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Single image super resolution for spatial enhancement of hyperspectral remote sensing imagery
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Deep learning based image super-resolution with adaption and extension of convolutional neural network models
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Segmentation and quantification of oropharynx and larynx tumours from MRI data
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Indoor navigation efficiency improvement in intelligent assistive systems (IAS) using neural networks
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Methodologies for earth observation with hyperspectral analysis and multimodal image fusion
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Adaptive spatial image steganography and steganalysis using perceptual modelling and machine learning
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Remote sensing and machine learning for prediction of wheat growth in precision agriculture applications
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Design and implementation of components for renewably-powered base-stations with heterogeneous access channel
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