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Abstract: This paper proposes a registration method combining region-based registration with multi-feature fusion to address the challenges of large modality differences and feature matching ...

Researchers working on China's fully superconducting Experimental Advanced Superconducting Tokamak (EAST) have experimentally accessed a theorized "density-free regime" for fusion plasmas, achieving ...

Abstract: Covariance intersection (CI) is an algorithm used for data fusion that combines uncertain information from multiple sources. The algorithm does not demand knowledge of the correlation ...

Official TensorFlow/Keras implementation for the paper: "S³F-Net: A Multi-Modal Approach to Medical Image Classification via Spatial-Spectral Summarizer Fusion Network" Summary: Standard Convolutional ...

Researchers working on China's fully superconducting Experimental Advanced Superconducting Tokamak (EAST) have experimentally accessed a theorized "density-free regime" for fusion plasmas, achieving ...