Forecasting evapotranspiration in different climates using ensembles of recurrent neural networks von Granata, Francesco, Di Nunno, Fabio

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Artificial Intelligence models for prediction of the tide level in Venice von Granata, Francesco, Di Nunno, Fabio

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Short-term forecasts of streamflow in the UK based on a novel hybrid artificial intelligence algorithm von Di Nunno, Fabio, de Marinis, Giovanni, Granata, Francesco

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Deformation of Air Bubbles Near a Plunging Jet Using a Machine Learning Approach von Di Nunno, Fabio, Pereira, Francisco Alves, de Marinis, Giovanni, Di Felice, Fabio, Gargano, Rudy, Miozzi, Massimo, Granata, Francesco

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Experimental study of air-water two-phase jet: bubble size distribution and velocity measurements von Fabio, Di Nunno, Francisco, Alves Pereira, Giovanni, de Marinis, Fabio, Di Felice, Rudy, Gargano, Francesco, Granata, Massimo, Miozzi

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Prediction of spring flows using nonlinear autoregressive exogenous (NARX) neural network models von Di Nunno, Fabio, Granata, Francesco, Gargano, Rudy, de Marinis, Giovanni

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Hybrid Machine Learning Models for Soil Saturated Conductivity Prediction von Granata, Francesco, Di Nunno, Fabio, Modoni, Giuseppe

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A Combined Clustering and Trends Analysis Approach for Characterizing Reference Evapotranspiration in Veneto von Di Nunno, Fabio, De Matteo, Marco, Izzo, Giovanni, Granata, Francesco

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Tide Prediction in the Venice Lagoon Using Nonlinear Autoregressive Exogenous (NARX) Neural Network von Di Nunno, Fabio, de Marinis, Giovanni, Gargano, Rudy, Granata, Francesco

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Precipitation Forecasting in Northern Bangladesh Using a Hybrid Machine Learning Model von Di Nunno, Fabio, Granata, Francesco, Pham, Quoc Bao, de Marinis, Giovanni

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Analysis of SPI index trend variations in the United Kingdom - A cluster-based and bayesian ensemble algorithms approach von Di Nunno, Fabio, de Marinis, Giovanni, Granata, Francesco

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Forecasting of Extreme Storm Tide Events Using NARX Neural Network-Based Models von Di Nunno, Fabio, Granata, Francesco, Gargano, Rudy, de Marinis, Giovanni

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Air Entrainment in Drop Shafts: A Novel Approach Based on Machine Learning Algorithms and Hybrid Models von Granata, Francesco, Di Nunno, Fabio

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A Unique Approach to Hydrological Behavior along the Bednja River (Croatia) Watercourse von Đurin, Bojan, Plantak, Lucija, Bonacci, Ognjen, Di Nunno, Fabio

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A novel additive regression model for streamflow forecasting in German rivers von Granata, Francesco, Di Nunno, Fabio, Pham, Quoc Bao

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Two-Phase PIV-LIF Measurements in a Submerged Bubbly Water Jet von Di Nunno, Fabio, Pereira, Francisco Alves, de Marinis, Giovanni, Di Felice, Fabio, Gargano, Rudy, Granata, Francesco, Miozzi, Massimo

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A Stacked Machine Learning Algorithm for Multi-Step Ahead Prediction of Soil Moisture von Granata, Francesco, Di Nunno, Fabio, Najafzadeh, Mohammad, Demir, Ibrahim

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Equivalent Discharge Coefficient of Side Weirs in Circular Channel—A Lazy Machine Learning Approach von Granata, Francesco, Di Nunno, Fabio, Gargano, Rudy, de Marinis, Giovanni

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Prediction of daily river water temperatures using an optimized model based on NARX networks von Sun, Jiang, Di Nunno, Fabio, Sojka, Mariusz, Ptak, Mariusz, Luo, You, Xu, Renyi, Xu, Jing, Luo, Yi, Zhu, Senlin, Granata, Francesco

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A Combined Seasonal Mann–Kendall and Innovative Approach for the Trend Analysis of Streamflow Rate in Two Croatian Rivers von Yıldız, Mehmet Berkant, Di Nunno, Fabio, Đurin, Bojan, Pham, Quoc Bao, de Marinis, Giovanni, Granata, Francesco

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