FERRETTI, JACOPO
 Distribuzione geografica
Continente #
AS - Asia 347
EU - Europa 165
NA - Nord America 31
AF - Africa 1
Totale 544
Nazione #
VN - Vietnam 341
IT - Italia 56
GB - Regno Unito 45
US - Stati Uniti d'America 31
CZ - Repubblica Ceca 14
IE - Irlanda 13
RU - Federazione Russa 13
DE - Germania 7
FR - Francia 6
PT - Portogallo 4
JP - Giappone 2
NO - Norvegia 2
RO - Romania 2
UA - Ucraina 2
CN - Cina 1
DZ - Algeria 1
FI - Finlandia 1
IR - Iran 1
SG - Singapore 1
TR - Turchia 1
Totale 544
Città #
Dong Ket 341
Southend 45
Dublin 13
Torino 13
Messina 4
Grafing 3
Fairfield 2
Houston 2
Palo Alto 2
Phoenix 2
Rome 2
Stavanger 2
Timisoara 2
Tokyo 2
Andover 1
Ann Arbor 1
Antony 1
Aosta 1
Bari 1
Beijing 1
Biella 1
Dallas 1
Fremont 1
Hartford 1
Helsinki 1
Hildesheim 1
Izmir 1
Jijelli 1
Kish 1
Monmouth Junction 1
Montichiari 1
Nuremberg 1
Pioltello 1
San Donato Milanese 1
San Giovanni in Persiceto 1
Sannicandro di Bari 1
Santa Clara 1
Seattle 1
Washington 1
Totale 460
Nome #
1-D Convolutional Neural Network for ECG Arrhythmia Classification, file e384c431-1b62-d4b2-e053-9f05fe0a1d67 318
A wearable smart device to monitor multiple vital parameters—VITAL ECG, file e384c431-b4d9-d4b2-e053-9f05fe0a1d67 121
Towards Uncovering Feature Extraction from Temporal Signals in Deep CNN: The ECG Case Study, file e384c432-e3fc-d4b2-e053-9f05fe0a1d67 65
Anytime ecg monitoring through the use of a low-cost, user-friendly, wearable device, file e384c433-e1da-d4b2-e053-9f05fe0a1d67 38
1-D Convolutional Neural Network for ECG Arrhythmia Classification, file e384c432-892d-d4b2-e053-9f05fe0a1d67 8
1-D Convolutional Neural Network for ECG Arrhythmia Classification, file e384c432-5987-d4b2-e053-9f05fe0a1d67 1
Towards Uncovering Feature Extraction from Temporal Signals in Deep CNN: The ECG Case Study, file e384c432-e3fb-d4b2-e053-9f05fe0a1d67 1
Totale 552
Categoria #
all - tutte 787
article - articoli 229
book - libri 0
conference - conferenze 101
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 457
Totale 1.574


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/202010 0 0 0 0 0 0 0 0 4 2 2 2
2020/2021396 3 4 1 8 8 2 2 2 15 3 6 342
2021/2022104 4 4 7 5 11 17 6 8 9 9 21 3
2022/202337 4 7 2 2 4 11 7 0 0 0 0 0
2023/20245 0 0 0 0 0 1 0 2 1 1 0 0
Totale 552