Optimized Detection of Continuous Gravitational-Wave Signals using Convolutional Neural Network-Reference-Cited by-同舟云学术

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Optimized Detection of Continuous Gravitational-Wave Signals using Convolutional Neural Network

Published:2023-03-18 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International conference on Artificial Intelligence and Signal Processing (AISP)
language:
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Author:

Duraisamy Premkumar¹,Natarajan Yuvaraj²,Niranjani V.³,Parvathy K⁴

Affiliation:

1. KPR Institute of Engineering and Technology,Department of Artificial Intelligence and Data Science,Coimbatore,India

2. KPR Institute of Engineering and Technology,Department of Computer Science and Engineering,Coimbatore,India

3. Sri Eshwar College of Engineering,Department of Computer Science and Engineering,Coimbatore,India

4. Dr NGP Institute of Technology,Department of Computer Science and Engineering,Coimbatore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10134757/10134565/10134809.pdf?arnumber=10134809

Reference22 articles.

1. Wavelet-Based Classification of Transient Signals for Gravitational Wave Detectors

2. Deep Learning for Clustering of continuous gravitational wave candidates;beheshtipour;Physical Review,2020

3. Machine learning for Gravity Spy: Glitch classification and dataset

4. Machine Learning and Deep Learning Techniques for Cybersecurity: A Review

5. Real-time detection of gravitational waves from binary neutron stars using artificial neural networks

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