Fabio DI NUNNO
Università degli Studi di Cassino e del Lazio Meridionale
H-index: 15
Europe-Italy
Top articles of Fabio DI NUNNO
Title | Journal | Author(s) | Publication Date |
---|---|---|---|
Prediction of daily river water temperatures using an optimized model based on NARX networks | Ecological Indicators | Jiang Sun Fabio Di Nunno Mariusz Sojka Mariusz Ptak You Luo | 2024/4/1 |
Analysis of SPI index trend variations in the United Kingdom-A cluster-based and bayesian ensemble algorithms approach | Journal of Hydrology: Regional Studies | Fabio Di Nunno Giovanni de Marinis Francesco Granata | 2024/4/1 |
An optimized NARX-based model for predicting thermal dynamics and heatwaves in rivers | Science of The Total Environment | Senlin Zhu Fabio Di Nunno Jiang Sun Mariusz Sojka Mariusz Ptak | 2024/5/20 |
Advanced evapotranspiration forecasting in Central Italy: Stacked MLP-RF algorithm and correlated Nystrom views with feature selection strategies | Computers and Electronics in Agriculture | Francesco Granata Fabio Di Nunno Giovanni de Marinis | 2024/5/1 |
A novel additive regression model for streamflow forecasting in German rivers | Results in Engineering | Francesco Granata Fabio Di Nunno Quoc Bao Pham | 2024/4/10 |
a unique approach to hydrological behavior along the Bednja river (Croatia) watercourse | Water | Bojan Đurin Lucija Plantak Ognjen Bonacci Fabio Di Nunno | 2023/2/2 |
A Combined clustering and trends analysis approach for characterizing reference evapotranspiration in Veneto | Sustainability | Fabio Di Nunno Marco De Matteo Giovanni Izzo Francesco Granata | 2023/7/16 |
The influence of the tributaries of the Mirna River (Croatia) on the sustainability of the ecosystem | Ivana Pintarić Magdalena Drožđan Bojan Đurin Fabio Di Nunno | 2023 | |
Spatio-temporal analysis of drought in Southern Italy: a combined clustering-forecasting approach based on SPEI index and artificial intelligence algorithms | Stochastic Environmental Research and Risk Assessment | Fabio Di Nunno Francesco Granata | 2023/6 |
A novel optimized model based on NARX networks for predicting thermal anomalies in Polish lakes during heatwaves, with special reference to the 2018 heatwave | Science of the Total Environment | Senlin Zhu Fabio Di Nunno Mariusz Ptak Mariusz Sojka Francesco Granata | 2023/12/20 |
Future trends of reference evapotranspiration in Sicily based on CORDEX data and Machine Learning algorithms | Agricultural Water Management | Fabio Di Nunno Francesco Granata | 2023/4/30 |
Multi-step ahead groundwater level forecasting in Grand Est, France: Comparison between stacked machine learning model and radial basis function neural network | Groundwater for Sustainable Development | Fabio Di Nunno Carlo Giudicianni Enrico Creaco Francesco Granata | 2023/11/1 |
Short-term forecasts of streamflow in the UK based on a novel hybrid artificial intelligence algorithm | Scientific Reports | Fabio Di Nunno Giovanni de Marinis Francesco Granata | 2023/4/29 |
A stacked machine learning model for multi-step ahead prediction of lake surface water temperature | Science of the Total Environment | Fabio Di Nunno Senlin Zhu Mariusz Ptak Mariusz Sojka Francesco Granata | 2023/9/10 |
Nonlinear autoregressive exogenous (narx) neural network models for storm tide forecasting in the venice lagoon | Environmental Sciences Proceedings | Fabio Di Nunno Francesco Granata Rudy Gargano Giovanni De Marinis | 2023/2/15 |
Neuroforecasting of daily streamflows in the UK for short-and medium-term horizons: A novel insight | Journal of Hydrology | Francesco Granata Fabio Di Nunno | 2023/9/1 |
River flow rate prediction in the Des Moines watershed (Iowa, USA): A machine learning approach | Stochastic Environmental Research and Risk Assessment | Ahmed Elbeltagi Fabio Di Nunno Nand Lal Kushwaha Giovanni De Marinis Francesco Granata | 2022/11 |
Precipitation forecasting in Northern Bangladesh using a hybrid machine learning model | Sustainability | Fabio Di Nunno Francesco Granata Quoc Bao Pham Giovanni de Marinis | 2022/2/24 |
Air entrainment in drop shafts: a novel approach based on machine learning algorithms and hybrid models | Fluids | Francesco Granata Fabio Di Nunno | 2022/1/1 |
Stacked machine learning algorithms and bidirectional long short-term memory networks for multi-step ahead streamflow forecasting: A comparative study | Journal of Hydrology | Francesco Granata Fabio Di Nunno Giovanni de Marinis | 2022/10/1 |