FR-A3.1A: AI Methods in Propagation and Imaging
Fri, 17 Jul, 08:00 - 09:40
Location: Room 353
Session Type: Oral
Track: AP-S: Track 3: Propagation and Scattering
Fri, 17 Jul, 08:00 - 08:20

FR-A3.1A.1: A Physics-Informed Diffusion Model for Generating Focusing Electromagnetic Wave Morphology in Disordered Scattering Scenarios
Jinyan Ma, Da Li, Jiahui Wang, Ruifeng Li, Chongwen Huang, Erping Li, Zhejiang University, China
Fri, 17 Jul, 08:20 - 08:40

FR-A3.1A.2: Numerical Study of an AI-Augmented MIMO GPR System for Non-Destructive Measurement of Underground Potato Tuber Characteristics
Taorui Chen, Yi Wang, Hai-Han Sun, University of Wisconsin - Madison, United States
Fri, 17 Jul, 08:40 - 09:00

FR-A3.1A.3: Adjustment of Cluster-Then-Predict Framework for Multiport Scatterer Load Prediction
Hanjun Park, Pohang University of Science and Technology (POSTECH), Korea (South); Aleksandr Kuznetsov, Ville Viikari, Aalto University, Finland
Fri, 17 Jul, 09:00 - 09:20

FR-A3.1A.4: CNN-Based Hotspot Detection in Small-Scale Composting from Multistatic Microwave Time-Domain Responses
Alex Ramiro Masaquiza-Caiza, politecnico di torino, Italy; Alejandro Rangel-Retavisca, Universidad Nacional de Colombia, Colombia; David Orlando Rodriguez-Duarte, politecnico di torino, Italy
Fri, 17 Jul, 09:20 - 09:40

FR-A3.1A.5: Deep Learning Surrogate Modeling of Body-Area Networks via Equivalent Electromagnetic Sources
Shalitha Pathiranage, Xiaoyuan Sun, Yang Hao, Queen Mary University of London, United Kingdom; Jiang Zhu, Javier De Luis, Peter Renner, Djordje Tujkovic, Meta Platforms, Inc., United States