KHODOR, MAHDI
Distribuzione geografica
Continente | # |
---|---|
EU - Europa | 81 |
AS - Asia | 68 |
NA - Nord America | 32 |
AF - Africa | 2 |
Totale | 183 |
Nazione | # |
---|---|
IT - Italia | 28 |
US - Stati Uniti d'America | 26 |
LB - Libano | 19 |
IN - India | 17 |
GB - Regno Unito | 15 |
FR - Francia | 10 |
UA - Ucraina | 8 |
JP - Giappone | 6 |
CA - Canada | 5 |
SA - Arabia Saudita | 5 |
HK - Hong Kong | 4 |
NL - Olanda | 4 |
VN - Vietnam | 4 |
BE - Belgio | 3 |
CN - Cina | 3 |
HR - Croazia | 3 |
IR - Iran | 3 |
AZ - Azerbaigian | 2 |
GR - Grecia | 2 |
DE - Germania | 1 |
DO - Repubblica Dominicana | 1 |
EG - Egitto | 1 |
FI - Finlandia | 1 |
IE - Irlanda | 1 |
IL - Israele | 1 |
IQ - Iraq | 1 |
MY - Malesia | 1 |
PL - Polonia | 1 |
PT - Portogallo | 1 |
RO - Romania | 1 |
RU - Federazione Russa | 1 |
SE - Svezia | 1 |
TG - Togo | 1 |
TR - Turchia | 1 |
YE - Yemen | 1 |
Totale | 183 |
Città | # |
---|---|
Torino | 10 |
Kyiv | 8 |
Southend | 6 |
Columbus | 5 |
Kamiisshiki | 5 |
Riyadh | 5 |
Turin | 5 |
Chennai | 4 |
Gloucester | 4 |
Hanoi | 4 |
Houston | 4 |
Orinda | 4 |
Delhi | 3 |
Erode | 3 |
Mol | 3 |
Antibes | 2 |
Baku | 2 |
Beirut | 2 |
Islington | 2 |
Milan | 2 |
Paris | 2 |
Rotterdam | 2 |
Sunnyvale | 2 |
Tacoma | 2 |
Velika Gorica | 2 |
Amstelveen | 1 |
Amsterdam | 1 |
Angers | 1 |
Baghdad | 1 |
Binasco | 1 |
Brescia | 1 |
Buffalo | 1 |
Centro | 1 |
Château-gontier | 1 |
Council Bluffs | 1 |
Dublin | 1 |
Edmonton | 1 |
Florence | 1 |
Great Malvern | 1 |
Guelph | 1 |
Helsinki | 1 |
Imam | 1 |
Istanbul | 1 |
Koropi | 1 |
Kuala Lumpur | 1 |
Lisbon | 1 |
New Delhi | 1 |
Nūzvīd | 1 |
Rochester | 1 |
Samara | 1 |
San Donato Milanese | 1 |
Santo Domingo Este | 1 |
Shanghai | 1 |
Shenyang | 1 |
Skokie | 1 |
Sondrio | 1 |
Southwark | 1 |
Tokyo | 1 |
Toronto | 1 |
University Park | 1 |
Warsaw | 1 |
Wuhan | 1 |
Zagreb | 1 |
Totale | 131 |
Nome | # |
---|---|
Landmine detection using hyper-spectral imaging, file e384c433-d47f-d4b2-e053-9f05fe0a1d67 | 94 |
RBF Neural Network for Landmine Detection in Hyperspectral Imaging, file e384c430-b467-d4b2-e053-9f05fe0a1d67 | 80 |
Landmine detection using hyper-spectral imaging, file e384c433-d015-d4b2-e053-9f05fe0a1d67 | 10 |
Landmines, file e384c42f-887d-d4b2-e053-9f05fe0a1d67 | 1 |
Multicriteria classification method for dimensionality reduction adapted to hyperspectral images, file e384c431-3ebc-d4b2-e053-9f05fe0a1d67 | 1 |
Landmine detection in hyperspectral images based on pixel intensity, file e384c432-bc20-d4b2-e053-9f05fe0a1d67 | 1 |
Landmine detection in hyperspectral images based on pixel intensity, file e384c432-c157-d4b2-e053-9f05fe0a1d67 | 1 |
Totale | 188 |
Categoria | # |
---|---|
all - tutte | 375 |
article - articoli | 8 |
book - libri | 0 |
conference - conferenze | 117 |
curatela - curatele | 0 |
other - altro | 0 |
patent - brevetti | 0 |
selected - selezionate | 0 |
volume - volumi | 0 |
Totale | 500 |
Totale | Lug | Ago | Sett | Ott | Nov | Dic | Gen | Feb | Mar | Apr | Mag | Giu | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2018/2019 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 |
2019/2020 | 19 | 1 | 0 | 2 | 2 | 2 | 1 | 7 | 2 | 1 | 0 | 0 | 1 |
2020/2021 | 31 | 0 | 4 | 1 | 0 | 10 | 0 | 6 | 2 | 2 | 0 | 4 | 2 |
2021/2022 | 20 | 1 | 1 | 10 | 5 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 0 |
2022/2023 | 11 | 1 | 0 | 1 | 0 | 5 | 2 | 0 | 0 | 1 | 1 | 0 | 0 |
2023/2024 | 88 | 0 | 0 | 0 | 0 | 5 | 6 | 9 | 11 | 16 | 28 | 13 | 0 |
Totale | 188 |