AI systems now operate on a very large scale. Modern deep learning models contain billions of parameters and are trained on ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...

Already registered? Click here to login now. Linear electromagnetic devices — such as linear motors, generators, actuators, and magnetic gears — play a vital role in precision motion control, energy ...

Introduction: This study systematically investigated the relationship between body mass index (BMI) and lung function, incorporating Z-scores, thereby offering a novel approach to lung function ...

Abstract: This paper proposes a modeling approach for linear quantum networks composed of cavity systems using frequency transfer functions derived from input-output theory. Our approach enables the ...

Abstract: Longitudinal data is essentially different from independent data due to its special structure. Many excellent research results have been produced based on partial linear models and variable ...

ABSTRACT: There is a set of points in the plane whose elements correspond to the observations that are used to generate a simple least-squares regression line. Each value of the independent variable ...

ABSTRACT: The VMamba (Visual State Space Model) is built upon the Mamba model by stacking Visual State Space (VSS) modules and utilizing the 2D Selective Scan (SS2D) module to extend the original ...