Importance of Machine Learning and Deep Learning Algorithms in Earthquake Prediction: A Review
| dc.contributor.author | Gursoy, G. | |
| dc.contributor.author | Varol, A. | |
| dc.contributor.author | Nasab, A. | |
| dc.date.accessioned | 2024-07-12T21:40:48Z | |
| dc.date.available | 2024-07-12T21:40:48Z | |
| dc.date.issued | 2023 | en_US |
| dc.department | [Belirlenecek] | en_US |
| dc.description | IEEE;IEEE Education Society's | en_US |
| dc.description | 11th International Symposium on Digital Forensics and Security, ISDFS 2023 -- 11 May 2023 through 12 May 2023 -- -- 189042 | en_US |
| dc.description.abstract | Earthquakes are the leading natural disasters that have caused loss of life and property since the formation of the world. Machine learning and deep learning are frequently used in studies for earthquake prediction. This article consists of a compilation of studies using machine learning and deep learning algorithms. In the article, studies on topics such as earthquake magnitude estimation, signal discrimination, electron density estimations in the ionosphere, examination of radon gas anomalies using machine learning and deep learning algorithms are included. The studies in this paper show that Deep Learning algorithms are used more frequently in earthquake forecasting. It is expected that Deep Learning will provide more successful results in future studies due to its ability to work with larger data sets compared to Machine Learning and its ability to improve itself from errors. © 2023 IEEE. | en_US |
| dc.identifier.doi | 10.1109/ISDFS58141.2023.10131766 | |
| dc.identifier.isbn | 9.79835E+12 | |
| dc.identifier.scopus | 2-s2.0-85163065461 | en_US |
| dc.identifier.scopusquality | N/A | en_US |
| dc.identifier.uri | https://doi.org/10.1109/ISDFS58141.2023.10131766 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12415/7467 | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
| dc.relation.ispartof | ISDFS 2023 - 11th International Symposium on Digital Forensics and Security | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.snmz | KY08811 | |
| dc.subject | Deep Learning | en_US |
| dc.subject | Early Earthquake Systems | en_US |
| dc.subject | Earthquake | en_US |
| dc.subject | Machine Learning | en_US |
| dc.title | Importance of Machine Learning and Deep Learning Algorithms in Earthquake Prediction: A Review | en_US |
| dc.type | Conference Object | |
| dspace.entity.type | Publication |
