Energy and Sustainability

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Browsing Energy and Sustainability by Subject "'artificial intelligence'"

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    Results from deep learning tests using balanced databases for the classification of paper and cardboard materials.
    (Cranfield University, 2019-10-14 14:28) Vrancken, Carlos; Wagland, Stuart; Longhurst, Philip
    For methodology used to obtain these results please refer to the publication: "Deep learning in material recovery: Development of method to create training database".These results were obtained using grayscale version of the images.The "Balanced dataset - classification results" spreadsheet includes:Sheet 1 - classification results when classifying 3 classes of fibre materials using increasing number of samples per class in a balanced training datasetSheet 2 - classification results when using a balanced dataset with 5,000 training samples per class to classify 10 classes of fibre waste material