FR-A3.3A.1: Non-invasive Aqueous Glucose Monitoring using Microwave Sensor with Machine Learning
Saeed Bamatraf, Omar Ramahi, University of Waterloo, Canada; Maged Aldhaeebi, Hadhramout University, Yemen
FR-A3.3A.2: Generative Adversarial Network-Based Design of Dielectric Resonator Antenna for mmWave 5G Applications
Mingdian Liu, Meng Lu, Jiming Song, Iowa State University, United States; Hui Zhang, Communication University of China, China
FR-A3.3A.3: Low Cost Spatial Processing for 5G Interference Mitigation and Capacity Improvement
Tsotne Kvelashvili, Toan Vo Dai, Aly Fathy, Ozlem Kilic, University of Tennessee, Knoxville, United States; Robab Kazemi, University of Tabriz, Iran
FR-A3.3A.7: Effective Numerical Modeling of Packaged mm-Wave Automotive Radars
Lucas Newton, Maruf Hossain, Niru Nahar, Kubilay Sertel, Ohio State University & ElectroScience Laboratory, United States; Alebal Arage, Prabin Shrestha, General Motors, United States
FR-A3.3A.8: Counterfeit Chip Detection via Electromagnetic Emissions From Host Circuit Boards
Jiaqing Lu, Yagmur Ozturk, Cem Kesici, Kubilay Sertel, Shane Smith, Jin-Fa Lee, The Ohio State University, United States
FR-A3.3A.9: Machine Learning Based Design of Ku Band Ridge Gap Waveguide Slot Antenna Loaded with FSS for Satellite Internet Applications
Mohammed Farouk Nakmouche, Diaa E.Fawzy, Izmir University of Economics, Turkey; Mohammed Cherif Derbal, Mourad Nedil, Université du Québec en Abitibi-Témiscamingue, Canada; A.M.M.A Allam, German University in Cairo, Egypt; Shoukry I Shams, Concordia University, Canada; Mahmoud Elsaadany, Ghyslain Gagnon, Ecole de Technologie Supérieur, Canada