首页|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)
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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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.
University of CalgaryCalgaryCanadaNorth and Central AmericaCyborgsEmerging TechnologiesMachine Learning
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