Statistics for A machine learning approach for assessing sedimentological data's potential for in-situ gold grade prediction in the Witwatersrand basin, South Africa
Total visits
| views | |
|---|---|
| A machine learning approach for assessing sedimentological data's potential for in-situ gold grade prediction in the Witwatersrand basin, South Africa | 61 |
Total visits per month
| views | |
|---|---|
| October 2024 | 2 |
| November 2024 | 0 |
| December 2024 | 0 |
| January 2025 | 0 |
| February 2025 | 0 |
| March 2025 | 1 |
| April 2025 | 4 |
File Visits
| views | |
|---|---|
| 1612442_Mombe_Tariro_MSc_Dissertation.pdf | 73 |
Top country views
| views | |
|---|---|
| South Africa | 42 |
| Ghana | 4 |
| Bangladesh | 2 |
| Namibia | 2 |
| Saudi Arabia | 2 |
| Australia | 1 |
| United Kingdom | 1 |
| Indonesia | 1 |
| Singapore | 1 |
Top city views
| views | |
|---|---|
| Johannesburg | 21 |
| Pretoria | 4 |
| De Wildt | 3 |
| Jeddah | 2 |
| Strathavon | 2 |
| Windhoek | 2 |
| Bandung | 1 |
| Benoni | 1 |
| Dakhin Patenga | 1 |
| Dhaka | 1 |
| Lichfield | 1 |
| Nelspruit | 1 |
| Perth | 1 |
| Randfontein | 1 |
| Singapore | 1 |