Author:
Mukesh R.,Dass Sarat C.,Vijay M.,Kiruthiga S.,Praveenkumar M.,Prashanth M.
Funder
Visvesvaraya Technological University
Reference31 articles.
1. LSTM-based deep learning methods for prediction of earthquakes using ionospheric data;Abri;*Gazi University Journal of Science*,2022
2. Using support vector machine (SVM) with GPS ionospheric TEC estimations to potentially predict earthquake events;Asaly;Remote Sens. (Basel),2022
3. Cahyadi, M.N. and Prasetyo, M.T.A., 2019. Analysis of ionosphere changes due to earthquakes (case study: Regency of Lombok and Donggala). IOP Conference Series: Earth and Environmental Science, 389(1), 012044. IOP Publishing. doi:10.1088/1755-1315/389/1/012044.
4. The 8 September 2023, MW 6.8, morocco earthquake: a deep transpressive faulting along the active high atlas mountain belt;Cheloni;Geophys. Res. Lett.,2024
5. Electric currents in the earth crust and the generation of pre-earthquake ULF signals;Freund,2012
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献