The filter material to analyze particulate matter with Raman or FTIR microspectroscopy plays a vital role. Their simple task is to filter liquids to isolate solids onto filters – but as soon as you ...

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 ...

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 ...

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