MO-SS.2A.4
Machine-Learning-Based Optical Sensing of Analytes Infiltrating a Chiral Sculptured Thin Film
Patrick McAtee, Akhlesh Lakhtakia, The Pennsylvania State University, United States
Session:
Artificial Intelligence and Bio-Inspired Computational Techniques In Electromagnetics II Oral
Track:
Special Sessions
Location:
Room 213
Session Time:
Mon, 14 Jul, 08:00 - 09:40
Presentation Time:
Mon, 14 Jul, 09:00 - 09:20
Session Chair:
Akhlesh Lakhtakia, Pennsylvania State University
Presentation
Discussion
Session MO-SS.2A
MO-SS.2A.1: Assessment of Spread Spectrum Time Domain Reflectometry and Artificial Intelligence for Microwave Breast Cancer Detection
Mouad Addad, Djillali Liabes University, Algeria; Samuel Makin, Samuel Hansen, Matthew Lohens, Cynthia Furse, University of Utah, United States
MO-SS.2A.2: Utilizing the Power of AI and ML in Applied EM: From CEM, UQ, and Snow Scattering to MRI, Antenna Design, and Noninvasive Orthopaedic Monitoring
Branislav Notaroš, Christopher Erickson, Hein Thant, Stephen Kasdorf, Ross Stauder, Colorado State University, United States
MO-SS.2A.3: Physics-Informed Machine Learning for Robust Optimization of Highly Resonant Microwave and RF Devices
Yanan Liu, Jian-Ming Jin, University of Illinois at Urbana-Champaign, United States
MO-SS.2A.4: Machine-Learning-Based Optical Sensing of Analytes Infiltrating a Chiral Sculptured Thin Film
Patrick McAtee, Akhlesh Lakhtakia, The Pennsylvania State University, United States
MO-SS.2A.5: System Design Using Sensor Compression and Grey Wolf Optimizer for AI-based Security Applications
Maha EL ABED, Université Côte d'Azur, LEAT, CNRS, France; Jérôme Lanteri, Université Côte d'Azur, LEAT, France; Julien Marot, Aix-Marseille Université - Campus St Jérôme - Inst. Fresnel, France; Jean-Yves Dauvignac, Université Côte d'Azur, LEAT, France; Claire Migliaccio, Université Côte d'Azur, LEAT, CNRS, France
Resources
No resources available.