DI NUNNO, Fabio
DI NUNNO, Fabio
Dipartimento di Ingegneria Civile e Meccanica
A Combined Clustering and Trends Analysis Approach for Characterizing Reference Evapotranspiration in Veneto
2023-01-01 Di Nunno, F.; De Matteo, M.; Izzo, G.; Granata, F.
A Combined Seasonal Mann–Kendall and Innovative Approach for the Trend Analysis of Streamflow Rate in Two Croatian Rivers
2024-01-01 Yildiz, M. B.; Di Nunno, F.; Durin, B.; Pham, Q. B.; de Marinis, G.; Granata, F.
A nonlinear autoregressive exogenous (NARX) model to predict nitrate concentration in rivers
2022-01-01 Di Nunno, F.; Race, M.; Granata, F.
A novel additive regression model for streamflow forecasting in German rivers
2024-01-01 Granata, F.; Di Nunno, F.; Pham, Q. B.
A novel optimized model based on NARX networks for predicting thermal anomalies in Polish lakes during heatwaves, with special reference to the 2018 heatwave
2023-01-01 Zhu, S.; Di Nunno, F.; Ptak, M.; Sojka, M.; Granata, F.
A shadowgraphy approach for the 3D Lagrangian description of bubbly flows
2020-01-01 Di Nunno, F.; Alves Pereira, F.; Granata, F.; De Marinis, G.; Di Felice, F.; Gargano, R.; Miozzi, M.
A Stacked Machine Learning Algorithm for Multi-Step Ahead Prediction of Soil Moisture
2023-01-01 Granata, F.; Di Nunno, F.; Najafzadeh, M.; Demir, I.
A stacked machine learning model for multi-step ahead prediction of lake surface water temperature
2023-01-01 Di Nunno, F.; Zhu, S.; Ptak, M.; Sojka, M.; Granata, F.
Advanced evapotranspiration forecasting in Central Italy: Stacked MLP-RF algorithm and correlated Nystrom views with feature selection strategies
2024-01-01 Granata, F.; Di Nunno, F.; de Marinis, G.
Air Entrainment in Drop Shafts: A Novel Approach Based on Machine Learning Algorithms and Hybrid Models
2022-01-01 Granata, F.; Di Nunno, F.
ALGORITMI DI APPRENDIMENTO AUTOMATICO NELL’IDRAULICA DEI MANUFATTI FOGNARI
2018-01-01 Granata, Francesco; Gargano, Rudy; Tricarico, Carla; DI NUNNO, Fabio; Santopietro, Simone; DE MARINIS, Giovanni
An optimized NARX-based model for predicting thermal dynamics and heatwaves in rivers
2024-01-01 Zhu, S.; Di Nunno, F.; Sun, J.; Sojka, M.; Ptak, M.; Granata, F.
Analysis of SPI index trend variations in the United Kingdom - A cluster-based and bayesian ensemble algorithms approach
2024-01-01 Di Nunno, F.; de Marinis, G.; Granata, F.
APPLICAZIONE DELLA PIV-LIF ABBINATA AD ALGORITMI DI DISCRIMINAZIONE DELLE FASI PER LO STUDIO SPERIMENTALE DI FLUSSI BIFASE ARIA-ACQUA
2018-01-01 DI NUNNO, Fabio; DE MARINIS, Giovanni; Granata, Francesco; Gargano, Rudy; Fabio Di Felice, ; Massimo, Miozzi; Francisco Alves Pereira,
Artificial Intelligence models for prediction of the tide level in Venice
2021-01-01 Granata, F.; Di Nunno, F.
Data-Driven Approaches for Quantitative and Qualitative Control of Urban Drainage Systems (Preliminary Results)
2022-01-01 Gabriele, Annalaura; Di Nunno, Fabio; Granata, Francesco; Gargano, Rudy
Deformation of air bubbles near a plunging jet using a machine learning approach
2020-01-01 Di Nunno, F.; Pereira, F. A.; de Marinis, G.; Di Felice, F.; Gargano, R.; Miozzi, M.; Granata, F.
Equivalent Discharge Coefficient of Side Weirs in Circular Channel—A Lazy Machine Learning Approach
2019-01-01 Granata, Francesco; Di Nunno, Fabio; Gargano, Rudy; de Marinis, Giovanni
Evapotranspiration Analysis in Central Italy: A Combined Trend and Clustering Approach
2024-01-01 Di Nunno, F.; Diodato, N.; Bellocchi, G.; Tricarico, C.; de Marinis, G.; Granata, F.
Experimental study of a vertical plunging jet by means of a volumetric shadowgraph technique
2020-01-01 Di Nunno, F.; Pereira, F. A.; Miozzi, M.; Granata, F.; Gargano, R.; De Marinis, G.; Di Felice, F.