The vulnerability of our civilization to earthquakes is rapidly growing, rais ing earthquakes to
the ranks of major threats faced by humankind. Earth quake prediction is necessary to …

A New Paradigm (data driven and not like the currently model driven) is needed for Reliable
Seismic Hazard Assessment RSHA. Neo-Deterministic Seismic Hazard Assessment …

This chapter describes a systematic approach to resolving the problem where may large
earthquakes occur at present. The approach is based on the pattern recognition technique …

Abstract In 1972, V. Keilis-Borok and I. Gelfand introduced the phenomenological approach
based on the morphostructural zoning and pattern recognition for identification of …

Typically, strong earthquakes do not occur over the entire territory of the seismically active
region. Recognition of areas where they may occur is a critical step in seismic hazard …

Abstract An original Discrete Perfect Sets (DPS) algorithm was developed and applied to
clustering of earthquake epicenters with M≥ 3.0 in California. The obtained clusters …

The book presents new clustering schemes, dynamical systems and pattern recognition
algorithms in geophysical, geodynamical and natural hazard applications. The original …

Seismogenic nodes capable of generating shallow earthquakes with M≥ 5.0 have been
identified in the northeast part of Egypt using the pattern recognition approach. The study …

Seismogenic nodes capable of earthquakes with M≥ 5.0 or I 0≥ VII have been identified in
the Iberian Peninsula using the pattern recognition approach. Recognition objects …

Morphostructural zoning (MSZ) scheme of the Himalayan arc region as obtained from a joint
study of topographic, geological and tectonic maps as well as satellite imagery is analysed …