The ID3 - or ID3 (Iterative Dichotomiser 3) - is a supervised classifier based on decision tree learning methodology. The ID3 classifier generates a decision tree from a set of data (the training data) which can be used to classify new data.

The radar image is not the result of one single signal conversion function. It is rather the consequence of a sequence of transformations. SkyRadar's training radar allows students to play on most of the stages concurrently - and independently!

In the beginning of the 2000s, the SAP's research director told me IoT will be the next big thing. Now it's here. So let's make money with it - but beware the wrong evangelists. But where is our role?

Moving Target Indication (MTI) and Moving Target Detection (MTD) are important for removing clutter from the radar image. But how do they work and what is the difference. And how to apply them in FreeScopes?

After the Internet of Pages and the Internet of Services, now the Internet of Things is emerging. This article looks at the central role that radar is expected to find in many IoT applications.

This article will give an overview of the basic and fundamental notions of ML. It is part of a series developed for practitioners. The goal is to be rapidly able to apply and make use of ML.

This article describes how plots, tracks and labels are displayed in PPIs for airtraffic control in compliance with ICAO Doc 4444. All features are part of SkyRadar's FreeScopes ATC module.

This article explains how SkyRadar's NextGen 8 GHz Pulse radar can be used for ATSEP and ATCO training.