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Predicting Daily Air Pollution Index Based on Fuzzy Time Series Markov Chain Model.
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- Symmetry (20738994), 2020, v. 12, n. 2, p. 293, doi. 10.3390/sym12020293
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- Article
Modeling the stochastic dependence of air pollution index data.
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- Stochastic Environmental Research & Risk Assessment, 2018, v. 32, n. 6, p. 1603, doi. 10.1007/s00477-017-1443-7
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- Article
Bayesian Information Criterion for Fitting the Optimum Order of Markov Chain Models: Methodology and Application to Air Pollution Data.
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- Mathematics (2227-7390), 2022, v. 10, n. 13, p. 2280, doi. 10.3390/math10132280
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- Article
Projected Moisture Index (MI) for Tropical Sri Lanka.
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- Advances in Civil Engineering, 2021, p. 1, doi. 10.1155/2021/2761935
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- Article
Optimum Volume Fraction and Inlet Temperature of an Ideal Nanoparticle for Enhanced Oil Recovery by Nanofluid Flooding in a Porous Medium.
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- Processes, 2023, v. 11, n. 2, p. 401, doi. 10.3390/pr11020401
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- Article
A Novel One-Dimensional CNN with Exponential Adaptive Gradients for Air Pollution Index Prediction.
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- Sustainability (2071-1050), 2020, v. 12, n. 23, p. 10090, doi. 10.3390/su122310090
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- Article
New Application of Fuzzy Markov Chain Modeling for Air Pollution Index Estimation.
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- Water, Air & Soil Pollution, 2021, v. 232, n. 7, p. 1, doi. 10.1007/s11270-021-05172-6
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- Article
Correction to: Modeling the spatio-temporal dynamics of air pollution index based on spatial Markov chain model.
- Published in:
- 2020
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- Correction Notice
Modeling the spatio-temporal dynamics of air pollution index based on spatial Markov chain model.
- Published in:
- Environmental Monitoring & Assessment, 2020, v. 192, n. 11, p. 1, doi. 10.1007/s10661-020-08666-8
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- Publication type:
- Article
Thermophysical Properties of Nanofluid in Two-Phase Fluid Flow through a Porous Rectangular Medium for Enhanced Oil Recovery.
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- Nanomaterials (2079-4991), 2022, v. 12, n. 6, p. 1011, doi. 10.3390/nano12061011
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- Article
Markov Weighted Fuzzy Time-Series Model Based on an Optimum Partition Method for Forecasting Air Pollution.
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- International Journal of Fuzzy Systems, 2020, v. 22, n. 5, p. 1468, doi. 10.1007/s40815-020-00841-w
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- Publication type:
- Article