Abstract: This article proposes an expectation maximization sample transfer identification (EM-STI) algorithm to address the parameter identification problem in dynamic systems with nonideal data.

This project is in its early stages, so if you find a version that suits your needs, it’s recommended to pin your version, as updates may introduce changes.

tkinter (included with Python) whisperx==3.3.2 torch==2.6.0+cu121 torchaudio The current setup represents a working configuration but may need adjustments based on your specific environment. If you ...

The Ghana Police Service has raised concern over the increasing unauthorised installation and use of sirens, strobe lights, and other emergency warning devices on vehicles operated by individuals and ...

Abstract: It has been demonstrated that fast convolutional sparse dictionary learning (FCSDL) is a useful instrument for diagnosing rolling bearing faults and can recover rolling bearing fault shocks ...

Many years ago, I saw a tweet go around that said something like, "You have the same amount of hours in a day as Beyoncé." On the one hand, that was annoying, because while it’s true, I don’t have the ...

We describe computationally efficient methods for Bayesian model selection. The methods select among mixtures in which each component is a directed acyclic graphical model (mixtures of DAGs or MDAGs), ...

So many productivity methods ask you to prioritize your daily tasks by considering how much time or effort they'll require, then tackling the resource-heavy ones first. For some people, that's a solid ...