Tropical cyclones have always been a concern of meteorologists, and there are many
studies regarding the axisymmetric structures, dynamic mechanisms, and forecasting …

Despite the tremendous progress in the theory, observation and prediction of El Niño over
the past three decades, the classification of El Niño diversity and the genesis of such …

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 …

A probabilistic clustering method is used to describe various aspects of tropical cyclone (TC)
tracks in the Southern Hemisphere, for the period 1969–2008. A total of 7 clusters are …

The threat of intense tropical cyclones (TCs) to East Asia has increased in recent decades.
Integrated analyses of five available TC data sets for the period 1977–2010 revealed that …

Hurricanes constitute major natural disasters that lead to destruction and loss of lives.
Therefore, to reduce economic loss and to save human lives, an accurate forecast of …

As an area frequently suffering from storm surge, the Yangtze River Estuary in the East
China Sea requires fast and accurate prediction of water level for disaster prevention and …

Streamflow prediction is a challenging task due to the different processes involved in
streamflow generation. These different processes have different characteristics of the …

With the increasing popularity of online social media (eg, Facebook, Twitter, Reddit), the
detection of misleading content on social media has become a critical undertaking. This …

Fuzzy c-means (FCM) is a well-known and widely used fuzzy clustering method. Though
there have been considerable studies that focused on the improvement of FCM algorithm or …