An intelligent transportation system is one of the fundamental goals of the smart city concept.
The Internet of Things (IoT) concept is a basic instrument to digitalize and automatize the …

In the complex electromagnetic environment, satellite communication links will suffer kinds
of interference and jamming, including deception jamming, suppression jamming, and …

A possible application of neural networks for timely and reliable recognition of radar signal
emitters is investigated. In particular, a large data set of intercepted generic radar signal …

In this paper we investigate further and extend our previous work on radar signal
identification and classification based on a data set which comprises continuous, discrete …

With the rising popularity of artificial intelligence (AI), also target surveillance based on radar
sensors aims to tap the potential of AI enabled through today's computational capacities …

Distributed Partially Observable Markov Decision Problems (POMDPs) are emerging as a
popular approach for modeling multiagent teamwork where a group of agents work together …

The accurate forecasting of the hourly month-ahead electricity consumption represents a
very important aspect for non-household electricity consumers and system operators, and at …

Pedestrian occurrences in images and videos must be accurately recognized in a number of
applications that may improve the quality of human life. Radar can be used to identify …

This study presents a reliable classification of walking pedestrians and animals using a
radar operating in the millimeter waves (mmW) regime. In addition to the defined targets …

This work investigates radar signal classification and source identification using three
classification models: Neural Networks (NN), Support Vector Machines (SVM) and Random …