DI NUNNO, Fabio
 Distribuzione geografica
Continente #
NA - Nord America 1.925
AS - Asia 1.375
EU - Europa 1.259
SA - Sud America 262
AF - Africa 49
Continente sconosciuto - Info sul continente non disponibili 2
OC - Oceania 2
Totale 4.874
Nazione #
US - Stati Uniti d'America 1.843
SG - Singapore 484
CN - Cina 353
IE - Irlanda 306
RU - Federazione Russa 241
HK - Hong Kong 206
BR - Brasile 196
IT - Italia 192
SE - Svezia 151
VN - Vietnam 114
DE - Germania 112
IN - India 58
CA - Canada 45
BD - Bangladesh 43
GB - Regno Unito 43
FI - Finlandia 38
UA - Ucraina 38
FR - Francia 35
JP - Giappone 24
NL - Olanda 24
MX - Messico 22
ZA - Sudafrica 20
AR - Argentina 19
AT - Austria 18
TR - Turchia 18
ES - Italia 11
VE - Venezuela 11
CO - Colombia 10
ID - Indonesia 10
PL - Polonia 10
EC - Ecuador 9
IQ - Iraq 9
RO - Romania 9
TN - Tunisia 9
PK - Pakistan 7
JM - Giamaica 6
LT - Lituania 6
MA - Marocco 6
SA - Arabia Saudita 6
AE - Emirati Arabi Uniti 5
CL - Cile 5
NP - Nepal 5
BO - Bolivia 4
DK - Danimarca 4
IR - Iran 4
LU - Lussemburgo 4
PY - Paraguay 4
SY - Repubblica araba siriana 4
BE - Belgio 3
CZ - Repubblica Ceca 3
EG - Egitto 3
JO - Giordania 3
KZ - Kazakistan 3
MY - Malesia 3
UY - Uruguay 3
AF - Afghanistan, Repubblica islamica di 2
AU - Australia 2
DO - Repubblica Dominicana 2
DZ - Algeria 2
EU - Europa 2
KE - Kenya 2
KR - Corea 2
LB - Libano 2
LV - Lettonia 2
PA - Panama 2
PH - Filippine 2
SK - Slovacchia (Repubblica Slovacca) 2
TH - Thailandia 2
TT - Trinidad e Tobago 2
AL - Albania 1
AM - Armenia 1
AO - Angola 1
AZ - Azerbaigian 1
BY - Bielorussia 1
CH - Svizzera 1
CI - Costa d'Avorio 1
CM - Camerun 1
CR - Costa Rica 1
ET - Etiopia 1
GA - Gabon 1
GD - Grenada 1
GE - Georgia 1
GR - Grecia 1
HN - Honduras 1
HU - Ungheria 1
IL - Israele 1
NG - Nigeria 1
PE - Perù 1
PT - Portogallo 1
RS - Serbia 1
SN - Senegal 1
TW - Taiwan 1
UZ - Uzbekistan 1
Totale 4.874
Città #
Dublin 299
Singapore 243
Ashburn 219
San Jose 215
Dallas 209
Hong Kong 194
The Dalles 178
Chandler 158
Council Bluffs 88
Boardman 78
Beijing 68
Rome 63
Hefei 57
Ho Chi Minh City 49
Los Angeles 46
Moscow 46
New York 36
São Paulo 32
Hanoi 29
Assago 28
Orem 27
Munich 25
Ogden 25
Santa Clara 25
Brooklyn 24
Lawrence 23
Princeton 23
Tokyo 21
Chennai 19
Helsinki 18
Naples 18
Lappeenranta 17
Toronto 17
Atlanta 16
Amsterdam 14
Frankfurt am Main 14
Jacksonville 14
Montreal 14
Nuremberg 14
Denver 13
Johannesburg 12
Chicago 11
Seattle 11
Stockholm 11
Wilmington 11
Houston 10
Poplar 10
Mexico City 9
Mumbai 9
Phoenix 9
Warsaw 9
Manchester 8
Milan 8
Pune 8
Buffalo 7
Cassino 7
Hangzhou 7
Izmir 7
London 7
Falkenstein 6
Jakarta 6
Shenzhen 6
Baghdad 5
Brandenburg 5
Cape Town 5
Caracas 5
Changsha 5
Chittagong 5
Da Nang 5
Guayaquil 5
Lahore 5
Nanjing 5
Ann Arbor 4
Bogotá 4
Charlotte 4
Copenhagen 4
Dearborn 4
Kathmandu 4
Kolkata 4
Kunming 4
Luxembourg 4
Querétaro 4
Ribeirão Preto 4
Rio de Janeiro 4
Ankara 3
Bauru 3
Birmingham 3
Boston 3
Boulder 3
Campinas 3
Carney 3
City of London 3
Clifton 3
Des Moines 3
Guangzhou 3
Harbin 3
Juneau 3
Montevideo 3
Nardò 3
New Delhi 3
Totale 3.051
Nome #
ALGORITMI DI APPRENDIMENTO AUTOMATICO NELL’IDRAULICA DEI MANUFATTI FOGNARI 155
APPLICAZIONE DELLA PIV-LIF ABBINATA AD ALGORITMI DI DISCRIMINAZIONE DELLE FASI PER LO STUDIO SPERIMENTALE DI FLUSSI BIFASE ARIA-ACQUA 135
A nonlinear autoregressive exogenous (NARX) model to predict nitrate concentration in rivers 132
Analysis of trends and abrupt changes in groundwater and meteorological droughts in the United Kingdom 125
Machine learning models in complex wastewater hydraulics problems 124
Air Entrainment in Drop Shafts: A Novel Approach Based on Machine Learning Algorithms and Hybrid Models 117
A Combined Seasonal Mann–Kendall and Innovative Approach for the Trend Analysis of Streamflow Rate in Two Croatian Rivers 116
A shadowgraphy approach for the 3D Lagrangian description of bubbly flows 114
Forecasting short- and medium-term streamflow using stacked ensemble models and different meta-learners 113
Groundwater level forecasting in Northern Bangladesh using nonlinear autoregressive exogenous (NARX) and extreme learning machine (ELM) neural networks 107
