Iranian, Russian Researchers Cooperate on Exploration in Iron Mines
According to a report by the public relations department of Tehran-based Amirkabir University of Technology (AUT), Minerals which is a journal run by MDPI publications published a scientific article yielded from the joint research of scientists of AUT and the Russian Tomsk Polytechnic University in the field of mining exploration and geology. The title of th article is “Investigation of Magneto-/Radio-Metric Behavior in Order to Identify an Estimator Model Using K-Means Clustering and Artificial Neural Network (ANN) (Iron Ore Deposit, Yazd, IRAN).”
The researchers focused on an innovative artificial intelligence-based method for converting radiometric and magnetic data in an iron deposit that allows regional geological assessment of mineral distribution.
The case study of the research was an area near Tut District in Yazd province of Iran. This area was chosen due to the availability of exploration data and developed infrastructure.
The increase in radioactivity in iron ore sites in Iran bring the idea of conducting radiometric and magnetometric studies to the researchers’ minds. Based on geological observations, the presence of magnetic anomalies can have a complex relationship with the intense radioactivity of various elements.
The results of the joint research of Iranian and Russian scientists show that based on the magnetic behavior in the Tut District and the use of artificial neural network, it is possible to estimate the level of radioactivity in iron mines. The results of this research were published in the Minerals which is an international journal.
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