Environmental measurements generate great volumes of high-dimensional data (often noisy
and with missing values) from which meaningful messages may be extracted through …

In this study, a linear discriminant analysis (LDA)-based nomenclature system have been
used for the classification of groundwater samples in a coastal aquifer. The capability of …

The long short-term memory (LSTM) network underpins many achievements and
breakthroughs especially in natural language processing fields. Essentially, it is endowed …

This thesis is aimed at enhancing the use of self-organizing maps (SOMs) within water-
related research. A type of artificial neural network, the SOM is proficient at dimension …

In this study, information extracted from the first global urban fluvial flood risk data set
(Aqueduct) is investigated and visualized to explore current and projected city-level flood …

Electroencephalography (EEG) facilitates the neuroscientific research and applications by
virtue of its properties such as non-invasion, affordability, mobility, etc. However, challenges …