Data on Machine Learning Reported by a Researcher at University of Calgary (A Ma chine Learning-Based Tropospheric Prediction Approach for High-Precision Real-Ti me GNSS Positioning)

Robotics & Machine Learning Daily News2024，Issue(MAY.27) ：4-5.

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Data on Machine Learning Reported by a Researcher at University of Calgary (A Ma chine Learning-Based Tropospheric Prediction Approach for High-Precision Real-Ti me GNSS Positioning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on artificial intell igence are discussed in a new report. According to news originating from Calgary , Canada, by NewsRx correspondents, research stated, "For high-precision positio ning applications, various GNSS errors need to be mitigated, including the tropo spheric error, which remains a significant error source as it can reach up to a few meters."Financial supporters for this research include Natural Sciences And Engineering Research Council of Canada.

Key words

University of Calgary/Calgary/Canada/North and Central America/Cyborgs/Emerging Technologies/Machine Learning

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2024

Robotics & Machine Learning Daily News

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