Antennas and Propagation Research From Large-Scale Unstructured Data With Machine Learning: A review and predictions (2023)
Attributed to:
Adaptive Tools for Electromagnetics and Materials Modelling to Bridge the Gap between Design and Manufacturing (AOTOMAT)
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1109/map.2023.3290385
Publication URI: http://dx.doi.org/10.1109/map.2023.3290385
Type: Journal Article/Review
Parent Publication: IEEE Antennas and Propagation Magazine
Issue: 5