Machine learning methods originated from artificial intelligence and are now used in various
fields in environmental sciences today. This is the first single-authored textbook providing a …

Due to the strong nonlinear interaction with river discharge, tides in estuaries are
characterised as nonstationary and their mechanisms are yet to be fully understood. It …

The soft computing technique of neural network is being extensively used across all
disciplines of ocean engineering, namely, offshore, coastal, and deep-ocean engineering …

Sophisticated wave models like the Wave Model (WAM) and Simulating Waves Nearshore
(SWAN)/WAVEWATCH are used nowadays along with atmospheric models to produce …

Storm surges pose significant danger and havoc to the coastal residents' safety, property,
and lives, particularly at offshore locations with shallow water levels. Predictions of storm …

In this study, an artificial neural network (ANN) model is developed to predict the stability
number of breakwater armor stones based on the experimental data reported by Van der …

In this study, a coastal sea level estimation model was developed at an hourly temporal
scale using the long short-term memory (LSTM) network, which is a type of recurrent neural …

Accurate prediction of tidal level including strong meteorologic effects is very important for
human activities in oceanic and coastal areas. The contribution of non-astronomical …

The elucidation of peculiarities of the sea level fluctuations along the Black Sea coast has an
important theoretical and applied significance with respect to the global and regional studies …

The three-dimensional hydrodynamics of Galveston Bay were simulated in two periods of
several month duration. The physical setting of Galveston Bay is described by synthesis of …