Classification of Potentially Hazardous Asteroids Using Supervised ...
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Jul 20, 2023 · The proposed work aims to leverage the quantum properties of the data to improve the accuracy and precision of asteroid classification. Our ...
Dec 9, 2024 · We propose a Quantum Machine Learning (QML)-based framework for asteroid hazard prediction, employing Variational Quantum Circuits (VQC) and PegasosQSVC ...
Jul 26, 2023 · Two quantum algorithms, the VQC algorithm and the PQSVC algorithm, are used to classify and predict the potential hazard of asteroids and ...
Classification of Potentially Hazardous Asteroids Using ... - Inspire HEP
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The proposed work aims to leverage the quantum properties of the data to improve the accuracy and precision of asteroid classification. Our study focuses on the ...
May 17, 2024 · This paper provides an in-depth examination of various machine learning (ML) and QML techniques for precisely identifying potentially hazardous ...
Sep 29, 2023 · Classification of Potentially Hazardous Asteroids Using Supervised Quantum Machine Learning ... Published in: IEEE Access 11 (2023) 75829 ...
Dec 7, 2024 · This chapter seeks to classify NEOs that are potentially hazardous to earth, and identify which features are impactful and provide significant ...
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The framework aims to leverage the quantum properties of the data to improve the accuracy and precision of asteroid classification. Our study focuses on the ...
A machine learning application was developed to detect Potentially Hazardous Asteroid and mitigate asteroid collision risk with the Earth by applying three ...
Sep 3, 2024 · The aim of this project is to use machine learning and deep learning to accurately classify hazardous asteroids.
Missing: Potentially Supervised Quantum