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Seismo-acoustic Data Fusion: Determining the Best Acquisition Designs for Multi-Phenomenological Monitoring Campaigns.
Author(s) -
Sarah Albert,
Ronald Brogan,
Fransiska Dannemann Dugick,
Elizabeth Berg,
Clint Koch
Publication year - 2021
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2172/1855935
Subject(s) - sensor fusion , bayesian probability , computer science , function (biology) , solver , likelihood function , data mining , bayesian network , posterior probability , algorithm , machine learning , artificial intelligence , estimation theory , evolutionary biology , biology , programming language

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