Abstract: Due to the increasing demand for monitoring sea ice thickness (SIT) in the global environment, the SIT inversion based on global navigation satellite system-reflectometry (GNSS-R) has ...
1 New Smart City High-Quality Power Supply Joint Laboratory of China Southern Power Grid, Shenzhen Power Supply Co., Ltd., Shenzhen, Guangdong, China 2 College of Electrical and Information ...
Please cite the following paper if you are using this code. Reference: A. Quadir, M. Sajid and M. Tanveer, "Granular Ball Twin Support Vector Machine," in IEEE Transactions on Neural Networks and ...
This project demonstrates the implementation of Support Vector Regression (SVR) in R. SVR is a powerful machine learning technique used for regression tasks. It's particularly useful when dealing with ...
ABSTRACT: In machines learning problems, Support Vector Machine is a method of classification. For non-linearly separable data, kernel functions are a basic ingredient in the SVM technic. In this ...
Abstract: This study compares Support Vector Regression (SVR) and Long Short-Term Memory (LSTM) for forecasting the meteorological data in Nusa Tenggara, on some variables i.e., temperature, rainfall, ...
Budgeting planning plays an important role in coordinating activities in organizations. An accurate sales volume forecasting is the key to the entire budgeting process. All of the other parts of the ...
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