The aim of this tutorial is to enable the participants to learn how to use the R package “SamplingStrata” in order to optimize the design of stratified samples. The package offers an approach for the ...

The focus of this tutorial is to introduce uncertainty propagation from the data to the inferred parameters. The tutorials are presented using the Jupyter Notebooks. Several ways to run the Jupyter ...

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Abstract: Thompson sampling is an algorithm for online decision problems where actions are taken sequentially in a manner that must balance between exploiting what is known to maximize immediate ...

In Part 1 of this series, we covered the fundamental concepts and principles incorporated by flow meters along with various flow measurement methods used in mechanical flow meters. It covered in depth ...

With increasingly efficient columns, eluite peaks are increasingly narrower. To take full advantage of this, choice of the detector response time and the data acquisition rate a.k.a. detector sampling ...

Abstract: The sampling noise is a fundamental issue that limits the energy efficiency of analog-to-digital converters (ADCs). This brief gives a tutorial on the emerging sampling noise mitigation ...