Results 131 to 140 of about 76,495 (193)

Detection of pre-seismic magnetic field anomalies using Swarm satellite data: a case study of the 2025 Mw7.7 Myanmar earthquake. [PDF]

Sci Rep
Alimoradi H, Rahimi H, De Santis A.
europepmc   +1 more source

Insights into the seismogenesis and tectonic implications of an isolated intraplate earthquake (M4.0) on February 17, 2025, in Delhi. [PDF]

Sci Rep
Prajapati SK, Bhattacharjee S, Pandey AK, Singh RK, Mishra OP.   +4 more
europepmc   +1 more source

Long-period microseismicity reveals cryptic earthquake-triggered fluid activity can facilitate caldera eruptions. [PDF]

Nat Commun
Song Z, Bell AF, LaFemina PC, Butcher S, Ruiz M, Hernández S, Gregg PM, Tan YJ.   +7 more
europepmc   +1 more source

Psychiatric outcomes after primary and secondary earthquake exposure: effects of loss, media, and treatment. [PDF]

Front Psychiatry
Torun HO, Akdöner B, Sarıkavak T, Kirli U.   +3 more
europepmc   +1 more source

Digital Technologies and Machine Learning in Environmental Hazard Monitoring: A Synthesis of Evidence for Floods, Air Pollution, Earthquakes, and Fires. [PDF]

Sensors (Basel)
Wilk-Jakubowski JL, Kuchcinski A, Wilk-Jakubowski GK, Palej A, Pawlik L.   +4 more
europepmc   +1 more source

SeismoQuakeGNN: a hybrid framework for spatio-temporal earthquake prediction with transformer-enhanced models. [PDF]

Front Artif Intell
Leema A, Balakrishnan P, Kiruba GG, Rajarajan G, Goel S, Aggarwal P.   +5 more
europepmc   +1 more source

A preliminary experiment to verify the relationship between radon and atmospheric electric conductivity related to earthquake precursors. [PDF]

Sci Rep
Du X, Wang Z, Zhu G, Huang R, Zhang X, Fu S, Xu X, Zhou C.   +7 more
europepmc   +1 more source

Anomaly detection and early risk identification in digital disaster response-based on deep learning in public health. [PDF]

Front Public Health
Wu W, Pan C.
europepmc   +1 more source

Interdecadal seismic periodicity modulated by solar and oceanic variability revealed from Chinese historical documents. [PDF]

Sci Rep
Fang K, Zhao Z, Wu H, He M, Li J, Tang W, Ou T.   +6 more
europepmc   +1 more source

Machine learning for prompt estimation of macroseismic intensity from seismometric data in Italy. [PDF]

Sci Rep
Patelli L, Cameletti M, De Rubeis V, Pino NA, Piromallo C, Sbarra P, Tosi P.   +6 more
europepmc   +1 more source