecast system to predict local ground-level...
This record contains data for the manuscript "O3ResNet: A deep learning based forecast system to predict local ground-level daily maximum 8-hour average ozone" by L. H. Leufen,... -
O3ResNet: A deep learning based forecast system to predict local ground-level...
This record contains data for the manuscript "O3ResNet: A deep learning based forecast system to predict local ground-level daily maximum 8-hour average ozone in rural and... -
Global, high-resolution mapping of tropospheric ozone – explainable machine l...
This source code contains all methods that is being used in ozone mapping project. In addition, it contains scripts to run both explainable AI methods and methods used to study... -
Exploring decomposition of temporal patterns to facilitate learning of neural...
This record contains data for the manuskript "Exploring decomposition of temporal patterns to facilitate learning of neural networks for ground-level daily maximum 8-hour...
