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Fabio DI NUNNO
Fabio DI NUNNO
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Citado por
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Año
Groundwater level prediction in Apulia region (Southern Italy) using NARX neural network
F Di Nunno, F Granata
Environmental Research 190, 110062, 2020
1172020
Forecasting evapotranspiration in different climates using ensembles of recurrent neural networks
F Granata, F Di Nunno
Agricultural Water Management 255, 107040, 2021
1012021
Groundwater level prediction using machine learning algorithms in a drought-prone area
QB Pham, M Kumar, F Di Nunno, A Elbeltagi, F Granata, ARMT Islam, ...
Neural Computing and Applications 34 (13), 10751-10773, 2022
902022
Stacked machine learning algorithms and bidirectional long short-term memory networks for multi-step ahead streamflow forecasting: A comparative study
F Granata, F Di Nunno, G de Marinis
Journal of Hydrology 613, 128431, 2022
612022
Artificial Intelligence models for prediction of the tide level in Venice
F Granata, F Di Nunno
Stochastic Environmental Research and Risk Assessment 35 (12), 2537-2548, 2021
572021
Potential of a Quorum Quenching Bacteria Isolate Ochrobactrum intermedium D-2 Against Soft Rot Pathogen Pectobacterium carotovorum subsp. carotovorum
X Fan, T Ye, Q Li, P Bhatt, L Zhang, S Chen
Frontiers in microbiology 11, 898, 2020
492020
Forecasting of extreme storm tide events using NARX neural network-based models
F Di Nunno, F Granata, R Gargano, G de Marinis
Atmosphere 12 (4), 512, 2021
412021
Tide prediction in the Venice Lagoon using nonlinear autoregressive exogenous (NARX) neural network
F Di Nunno, G de Marinis, R Gargano, F Granata
Water 13 (9), 1173, 2021
382021
Prediction of spring flows using nonlinear autoregressive exogenous (NARX) neural network models
F Di Nunno, F Granata, R Gargano, G de Marinis
Environmental Monitoring and Assessment 193 (6), 350, 2021
322021
Future trends of reference evapotranspiration in Sicily based on CORDEX data and Machine Learning algorithms
F Di Nunno, F Granata
Agricultural Water Management 280, 108232, 2023
292023
River flow rate prediction in the Des Moines watershed (Iowa, USA): A machine learning approach
A Elbeltagi, F Di Nunno, NL Kushwaha, G De Marinis, F Granata
Stochastic Environmental Research and Risk Assessment 36 (11), 3835-3855, 2022
282022
Neuroforecasting of daily streamflows in the UK for short-and medium-term horizons: A novel insight
F Granata, F Di Nunno
Journal of Hydrology 624, 129888, 2023
262023
Equivalent discharge coefficient of side weirs in circular channel—A lazy machine learning approach
F Granata, F Di Nunno, R Gargano, G de Marinis
Water 11 (11), 2406, 2019
252019
A stacked machine learning model for multi-step ahead prediction of lake surface water temperature
F Di Nunno, S Zhu, M Ptak, M Sojka, F Granata
Science of the Total Environment 890, 164323, 2023
232023
A nonlinear autoregressive exogenous (NARX) model to predict nitrate concentration in rivers
F Di Nunno, M Race, F Granata
Environmental Science and Pollution Research 29 (27), 40623-40642, 2022
212022
Precipitation forecasting in Northern Bangladesh using a hybrid machine learning model
F Di Nunno, F Granata, QB Pham, G de Marinis
Sustainability 14 (5), 2663, 2022
182022
Microplastics in combined sewer overflows: an experimental study
F Di Nunno, F Granata, F Parrino, R Gargano, G de Marinis
Journal of Marine Science and Engineering 9 (12), 1415, 2021
162021
Short-term forecasts of streamflow in the UK based on a novel hybrid artificial intelligence algorithm
F Di Nunno, G de Marinis, F Granata
Scientific Reports 13 (1), 7036, 2023
152023
Spatio-temporal analysis of drought in Southern Italy: a combined clustering-forecasting approach based on SPEI index and artificial intelligence algorithms
F Di Nunno, F Granata
Stochastic Environmental Research and Risk Assessment 37 (6), 2349-2375, 2023
132023
A stacked machine learning algorithm for multi-step ahead prediction of soil moisture
F Granata, F Di Nunno, M Najafzadeh, I Demir
Hydrology 10 (1), 1, 2022
122022
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