Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Using charge-transport measurements with variable temperature (T) and assuming a 2D thermionic emission model, the effective barrier heights (Φb) in different states are extracted from the slope of ln ...

In this work, a comprehensive methodology for the fitting of single-walled carbon nanotube absorption spectra is presented. Different approaches to background subtraction, choice of line profile, and ...