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Showing 1 to 3 of 3 for “"DL architecture"”.
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A 3D Deep Learning Architecture for Denoising Low-Dose CT Scans
… 3D-DDnet, a cutting-edge 3D deep learning (DL) framework designed to improve the image quality of low-dose computed tomography (LDCT) scans. Although LDCT scans are advantageous for reducing radiation exposure, they inherently suffer from reduced image quality. Our novel 3D DL architecture …
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Deep Learning Architectures for Improving Weather Research and Forecasting (WRF) Precipitation Estimates and Landslide Susceptibility Mapping: A Case Study of Puerto Rico
… challenges, the implementation of deep learning (DL) models utilizing high-resolution radar data offers a promising strategy for increasing the accuracy of precipitation estimations. Additionally, DL models can be employed to predict landslide susceptibility maps (LSM) that rely on forecasted …
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Prototyping Digital Libraries Handling Heterogeneous Data Sources - An ETANA-DL Case Study
… experiences in creating a prototype for ETANA-DL. ETANA-DL is a model-based, componentized, extensible, archaeological Digital Library that manages complex information sources using the client-server paradigm of the Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH). We have …