Skip to main content
Record
Title
Classifying Sensor Data Using Recurrent Neural Networks
Type
Student Paper
Publ. year
2020
Author/s
Niles, Oscar
Department/s
Department of Automatic Control
In LUP since
2020-07-16
Downloads

Total This Year This Month
584 91 5
Downloads per country

United States of America 86 (15%)
Sweden 56 (10%)
China 55 (9%)
India 42 (7%)
Germany 41 (7%)
Netherlands (Kingdom of the) 23 (4%)
United Kingdom of Great Britain and Northern Ireland 17 (3%)
South Korea 16 (3%)
Russian Federation 14 (2%)
Turkiye 13 (2%)
France 13 (2%)
Indonesia 11 (2%)
Canada 11 (2%)
Spain 11 (2%)
Taiwan (China) 11 (2%)
Australia 9 (2%)
Hong Kong (China) 7 (1%)
Romania 7 (1%)
Italy 7 (1%)
Israel 6 (1%)
Czechia 6 (1%)
Kenya 6 (1%)
Finland 6 (1%)
Austria 6 (1%)
Poland 6 (1%)
Brazil 5 (1%)
Switzerland 5 (1%)
Saudi Arabia 5 (1%)
Pakistan 5 (1%)
Singapore 4 (1%)
Egypt 4 (1%)
Ireland 4 (1%)
Algeria 4 (1%)
Thailand 3 (1%)
Iceland 3 (1%)
Portugal 3 (1%)
Unknown 3 (1%)
Greece 3 (1%)
Denmark 3 (1%)
Malaysia 3 (1%)
Tunisia 3 (1%)
Hungary 2 (0%)
Norway 2 (0%)
Viet Nam 2 (0%)
Slovenia 2 (0%)
Japan 2 (0%)
Iraq 2 (0%)
Colombia 2 (0%)
Slovakia 2 (0%)
Iran 2 (0%)
Latvia 1 (0%)
Ethiopia 1 (0%)
Croatia 1 (0%)
Kuwait 1 (0%)
Serbia 1 (0%)
Chile 1 (0%)
Morocco 1 (0%)
New Zealand 1 (0%)
Bulgaria 1 (0%)
Moldova, The Republic of 1 (0%)
Ukraine 1 (0%)
Lithuania 1 (0%)
Philippines 1 (0%)
Argentina 1 (0%)
Ecuador 1 (0%)
Oman 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.

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
Wed Jul 17 08:57:33 2024