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Record
Title
Implementation of an 8-bit Dynamic Fixed-Point Convolutional Neural Network for Human Sign Language Recognition on a Xilinx FPGA Board
Type
Student Paper
Publ. year
2019
Author/s
Núñez-Prieto, Ricardo
Department/s
Department of Electrical and Information Technology
In LUP since
2019-03-25
Downloads

Total This Year This Month
2209 235 0
 Downloads per Country

China
410 (19%)
United States of America
367 (17%)
India
176 (8%)
Sweden
133 (6%)
Taiwan (China)
93 (4%)
Russian Federation
81 (4%)
Czechia
77 (3%)
South Korea
73 (3%)
Japan
60 (3%)
Germany
58 (3%)
Singapore
58 (3%)
Hong Kong (China)
46 (2%)
Viet Nam
41 (2%)
France
40 (2%)
Egypt
38 (2%)
United Kingdom of Great Britain and Northern Ireland
36 (2%)
Greece
25 (1%)
Iran
23 (1%)
Brazil
22 (1%)
Indonesia
22 (1%)
Italy
20 (1%)
Australia
18 (1%)
Netherlands (Kingdom of the)
17 (1%)
Canada
16 (1%)
Ukraine
16 (1%)
Pakistan
14 (1%)
Serbia
14 (1%)
Unknown
13 (1%)
Spain
13 (1%)
Philippines
11 (0%)
Malaysia
11 (0%)
Turkiye
11 (0%)
Mexico
10 (0%)
Sri Lanka
9 (0%)
Morocco
8 (0%)
Ireland
7 (0%)
Iraq
7 (0%)
Chile
7 (0%)
Israel
6 (0%)
South Africa
6 (0%)
Slovenia
5 (0%)
Saudi Arabia
5 (0%)
Denmark
5 (0%)
Switzerland
5 (0%)
Finland
5 (0%)
Portugal
5 (0%)
Algeria
5 (0%)
Austria
4 (0%)
Nigeria
4 (0%)
Poland
4 (0%)
Cote d'Ivoire
3 (0%)
Tunisia
3 (0%)
Bangladesh
3 (0%)
Thailand
3 (0%)
United Arab Emirates
3 (0%)
Latvia
3 (0%)
Colombia
3 (0%)
Hungary
3 (0%)
New Zealand
2 (0%)
Norway
2 (0%)
Uzbekistan
2 (0%)
Belgium
2 (0%)
Romania
2 (0%)
Lithuania
2 (0%)
Sudan
1 (0%)
Lebanon
1 (0%)
Argentina
1 (0%)
Paraguay
1 (0%)
Cambodia
1 (0%)
Albania
1 (0%)
Bulgaria
1 (0%)
Kazakhstan
1 (0%)
Ethiopia
1 (0%)
Nepal
1 (0%)
Kenya
1 (0%)
Peru
1 (0%)
Niger
1 (0%)
About
The download statistics shown here have been collected since the launch of LUP in October 2007 and are updated every night. Statistics are available for all records with open access full-texts. Efforts have been made to exclude downloads by robots and track irregular download activities.

About accessibility

Disclaimer
The information on downloads per country is based on the geolocation of IP addresses and may not be completely accurate. The statistics presented here may also change retroactively when the calculation process is improved to provide more accurate results.

Statistics Last Updated
2026-05-28 12:58:00