IEEE AP-S/URSI 2022 || Denver, Colorado, USA || 10-15 July 2022

TU-A1.1P.5

Antenna Array Optimization via Deep Learning For Breast Cancer Microwave Hyperthermia Application: Preliminary Results

Gulsah Altintas, Istanbul Technical University, Turkey; Halimcan Yasar, Ibrahim Enes Uslu, Yusuf Demirel, Sulayman Joof, Mehmet Nuri Akıncı, Tuba Yilmaz, İstanbul Technical University, Turkey; Ibrahim Akduman, Mitos Medical Technologies, Turkey

Session:

Design and Optimization of Antennas using Machine Learning II

Track:

AP-S: Antennas

Location:

Granite A/B/C (HR)

Presentation Time:

Tue, 12 Jul, 14:40 - 15:00 Denver Time (UTC -7)

Session Co-Chairs:

Zhi Ning Chen, National University of Singapore and Peiqin Liu, National University of Singapore

Session TU-A1.1P

TU-A1.1P.1: WiFi coverage planning and router position optimization using machine learning

Smit Baua, Saranraj Karuppuswami, Altair Engineering, Inc., United States

TU-A1.1P.2: Channel Selection of Hybrid Communication Systems using Machine Learning

Julie Smith, Christos Christodoulou, University of New Mexico, United States

TU-A1.1P.3: On the Implementation of Fourier Neural Operator in Solving Electromagentics Problems

Botian Zhang, Yahya Rahmat-Samii, University of California, Los Angeles, United States

TU-A1.1P.4: Estimation Technique of RCS using LSTM

Geumbi Park, Vasantha Kumar Chandrasegar, Gyutae Park, Jinhwan Koh, Gyeongsang National University, Korea (South)

TU-A1.1P.5: Antenna Array Optimization via Deep Learning For Breast Cancer Microwave Hyperthermia Application: Preliminary Results

Resources

No resources available.