TUP2.PI.2
ENHANCED ON-BOARD CUBESAT IMAGE CLASSIFICATION USING QUANTUM CONVOLUTION-BASED DATASET AUGMENTATION
Dylan Josh Lopez, De La Salle University, Philippines; Mark Angelo Purio, Dexter James Cuaresma, Adamson University, Philippines
Session:
TUP2.PI: Quantum Technology and Algorithms for Earth Observation Poster
Track:
Special Themes
Location:
TBD
Presentation Time:
Tue, 11 Aug, 15:00 - 16:15
Session Co-Chairs:
Thilanka Munasinghe, Rensselaer Polytechnic Institute and Francesco Mauro, University of Sannio
Presentation
Discussion
Resources
No resources available.
Session TUP2.PI
TUP2.PI.1: Performance Evaluation of a One-Dimensional Quantum Convolutional Neural Network for Remote Sensing
Riyaaz Shaik, University of California Los Angeles, United States; Aiswarya Unni, National Institute for Astrophysics, Italy; JagadeeswaraRao Maddu, University of Basilicata, Italy; Ryan Alimo, OPAL AI INC, United States; Valerio Tramutoli, Mariano Lisi, University of Basilicata, Italy; Ertugrul Taciroglu, University of California Los Angeles, United States
TUP2.PI.2: ENHANCED ON-BOARD CUBESAT IMAGE CLASSIFICATION USING QUANTUM CONVOLUTION-BASED DATASET AUGMENTATION
Dylan Josh Lopez, De La Salle University, Philippines; Mark Angelo Purio, Dexter James Cuaresma, Adamson University, Philippines
TUP2.PI.3: RYDBERG AIRBORNE INSTRUMENT DEMONSTRATION
Darmindra Arumugam, Devin Willey, Jack Bush, Brook feyissa, Peter Mao, Jet Propulsion Laboratory, United States
Contacts