all AI news
QuakeSet: A Dataset and Low-Resource Models to Monitor Earthquakes through Sentinel-1
March 28, 2024, 4:45 a.m. | Daniele Rege Cambrin, Paolo Garza
cs.CV updates on arXiv.org arxiv.org
Abstract: Earthquake monitoring is necessary to promptly identify the affected areas, the severity of the events, and, finally, to estimate damages and plan the actions needed for the restoration process. The use of seismic stations to monitor the strength and origin of earthquakes is limited when dealing with remote areas (we cannot have global capillary coverage). Identification and analysis of all affected areas is mandatory to support areas not monitored by traditional stations. Using social media …
abstract arxiv cs.ai cs.cv dataset earthquake earthquakes events finally identify low monitoring process seismic sentinel through type
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Lead Data Modeler
@ Sherwin-Williams | Cleveland, OH, United States