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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
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Total This Year This Month
1879 109 0
Downloads per country

China 381 (20%)
United States of America 232 (12%)
India 164 (9%)
Sweden 126 (7%)
Taiwan (China) 90 (5%)
Russian Federation 75 (4%)
South Korea 73 (4%)
Czechia 71 (4%)
Japan 59 (3%)
Germany 52 (3%)
Egypt 37 (2%)
Hong Kong (China) 36 (2%)
France 34 (2%)
Singapore 34 (2%)
Viet Nam 33 (2%)
Greece 25 (1%)
United Kingdom of Great Britain and Northern Ireland 24 (1%)
Indonesia 22 (1%)
Iran 20 (1%)
Netherlands (Kingdom of the) 16 (1%)
Italy 16 (1%)
Serbia 14 (1%)
Ukraine 14 (1%)
Brazil 13 (1%)
Pakistan 13 (1%)
Canada 12 (1%)
Unknown 11 (1%)
Malaysia 10 (1%)
Philippines 10 (1%)
Turkiye 10 (1%)
Sri Lanka 9 (0%)
Australia 9 (0%)
Spain 9 (0%)
Mexico 7 (0%)
Morocco 7 (0%)
Ireland 7 (0%)
Chile 7 (0%)
Iraq 6 (0%)
Slovenia 5 (0%)
Denmark 5 (0%)
Israel 5 (0%)
Portugal 5 (0%)
Saudi Arabia 5 (0%)
Finland 5 (0%)
Algeria 5 (0%)
Colombia 4 (0%)
Austria 4 (0%)
Nigeria 4 (0%)
Hungary 3 (0%)
Switzerland 3 (0%)
Thailand 3 (0%)
Cote d'Ivoire 3 (0%)
Poland 3 (0%)
Belgium 2 (0%)
New Zealand 2 (0%)
Romania 2 (0%)
United Arab Emirates 2 (0%)
Uzbekistan 2 (0%)
South Africa 2 (0%)
Tunisia 2 (0%)
Norway 2 (0%)
Kenya 1 (0%)
Sudan 1 (0%)
Niger 1 (0%)
Bangladesh 1 (0%)
Bulgaria 1 (0%)
Lebanon 1 (0%)
Peru 1 (0%)
Cambodia 1 (0%)
Argentina 1 (0%)
Albania 1 (0%)
Lithuania 1 (0%)
Ethiopia 1 (0%)
Nepal 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 fulltexts. Efforts have been made to exclude downloads by robots and track irregular download activities.

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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
Sat Aug 2 08:44:02 2025