Statistics for An efficient machine learning-based model to effectively classify the type of noises in QR code: A hybrid approach
Total visits
| views | |
|---|---|
| An efficient machine learning-based model to effectively classify the type of noises in QR code: A hybrid approach | 76 |
Total visits per month
| views | |
|---|---|
| December 2024 | 0 |
| January 2025 | 0 |
| February 2025 | 0 |
| March 2025 | 0 |
| April 2025 | 0 |
| May 2025 | 0 |
| June 2025 | 0 |
File Visits
| views | |
|---|---|
| RS_26507_An Efficient Machine Learning Based Model to Effectively Classify the Type of Noises in QR Code A Hybrid Approach_202210.pdf | 54 |
Top country views
| views | |
|---|---|
| United States | 37 |
| China | 12 |
| India | 9 |
| Vietnam | 7 |
| Bulgaria | 3 |
| Germany | 2 |
| Russia | 2 |
| Australia | 1 |
| Singapore | 1 |
| South Africa | 1 |
Top city views
| views | |
|---|---|
| Bengaluru | 9 |
| Hanoi | 7 |
| Fullerton | 4 |
| Quzhou | 2 |
| Balashikha | 1 |
| Beijing | 1 |
| Belmont | 1 |
| Boardman | 1 |
| Brisbane | 1 |
| Fengxian | 1 |
| Moscow | 1 |
| Piscataway | 1 |
| Sanming | 1 |
| Shanghai | 1 |
| Shenyang | 1 |
| Singapore | 1 |
| Stuttgart | 1 |