GRANATA, Francesco

GRANATA, Francesco  

Dipartimento di Ingegneria Civile e Meccanica  

Mostra records
Risultati 1 - 20 di 92 (tempo di esecuzione: 0.091 secondi).
Titolo Data di pubblicazione Autore(i) File
A Combined Clustering and Trends Analysis Approach for Characterizing Reference Evapotranspiration in Veneto 1-gen-2023 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 1-gen-2024 Yildiz, M. B.; Di Nunno, F.; Durin, B.; Pham, Q. B.; de Marinis, G.; Granata, F.
A flow field characterization along a side weir in supercritical flow 1-gen-2015 Granata, Francesco; Gargano, Rudy; Santopietro, Simone; DE MARINIS, Giovanni
A flow field characterization in a circular channel along a side weir 1-gen-2016 Granata, Francesco; Gargano, Rudy; Santopietro, Simone
A Flow Power Based Approach for Side Weirs 1-gen-2013 Granata, Francesco; DE MARINIS, Giovanni; Gargano, Rudy
A nonlinear autoregressive exogenous (NARX) model to predict nitrate concentration in rivers 1-gen-2022 Di Nunno, F.; Race, M.; Granata, F.
A novel additive regression model for streamflow forecasting in German rivers 1-gen-2024 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 1-gen-2023 Zhu, S.; Di Nunno, F.; Ptak, M.; Sojka, M.; Granata, F.
A shadowgraphy approach for the 3D Lagrangian description of bubbly flows 1-gen-2020 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 1-gen-2023 Granata, F.; Di Nunno, F.; Najafzadeh, M.; Demir, I.
A stacked machine learning model for multi-step ahead prediction of lake surface water temperature 1-gen-2023 Di Nunno, F.; Zhu, S.; Ptak, M.; Sojka, M.; Granata, F.
A stochastic approach for the water demand of residential end users 1-gen-2016 Gargano, Rudy; Di Palma, Federico; DE MARINIS, Giovanni; Granata, Francesco; Greco, Roberto
A stochastic model for daily residential water demand 1-gen-2016 Gargano, Rudy; Tricarico, Carla; del Giudice, G.; Granata, Francesco
Advanced evapotranspiration forecasting in Central Italy: Stacked MLP-RF algorithm and correlated Nystrom views with feature selection strategies 1-gen-2024 Granata, F.; Di Nunno, F.; de Marinis, G.
Air Entrainment in Drop Shafts: A Novel Approach Based on Machine Learning Algorithms and Hybrid Models 1-gen-2022 Granata, F.; Di Nunno, F.
Air-water flows in circular drop manholes 1-gen-2015 Granata, Francesco; DE MARINIS, Giovanni; Gargano, Rudy
ALGORITMI DI APPRENDIMENTO AUTOMATICO NELL’IDRAULICA DEI MANUFATTI FOGNARI 1-gen-2018 Granata, Francesco; Gargano, Rudy; Tricarico, Carla; DI NUNNO, Fabio; Santopietro, Simone; DE MARINIS, Giovanni
An Ensemble Neural Network Model to Forecast Drinking Water Consumption 1-gen-2022 Zanfei, Ariele; Menapace, Andrea; Granata, Francesco; Gargano, Rudy; Frisinghelli, Matteo; Righetti, Maurizio
An optimized NARX-based model for predicting thermal dynamics and heatwaves in rivers 1-gen-2024 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 1-gen-2024 Di Nunno, F.; de Marinis, G.; Granata, F.