Solution of Buried Cylinder Problem using SVR Approach - Negm, Ayman;Eshrah, Islam;Badr, Ragia
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Sometimes we do not have access to things we are interested in, however, there is a still a way to get information about these things. In this work it is shown how to extract useful information about a buried object only using Electromagnetic field scattered from it. Sounds familiar, eh? Yes just like the ground penetrating radar. The new thing is that a Machine Learning technique called "Support Vector Regression" is used to get the information in real time. You can imagine how this can be useful in wide range of applications that require fast decisions. The work is very interesting for those…mehr

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Produktbeschreibung
Sometimes we do not have access to things we are interested in, however, there is a still a way to get information about these things. In this work it is shown how to extract useful information about a buried object only using Electromagnetic field scattered from it. Sounds familiar, eh? Yes just like the ground penetrating radar. The new thing is that a Machine Learning technique called "Support Vector Regression" is used to get the information in real time. You can imagine how this can be useful in wide range of applications that require fast decisions. The work is very interesting for those who have passion in Electromagnetics and like to see how Machine Learning can be applied to solve interesting Electromagnetic problems. Enjoy reading!
Autorenporträt
Ayman received his B.Sc. and M.Sc. degrees in Electrical Engineering,from Cairo University, Egypt, in 2010 and 2016 respectively.Ayman is currently a PhD student at McMaster University, Canada. His research interests include computational electromagnetics, signal processing, stochastic optimization, and machine learning.