2023 APS Logo

IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting

July 23–28, 2023 • Portland, Oregon, USA

23-28 July 2023 • Portland, Oregon, USA

IEEE AP-S/URSI 2023

23-28 July 2023 • Portland, Oregon, USA

MO-A4.4P.4

Machine Learning Classification of Snowflakes to Enhance Microphysical and Scattering Characterization of Snow

Hein Thant, Colorado State University, United States; Mikhail Zhizhin, Colorado School of Mines, United States; Branislav Notaros, Colorado State University, United States
Session:
Target Detection and Identification
Track:
AP-S: Propagation & Scattering
Location:
C 124 (OCC)
Session Time:
Mon, 24 Jul, 13:20 - 15:00 PDT (UTC -7)
Presentation Time:
Mon, 24 Jul, 14:20 - 14:40 PDT (UTC -7)
Session Co-Chairs:
Branislav Notaros, Colorado State University and Cynthia Furse, University of Utah
Presentation
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Discussion
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Session MO-A4.4P
MO-A4.4P.1: Long-Range Reading of Multiple Chipless Sensors from the Isoline Processing of 3D Radar Images
Ali HADJ DJILANI, Dominique HENRY, Ahmad EL SAYED AHMAD, Patrick PONS, Hervé Aubert, LAAS-CNRS, France
MO-A4.4P.2: Identification of Hearing Impaired people in Crowded Environments using Wi-Fi signals
Hira Hameed, University Of Glasgow, United Kingdom; Lubna Lubna, Telecommunication Engineering Dept. UET Peshawar, Pakistan; Muhammmad Usman, University Of Glasgow, United Kingdom; Kamran Arshad, Faculty of Engineering, Ajman University, Ajman 346, UAE, United Arab Emirates; Amir Hussain, School of computing, Edinburgh Napier University, Scotland UK, United Kingdom; Khaled Assaleh, Faculty of Engineering, Ajman University, Ajman 346, UAE, United Arab Emirates; Muhammad Imran, Qammer H.Abbasi, James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ UK, United Kingdom
MO-A4.4P.3: Evaluation of Methods to Generate Spread Spectrum Time Domain Reflectometry
Cynthia Furse, Samuel Hansen, Evan Benoit, University of Utah, United States; Joel Harley, University of Florida, United States
MO-A4.4P.4: Machine Learning Classification of Snowflakes to Enhance Microphysical and Scattering Characterization of Snow
Hein Thant, Colorado State University, United States; Mikhail Zhizhin, Colorado School of Mines, United States; Branislav Notaros, Colorado State University, United States
Resources
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