IEEE

Spectral Gradient Fidelity and Spatial Hessian Hyper-Laplacian Sparsity Constraints for Variational Pansharpening

Abstract: In this article, an effectively variational pansharpening method with spectral gradient fidelity and spatial Hessian hyper-Laplacian sparsity constraints (PSGFSHHS) was proposed to fuse the ...

Wolves around the world have evolved different skull shapes—humans are also shaping their evolution

A new international study led by researchers at the University of Oulu, Finland, shows that wolves living in different parts ...
Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

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.
IEEE

A Generalized Remaining Useful Life Prediction Method Based on Hybrid Model and Sparse Variational Bayesian

Abstract: The remaining useful life (RUL) prediction is one of the most important tasks in the prognostics and health management of industrial equipment. The statistical model-based method is widely ...
THE WEEK

How accurate are political polls?

With the 2024 presidential election just days away, new data from pollsters about the presidential election is seemingly being released every day. In the early period of the election, these polls ...