Browsing by Subject "Machine learning"
Now showing items 1-5 of 5
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Automated Searching and Identification of Self-Organised Nanostructures - Output Images
(The University of Nottingham, 2020-08-05)A dataset of >5000 variable AFM dewetting images as classified by a machine learning system. This network was trained on specific, automatically labelled simulations of target nanoparticle structures present within the dataset. -
Catalogue of radial velocity predictions for Gaia DR3
(University of Nottingham, 2022-06-10)This catalogue accompanies our article (Naik & Widmark, 2022), in which we demonstrate the use of Bayesian neural networks for predicting the missing radial (line-of-sight) velocities of stars observed by the Gaia ... -
DFT data used in training MolE8 chemical ML models
(The University of Nottingham, 2021-11-09)=============================================================== Data for paper "MolE8: Finding DFT Potential Energy Surface Minima Values from Force-Field Optimised Organic Molecules with New Machine Learning ... -
Improving the segmentation of scanning probe microscope images using convolutional neural networks
(The University of Nottingham, 2020-09-01)Training/Testing images and trained UNet model for the paper "Improving the Segmentation of Scanning Probe Microscope Images using Convolutional Neural Networks", Farley et al. -
Prediction of broad spectrum pathogen attachment to coating materials for biomedical devices data
(The University of Nottingham, 2018-12-21)Bacterial infections in healthcare settings are a frequent accompaniment to both routine procedures such as catheterization and surgical site interventions. Their impact is becoming even more marked as the numbers of medical ...