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Seismometer
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=== Deep-Learning === Researchers at Stanford University created a [[Deep learning|deep-learning]] algorithm called UrbanDenoiser which can detect earthquakes, particularly in urban cities.<ref name="deep1">{{Cite journal |last1=Yang |first1=Lei |last2=Liu |first2=Xin |last3=Zhu |first3=Weiqiang |last4=Zhao |first4=Liang |last5=Beroza |first5=Gregory C. |date=2022-04-15 |title=Toward improved urban earthquake monitoring through deep-learning-based noise suppression |journal=Science Advances |language=en |volume=8 |issue=15 |pages=eabl3564 |doi=10.1126/sciadv.abl3564 |pmid=35417238 |pmc=9007499 |bibcode=2022SciA....8L3564Y |issn=2375-2548}}</ref> The algorithm filters out the background noise from the seismic noise gathered from busy cities in urban areas to detect earthquakes.<ref name="deep1" /><ref>{{Cite web |title=A deep-learning algorithm could detect earthquakes by filtering out city noise |url=https://www.technologyreview.com/2022/04/13/1049763/a-deep-learning-algorithm-could-detect-earthquakes-by-filtering-out-city-noise/ |access-date=2022-04-17 |website=MIT Technology Review |language=en}}</ref>
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