IEEE AP-S/URSI 2021
About
Organizing Committee
Important Dates
COVID-19 Safety
Registration
Program
Technical Program
Paper Search
Short Courses
Master Class
Women in Engineering Panel
Young Professionals Panel
Workshops
Industry Talks (Sponsors)
Distinguished Industry Speaker Talk
High-School Student Experience
Authors
Presentation Instructions
Frequently Asked Questions
Call for Papers
Submit a Paper
Mojgan Daneshmand Grant for Women
AP-S Topics
URSI Topics
IEEE JMMCT Special Section Submission
Students
Student Design Contest
AP-S Student Paper Competition
Raj Mittra Travel Grant
IEEE AP-S Symposium Student Travel Grant
C. J. Reddy Travel Grant for Graduate Students
Venue
About Singapore
Venue
Hotels
Visa
Tours
COVID-19 Updates
Sponsors and Exhibitors
Prospectus
Sponsors & Exhibitors
Technical Sponsors
AP-S/URSI 2021 Attendee Access
Technical Program
Session TH-SP.3P
Paper TH-SP.3P.7
TH-SP.3P.7
Model-Based Data Generation for Support Vector Machine Stroke Classification
Valeria Mariano, Jorge Alberto Tobon Vasquez, Mario Roberto Casu, Francesca Vipiana, Politecnico di Torino, Italy
Session:
Machine Learning for Inverse Scattering and Imaging
Track:
AP-S General Topics
Location:
Peony Junior Ballroom 4512
Presentation Time:
Thu, 9 Dec, 16:20 - 16:40 Singapore Time (UTC +8)
Thu, 9 Dec, 09:20 - 09:40 France Time (UTC +1)
Thu, 9 Dec, 08:20 - 08:40 UTC
Thu, 9 Dec, 03:20 - 03:40 New York Time (UTC -5)
Session Co-Chairs:
Abdulkadir C. Yucel, Nanyang Technological University and Marco Salucci, ELEDIA@UniTN - University of Trento
Session Manager:
Room R10 Manager
Presentation
Not logged in.
Not logged in.
Discussion
Not logged in.
Resources
Not logged in.
Session TH-SP.3P
TH-SP.3P.1: A Deep Learning Scheme for Rapidly Reconstructing 3D Permittivity Maps from GPR C-scans
Qiqi Dai, Yee Hui Lee, Hai-Han Sun, Abdulkadir C. Yucel, Nanyang Technological University, Singapore; Genevieve Ow, Mohamed Lokman, National Parks Board, Singapore
TH-SP.3P.2: A Two-Stage Deep Neural Network for Ground-Penetrating Radar Data Inversion under Heterogeneous Soil Conditions
Qiqi Dai, Yee Hui Lee, Hai-Han Sun, Abdulkadir C. Yucel, Nanyang Technological University, Singapore; Genevieve Ow, Mohamed Lokman, National Parks Board, Singapore
TH-SP.3P.3: Multi-Domain Learning Scheme for Full-Wave Nonlinear Inverse Scattering Problems
Yusong Wang, Zhun Wei, Zhejiang University, China
TH-SP.3P.4: Deep Learning Structure Influence on Reconstruction Performance in 3D Inverse Scattering Problems
Yulong Zhou, Tiantian Yin, Xudong Chen, National University of Singapore, Singapore
TH-SP.3P.5: Fast Full-wave Microwave Imaging With Physics Embedded Deep Neural Network
Rui Guo, Maokun Li, Fan Yang, Shenheng Xu, Aria Abubakar, Tsinghua University, China
TH-SP.3P.6: Learning-Assisted Fast Inversion for Solving Inverse Scattering Problems with Phaseless Data
Kuiwen Xu, Zeming Qian, Peng Zhao, Hangzhou Dianzi University, China
TH-SP.3P.7: Model-Based Data Generation for Support Vector Machine Stroke Classification
Valeria Mariano, Jorge Alberto Tobon Vasquez, Mario Roberto Casu, Francesca Vipiana, Politecnico di Torino, Italy
TH-SP.3P.8: Intelligent Meta-Imagers: From Compressed to Learned Sensing
Philipp del Hougne, CNRS, France
TH-SP.3P.9: AI-Assisted Computationally-Efficient Global Optimization for Inverse Scattering
Marco Salucci, Mohammad Abdul Hannan, Alessandro Polo, Andrea Massa, ELEDIA@UniTN - University of Trento, Italy
TH-SP.3P.10: Neural Network and Microwave Sensing for Food Contamination Monitoring
Marco Ricci, Mario Roberto Casu, Francesca Vipiana, Politecnico di Torino, Italy
Platinum Sponsor
Gold Sponsors
Bronze Sponsors
