Abstract: 3D classification is complex and challenging because of high-dimensional data, the intricate nature of their spatial relationships, and viewpoint variations. We fill the gap in view-based 3D ...
Abstract: This article presents an innovative multichannel hybrid 2D–3D-convolutional neural network (MH-2D-3D-CNN) model specifically designed for the challenging task of hyperspectral image ...
Introduction: The rapid and accurate identification of natural and non-natural seismic events is crucial for compiling comprehensive earthquake catalogs and assessing regional seismic risk. Methods: ...
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