Stacking Ensemble Model for Celestial Object Classification: Galaxies, Stars and Quasars

S Sudharson, R Annamalai, AA Reddy… - … Conference on Image …, 2023 - ieeexplore.ieee.org
In the field of astronomy, it is essential to classify celestial objects like stars, galaxies, and
quasars based on their spectral characteristics. This spectral data provides valuable …

Improving Accuracy for Classification of Stars based on their Spectral Characteristics using Random Forest Algorithm over Naive Bayes

SVV Reddy, SJJ Thangaraj… - 2024 OPJU International …, 2024 - ieeexplore.ieee.org
Through the application of the Random Forest (RF) model, the objective of this research is to
determine the characteristics of stars based on their spectral characteristics. Comparing the …

Exploring XGBoost as an Effective Machine Learning Algorithm for Stellar Spectral Data Classification in Astronomy

E Yoshino, B Juarto, FI Kurniadi - 2023 International Seminar …, 2023 - ieeexplore.ieee.org
The discipline of astronomy has experienced a substantial metamorphosis due to the advent
of contemporary telescopes, which facilitate the accumulation of extensive spectral …

An Ensemble LLM Framework of Text Recognition Based on BERT and BPE Tokenization

Z Huang - 2024 5th International Seminar on Artificial …, 2024 - ieeexplore.ieee.org
Given how quickly artificial intelligence is develo**, Large Language Models (LLMs) such
as GPT and BERT have achieved significant performance in text generation and language …

Evaluation of Different Classification Methods for Classifying Stars Based on the Harvard Stellar Classification System

E Sullivan - 2023 - search.proquest.com
Calculating the habitable zone, the area in which it is possible to find planets that can
support life around a star, is critical to NASA's search for other habitable planets. There are …

Modelo Perceptron Multicamadas para Classificação de Estrelas, Quasares e Galáxias

E Veloso, G Gomes, RCB Rego - Anais do Encontro de …, 2023 - periodicos.ufersa.edu.br
Devido a grande quantidade de dados gerados nos estudos astrofísicos, o processo de
classificação dos astros necessita de algoritmos que otimizem essa função. Essa …

Performance Comparison of Supervised Machine Learning Methods in Classifying Celestial Objects

MF Er, TT Bilgin - Black Sea Journal of Engineering and Science - dergipark.org.tr
In recent times, astronomy has entered a new era with rapidly growing data sources and
advanced observation techniques. The construction of powerful telescopes has enabled the …