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Publication search results
found 74 matches
- 2024
- Jingbao Zhu, Yueyong Zhou, Heyi Liu, Congcong Jiao, Shanyou Li, Tao Fan, Yongxiang Wei, Jindong Song:
Rapid Earthquake Magnitude Classification Using Single Station Data Based on the Machine Learning. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - Rezvan Esmaeili, Roohollah Kimiaefar, Alireza Hajian, Khosro Soleimani-Chamkhorami, Maryam Hodhodi:
Performance enhancement of deep neural network using fusional data assimilation and divide-and-conquer approach; case study: earthquake magnitude calculation. Neural Comput. Appl. 36(27): 16899-16910 (2024) - Elena C. Reinisch, Charles J. Abolt, Erika M. Swanson, Bertrand Rouet-Leduc, Emily E. Snyder, Kavya Sivaraj, Kurt C. Solander:
Advancing the Limits of InSAR to Detect Crustal Displacement from Low-Magnitude Earthquakes through Deep Learning. Remote. Sens. 16(11): 2019 (2024) - Anushka Joshi, Pradeep Singh, Balasubramanian Raman:
A Deep Attention Model for Onsite Estimation of Earthquake Epicenter Distance and Magnitude. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024) - Dinh Ho Tong Minh, Yen-Nhi Ngo, Nicolas N. Baghdadi, Marcello de Michele, Fabien Albino, Marie-Pierre Doin, Erwan Pathier:
TomoSAR: Unlocking Magnitude 7.8 Turkey Earthquake and its free scientific service. IGARSS 2024: 10728-10731 - Marco Carratù, Vincenzo Gallo, Valter Laino, Vincenzo Paciello, António Espírito-Santo, Irida Shallari:
Earthquake Magnitude Estimation with Single Seismic Station using Deep Learning. M&N 2024: 1-6 - Daniele Rege Cambrin, Isaac Corley, Paolo Garza, Peyman Najafirad:
Estimating Earthquake Magnitude in Sentinel-1 Imagery via Ranking. CoRR abs/2407.18128 (2024) - 2023
- Yutaro Shigemitsu, Kazuya Ishitsuka, Weiren Lin:
Changes in widespread aquifer properties caused by a magnitude 6-class earthquake evaluated using InSAR analyses. Int. J. Appl. Earth Obs. Geoinformation 122: 103394 (2023) - Eirini Sardeli, Georgios Michas, Kyriaki Pavlou, Filippos Vallianatos:
Spatiotemporal Variations of the Frequency-Magnitude Distribution in the 2019 Mw 7.1 Ridgecrest, California, Earthquake Sequence. Entropy 25(12): 1612 (2023) - Bikash Sadhukhan, Shayak Chakraborty, Somenath Mukherjee:
Predicting the magnitude of an impending earthquake using deep learning techniques. Earth Sci. Informatics 16(1): 803-823 (2023) - Yun Zhou, Lisheng Xu, Zhengyang Pan, Ming Hao, Chunlai Li:
A Potential Earthquake with Magnitude Mw 7.2 on the Northern Xiaojiang Fault Revealed by GNSS Measurement. Remote. Sens. 15(4): 944 (2023) - Jie Liu, Tong Zhang, Chulin Gao, Peixiao Wang:
Forecasting Earthquake Magnitude and Epicenter by Incorporating Spatiotemporal Priors Into Deep Neural Networks. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - Deborah Novick, Mark Last:
Using Machine Learning Models for Earthquake Magnitude Prediction in California, Japan, and Israel. CSCML 2023: 151-169 - Kristina Shizuka Yamase Skarvang, Steinar Bjørnstad, Robin André Rørstadbotnen, Kurosh Bozorgebrahimi, Dag Roar Hjelme:
Observation of Local Small Magnitude Earthquakes using State Of Polarization Monitoring in a 250km Passive Arctic Submarine Communication Cable. OFC 2023: 1-3 - Gunbir Singh Baveja, Jaspreet Singh:
