1
Return

Morphologically robust adaptive thresholding algorithm for the detection of seismic precursors in continuous geoelectric monitoring: Hy-MAD

delete2026-08-08
delete0
PRE
AI
M
Mustafa Ulukavak
DOI：10.1016/j.measurement.2026.122793delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
• Lightweight Hy-MAD algorithm robustly detects seismic precursors. • Hybrid approach solves the LTA masking problem in long anomalies. • Validation uses 1-month continuous real data from East Anatolian Fault. • Hy-MAD improves detection F1-score by fivefold over classical methods. • Optimal precursor window is identified as 24 h before main shocks.
Keywords:
Early Warning Systems
Geoelectric Signals
Time-Series Analysis
Morphological Filtering
Natural Hazard Monitoring
Anomaly Detection

Journal

Measurement cover
Measurement
IF:
5.6
Papers:
1.9W
Citations:
5.4W

Organization

No organization information available
Cited Papers

Cited Papers

Citing Papers

Citing Papers