Statistics for Indoor Localization and Mapping Using Deep Learning Networks
Total visits
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Indoor Localization and Mapping Using Deep Learning Networks | 1023 |
Total visits per month
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June 2024 | 2 |
July 2024 | 3 |
August 2024 | 6 |
September 2024 | 1 |
October 2024 | 0 |
November 2024 | 6 |
December 2024 | 0 |
File Visits
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2017_Soni_Ravi_Thesis.pdf | 1027 |
2017_Soni_Ravi_Thesis.docx | 2 |
Top country views
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United States | 115 |
China | 36 |
Germany | 35 |
India | 34 |
South Korea | 34 |
Taiwan | 18 |
Sweden | 13 |
Vietnam | 13 |
Malaysia | 12 |
Russia | 12 |
Japan | 11 |
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Iraq | 9 |
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Hong Kong SAR China | 3 |
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Spain | 2 |
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Morocco | 2 |
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Portugal | 2 |
United Arab Emirates | 1 |
Armenia | 1 |
Australia | 1 |
Hungary | 1 |
Latvia | 1 |
Moldova | 1 |
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Serbia | 1 |
Saudi Arabia | 1 |
Thailand | 1 |
South Africa | 1 |
Top city views
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Boardman | 13 |
Tainan City | 11 |
Ashburn | 8 |
Ho Chi Minh City | 8 |
Seoul | 8 |
San Mateo | 7 |
Singapore | 7 |
Cairo | 6 |
Curitiba | 6 |
Kuala Lumpur | 6 |
San Jose | 6 |
Thessaloniki | 6 |
Bengaluru | 5 |
Rajagiriya | 5 |
Seattle | 5 |
Fremont | 4 |
Hanoi | 4 |
Karachi | 4 |
Moscow | 4 |
Mumbai | 4 |
Paris | 4 |
Taipei | 4 |
Zhengzhou | 4 |
Carbondale | 3 |
Chennai | 3 |
Cheonan | 3 |
Des Moines | 3 |
Jaipur | 3 |
Kirkuk | 3 |
Montreal | 3 |
Nanjing | 3 |
Norman | 3 |
Pleasanton | 3 |
Portici | 3 |
Shanghai | 3 |
Tel Aviv | 3 |
Ulsan | 3 |
Vienna | 3 |
Yongin-si | 3 |
Beirut | 2 |
Bogotá | 2 |
Brno | 2 |
Butterworth | 2 |
Castro Valley | 2 |
Colombo | 2 |
Columbus | 2 |
Cranfield | 2 |
Dallas | 2 |
Dublin | 2 |
Greenbelt | 2 |
Gross-Enzersdorf | 2 |
Gwangju | 2 |
Hyderabad | 2 |
Jeonju | 2 |
Kadima | 2 |
Livermore | 2 |
Ludhiana | 2 |
Munich | 2 |
Nador | 2 |
Nanchang | 2 |
New Delhi | 2 |
Noida | 2 |
Nuremberg | 2 |
Oak Park | 2 |
Ougree | 2 |
Padova | 2 |
Pasir Gudang | 2 |
Pittsburgh | 2 |
Seocho-gu | 2 |
Shenzhen | 2 |
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Varanasi | 2 |
Ajman | 1 |
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Baotou | 1 |
Basrah | 1 |
Beijing | 1 |
Berkeley | 1 |
Biysk | 1 |
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Doha | 1 |
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Frankfurt am Main | 1 |