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Record
Title
Potential of using Machine learning Technology to predict site location of Burial Sites in the Åland Islands.
Type
Student Paper
Publ. year
2024
Author/s
Larsson, Andreas
Department/s
Archaeology
In LUP since
2024-09-16
Downloads

Total This Year This Month
1188 688 0
 Downloads per Country

United States of America
268 (23%)
China
178 (15%)
Sweden
136 (11%)
Singapore
98 (8%)
Australia
45 (4%)
Turkiye
38 (3%)
Germany
36 (3%)
Finland
36 (3%)
Spain
28 (2%)
India
27 (2%)
Brazil
26 (2%)
United Kingdom of Great Britain and Northern Ireland
23 (2%)
Mexico
22 (2%)
Hong Kong (China)
22 (2%)
France
19 (2%)
Ukraine
12 (1%)
Poland
10 (1%)
Czechia
9 (1%)
Viet Nam
8 (1%)
Philippines
8 (1%)
Argentina
8 (1%)
Unknown
7 (1%)
Japan
7 (1%)
Bangladesh
7 (1%)
Italy
6 (1%)
Colombia
6 (1%)
Latvia
5 (0%)
Peru
5 (0%)
Russian Federation
5 (0%)
Iraq
5 (0%)
Saudi Arabia
4 (0%)
Switzerland
4 (0%)
South Africa
3 (0%)
Lithuania
3 (0%)
Netherlands (Kingdom of the)
3 (0%)
Malaysia
3 (0%)
Pakistan
3 (0%)
Greece
3 (0%)
Taiwan (China)
2 (0%)
United Arab Emirates
2 (0%)
Estonia
2 (0%)
Åland Islands
2 (0%)
Algeria
2 (0%)
Romania
2 (0%)
Chile
2 (0%)
Egypt
2 (0%)
Indonesia
2 (0%)
Botswana
2 (0%)
Paraguay
2 (0%)
Norway
2 (0%)
Thailand
1 (0%)
Portugal
1 (0%)
Iceland
1 (0%)
Palestinian Territory
1 (0%)
Dominican Republic
1 (0%)
Nicaragua
1 (0%)
South Korea
1 (0%)
Nigeria
1 (0%)
Albania
1 (0%)
Iran
1 (0%)
Qatar
1 (0%)
Mauritius
1 (0%)
Myanmar
1 (0%)
Canada
1 (0%)
Denmark
1 (0%)
Uzbekistan
1 (0%)
Ireland
1 (0%)
Bahrain
1 (0%)
Slovenia
1 (0%)
Kenya
1 (0%)
Bulgaria
1 (0%)
Kuwait
1 (0%)
Costa Rica
1 (0%)
Venezuela
1 (0%)
Kyrgyzstan
1 (0%)
Israel
1 (0%)
Lebanon
1 (0%)
Slovakia
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
2026-09-23 07:00:47