ZEDDA, MARIA KATIUSCIA
 Distribuzione geografica
Continente #
EU - Europa 12.998
NA - Nord America 919
AS - Asia 169
Continente sconosciuto - Info sul continente non disponibili 3
Totale 14.089
Nazione #
IT - Italia 12.678
US - Stati Uniti d'America 913
UA - Ucraina 131
CN - Cina 122
SE - Svezia 74
DE - Germania 33
FI - Finlandia 29
GB - Regno Unito 29
SG - Singapore 26
IN - India 19
BE - Belgio 12
CA - Canada 6
FR - Francia 6
EU - Europa 3
CH - Svizzera 2
RU - Federazione Russa 2
TR - Turchia 2
ES - Italia 1
GR - Grecia 1
Totale 14.089
Città #
Cagliari 12.414
Uta 216
Ann Arbor 122
Woodbridge 97
Chandler 91
Jacksonville 74
Fairfield 70
Ashburn 64
Boardman 52
Nyköping 51
Dearborn 47
Wilmington 39
Cambridge 38
Houston 34
Seattle 34
Shanghai 22
Pune 19
Santa Clara 19
Nanjing 16
Beijing 13
Brussels 12
Sassari 12
Boston 11
Nanchang 11
Helsinki 10
Singapore 10
Shenyang 8
Changsha 6
Guangzhou 6
Redwood City 6
Toronto 6
Auburn Hills 5
Hebei 5
Hangzhou 4
Hefei 4
Norwalk 4
Orange 4
Tianjin 4
Jiaxing 3
Jinan 3
Kunming 3
Los Angeles 3
Milan 3
Zhengzhou 3
Istanbul 2
London 2
Millbury 2
Ningbo 2
Romainville 2
San Diego 2
Taizhou 2
Athína 1
Augusta 1
Borås 1
Carbonia 1
Chongqing 1
Dalian 1
Frankfurt am Main 1
Fremont 1
Fuzhou 1
Madrid 1
Mountain View 1
New York 1
Palo Alto 1
Redmond 1
Saint Cloud 1
Saint Petersburg 1
Shaoxing 1
Turin 1
Wuhan 1
Totale 13.711
Nome #
Neural Networks for monitoring groundwater 1.184
River flow forecasting using neural networks and wavelet analysis 1.124
Geometrical Kernel Machine for Prediction and Novelty Detection of Disruptive Events in TOKAMAK Machines 850
Operational Space Mapping at ASDEX Upgrade using Clustering Techniques 837
Dynamic behaviour of type I Edge Localized Modes in the JET 836
Disruption prediction at ASDEX Upgrade using neural networks 828
River flow forecasting using neural networks and wavelet analysis 806
Neural approaches to disruption prediction at JET 790
A prediction tool for real-time application in the disruption protection system at JET 787
Automatic disruption classification at JET: comparison of different pattern recognition techniques 769
Support Vector Machines for disruption prediction and novelty detection at JET 675
An example of a new approach for the development of Disruption Protection Tools for JET: the mode-lock disruption class 657
Support Vector Machines for the disruption prediction and novelty detection at JET 650
Progress in disruption forecasting at JET using neural networks 601
Novelty Detection for on-line disruption prediction systems 552
Disruption classification at JET with neural techniques 551
Synchronous ELM Pacing at JET using the Vertical Stabilisation Controller 487
Fuzzy Logic and Support Vector Machine Approaches to Regime Identification in JET 466
null 454
Dynamic Neural Networks for Prediction of Disruptions in Fusion Reactors (Tokamaks) 205
Totale 14.109
Categoria #
all - tutte 18.843
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 18.843


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/20201.322 0 0 0 0 0 547 342 91 77 48 86 131
2020/20214.027 173 145 172 1.203 840 462 392 243 52 183 106 56
2021/2022759 58 48 50 54 44 40 181 63 38 29 36 118
2022/20231.006 199 192 126 66 61 79 30 93 46 38 30 46
2023/20241.289 65 55 71 102 139 239 210 72 50 105 100 81
2024/2025782 66 175 214 201 120 6 0 0 0 0 0 0
Totale 14.109