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In recent years, data-driven approaches have been developed to predict Alzheimer's Disease. The goal of our report is to identify the factors that are most associated with memory loss. Data from ADNI (Alzheimer's Disease Neuro-imaging Initiative) with 8 variables from socioeconomic factors and biomarkers are analyzed, and will be used to propose a predictive model for the onset of AD. On the mathematical...
Significant temporal correlation of multi-temporal remote sensed images presents an opportunity to use historical images for predicting the recent image. This paper investigates the possibilities of predicting the current image from a reference previous image using linear regression after change detection. Single linear regression model for temporal prediction is usually used for the images that are...
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