MAE, a self-supervised learning framework designed to automate 3D segmentation of plant organs from point cloud data.

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

Abstract: Multisource data fusion offers great potential for land cover classification. However, the substantial differences in data structures and content representations across various remote ...

Abstract: Deforestation remains a critical global environmental concern, requiring effective monitoring approaches. This letter presents a novel attention-powered encoder–decoder neural network ...

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This is a simple Digipin encoder and decoder app made with flutter, this uses the Digipin package to encode and decode it ...