Researching the detection of continuous gravitational waves based on signal processing and ensemble learning

The detection of Gravitational Waves has introduced a new era for physics, astronomy, and astrophysics, unveiling new universe mysteries. Unfortunately, research studies focused on detection of Binary bursting Gravitorial Waves (B-GWs), which are produced by the rotation of binary compact objects su...

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Bibliographic Details
Published in:	Neural computing & applications Vol. 37; no. 17; pp. 10723 - 10736
Main Authors:	Pintelas, Emmanuel, Livieris, Ioannis E., Pintelas, Panagiotis
Format:	Journal Article
Language:	English
Published:	London Springer London 01.06.2025 Springer Nature B.V
Subjects:	Artificial Intelligence Artificial neural networks Astronomy Black holes Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data augmentation Data Mining and Knowledge Discovery Effectiveness Ensemble learning Gravitational waves Image Processing and Computer Vision Machine learning Probability and Statistics in Computer Science S.I.: Timely Advances of Deep Learning with applications and Data Driven Modeling Signal processing Special Issue on Timely Advances of Deep Learning with applications and Data Driven Modeling Universe Signal processing Ensemble learning Continuous gravitational waves detection CNN models
ISSN:	0941-0643, 1433-3058
Online Access:	Get full text
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