首页|Findings on Machine Learning Discussed by Investigators at University of Naples Federico II [Spatial Pattern of the Seismicity Induced By Geo thermal Operations At the Geysers (California) Inferred By Unsupervised Machine Learning]
Findings on Machine Learning Discussed by Investigators at University of Naples Federico II [Spatial Pattern of the Seismicity Induced By Geo thermal Operations At the Geysers (California) Inferred By Unsupervised Machine Learning]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting out of Naples, Italy, by New sRx editors, research stated, “We analyzed the earthquake densityof the Geysers geothermal field (California) as a function of time and space over a decade. We groupedparts of the volume of the geothermal area sharing similar earthquake r ates over time; in this way, wefound three concentric spatial domains centered on the principal exploitation area and labeled as A, B,and C, moving from the i nner- to the outermost domain and characterized by peculiar time-history of theearthquake rates and different stress conditions.”
NaplesItalyEuropeCyborgsEmerging TechnologiesMachine LearningUniversity of Naples Federico Ⅱ
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