WE-A6.2A.3

On a Machine Learning Enhanced Solution of the Inverse Source Problem

Paolo Ricci, Politecnico di Torino, Italy; Adrien Merlini, IMT Atlantique, France; Francesco P. Andriulli, Politecnico di Torino, Italy
Session:
Machine-Learning as Applied to EM - Trends, Advances, and Applications IV Oral
Track:
AP-S: Antenna Applications and Emerging Technologies
Location:
Spadolini: 1-07
Session Time:
Wed, 17 Jul, 08:40 - 10:20
Presentation Time:
Wed, 17 Jul, 09:20 - 09:40
Session Co-Chairs:
Chung Hyun Lee, Hyundai Mobis Company and Adrien Merlini, IMT Atlantique
Presentation
Discussion
Session WE-A6.2A
WE-A6.2A.1: A Fast Approach for Computation of Radar Cross Section using Volumetric Convolutional Neural Network Classifier
Chung Hyun Lee, Hyundai Mobis Company, Korea (South); Dong-Yeop Na, Pohang University of Science and Technology (POSTECH), Korea (South)
WE-A6.2A.2: Advanced Neural Network Based Propagation Models for 3-D Indoor Geometries
Charley Xu, Aristeidis Seretis, University of Toronto, Canada; Vladan Jevremovic, Ali Jemmali, iBwave, Canada; Costas Sarris, University of Toronto, Canada
WE-A6.2A.3: On a Machine Learning Enhanced Solution of the Inverse Source Problem
Paolo Ricci, Politecnico di Torino, Italy; Adrien Merlini, IMT Atlantique, France; Francesco P. Andriulli, Politecnico di Torino, Italy
Resources
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