statistiche ricercatore

Continente	#
NA - Nord America	731
EU - Europa	628
AS - Asia	598
SA - Sud America	97
Continente sconosciuto - Info sul continente non disponibili	48
AF - Africa	17
OC - Oceania	1
Totale	2.120

Nazione	#
US - Stati Uniti d'America	711
IT - Italia	231
SG - Singapore	187
VN - Vietnam	150
GB - Regno Unito	121
CN - Cina	90
BR - Brasile	77
RU - Federazione Russa	57
FR - Francia	56
DE - Germania	46
HK - Hong Kong	41
KR - Corea	39
IN - India	23
BE - Belgio	22
IE - Irlanda	21
CH - Svizzera	15
FI - Finlandia	15
CA - Canada	11
SE - Svezia	11
ID - Indonesia	10
MY - Malesia	8
AR - Argentina	7
NL - Olanda	7
PH - Filippine	6
TW - Taiwan	6
BD - Bangladesh	5
IQ - Iraq	5
BG - Bulgaria	4
EC - Ecuador	4
MA - Marocco	4
PL - Polonia	4
TR - Turchia	4
UA - Ucraina	4
AT - Austria	3
ES - Italia	3
IL - Israele	3
JP - Giappone	3
KE - Kenya	3
MX - Messico	3
PK - Pakistan	3
PY - Paraguay	3
SN - Senegal	3
TH - Thailandia	3
ZA - Sudafrica	3
CL - Cile	2
CW - ???statistics.table.value.countryCode.CW???	2
DZ - Algeria	2
IR - Iran	2
JM - Giamaica	2
PE - Perù	2
RO - Romania	2
AE - Emirati Arabi Uniti	1
AU - Australia	1
AZ - Azerbaigian	1
BH - Bahrain	1
BO - Bolivia	1
BY - Bielorussia	1
CR - Costa Rica	1
CZ - Repubblica Ceca	1
EG - Egitto	1
ET - Etiopia	1
GR - Grecia	1
JO - Giordania	1
KG - Kirghizistan	1
LB - Libano	1
LT - Lituania	1
NI - Nicaragua	1
NO - Norvegia	1
NP - Nepal	1
OM - Oman	1
PR - Porto Rico	1
RS - Serbia	1
SA - Arabia Saudita	1
SV - El Salvador	1
UY - Uruguay	1
UZ - Uzbekistan	1
Totale	2.074

Nome	#
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead	318
An Updated Survey of Efficient Hardware Architectures for Accelerating Deep Convolutional Neural Networks	285
A Fast Design Space Exploration Framework for the Deep Learning Accelerators: Work-in-Progress	206
NASCaps: A Framework for Neural Architecture Search to Optimize the Accuracy and Hardware Efficiency of Convolutional Capsule Networks	186
FasTrCaps: An Integrated Framework for Fast yet Accurate Training of Capsule Networks	181
Techniques and Optimization Strategies for Efficient Hardware Acceleration of Neural Networks: Tap-Wisely-Quantized Winograd Algorithm and Capsule Networks	181
NLCMAP: A Framework for the Efficient Mapping of Non-Linear Convolutional Neural Networks on FPGA Accelerators	176
Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks	176
RoHNAS: A Neural Architecture Search Framework with Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks	143
Enabling Capsule Networks at the Edge through Approximate Softmax and Squash Operations	140
Going Further With Winograd Convolutions: Tap-Wise Quantization for Efficient Inference on 4x4 Tile	128
Totale	2.120

	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2021/2022	184	0	0	0	17	11	18	4	7	17	18	40	52
2022/2023	282	15	32	31	40	48	36	22	12	20	3	6	17
2023/2024	122	8	23	6	12	11	13	4	12	7	11	7	8
2024/2025	360	9	39	15	39	42	49	41	39	26	9	17	35
2025/2026	777	54	48	42	58	37	58	91	58	188	90	29	24
2026/2027	130	13	24	49	44	0	0	0	0	0	0	0	0
Totale													2.120

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