Radon as a Tracer for Earthquake Studies

Baskaran, Mark

doi:10.1007/978-3-319-21329-3_10

Radon: A Tracer for Geological, Geophysical and Geochemical Studies 2016

DOI: 10.1007/978-3-319-21329-3_10

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Radon as a Tracer for Earthquake Studies

Mark Baskaran

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2024

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Integrating Computational Wisdom

Rubidha Devi,

Natarajan

2024

Advances in Environmental Engineering and Green Technologies

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This study employs deep learning and machine learning to critically analyze the significance of ensemble approaches in earthquake prediction. It examines research that has utilized ensemble techniques to enhance prediction resilience, emphasizing the value of boosting, bagging, and random forests. The analysis includes a discussion of the impacts of hyperparameter tuning, ensemble diversity, and the combination of multiple models. The chapter highlights the growing trend of merging seismic and non-seismic precursors to improve forecasting capabilities. Advances in data integration techniques and interdisciplinary models are reviewed, along with multidisciplinary approaches that incorporate numerous sources of data. This chapter focuses on the development and deployment of early warning systems that use both seismic and non-seismic data to predict earthquakes. It also suggests the need for standardized data formats and cooperative efforts to overcome difficulties in data integration and standardization.

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Integrating Computational Wisdom

Rubidha Devi,

Natarajan

2024

Advances in Environmental Engineering and Green Technologies

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scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Radon as a Tracer for Earthquake Studies

Cited by 1 publication

References 30 publications

Integrating Computational Wisdom

Integrating Computational Wisdom

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