Results 281 to 290 of about 2,699,264 (331)
Hybrid Strategy for Automatic Stellar Classification
Proceedings of the 1st International Workshop on Artificial Neural Networks and Intelligent Information Processing, 2005 openaire +1 more source
Classification of Stars using Stellar Spectra collected by the Sloan Digital Sky Survey
IEEE International Joint Conference on Neural Network, 2019 The 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).
Răzvan Andonie
exaly +3 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
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. Abdel-aziem, Tamer H. M. Soliman
semanticscholar +1 more source
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. Abdel-aziem, Tamer H. M. Soliman
semanticscholar +1 more source
Monthly notices of the Royal Astronomical Society, 2023
Stellar classification is a central topic in astronomical research that relies mostly on the use of spectra. However, with the development of large sky surveys, spectra are becoming increasingly scarce compared to photometric images.
Jing-Hang Shi +5 more
semanticscholar +1 more source
Stellar classification is a central topic in astronomical research that relies mostly on the use of spectra. However, with the development of large sky surveys, spectra are becoming increasingly scarce compared to photometric images.
Jing-Hang Shi +5 more
semanticscholar +1 more source
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
semanticscholar +1 more source
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
semanticscholar +1 more source
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
semanticscholar +1 more source
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
semanticscholar +1 more source
Stellar Classification (Classification Stellaire)
1997O. H. Levato +10 more
openaire +2 more sources
Stellar Classification of Stars using Classification Techniques
2025 Third International Conference on Emerging Applications of Material Science and Technology (ICEAMST)S V Tresa Sangeetha
exaly +2 more sources