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Encoder–Decoder Convolutional Neural Networks for Flow Modeling in Unsaturated Porous Media: Forward and Inverse Approaches.
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- Water (20734441), 2023, v. 15, n. 16, p. 2890, doi. 10.3390/w15162890
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- Article
Implementing Spectral Decomposition of Time Series Data in Artificial Neural Networks to Predict Air Pollutant Concentrations.
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- Environmental Engineering Science, 2015, v. 32, n. 5, p. 379, doi. 10.1089/ees.2014.0350
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- Article
Predicting hourly air pollutant levels using artificial neural networks coupled with uncertainty analysis by Monte Carlo simulations.
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- Environmental Science & Pollution Research, 2013, v. 20, n. 7, p. 4777, doi. 10.1007/s11356-012-1451-6
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- Article
Phosphorus removal and recovery: state of the science and challenges.
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- Environmental Science & Pollution Research, 2022, v. 29, n. 39, p. 58561, doi. 10.1007/s11356-022-21637-5
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- Article