Found: 27
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A stochastic approach to the characterization of the seismic sources: a potential method for the assessment of sources of historical and paleo tsunami.
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- Stochastic Environmental Research & Risk Assessment, 2023, v. 37, n. 7, p. 2399, doi. 10.1007/s00477-023-02397-1
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- Article
Non-carcinogenic health risk assessment and predicting of pollution indexing of groundwater around Osisioma, Nigeria, using artificial neural networks and multi-linear modeling principles.
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- Stochastic Environmental Research & Risk Assessment, 2023, v. 37, n. 7, p. 2413, doi. 10.1007/s00477-023-02398-0
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- Article
Quantifying the weekly cycle effect of air pollution in cities of China.
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- Stochastic Environmental Research & Risk Assessment, 2023, v. 37, n. 7, p. 2445, doi. 10.1007/s00477-023-02399-z
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- Article
Enhanced flushing in long emergent vegetation with two flow parallel interfaces: simulation and predictive modeling at moderate Reynolds number.
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- Stochastic Environmental Research & Risk Assessment, 2023, v. 37, n. 7, p. 2459, doi. 10.1007/s00477-023-02400-9
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An automatic quality evaluation procedure for third-party daily rainfall observations and its application over Australia.
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- Stochastic Environmental Research & Risk Assessment, 2023, v. 37, n. 7, p. 2473, doi. 10.1007/s00477-023-02401-8
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- Article
Quantitative source identification, risk assessment and pollution of heavy metals in soils around a typical Sb smelter in central and southern China.
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- Stochastic Environmental Research & Risk Assessment, 2023, v. 37, n. 7, p. 2495, doi. 10.1007/s00477-023-02402-7
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- Article
Proposing an ensemble machine learning based drought vulnerability index using M5P, dagging, random sub-space and rotation forest models.
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- Stochastic Environmental Research & Risk Assessment, 2023, v. 37, n. 7, p. 2513, doi. 10.1007/s00477-023-02403-6
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An integrated assessment of extreme hydrometeorological events in Bangladesh.
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- Stochastic Environmental Research & Risk Assessment, 2023, v. 37, n. 7, p. 2541, doi. 10.1007/s00477-023-02404-5
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- Article
Predict water quality using an improved deep learning method based on spatiotemporal feature correlated: a case study of the Tanghe Reservoir in China.
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- Stochastic Environmental Research & Risk Assessment, 2023, v. 37, n. 7, p. 2563, doi. 10.1007/s00477-023-02405-4
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- Article
The increasing risk of future simultaneous droughts over the Yangtze River basin based on CMIP6 models.
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- Stochastic Environmental Research & Risk Assessment, 2023, v. 37, n. 7, p. 2577, doi. 10.1007/s00477-023-02406-3
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- Article
Gradient free stochastic training of ANNs, with local approximation in partitions.
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- Stochastic Environmental Research & Risk Assessment, 2023, v. 37, n. 7, p. 2603, doi. 10.1007/s00477-023-02407-2
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Changing correlations: a flexible definition of non-Gaussian multivariate dependence.
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- Stochastic Environmental Research & Risk Assessment, 2023, v. 37, n. 7, p. 2619, doi. 10.1007/s00477-023-02408-1
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- Article
A new simulation algorithm for more precise estimates of change in catastrophe risk models, with application to hurricanes and climate change.
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- Stochastic Environmental Research & Risk Assessment, 2023, v. 37, n. 7, p. 2631, doi. 10.1007/s00477-023-02409-0
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Informational predictability, and an application to the intensity of high-resolution temporal rainfall.
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- Stochastic Environmental Research & Risk Assessment, 2023, v. 37, n. 7, p. 2651, doi. 10.1007/s00477-023-02410-7
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Analysing and predicting the fine-scale distribution of traffic particulate matter in urban nonmotorized lanes by using wavelet transform and random forest methods.
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- Stochastic Environmental Research & Risk Assessment, 2023, v. 37, n. 7, p. 2657, doi. 10.1007/s00477-023-02411-6
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Projections of future fire risk under climate change over the South African savanna.
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- Stochastic Environmental Research & Risk Assessment, 2023, v. 37, n. 7, p. 2677, doi. 10.1007/s00477-023-02412-5
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- Article
Spatiotemporal characteristics of extreme hydrometeorological events and its potential influencing factors in the Huaihe River Basin, China.
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- Stochastic Environmental Research & Risk Assessment, 2023, v. 37, n. 7, p. 2693, doi. 10.1007/s00477-023-02413-4
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- Article
An analysis of temperature anomalies in Chile using fractional integration.
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- Stochastic Environmental Research & Risk Assessment, 2023, v. 37, n. 7, p. 2713, doi. 10.1007/s00477-023-02414-3
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Identification of contaminant source and hydraulic conductivity field based on an ILUES-SOM surrogate model.
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- Stochastic Environmental Research & Risk Assessment, 2023, v. 37, n. 7, p. 2725, doi. 10.1007/s00477-023-02415-2
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Nonlinear and periodic dynamics of chaotic hydro-thermal process of Skokomish river.
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- Stochastic Environmental Research & Risk Assessment, 2023, v. 37, n. 7, p. 2739, doi. 10.1007/s00477-023-02416-1
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Flood-based critical sub-watershed mapping: comparative application of multi-criteria decision making methods and hydrological modeling approach.
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- Stochastic Environmental Research & Risk Assessment, 2023, v. 37, n. 7, p. 2757, doi. 10.1007/s00477-023-02417-0
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Earthquake and rainfall-induced landslide hazard assessment of Kutupalong Rohingya camp using meteorological and geological information.
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- Stochastic Environmental Research & Risk Assessment, 2023, v. 37, n. 7, p. 2777, doi. 10.1007/s00477-023-02418-z
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Multilayer perceptron-based predictive model using wavelet transform for the reconstruction of missing rainfall data.
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- Stochastic Environmental Research & Risk Assessment, 2023, v. 37, n. 7, p. 2791, doi. 10.1007/s00477-023-02471-8
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Uncertainty quantification for disaster modelling: flooding as a case study.
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- Stochastic Environmental Research & Risk Assessment, 2023, v. 37, n. 7, p. 2803, doi. 10.1007/s00477-023-02419-y
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A conditional machine learning classification approach for spatio-temporal risk assessment of crime data.
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- Stochastic Environmental Research & Risk Assessment, 2023, v. 37, n. 7, p. 2815, doi. 10.1007/s00477-023-02420-5
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Probabilistic modeling of long-term joint wind and wave load conditions via generative adversarial network.
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- Stochastic Environmental Research & Risk Assessment, 2023, v. 37, n. 7, p. 2829, doi. 10.1007/s00477-023-02421-4
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Flood risk assessment of metro stations based on the SMAA-2-FFS-H method: a case study of the "7·20" rainstorm in Zhengzhou, China.
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- Stochastic Environmental Research & Risk Assessment, 2023, v. 37, n. 7, p. 2849, doi. 10.1007/s00477-023-02422-3
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