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Understanding human biology requires more than mapping our genes—we must also understand how gene expression is regulated to ...
A deep learning (DL)–based model achieved a high ... Researchers developed a DL-based tool using the neural network U-Net (nnU-Net) architecture for the automated segmentation of retrospectively ...
Abstract: The rapid proliferation of computing domains relying on Internet of Things (IoT) devices has created a pressing need for efficient and accurate deep-learning (DL ... To address this ...
Specifically, the encoder compresses high-dimensional monitoring data to capture the essential features of the slope’s normal behavior, while the decoder ... architecture of the model is shown in ...
The proposed algorithm comprises two primary components: a blur feature extraction module and a cascaded encoder-decoder feature fusion module. Specifically, the blur feature extraction module ...
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