首页|Findings from National Research Institute of Astronomy & Geophysic s Broaden Understanding of Machine Learning (Seismic Discrimination Between Nucl ear Explosions and Natural Earthquakes Using Multi-machine Learning Techniques)
Findings from National Research Institute of Astronomy & Geophysic s Broaden Understanding of Machine Learning (Seismic Discrimination Between Nucl ear Explosions and Natural Earthquakes Using Multi-machine Learning Techniques)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news reporting originating in Cairo, Egypt, by Ne wsRx journalists, research stated, “In the field of seismic signal analysis, it is of utmost importance to accurately differentiate between earthquakes and unde rground nuclear explosions. As a contribution for the verification regime of the Comprehensive Nuclear Test Ban Treaty (CTBT), Various methods have been employe d for this purpose, including Complexity, Spectral ratio, mb-Ms (body wave and s urface wave magnitudes), and corner frequency of P and S waves.” Financial support for this research came from The National Research Institute of Astronomy and Geophysics (NRIAG).
CairoEgyptAfricaCyborgsEmerging TechnologiesMachine LearningNational Research Institute of Astronomy & Geophysics
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