Abstract: We present a novel method for reconstructing a 3D implicit surface from a large-scale, sparse, and noisy point cloud. Our approach builds upon the recently introduced Neural Kernel Fields ...
Abstract: This study introduces a novel strategy for waste segregation employing Convolutional Neural Networks (CNNs) and Python programming. By harnessing CNNs’ image feature extraction capabilities, ...
Abstract: Liquid Neural Networks (LNNs) are an innovative class of neural architectures that employ dynamic reservoirs to process temporal data. Unlike traditional feed forward networks, LNNs ...
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