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Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model

Stochastic environmental research and risk assessment, 2020-02, Vol.34 (2), p.415-433

2020

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Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms

Stochastic environmental research and risk assessment, 2020-12, Vol.34 (12), p.2277-2300

2020

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Non-crossing nonlinear regression quantiles by monotone composite quantile regression neural network, with application to rainfall extremes

Stochastic environmental research and risk assessment, 2018-11, Vol.32 (11), p.3207-3225

Cannon, Alex J.

2018

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Monthly runoff forecasting based on LSTM–ALO model

Stochastic environmental research and risk assessment, 2018-08, Vol.32 (8), p.2199-2212

2018

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Application of an enhanced BP neural network model with water cycle algorithm on landslide prediction

Stochastic environmental research and risk assessment, 2021-06, Vol.35 (6), p.1273-1291

2021

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Flood susceptibility analysis and its verification using a novel ensemble support vector machine and frequency ratio method

Stochastic environmental research and risk assessment, 2015-05, Vol.29 (4), p.1149-1165

2015

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An improved long short-term memory network for streamflow forecasting in the upper Yangtze River

Stochastic environmental research and risk assessment, 2020-09, Vol.34 (9), p.1313-1329

2020

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Support vector regression optimized by meta-heuristic algorithms for daily streamflow prediction

Stochastic environmental research and risk assessment, 2020-11, Vol.34 (11), p.1755-1773

2020

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Renewable energy, economic freedom and economic policy uncertainty: New evidence from a dynamic panel threshold analysis for the G-7 and BRIC countries

Stochastic environmental research and risk assessment, 2023-09, Vol.37 (9), p.3367-3382

2023

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A novel hybrid dragonfly optimization algorithm for agricultural drought prediction

Stochastic environmental research and risk assessment, 2021-12, Vol.35 (12), p.2459-2477

2021

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Occupational health, safety and environmental risk assessment in textile production industry through a Bayesian BWM-VIKOR approach

Stochastic environmental research and risk assessment, 2022-02, Vol.36 (2), p.629-642

2022

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Flash-flood Potential Index mapping using weights of evidence, decision Trees models and their novel hybrid integration

Stochastic environmental research and risk assessment, 2019-07, Vol.33 (7), p.1375-1402

Costache, Romulus

2019

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A comparative study of mutual information-based input variable selection strategies for the displacement prediction of seepage-driven landslides using optimized support vector regression

Stochastic environmental research and risk assessment, 2022-10, Vol.36 (10), p.3109-3129

2022

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Exposure and health: A progress update by evaluation and scientometric analysis

Stochastic environmental research and risk assessment, 2023-02, Vol.37 (2), p.453-465

2023

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Review of landslide susceptibility assessment based on knowledge mapping

Stochastic environmental research and risk assessment, 2022-09, Vol.36 (9), p.2399-2417

2022

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Projections of precipitation over China based on CMIP6 models

Stochastic environmental research and risk assessment, 2021-04, Vol.35 (4), p.831-848

2021

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Asymmetric impact of pandemics-related uncertainty on CO2 emissions: evidence from top-10 polluted countries

Stochastic environmental research and risk assessment, 2022-12, Vol.36 (12), p.4103-4117

2022

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Stream water quality prediction using boosted regression tree and random forest models

Stochastic environmental research and risk assessment, 2022-09, Vol.36 (9), p.2661-2680

2022

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Urbanization, urban land expansion and environmental change in China

Stochastic environmental research and risk assessment, 2014-05, Vol.28 (4), p.757-765

2014

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Assessment of occupational risks from human health and environmental perspectives: a new integrated approach and its application using fuzzy BWM and fuzzy MAIRCA

Stochastic environmental research and risk assessment, 2020-08, Vol.34 (8), p.1231-1262

2020

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Dismissing return periods

Stochastic environmental research and risk assessment, 2015-05, Vol.29 (4), p.1179-1189

Serinaldi, Francesco

2015

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Point process-based modeling of multiple debris flow landslides using INLA: an application to the 2009 Messina disaster

Stochastic environmental research and risk assessment, 2018-07, Vol.32 (7), p.2179-2198

2018

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Comparison of stochastic and machine learning methods for multi-step ahead forecasting of hydrological processes

Stochastic environmental research and risk assessment, 2019-02, Vol.33 (2), p.481-514

2019

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Application of wavelet-artificial intelligence hybrid models for water quality prediction: a case study in Aji-Chay River, Iran

Stochastic environmental research and risk assessment, 2016-10, Vol.30 (7), p.1797-1819

2016

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Investigating effect of climate change on drought propagation from meteorological to hydrological drought using multi-model ensemble projections

Stochastic environmental research and risk assessment, 2020, Vol.34 (1), p.7-21

2020

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Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model

Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms

Non-crossing nonlinear regression quantiles by monotone composite quantile regression neural network, with application to rainfall extremes

Monthly runoff forecasting based on LSTM–ALO model

Application of an enhanced BP neural network model with water cycle algorithm on landslide prediction

Flood susceptibility analysis and its verification using a novel ensemble support vector machine and frequency ratio method

An improved long short-term memory network for streamflow forecasting in the upper Yangtze River

Support vector regression optimized by meta-heuristic algorithms for daily streamflow prediction

Renewable energy, economic freedom and economic policy uncertainty: New evidence from a dynamic panel threshold analysis for the G-7 and BRIC countries

A novel hybrid dragonfly optimization algorithm for agricultural drought prediction

Occupational health, safety and environmental risk assessment in textile production industry through a Bayesian BWM-VIKOR approach

Flash-flood Potential Index mapping using weights of evidence, decision Trees models and their novel hybrid integration

A comparative study of mutual information-based input variable selection strategies for the displacement prediction of seepage-driven landslides using optimized support vector regression

Exposure and health: A progress update by evaluation and scientometric analysis

Review of landslide susceptibility assessment based on knowledge mapping

Projections of precipitation over China based on CMIP6 models

Asymmetric impact of pandemics-related uncertainty on CO2 emissions: evidence from top-10 polluted countries

Stream water quality prediction using boosted regression tree and random forest models

Urbanization, urban land expansion and environmental change in China

Assessment of occupational risks from human health and environmental perspectives: a new integrated approach and its application using fuzzy BWM and fuzzy MAIRCA

Dismissing return periods

Point process-based modeling of multiple debris flow landslides using INLA: an application to the 2009 Messina disaster

Comparison of stochastic and machine learning methods for multi-step ahead forecasting of hydrological processes

Application of wavelet-artificial intelligence hybrid models for water quality prediction: a case study in Aji-Chay River, Iran

Investigating effect of climate change on drought propagation from meteorological to hydrological drought using multi-model ensemble projections

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