Robotics & Machine Learning Daily News2024,Issue(Oct.23) :23-23.

Researchers from Al-Farabi Kazakh National University Publish Research in Machine Learning (Classification of Gravitational Waves from Black Hole-Neutron Star Mergers with Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Oct.23) :23-23.

Researchers from Al-Farabi Kazakh National University Publish Research in Machine Learning (Classification of Gravitational Waves from Black Hole-Neutron Star Mergers with Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on artificial intelligence have been published. According to news originating from Al-Farabi Kazakh Nationa l University by NewsRx editors, the research stated, “This study developed a mac hine learning-based methodology to classify gravitational wave (GW) signals from black holeneutron star (BH-NS) mergers by combining convolutional neural networ k (CNN) with conditional information for feature extraction.”

Key words

Al-Farabi Kazakh National University/Cyborgs/Emerging Technologies/Gravitational Waves/Machine Learning/Physics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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