Experimental study of a vertical plunging jet by means of a volumetric shadowgraph technique 104
Artificial Intelligence models for prediction of the tide level in Venice 104
A Stacked Machine Learning Algorithm for Multi-Step Ahead Prediction of Soil Moisture 103
Advanced streamflow forecasting for Central European Rivers: The Cutting-Edge Kolmogorov-Arnold networks compared to Transformers 103
Deformation of air bubbles near a plunging jet using a machine learning approach 102
Two-Phase PIV-LIF Measurements in a Submerged Bubbly Water Jet 97
Forecasting evapotranspiration in different climates using ensembles of recurrent neural networks 95
River flow rate prediction in the Des Moines watershed (Iowa, USA): a machine learning approach 94
Hybrid Machine Learning Models for Soil Saturated Conductivity Prediction 94
Groundwater level prediction in Apulia region (Southern Italy) using NARX neural network 94
Equivalent Discharge Coefficient of Side Weirs in Circular Channel—A Lazy Machine Learning Approach 93
An optimized NARX-based model for predicting thermal dynamics and heatwaves in rivers 92
Advanced evapotranspiration forecasting in Central Italy: Stacked MLP-RF algorithm and correlated Nystrom views with feature selection strategies 89
Microplastics in combined sewer overflows: An experimental study 86
Analysis of SPI index trend variations in the United Kingdom - A cluster-based and bayesian ensemble algorithms approach 86
Assessing atmospheric influences for improving time-varying data-driven decadal predictions of Mediterranean spring discharge 86
A stacked machine learning model for multi-step ahead prediction of lake surface water temperature 84
Prediction of spring flows using nonlinear autoregressive exogenous (NARX) neural network models 84
Advanced monthly rainfall forecasting in Southern Lazio: Integrating climatic indices, classical or deep neural networks, and a feature selection algorithm 82
Fusion of diverse data sources for flood extent mapping and risk assessment in Sindh: A comparative study of inundation mapping approaches 79
Evapotranspiration Analysis in Central Italy: A Combined Trend and Clustering Approach 79
Forecasting of extreme storm tide events using narx neural network‐based models 79
A Combined Clustering and Trends Analysis Approach for Characterizing Reference Evapotranspiration in Veneto 78
Analysis, design, and maintenance of isolation valves in water distribution networks: State of the art review, insights from field experiences and future directions 77
Tide prediction in the venice lagoon using nonlinear autoregressive exogenous (Narx) neural network 75
Precipitation Forecasting in Northern Bangladesh Using a Hybrid Machine Learning Model 74
Experimental study of three in-line bubbles rising in still water by means of a three-dimensional (3D) shadowgraphy technique 74
Spatio-temporal analysis of drought in Southern Italy: a combined clustering-forecasting approach based on SPEI index and artificial intelligence algorithms 73
A novel additive regression model for streamflow forecasting in German rivers 72
Groundwater level prediction using machine learning algorithms in a drought-prone area 72
Neuroforecasting of daily streamflows in the UK for short- and medium-term horizons: A novel insight 71
Future trends of reference evapotranspiration in Sicily based on CORDEX data and Machine Learning algorithms 70
Long-term daily water temperatures unveil escalating water warming and intensifying heatwaves in the Odra river Basin, Central Europe 68
Experimental study of air-water two-phase jet: bubble size distribution and velocity measurements. 68
Stacked machine learning algorithms and bidirectional long short-term memory networks for multi-step ahead streamflow forecasting: A comparative study 66
Streamflow trends and flood frequency analysis: a regional study of the UK 64
A novel optimized model based on NARX networks for predicting thermal anomalies in Polish lakes during heatwaves, with special reference to the 2018 heatwave 63
Unraveling Drought Patterns and Abrupt Changes in the Western Alps: A Dual Index Approach 62
