Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...
This project implements a quadratic nonlinear regression model to estimate the real-world distance between a hand and a camera based on the relative positions of hand landmarks in 2D images. The ...
More advanced AI chatbots are more likely to oversimplify complex scientific findings based on the way they interpret the data they are trained on, a new study suggests. When you purchase through ...
Introduction: Chinese fir (Cunninghamia lanceolata) is a crucial afforestation and timber species in southern China. Accurate estimation of its stand biomass is vital for forest resource assessment, ...
Given appropriate models for vacuum tubes, circuit simulators such as SPICE make analysis based on such nonlinear models a tractable effort. The Langmuir, Leach, and Koren models are discussed for the ...
eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
Abstract: The nonlinear flux observer is an effective position sensorless method that has been proven in practice. For the interior permanent magnet synchronous motor (IPMSM), this article establishes ...
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 ...
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