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 …

Improving disaster management and recovery techniques is one of national priorities given
the huge toll caused by man-made and nature calamities. Data-driven disaster management …

This work evaluates artificial neural networks' accuracy when used to predict earthquakes
magnitude in Tokyo. Several seismicity indicators have been retrieved from the literature …

Earthquakes are classified as one of the most devastating natural disasters that can have
catastrophic effects on the environment, lives, and properties. Most recent devastating …

By definition, an earthquake is a naturally occurring event. This natural event may be a
disaster that causes significant damage, loss of life, and other economic effects. The …

Increasing attention has been paid to the prediction of earthquakes with data mining
techniques during the last decade. Several works have already proposed the use of certain …

This paper reviews the use and necessity of artificial intelligence (AI) in today's environment
of geotechnical earthquake engineering (GEE). As population boom in earthquake sensitive …

摘要(中) 臺灣位於板塊交界帶, 地震發生頻繁, 且常有致災型地震造成重大傷亡及經濟損失.
倘若能有效地預測地震災害發生的時間, 地點以及規模, 將有助於減少其帶來的災損 …

Increasing attention has been paid to the prediction of earthquakes with data mining
techniques during the last decade. Several works have already proposed the use of certain …

In this project, a system was developed, which allows a flood prediction based on given data
sets for a level measuring station in the Goslar area for a period of four hours. First, existing …