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Research Publication
Predicting Industrial Copper Hydrometallurgy Output with Deep Learning Approach Using Data Augmentation
MineralsJun 30, 20259 OpenAlex citationsMatched to OpenAlex
DOI: 10.3390/min15070702
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Matched to OpenAlexNo abstract is available yet. The publication is shown because it is linked to an approved public researcher profile.
Extraction and Separation ProcessesStock Market Forecasting MethodsHydrological Forecasting Using AIcopper hydrometallurgyrecurrent neural networksbidirectional LSTMattention-based LSTMGRU
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