A Hybrid MLP-Quantum Approach in Graph Convolutional Neural Networks for Oceanic Niño Index (ONI) Prediction
Author:
Affiliation:
1. University of Sannio,Engineering Department,Benevento,Italy
2. ϕ-lab, European Space Agency,Frascati,Italy
3. University of Pavia,Engineering Department,Pavia,Italy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10640349/10640352/10642805.pdf?arnumber=10642805
Reference21 articles.
1. Enhancing Earth Observation with Hybrid Quantum Neural Networks;Ullo;AGU23,2024
2. Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensing
3. On Circuit-Based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification
4. On Quantum Hyperparameters Selection in Hybrid Classifiers for Earth Observation Data
5. El Nino and La Nina: Causes and Global Consequences;McPhaden;Nature Reviews: Geoscience,2012
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