Hong Kong Polytechnic University Researchers Describe Advances in Machine Learni ng (Amplitude scintillation detection with geodetic GNSS receivers leveraging ma chine learning decision tree)
Hong Kong Polytechnic University Researchers Describe Advances in Machine Learni ng (Amplitude scintillation detection with geodetic GNSS receivers leveraging ma chine learning decision tree)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in artificial intelligence. According to news originating from Hong Kong Polytechni c University by NewsRx correspondents, research stated, "The amplitude scintilla tion detection is typically achieved by using the scintillation index generated by dedicated and costly ionospheric scintillation monitoring receivers (ISMRs)." Funders for this research include Research Grants Council, University Grants Com mittee; National Natural Science Foundation of China. Our news reporters obtained a quote from the research from Hong Kong Polytechnic University: "Considering the large volume of common Global Navigation Satellite System (GNSS) receivers, this paper presents a strategy to accurately identify the ionospheric amplitude scintillation events utilizing the measurements collec ted with geodetic GNSS receivers. The proposed detection method relies on a pre- trained machine learning decision tree algorithm, leveraging the scintillation i ndex computed from the carrier-tonoise data and elevation angles collected at 1 -Hz. The experimental results using real data demonstrate a 99% ac curacy in scintillation detection can be achieved."
Key words
Hong Kong Polytechnic University/Cyborg s/Emerging Technologies/Machine Learning
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