IEEE AP-S/URSI 2022
COVID-19 Updates
General
Home
Steering and Organizing Committee
Important Dates
Photos from the Conference
Registration
Program
Technical Program
Plenary Talks
Short Courses
Special Sessions
Women in Engineering
Social Program
Companion Program
Amateur Radio Activities
Master Class
Technology Demonstrations
For Authors
Call for Papers
Submit a Paper
Upload Virtual Presentation
AP-S Topics
URSI Topics
Raj Mittra Travel Grant
Mojgan Daneshmand Grant
TICRA Travel Grants
For Students
Student Paper Competition
Student Design Contest
Student Travel Grant
C. J. Reddy Travel Grant for Graduate Students
Region 9 Student Travel Grants
Master Class
Venue/Travel
Visa Requirements
Venue
Hotels
Things to See and Do
Travel
Event Locations
Sponsorship & Exhibition
Current Sponsors & Exhibitors
Sponsorships
Exhibits
10-15 July 2022 • Denver, Colorado, USA
IEEE AP-S/URSI 2022
10-15 July 2022 • Denver, Colorado, USA
Technical Program
Session TU-UA.1P
Paper TU-UA.1P.3
TU-UA.1P.3
A New Image Based Regression CNN for Predicting V-band Power Attenuation
Ralph Gesner, Christos Christodoulou, University of New Mexico, United States; Steven Lane, Air Force Research Laboratory, United States
Session:
Electromagnetic Compatibility and Metrology
Track:
A: Antennas
Location:
Mineral Hall F (HR)
Presentation Time:
Tue, 12 Jul, 16:00 - 16:20 Denver Time (UTC -7)
Session Co-Chairs:
Sofia Mvokany, University of Colorado - Boulder and Andrew Kacmarcik, Georgia Institute of Technology
Presentation
Discussion
Session TU-UA.1P
TU-UA.1P.1: Multi-Layer Polymer DC-50 GHz Interconnects on a Silicon Interposer
Sofia Mvokany, University of Colorado - Boulder, United States; Jack Molles, Zoya Popovic, University of Colorado Boulder, United States
TU-UA.1P.2: Chern Numbers in Magnetized Plasma System Characterized by a Nonlocal Hydrodynamic Model
Samaneh Pakniyat, George W Hanson, University of Wisconsin Milwaukee, United States; S. Ali Hassani Gangaraj, University of Wisconsin-Madison, United States
TU-UA.1P.3: A New Image Based Regression CNN for Predicting V-band Power Attenuation
Ralph Gesner, Christos Christodoulou, University of New Mexico, United States; Steven Lane, Air Force Research Laboratory, United States
TU-UA.1P.4: Near-Field Conical-Helical Probe for Receiving Sensitive EM Backscattering Side-Channel Signals
Andrew Kacmarcik, Prateek Juyal, Alenka Zanic, Georgia Institute of Technology, United States
TU-UA.1P.5: New Coupling Analysis of Transmission Lines by Port Solver Method
Mohammad G. H. Alijani, Ferdowsi University Mashhad, Iran; Shahin Sheikh, Ahmed Kishk, Concordia University, Canada
Resources
No resources available.
