2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting

My APS/URSI 2019 Schedule

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Paper:	MO-SP.1P.10
Session:	Application of Machine/Deep Learning and Uncertainty Quantification Techniques in Computational Electromagnetics
Session Time:	Monday, July 8, 13:20 - 17:00
Presentation Time:	Monday, July 8, 16:40 - 17:00
Presentation:	Special Session Oral
Paper Title:	Uncertainty Quantification of Radio Propagation Models Using Artificial Neural Networks
Authors:	Aristeidis Seretis, Xingqi Zhang, Costas Sarris, University of Toronto, Canada