首页|Investigators from Sapienza University of Rome Zero in on Machine Learning (Mach ine Learning-based Detection of Tec Signatures Related To Earthquakes and Tsunam is: the 2015 Illapel Case Study)
Investigators from Sapienza University of Rome Zero in on Machine Learning (Mach ine Learning-based Detection of Tec Signatures Related To Earthquakes and Tsunam is: the 2015 Illapel Case Study)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting originating from Rome, Italy, by Ne wsRx correspondents, research stated, “Earthquakes and tsunamis can trigger acou stic and gravity waves that could reach the ionosphere, generating electron dens ity disturbances, known as traveling ionospheric disturbances. These perturbatio ns can be investigated as variations in ionospheric total electron content (TEC) estimated through global navigation satellite systems (GNSS) receivers.” Funders for this research include Zegna Foundation, Zegna Foundation Grant, Doct oral Program fellowship within the Data Science Course of Sapienza University of Rome, AXA Research Fund, Intergovernmental Oceanographic Commission of UNESCO ( IOC-UNESCO) on Coastal Livelihood grant, ETH Zurich.
RomeItalyEuropeCyborgsEmerging T echnologiesMachine LearningSapienza University of Rome
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