DETERMINATION OF TECHNOLOGICAL OXIDATION ZONES AT URANIUM DEPOSITS IN KAZAKHSTAN USING MACHINE LEARNING METHODS MACHINE LEARNING
K. Abramov; Institute of Information and Computational Technologies MSHE RK; Y. Kuchin; E. Mukhamedieva; N. Yunicheva; Institute of Information and Computational Technologies MSHE RK; Satbayev University (KazNRTU); Institute of Information and Computational Technologies MSHE RK; Institute of Information and Computational Technologies MSHE RK; Almaty University of Power Engineering and Telecommunications (AUPET)
- Published
- Publisher
- Republican State Enterprise "Kazhydromet"
- Journal / collection
- Hydrometeorology and Ecology
- Research area
- AI & compute
- Source type
- Journal article
- DOI
- 10.54668/2789-6323-2024-113-2-67-80
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Cite this source
K. Abramov; Institute of Information and Computational Technologies MSHE RK; Y. Kuchin; E. Mukhamedieva; N. Yunicheva; Institute of Information and Computational Technologies MSHE RK; Satbayev University (KazNRTU); Institute of Information and Computational Technologies MSHE RK; Institute of Information and Computational Technologies MSHE RK; Almaty University of Power Engineering and Telecommunications (AUPET). DETERMINATION OF TECHNOLOGICAL OXIDATION ZONES AT URANIUM DEPOSITS IN KAZAKHSTAN USING MACHINE LEARNING METHODS MACHINE LEARNING. Hydrometeorology and Ecology. 2024-07-24. https://doi.org/10.54668/2789-6323-2024-113-2-67-80