Forecasting maximal and minimal air temperatures using explainable machine learning: Shapley additive explanation versus local interpretable model-agnostic explanations 60
Prediction of daily river water temperatures using an optimized model based on NARX networks 55
Short-term forecasts of streamflow in the UK based on a novel hybrid artificial intelligence algorithm 54
Data-Driven Approaches for Quantitative and Qualitative Control of Urban Drainage Systems (Preliminary Results) 51
Characteristics of river heatwaves in the Vistula River basin, Europe 47
Dissolved oxygen forecasting in the Mississippi River: advanced ensemble machine learning models 44
Multi-step ahead groundwater level forecasting in Grand Est, France: Comparison between stacked machine learning model and radial basis function neural network 40
Financing the Future of Water: Unlocking Investment, Innovation, and Governance for Resilient Infrastructure in a Changing Climate 39
Hydrological extremes in the Mediterranean basin: interactions, impacts, and adaptation in the face of climate change 37
Rising threats to groundwater recharge: Adaptive strategies for the Sahel under climate change 36
Mapping drought evolution in Ethiopia: trends, clustering, and Bayesian estimation of abrupt changes 34
Improving the prediction of global solar radiation using interpretable boosting algorithms coupled SHAP and LIME analysis: a comparative study 24
Evolving drought dynamics in Barcelona: leveraging a Bayesian ensemble algorithm for insightful analysis and a bidirectional long short-term memory network for predictive modeling 23
Predicting water quality variables using gradient boosting machine: global versus local explainability using SHapley Additive Explanations (SHAP) 23
Diel temperature patterns unveiled: High-frequency monitoring and deep learning in Lake Kasumigaura 23
River Thermal Dynamics and Heatwaves of Polish Rivers Under Climate Change 22
Unveiling spatiotemporal patterns of compound hydrological droughts and river heatwaves in Poland 18
Modeling Coagulant Dosage in Water Treatment Plant Using Explainable Deep Learning Model–Based SHapley Additive exPlanations (SHAP) 18
Impact of extreme atmospheric heat events on river thermal dynamics and heatwaves 16
Decoding the architecture of drought: SHAP-enhanced insights into the climate forces reshaping the Sahel 16
Spatiotemporal analysis of the FWI over Europe and North Africa: Historical trends and climate projections under RCP4.5 and RCP8.5 16
Projected river water temperatures in Poland under climate change scenarios 16
Decoding groundwater level patterns and abrupt changes in Central and Southern California's alluvial regions 15
Pseudo multi-scaling model of intensity–duration–frequency (IDF) curves 8
Teleconnection-informed clustering of temporally compound hydroclimatic extremes in Europe: post-drought extreme rainfall probability and long-term trends 7
Actual evapotranspiration dynamics in Italy: trend detection and regional clustering analysis 7
Evaluating global precipitation datasets over Sicily: From daily estimates to extreme events 6
Refining Groundwater Level Prediction with Kolmogorov–Arnold Architectures: A Dual Temporal–Frequency Domain Perspective 6
Accurate and interpretable prediction of chemical oxygen demand using explainable boosting algorithms with SHAP analysis 5
Pathways for Hydrological Resilience: Strategies for Adaptation in a Changing Climate 5
Advancing fire weather forecasting: deep learning with Kolmogorov–Arnold and Fourier networks across Italy 4
null 4
The anatomy of drought in Italy: statistical signatures, spatiotemporal persistence, and forecasting potential 4
Totale 5.157
Categoria #
all - tutte 29.158
article - articoli 0
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 29.158


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/202128 0 0 0 0 0 0 0 0 0 0 0 28
2021/2022160 1 0 0 8 7 0 5 9 66 0 17 47
2022/2023777 42 74 27 31 35 131 0 50 332 7 32 16
2023/2024234 23 5 10 5 3 48 9 9 34 4 35 49
2024/20251.127 31 15 57 59 106 27 113 53 302 73 184 107
2025/20262.703 144 317 249 412 281 201 312 92 132 292 189 82
Totale 5.157