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 (SMD) is a Cake Toppers 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 estim

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A Framework for Secure and Survivable Wireless Sensor Networks

Wireless sensor networks increasingly become viable solutions tomany challenging problems and will successively be deployed in many areas inthe future.A wireless sensor network (WSN) is vulnerable to security attacksdue to the insecure communication channels, limited computational andcommunication capabilities and unattended nature of sensor node d

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A Generalized Model of Complex Allometry I: Formal Setup, Identification Procedures and Applications to Non-Destructive Estimation of Plant Biomass Units

(1) Background: We previously demonstrated that customary regression protocols for curvature in geometrical space all derive from a generalized model of complex allometry combining scaling parameters expressing as continuous functions of covariate.Results highlighted the relevance of addressing suitable complexity in enhancing the accuracy of allom

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