Earthquake Magnitude and b value prediction model using Extreme Learning Machine. CoRR abs/2301.09756 (2023) - 2022
- Mario Maya, Wen Yu, Luciano Telesca:
Multi-Step Forecasting of Earthquake Magnitude Using Meta-Learning Based Neural Networks. Cybern. Syst. 53(6): 563-580 (2022) - Oumaima Saidani, Ramkumar Raja Manoharan, Ahmed Samir Naje, Ruby Mishra, Arjun Subburaj, Maheswari S., Mohamed Yacin Sikkandar, Sankar Ganesh Sundaram, Regin Rajan, Sudhakar Sengan:
Analysis of positive correlation in magnitude and time measurement for earthquake using electric signals. Earth Sci. Informatics 15(3): 1527-1544 (2022) - Aarón Cofré, Marcelo Marín, Oscar Vásquez Pino, Nicolás Galleguillos, Sebastián Riquelme, Sergio Barrientos, Néstor Becerra Yoma:
End-to-End LSTM-Based Earthquake Magnitude Estimation With a Single Station. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - Sayed S. R. Moustafa, Mohamed S. Abdalzaher, H. E. Abdelhafiez:
Seismo-Lineaments in Egypt: Analysis and Implications for Active Tectonic Structures and Earthquake Magnitudes. Remote. Sens. 14(23): 6151 (2022) - Dingwen Zhang, Jihua Fu, Zhitao Li, Linyue Wang, Jiale Li, Jianjun Wang:
A Synchronous Magnitude Estimation with P-Wave Phases' Detection Used in Earthquake Early Warning System. Sensors 22(12): 4534 (2022) - Ian W. McBrearty, Gregory C. Beroza:
Earthquake Location and Magnitude Estimation with Graph Neural Networks. ICIP 2022: 3858-3862 - Sha Zhao, Yizhi Xu, Zhiling Luo, Jie Liu, Jindong Song, Shijian Li, Gang Pan:
Rapid Earthquake Magnitude Estimation Using Deep Learning. IJCNN 2022: 1-8 - Akshat Goel, Denise Gorse:
Deep vs. Shallow Learning: A Benchmark Study in Low Magnitude Earthquake Detection. CoRR abs/2205.00525 (2022) - 2021
- Yuki Yamagishi, Kazumi Saito, Kazuro Hirahara, Naonori Ueda:
Spatio-temporal clustering of earthquakes based on distribution of magnitudes. Appl. Netw. Sci. 6(1): 71 (2021) - Hatice Oncel Cekim, Senem Tekin, Gamze Özel:
Prediction of the earthquake magnitude by time series methods along the East Anatolian Fault, Turkey. Earth Sci. Informatics 14(3): 1339-1348 (2021) - Kostas Florios, Ioannis Contopoulos, Giorgos Tatsis, Vasilis Christofilakis, Spyridon K. Chronopoulos, Christos Repapis, Vasilis Tritakis:
Possible earthquake forecasting in a narrow space-time-magnitude window. Earth Sci. Informatics 14(1): 349-364 (2021) - Rachna Jain, Anand Nayyar, Simrann Arora, Akash Gupta:
A comprehensive analysis and prediction of earthquake magnitude based on position and depth parameters using machine and deep learning models. Multim. Tools Appl. 80(18): 28419-28438 (2021) - Zhiyu Gao, Yanchuan Li, Xinjian Shan, Chuanhua Zhu:
Earthquake Magnitude Estimation from High-Rate GNSS Data: A Case Study of the 2021 Mw 7.3 Maduo Earthquake. Remote. Sens. 13(21): 4478 (2021) - Liang Zhao, Rubing Liang, Xianlin Shi, Keren Dai, Jianhua Cheng, Junxing Cao:
Detecting and Analyzing the Displacement of a Small-Magnitude Earthquake Cluster in Rong County, China by the GACOS Based InSAR Technology. Remote. Sens. 13(20): 4137 (2021) - Zhenyu Bao, Jingyu Zhao, Pu Huang, Shanshan Yong, Xin'an Wang:
A Deep Learning-Based Electromagnetic Signal for Earthquake Magnitude Prediction. Sensors 21(13): 4434 (2021)
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