A novel particle filter based on a neural network for the analysis of volatile time series data. This paper proposed a novel particle filter to fit structural time series models to volatile time ...

Researchers have developed a method to assess the efficacy of anti-particle filters and masks. This method will help to decide the most suitable system depending on the professional activity. Thanks ...

As the final course in the Applied Kalman Filtering specialization, you will learn how to develop the particle filter for solving strongly nonlinear state-estimation problems. You will learn about the ...

In reliability engineering, few indicators are as consistently revealing as the particles that infiltrate a lubrication ...

Particulate modelling has the potential to transform productivity within the pharmaceutical manufacturing industry, speeding up production cycles, reducing manufacturing costs, improving efficiency, ...