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Decoding high energy physics with AI and machine learning
In the world of particle physics, where scientists unravel the mysteries of the universe, artificial intelligence (AI) and ...
IEEE26d
Waste Image Segmentation Using Convolutional Neural Network Encoder-Decoder with SegNet Architecture
In this paper, we propose a waste segmentation method using Convolutional Neural Network based on the Encoder-Decoder approach of SegNet architecture [5]. We compare two different setups of the ...
IEEE28d
CCEnd-Net: Cross-Modal Cascaded Encoder-Decoder Network for Multisource Data Fusion Classification
Meanwhile, the cascaded encoder-decoder feature fusion module reconstructs multisource data features by integrating multiscale channel-spatial interaction attention (MCIA)-enhanced convolutional ...