Stochastic Environmental Research and Risk Assessment

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1. 1
   When climate risk affects the systemic risk of the insurance sector: ∆CoVaR forecasting20260
2. 2
   Spatiotemporal dependence in floods with the Heffernan and Tawn conditional exceedance model: from synthesis to a new application20260
3. 3
   Statistical post-processing of daily ensembles enhances the one-month forecast skill of SEAS5 global precipitation20260
4. 4
   Kumaraswamy diffusion processes20261
5. 5
   An enhanced quantum reservoir computing framework for hydrological time series modeling20260
6. 6
   A novel severity categorization methodology for compound dry and hot events and its spatiotemporal analysis over the Mediterranean CORDEX domain20260
7. 7
   Markov-modulated Cox processes and supervised declustering for seismic hazard in Sumatra20260
8. 8
   Dynamics and threshold analysis of a stochastic epidemic model driven by a bounded Wright–Fisher diffusion process20260
9. 9
   Human activities prolong baseflow drought recovery and alter recovery probability in a regulated river basin20260
10. 10
    Efficient system reliability analysis of landslide-pipeline interaction via active learning Kriging with sequential importance sampling20260

高被引文章

1. 1
   Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model2020576
2. 2
   Flood susceptibility analysis and its verification using a novel ensemble support vector machine and frequency ratio method2015467
3. 3
   Monthly runoff forecasting based on LSTM–ALO model2018346
4. 4
   A machine learning forecasting model for COVID-19 pandemic in India2020339
5. 5
   Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model2016228
6. 6
   Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms2020226
7. 7
   Application of an enhanced BP neural network model with water cycle algorithm on landslide prediction2020201
8. 8
   Stream water quality prediction using boosted regression tree and random forest models2022181
9. 9
   Application of wavelet-artificial intelligence hybrid models for water quality prediction: a case study in Aji-Chay River, Iran2016179
10. 10
    Non-crossing nonlinear regression quantiles by monotone composite quantile regression neural network, with application to rainfall extremes2018157

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