Using Historical Information to Improve Seismic Data Processing Methods I
Offered By: AGU via YouTube
Course Description
Overview
Explore cutting-edge seismic data processing methods in this comprehensive conference session from the 2012 AGU Fall Meeting. Delve into six presentations covering topics such as Bayesian approaches for global monitoring, machine learning techniques for rapid epicentral distance and magnitude estimation, large-scale processing of seismic archives, data-intensive discovery methods, improved absolute event location using combined arrival time data, and high-resolution earthquake catalogs generated through waveform cross-correlation. Gain insights from invited speakers and experts in the field as they discuss innovative approaches to leveraging historical information for enhancing seismic data analysis and monitoring capabilities.
Syllabus
Fall Meeting 2012: Using Historical Information to Improve Seismic Data Processing Methods I
Taught by
AGU
Related Courses
Coding the Matrix: Linear Algebra through Computer Science ApplicationsBrown University via Coursera كيف تفكر الآلات - مقدمة في تقنيات الحوسبة
King Fahd University of Petroleum and Minerals via Rwaq (رواق) Datascience et Analyse situationnelle : dans les coulisses du Big Data
IONIS via IONIS Data Lakes for Big Data
EdCast 統計学Ⅰ:データ分析の基礎 (ga014)
University of Tokyo via gacco