Predicting the time, location and magnitude of an earthquake is a challenging job as an
earthquake does not show specific patterns resulting in inaccurate predictions. Techniques …

Earthquake magnitude prediction for Hindukush region has been carried out in this research
using the temporal sequence of historic seismic activities in combination with the machine …

Catastrophic natural hazards, such as earthquake, pose serious threats to properties and
human lives in urban areas. Therefore, earthquake risk assessment (ERA) is indispensable …

Earthquake prediction has been a challenging research area, where a future occurrence of
the devastating catastrophe is predicted. In this work, sixty seismic features are computed …

Due to the complexity of predicting future earthquakes, machine learning algorithms have
been used by several researchers to increase the Accuracy of the forecast. However, the …

The current study presents a novel combination of artificial neural network cross-validation
(fourfold ANN-CV) with a hybrid analytic hierarchy process-Technique for Order of …

Vulnerability assessment is one of the prerequisites for risk analysis in disaster
management. Vulnerability to earthquakes, especially in urban areas, has increased over …

The occurrence of earthquakes has been studied from many aspects. Apparently,
earthquakes occur without warning and can devastate entire cities in just a few seconds …

Earthquake magnitude prediction is a challenging problem that has been widely studied
during the last decades. Statistical, geophysical and machine learning approaches can be …

In this study an earthquake predictor system is proposed by combining seismic indicators
along with Genetic Programming (GP) and AdaBoost (GP-AdaBoost) based ensemble …