… of classes, we found that under the input conditions, the maximum number of classes of the
… The lead time was defined as the time elapsed between when the model was run and the …

… ETD sandbank line over all years was defined from the two-dimensional measurement data
… mean values of each sections bottom heights were used as input for the models (Table 2). …

… a good test-bed since the corresponding physical model is … models (multiple linear regression
and artificial neural … Neural nets are typically “feed-forward,” meaning that data moves …

… of the North Current circulation in surface (black arrows). The … to their statistics (as defined
in section “Validation Statistics … to the under-representation of Mediterranean Sea cruises in …

… model that is able to predict the surface elevation for sea-… all the 1000 realisations under the
same scenario for sea-states … wave theory (LWT) and Artificial Neural Network (ANN) model. …

… Then, this time signal can be defined as a sum of sinusoidal waves with … neural networks
with LSTM cells, we attempt to approximate the right functionals that, given the sea surface time …

… sea surface). The received signal is a mixture of multipath signals in which direct and
surface-… The water depth is about 5300 m, and the bottom of the sea is roughly flat. The 11-element …

… The SST in spring is defined as the average of three months (… neural network model is
implemented by Keras under the … prediction results in this study, and they are defined as follows: …

… study and to provide proof of concept, only the data collected … located 1.3 m from the ocean
floor at ranges between 0.5 and … 10.3 to 24.3 m from the surface to account for any variability. …

… a strong seasonal cycle in surface ocean DMS with the highest concentrations and sea-to-air …
We eliminate DMS measurements that are under ice cover, leaving us with 82 996 DMS …