The Potential of Deep Learning for Satellite Rainfall Detection over Data-Scarce Regions, the West African Savanna by Mónica Estébanez-Camarena, Riccardo Taormina, Nick van de Giesen, Marie-Claire ten Veldhuis

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The Role of Water Vapor Observations in Satellite Rainfall Detection Highlighted by a Deep Learning Approach by Mónica Estébanez-Camarena, Fabio Curzi, Riccardo Taormina, Nick van de Giesen, Marie-Claire ten Veldhuis

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Advancing deep learning-based detection of floating litter using a novel open dataset by Tianlong Jia, Andre Jehan Vallendar, Andre Jehan Vallendar, Rinze de Vries, Zoran Kapelan, Riccardo Taormina

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Predicting streamflow with LSTM networks using global datasets by Katharina Wilbrand, Riccardo Taormina, Marie-Claire ten Veldhuis, Martijn Visser, Markus Hrachowitz, Jonathan Nuttall, Ruben Dahm

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Smart Urban Water Networks: Solutions, Trends and Challenges by Armando Di Nardo, Dominic L. Boccelli, Manuel Herrera, Enrico Creaco, Andrea Cominola, Robert Sitzenfrei, Riccardo Taormina

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Assessing the performances and transferability of graph neural network metamodels for water distribution systems by Bulat Kerimov, Roberto Bentivoglio, Alexander Garzón, Elvin Isufi, Franz Tscheikner-Gratl, David Bernhard Steffelbauer, Riccardo Taormina

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Operational low-flow forecasting using LSTMs by Jing Deng, Jing Deng, Anaïs Couasnon, Ruben Dahm, Markus Hrachowitz, Klaas-Jan van Heeringen, Hans Korving, Albrecht Weerts, Albrecht Weerts, Riccardo Taormina

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