In today’s fast-paced, ever-evolving world, the complexity of challenges faced in both business and everyday life requires a shift in how we approach problem solving. Traditional linear thinking, ...

When Donald Trump stormed into the White House in 2016, horrified Americans debated, almost endlessly, whether the shocking result was an expression of widespread racism (backlash to a Black president ...

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...

a Sharpe, EVaR-Sharpe, and LVaR-Sharpe represent the traditional Sharpe ratio, Sharpe ratio modified based on expectile, and Lp quantile, respectively. [12] Yao, H. (2011) Linear Heteroscedastic ...

Abstract: The accurate forecasting of nonlinear regression problems is essential in numerous real-world applications, and enhancing the precision of predictions in such problems is significantly ...

Department of Chemical Engineering, University of Louisiana, Lafayette, Louisiana 70504, United States Energy Institute of Louisiana, University of Louisiana ...

Expansive soils, known for their significant volume change with variations in moisture content, are widely distributed around the globe. Due to their swelling properties, expansive soils pose ...

During the installation of a cable oil terminal, it is easy to leave scratches on the main insulation owing to uneven forces when removing the semi-conductive layer. Scratch defects cause field ...

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