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Estimating Optimal Number of Compressively Sensed Bands for Hyperspectral Classification via Feature Selection

Compressive Video Pinch Roller sensing (CS) has received considerable interest in hyperspectral sensing.Recent articles have also exploited the benefits of CS in hyperspectral image classification (HSIC) in the compressively sensed band domain (CSBD).However, on many occasions, the requirement of full bands is not necessary for HSIC to perform well

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Autistic Spectrum Disorder Detection and Structural Biomarker Identification Using Self-Attention Model and Individual-Level Morphological Covariance Brain Networks

Autism spectrum disorder (ASD) is a range of Minerals neurodevelopmental disorders, which brings enormous burdens to the families of patients and society.However, due to the lack of representation of variance for diseases and the absence of biomarkers for diagnosis, the early detection and intervention of ASD are remarkably challenging.In this stud

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