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A machine learning forecasting model for COVID-19 pandemic in India

Stochastic environmental research and risk assessment, 2020, Vol.34 (7), p.959-972

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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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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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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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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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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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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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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Modelling daily reference evapotranspiration based on stacking hybridization of ANN with meta-heuristic algorithms under diverse agro-climatic conditions

Stochastic environmental research and risk assessment, 2022-10, Vol.36 (10), p.3311-3334

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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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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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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A novel swarm intelligence: cuckoo optimization algorithm (COA) and SailFish optimizer (SFO) in landslide susceptibility assessment

Stochastic environmental research and risk assessment, 2023-05, Vol.37 (5), p.1717-1743

2023

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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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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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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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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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Drought indicator analysis and forecasting using data driven models: case study in Jaisalmer, India

Stochastic environmental research and risk assessment, 2023, Vol.37 (1), p.113-131

2023

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Markov chain Monte Carlo with neural network surrogates: application to contaminant source identification

Stochastic environmental research and risk assessment, 2021-03, Vol.35 (3), p.639-651

2021

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Artificial Intelligence models for prediction of the tide level in Venice

Stochastic environmental research and risk assessment, 2021-12, Vol.35 (12), p.2537-2548

2021

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Sensitivity of normalized difference vegetation index (NDVI) to land surface temperature, soil moisture and precipitation over district Gautam Buddh Nagar, UP, India

Stochastic environmental research and risk assessment, 2022-06, Vol.36 (6), p.1779-1789

2022

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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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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 machine learning forecasting model for COVID-19 pandemic in India

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

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

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

Monthly runoff forecasting based on LSTM–ALO model

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

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

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

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

Modelling daily reference evapotranspiration based on stacking hybridization of ANN with meta-heuristic algorithms under diverse agro-climatic conditions

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

Review of landslide susceptibility assessment based on knowledge mapping

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

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

A novel swarm intelligence: cuckoo optimization algorithm (COA) and SailFish optimizer (SFO) in landslide susceptibility assessment

Projections of precipitation over China based on CMIP6 models

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

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

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

Drought indicator analysis and forecasting using data driven models: case study in Jaisalmer, India

Markov chain Monte Carlo with neural network surrogates: application to contaminant source identification

Artificial Intelligence models for prediction of the tide level in Venice

Sensitivity of normalized difference vegetation index (NDVI) to land surface temperature, soil moisture and precipitation over district Gautam Buddh Nagar, UP, India

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

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

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