Comparative Analysis of Machine Learning Models for Earthquake Prediction Using Large Textual Datasets
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9610-0_21
Reference7 articles.
1. Asim KM, Martínez-Álvarez F, Basit A et al (2017) Earthquake magnitude prediction in Hindukush region using machine learning techniques. Nat Hazards 85:471–486. https://doi.org/10.1007/s11069-016-2579-3
2. Li R, Lu X, Li S, Yang H, Qiu J, Zhang L (2020) DLEP: a deep learning model for earthquake prediction. In: 2020 international joint conference on neural networks (IJCNN), Glasgow, UK, 2020, pp 1–8. https://doi.org/10.1109/IJCNN48605.2020.9207621
3. Abdul Salam M, Abdelminaam SD (2021) Earthquake prediction using hybrid machine learning techniques. Int J Adv Comput Sci Appl 12:654–665. https://doi.org/10.14569/IJACSA.2021.0120578
4. Debnath P, Chittora P, Chakrabarti T, Chakrabarti P, Leonowicz Z, Jasinski M, Gono R, Jasińska E (2021) Analysis of earthquake forecasting in India using supervised machine learning classifiers. Sustainability 13(2):971. https://doi.org/10.3390/su13020971
5. Chittora P, Chakrabarti T, Debnath P et al (2022) Experimental analysis of earthquake prediction using machine learning classifiers, curve fitting, and neural modeling, 01 Sept 2022. PREPRINT (Version 2) available at Research Square. https://doi.org/10.21203/rs.3.rs-1896823/v2
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