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Tutorial: Support Vector Machines for Automatic RADAR Recognition - A Theoretical Foundation

In the present tutorial, we shall explain what are the Support Vector Machines (SVMs) and how the kernel-based SVM classifiers are working.

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Tutorial: Unterstanding Machine Learning and Deep Learning

In what follows we will present examples of Deep Learning networks and detail their various designs. It is a detailed tutorial, written for students and engineers who want to acquire a profound understanding of the subject.

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The Powers and Limits of Bayesian Classifiers (Tutorial)

In this tutorial, we will have a detailed look at one of the most powerful classes of machine learning and Artificial Intelligence algorithms that exists: the Bayesian Classifiers.

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The NextGen 8 GHz Pulse AI - It Is Time for a Revolution

SkyRadar's NextGen Pulse Radar operates in the x-band, just like en-route radars in ATC, as well as military and marine radars. It includes all the important features needed by ATCOs and ATSEPs and reaches up to Artificial Intelligence. Its modular structure allows to customize it on university requirements as well.

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Artificial Intelligence: Hidden Markov Model Classifiers and RADAR Objects Classification by Machine Learning 2/2

In the first part of this series, we introduced the general concepts needed for understanding the Hidden Markov Models Classifiers. Namely: Bayesian Logic, The concept of Bayesian Classifiers and Bayesian networks. All these notions are now grouped to form a new type of classifier which can accurately model and classify time-series data such as the RADAR data.

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Artificial Intelligence: Hidden Markov Model Classifiers and RADAR Objects Classification by Machine Learning 1/2

In this article we will explore a very special class of classifiers, the Hidden Markov Model Classifiers (HMMs). They are mainly a statistical and probabilistic model but they have found their entry in the world of Machine Learning since they can be trained and classify data.

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Flight 752: Why ADS-B and A.I. Should Be Applied Together

The recent crash of Ukrainian Airlines Flight 752, downed by a surface-to-air (SAM) Iranian missile after a tragic human error from a military RADAR operator underlines dramatically the need for ADS-B, combined with automatic computer-based recognition of RADAR targets.

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Artificial Intelligence - Anatomy of the LeNet-1 Convolutional Network and How It Can Be Used in Order to Classify RADAR Data

In this article we shall perform the anatomy of a simple but efficient convolutional network (CNN), the LeNet-1 neural network.

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Artificial Intelligence - Understanding the Main Operations in Convolution Neural Networks for RADAR Data Classification

RADAR data classification mainly relies on convolutional neural networks. In this article, we shall detail and explain the main operations performed by Convolution networks in order to classify RADAR data.

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