Before too long, we will be relieved of the burden of long-distance driving. Given the desired destination and access to a mapping system, electronic control and navigation algorithms will select the ...

This article presents an aircraft jet engine sensor fault diagnostics and prediction implementation using a bank of Kalman filters and a Fast Fourier Transform Predictive analytics and fault ...

The problem of nonlinear filtering is studied asymptotically as the noise tends to zero. Detectability conditions ensuring that the filtering error tends to zero are ...

If you’re looking to improve the stability of your self balancing robot you might use a simple horrifying equation like this one. It’s part of the journey [Lauszus] took when developing a sensor ...

In a recent paper published in Towards Data Science (Using Kalman Filter to Predict Corona Virus Spread), Ran Kremer, a Master’s student in electrical engineering at Bar-Ilan University’s Kofkin ...

This paper presents a spatiotemporal dynamic model which allows Bayesian inference of precipitation states in some Venezuelan meteorological stations. One of the limitations that are reported in ...