Extraction of mineralized indicator minerals using ensemble learning model optimized by SSA based on hyperspectral image

Mineralized indicator minerals are an important geological and mineral exploration indicator.Rapid extraction of mineralized indicator minerals from hyperspectral remote sensing images using ensemble learning model has important geological significance for mineral resources exploration.In this study, two mineralized indicator minerals, limonite and

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Modeling Structural Equations for Predicting Death Anxiety Associated with COVID-19 Based on Mediating Roles of Emotion Regulation and Meaning in Life

Background and purpose: Life and death became significant issues with the outbreak of the COVID-19 and its aftermath.Previous studies have shown that having meaning in life and the ability to regulate emotion can play effective roles in coping with death anxiety.The present study investigated the relationship between COVID-19 anxiety and death anxi

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Unsupervised Image Segmentation on 2D Echocardiogram

Echocardiography is a widely used, non-invasive imaging technique for diagnosing and monitoring heart conditions.However, accurate Fat Quarter Bundles segmentation of cardiac structures, particularly the left ventricle, remains a complex task due to the inherent variability and noise in echocardiographic images.Current supervised models have achiev

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