This is a preview. Log in through your library . Abstract Sequential Monte Cario (SMC) methods, also known as particle filters, are simulation-based recursive algorithms for the approximation of the a ...

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 ...

As demand for wall-flow Diesel Particulate Filters (DPF) increases, accurate predictions of DPF behavior, and in particular their pressure drop, under a wide range of operating conditions bears ...

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

Researchers have used a calcium ion to simulate a relativistic quantum particle, demonstrating a phenomenon that has not been directly observable so far: the Zitterbewegung. Researchers of the ...

Understanding the relationship between plasticity of muddy soil and earth pressure can be crucial to maintaining tunnel stability and predicting ground behavior during earth pressure balance (EPB) ...