RANDOM FORESTS WITH BAGGING AND GENETIC ALGORITHMS COUPLED WITH LEAST TRIMMED SQUARES REGRESSION FOR SOIL MOISTURE DEFICIT USING SMOS SATELLITE SOIL MOISTURE

Random Forests with Bagging and Genetic Algorithms Coupled with Least Trimmed Squares Regression for Soil Moisture Deficit Using SMOS Satellite Soil Moisture

Soil Moisture Deficit Doll Changing Set (SMD) is a key indicator of soil water content changes and is valuable to a variety of applications, such as weather and climate, natural disasters, agricultural water management, etc.Soil Moisture and Ocean Salinity (SMOS) is a dedicated mission focused on soil moisture retrieval and can be utilized for SMD

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Assessment of the fatality rate and transmissibility taking account of undetected cases during an unprecedented COVID-19 surge in Taiwan

Abstract Background During the COVID-19 outbreak in Taiwan between May 11 and June 20, 2021, the observed fatality rate (FR) was 5.3%, higher than the global average at 2.1%.The high number of reported Hoodia deaths suggests that many patients were not treated promptly or effectively.However, many unexplained deaths were subsequently identified as

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