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Record
Title
Optimization of paper pulp production using Artificial Neural Networks and Simulated Annealing
Type
Student Paper
Publ. year
2014
Author/s
Sandkvist, Filip
Department/s
Computational Biology and Biological Physics - Has been reorganised
In LUP since
2014-04-29
Downloads

Total This Year This Month
774 79 5
 Downloads per Country

Germany
194 (25%)
United States of America
92 (12%)
Sweden
78 (10%)
India
48 (6%)
China
41 (5%)
Canada
23 (3%)
Indonesia
18 (2%)
Brazil
17 (2%)
Russian Federation
17 (2%)
Finland
15 (2%)
France
13 (2%)
United Kingdom of Great Britain and Northern Ireland
12 (2%)
Iran
10 (1%)
Philippines
10 (1%)
Thailand
9 (1%)
South Korea
9 (1%)
Netherlands (Kingdom of the)
9 (1%)
Turkiye
9 (1%)
Singapore
8 (1%)
South Africa
8 (1%)
Austria
8 (1%)
Spain
7 (1%)
Japan
7 (1%)
Ukraine
6 (1%)
Nigeria
6 (1%)
Australia
6 (1%)
Chile
5 (1%)
Malaysia
5 (1%)
Norway
5 (1%)
Mexico
5 (1%)
Iraq
4 (1%)
Colombia
4 (1%)
Egypt
4 (1%)
Viet Nam
4 (1%)
Unknown
4 (1%)
Poland
4 (1%)
Hong Kong (China)
3 (0%)
Ethiopia
3 (0%)
Portugal
3 (0%)
Pakistan
3 (0%)
Bulgaria
3 (0%)
Taiwan (China)
2 (0%)
Italy
2 (0%)
Argentina
2 (0%)
Ecuador
2 (0%)
Czechia
2 (0%)
Croatia
1 (0%)
Sudan
1 (0%)
Ghana
1 (0%)
Honduras
1 (0%)
Myanmar
1 (0%)
Paraguay
1 (0%)
Tanzania, the United Republic of
1 (0%)
Algeria
1 (0%)
Bonaire, Sint Eustatius and Saba
1 (0%)
Syrian Arab Republic
1 (0%)
Latvia
1 (0%)
Slovakia
1 (0%)
Morocco
1 (0%)
Denmark
1 (0%)
Saudi Arabia
1 (0%)
Ireland
1 (0%)
Greece
1 (0%)
Mongolia
1 (0%)
Switzerland
1 (0%)
Belgium
1 (0%)
Oman
1 (0%)
New Zealand
1 (0%)
Yemen
1 (0%)
Angola
1 (0%)
Bangladesh
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
2026-10-28 07:02:06