Spatial data generalisation is a critical process in cartography and geographic information science, enabling the simplification of complex geospatial datasets while retaining essential structural and ...
The application of neural networks to halftone image processing has catalysed transformative advances in both the generation and restoration of digital images. By leveraging deep learning ...
Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies. After testing the new approach in combination with the 1D-CNN ...
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