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International Journal of Advances in Applied Computational Intelligence, 2023
The remarkable capacity of artificial intelligence (AI) to analyze enormous quantities of information and create precise forecasts has led to its growing prominence in the field of scientific Astrophysics.
A. H. Abdel-aziem, Tamer H. M. Soliman
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The remarkable capacity of artificial intelligence (AI) to analyze enormous quantities of information and create precise forecasts has led to its growing prominence in the field of scientific Astrophysics.
A. H. Abdel-aziem, Tamer H. M. Soliman
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Quantum-Enhanced Support Vector Machine for Large-Scale Stellar Classification with GPU Acceleration
arXiv.org, 2023In this study, we introduce an innovative Quantum-enhanced Support Vector Machine (QSVM) approach for stellar classification, leveraging the power of quantum computing and GPU acceleration.
Kuan-Cheng Chen +4 more
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Stellar Classification vis-à-vis Convolutional Neural Network
2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE), 2023As a result of recent advancements in technology, a variety of new computational fields have emerged. Some examples of these fields are machine learning and intelligence, information science, the internet of things, and others.
Anurag Dutta +5 more
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Experimental Analysis of Stellar Classification by using Different Machine Learning Algorithms
2022 International Conference on Industry 4.0 Technology (I4Tech), 2022In advanced Astrophysics, Machine Learning has progressively attained popularity with its astounding powerful potential to analyze large amounts of data and make accurate predictions. The categorization of stars is based on their spectral features, known
Tanvi Mehta, Nishi Bhuta, S. Shinde
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Stellar Objects Classification Using Supervised Machine Learning Techniques
Automation, Control, and Information Technology, 2022Machine Learning is used in many fields of study. This paper used machine learning to classify instances from the Sloan Digital Sky Survey Data Release 17 (SDSS DR17) as a galaxy, quasar, or star.
Deen Omat, Jood Otey, Amjed Al-mousa
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Stellar Classification (Classification Stellaire)
1997O. H. Levato +10 more
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Ensemble Learning for Stellar Classification and Radius Estimation from Multimodal Data
Research in Astronomy and AstrophysicsStellar classification and radius estimation are crucial for understanding the structure of the Universe and stellar evolution. With the advent of the era of astronomical big data, multimodal data are available and theoretically effective for stellar ...
Zhijie Deng +4 more
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2024 OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 4.0
The abstract of this research paper encapsulates the essence of a comprehensive investigation into stellar classification using linear regression. The study explores the predictive power of various features, including Absolute Temperature, Relative ...
Muskan Agarwal +4 more
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The abstract of this research paper encapsulates the essence of a comprehensive investigation into stellar classification using linear regression. The study explores the predictive power of various features, including Absolute Temperature, Relative ...
Muskan Agarwal +4 more
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Classification of Stars using Stellar Spectra collected by the Sloan Digital Sky Survey
IEEE International Joint Conference on Neural Network, 2019The classification of stellar spectra is a fundamental task in stellar astrophysics. There have been many explorations into the automated classification of stellar spectra but few that involve the Sloan Digital Sky Survey (SDSS).
Michael J. Brice, Razvan Andonie
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UV Stellar Spectral Classification
1987Stellar observers in the ultraviolet tend to use the MK classification system as a spectral reference also in this spectral range, implying that it characterizes the whole spectrum, even if it is defined only from the visible range. However, an analysis of about two thousand spectra collected by the S2/68 experiment on board the TD1 satellite showed ...
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