New Machine Learning Study Findings Recently Were Reported by Researchers at Pol ytechnic University Cartagena (Hemispheric Sunspot Number Prediction for Solar C ycles 25 and 26 Using Spectral Analysis and Machine Learning Techniques)

Robotics & Machine Learning Daily News2024，Issue(Sep.23) ：51-51.

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New Machine Learning Study Findings Recently Were Reported by Researchers at Pol ytechnic University Cartagena (Hemispheric Sunspot Number Prediction for Solar C ycles 25 and 26 Using Spectral Analysis and Machine Learning Techniques)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting out of Cartagena, Spain, by NewsRx e ditors, research stated, “The present study uses machine learning and time serie s spectral analysis to develop a novel technique to forecast the sunspot number (SN) in both hemispheres for the remainder of Solar Cycle 25 and Solar Cycle 26. This enables us to offer predictions for hemispheric SN until January 2038 (usi ng the 13-month running average).” Financial support for this research came from Universidad de Extremadura and Min isterio de Universidades of the Spanish Government.

Key words

Cartagena/Spain/Europe/Cyborgs/Emerg ing Technologies/Machine Learning/Polytechnic University Cartagena

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2024

Robotics & Machine Learning Daily News

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