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On the potential of Bayesian neural networks for estimating chlorophyll-a concentration from satellite data

Identification of Moving Sources in Stochastic Fields: A Bayesian Inferential Approach with Application to Marine Traffic in the Mediterranean Sea

Downscaling Using CDAnet Under Observational and Model Noises: The Rayleigh-Bénard Convection Paradigm

Data Assimilation in Chaotic Systems Using Deep Reinforcement Learning

Data Assimilation in Chaotic Systems Using Deep Reinforcement Learning

Two-step AI-aided Bayesian source identification of urban-scale pollution

Oil spill risk analysis for the NEOM shoreline

Global Sensitivity Analysis of an Oil Spill Model: a Regularized Regression Approach.

Semantic Segmentation of Mesoscale Eddies in the Arabian Sea: A Deep Learning Approach

CDAnet: A Physics-Informed Deep Neural Network for Downscaling Fluid Flows