Robotics & Machine Learning Daily News2024,Issue(Jan.22) :58-59.

New Machine Learning Study Findings Reported from Johns Hopkins University (Validating Ionospheric Models Against Technologically Relevant Metrics)

Robotics & Machine Learning Daily News2024,Issue(Jan.22) :58-59.

New Machine Learning Study Findings Reported from Johns Hopkins University (Validating Ionospheric Models Against Technologically Relevant Metrics)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are presented in a new report. According to newsreporting from Laurel, Maryland, by NewsRx journalists, research stated, “New, open access tools havebeen developed to validate ionospheric models in terms of technologically relevant metrics. These areionospheric errors on GPS 3D position, HF ham radio communications, and peak F-region density.”Financial supporters for this research include National Aeronautics & Space Administration (NASA),Canadian Space Agency.

Key words

Laurel/Maryland/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/Johns Hopkins University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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