DI NUNNO, Fabio

DI NUNNO, Fabio  

Dipartimento di Ingegneria Civile e Meccanica  

Mostra records
Risultati 1 - 20 di 35 (tempo di esecuzione: 0.031 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 nonlinear autoregressive exogenous (NARX) model to predict nitrate concentration in rivers 1-gen-2022 Di Nunno, F.; Race, M.; Granata, F.
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.
Air Entrainment in Drop Shafts: A Novel Approach Based on Machine Learning Algorithms and Hybrid Models 1-gen-2022 Granata, F.; Di Nunno, F.
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
APPLICAZIONE DELLA PIV-LIF ABBINATA AD ALGORITMI DI DISCRIMINAZIONE DELLE FASI PER LO STUDIO SPERIMENTALE DI FLUSSI BIFASE ARIA-ACQUA 1-gen-2018 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 1-gen-2021 Granata, F.; Di Nunno, F.
Data-Driven Approaches for Quantitative and Qualitative Control of Urban Drainage Systems (Preliminary Results) 1-gen-2022 Gabriele, Annalaura; Di Nunno, Fabio; Granata, Francesco; Gargano, Rudy
Deformation of air bubbles near a plunging jet using a machine learning approach 1-gen-2020 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 1-gen-2019 Granata, Francesco; Di Nunno, Fabio; Gargano, Rudy; de Marinis, Giovanni
Experimental study of a vertical plunging jet by means of a volumetric shadowgraph technique 1-gen-2020 Di Nunno, F.; Pereira, F. A.; Miozzi, M.; Granata, F.; Gargano, R.; De Marinis, G.; Di Felice, F.
Experimental study of air-water two-phase jet: bubble size distribution and velocity measurements. 1-gen-2018 DI NUNNO, Fabio; Alves Pereira, Francisco; DE MARINIS, Giovanni; Di Felice, Fabio; Gargano, Rudy; Granata, Francesco; Miozzi, Massimo
Experimental study of three in-line bubbles rising in still water by means of a three-dimensional (3D) shadowgraphy technique 1-gen-2021 Di Nunno, F.; Granata, F.; Miozzi, M.; Gargano, R.; de Marinis, G; Pereira, F. A.; Di Felice, F.
Forecasting evapotranspiration in different climates using ensembles of recurrent neural networks 1-gen-2021 Granata, F.; Di Nunno, F.
Forecasting of extreme storm tide events using narx neural network‐based models 1-gen-2021 Di Nunno, F.; Granata, F.; Gargano, R.; de Marinis, G.
Future trends of reference evapotranspiration in Sicily based on CORDEX data and Machine Learning algorithms 1-gen-2023 Di Nunno, F.; Granata, F.
Groundwater level forecasting in Northern Bangladesh using nonlinear autoregressive exogenous (NARX) and extreme learning machine (ELM) neural networks 1-gen-2022 DI NUNNO, Fabio; S. I., Abba; Bao Quoc, Pham; Abu Reza Md., Towfiqul Islam; Swapan Talukdar, &; Granata, Francesco