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Non-crossing nonlinear regression quantiles by monotone composite quantile regression neural network, with application to rainfall extremesStochastic environmental research and risk assessment, 2018-11, Vol.32 (11), p.3207-3225 [Peer Reviewed Journal]The Author(s) 2018 ;Stochastic Environmental Research and Risk Assessment is a copyright of Springer, (2018). All Rights Reserved. © 2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1436-3240 ;EISSN: 1436-3259 ;DOI: 10.1007/s00477-018-1573-6Full text available |
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Material Type: Article
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Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithmsStochastic environmental research and risk assessment, 2020-12, Vol.34 (12), p.2277-2300 [Peer Reviewed Journal]Springer-Verlag GmbH Germany, part of Springer Nature 2020 ;Springer-Verlag GmbH Germany, part of Springer Nature 2020. ;ISSN: 1436-3240 ;EISSN: 1436-3259 ;DOI: 10.1007/s00477-020-01862-5Full text available |
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3 |
Material Type: Article
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Monthly runoff forecasting based on LSTM–ALO modelStochastic environmental research and risk assessment, 2018-08, Vol.32 (8), p.2199-2212 [Peer Reviewed Journal]Springer-Verlag GmbH Germany, part of Springer Nature 2018 ;Stochastic Environmental Research and Risk Assessment is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 1436-3240 ;EISSN: 1436-3259 ;DOI: 10.1007/s00477-018-1560-yFull text available |
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Material Type: Article
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Application of an enhanced BP neural network model with water cycle algorithm on landslide predictionStochastic environmental research and risk assessment, 2021-06, Vol.35 (6), p.1273-1291 [Peer Reviewed Journal]Springer-Verlag GmbH Germany, part of Springer Nature 2020 ;Springer-Verlag GmbH Germany, part of Springer Nature 2020. ;ISSN: 1436-3240 ;EISSN: 1436-3259 ;DOI: 10.1007/s00477-020-01920-yFull text available |
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5 |
Material Type: Article
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Support vector regression optimized by meta-heuristic algorithms for daily streamflow predictionStochastic environmental research and risk assessment, 2020-11, Vol.34 (11), p.1755-1773 [Peer Reviewed Journal]Springer-Verlag GmbH Germany, part of Springer Nature 2020 ;Springer-Verlag GmbH Germany, part of Springer Nature 2020. ;ISSN: 1436-3240 ;EISSN: 1436-3259 ;DOI: 10.1007/s00477-020-01874-1Full text available |
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6 |
Material Type: Article
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A novel hybrid dragonfly optimization algorithm for agricultural drought predictionStochastic environmental research and risk assessment, 2021-12, Vol.35 (12), p.2459-2477 [Peer Reviewed Journal]The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021 ;The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021. ;ISSN: 1436-3240 ;EISSN: 1436-3259 ;DOI: 10.1007/s00477-021-02011-2Full text available |
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7 |
Material Type: Article
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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 regressionStochastic environmental research and risk assessment, 2022-10, Vol.36 (10), p.3109-3129 [Peer Reviewed Journal]The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 ;The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022. ;ISSN: 1436-3240 ;EISSN: 1436-3259 ;DOI: 10.1007/s00477-022-02183-5Full text available |
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8 |
Material Type: Article
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Exposure and health: A progress update by evaluation and scientometric analysisStochastic environmental research and risk assessment, 2023-02, Vol.37 (2), p.453-465 [Peer Reviewed Journal]The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;ISSN: 1436-3240 ;EISSN: 1436-3259 ;DOI: 10.1007/s00477-022-02313-z ;PMID: 36212796Full text available |
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9 |
Material Type: Article
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Flash-flood Potential Index mapping using weights of evidence, decision Trees models and their novel hybrid integrationStochastic environmental research and risk assessment, 2019-07, Vol.33 (7), p.1375-1402 [Peer Reviewed Journal]Springer-Verlag GmbH Germany, part of Springer Nature 2019 ;Stochastic Environmental Research and Risk Assessment is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 1436-3240 ;EISSN: 1436-3259 ;DOI: 10.1007/s00477-019-01689-9Full text available |
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10 |
Material Type: Article
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Projections of precipitation over China based on CMIP6 modelsStochastic environmental research and risk assessment, 2021-04, Vol.35 (4), p.831-848 [Peer Reviewed Journal]Springer-Verlag GmbH Germany, part of Springer Nature 2021 ;Springer-Verlag GmbH Germany, part of Springer Nature 2021. ;ISSN: 1436-3240 ;EISSN: 1436-3259 ;DOI: 10.1007/s00477-020-01948-0Full text available |
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11 |
Material Type: Article
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Review of landslide susceptibility assessment based on knowledge mappingStochastic environmental research and risk assessment, 2022-09, Vol.36 (9), p.2399-2417 [Peer Reviewed Journal]The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 ;The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022. ;ISSN: 1436-3240 ;EISSN: 1436-3259 ;DOI: 10.1007/s00477-021-02165-zFull text available |
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12 |
Material Type: Article
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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, IndiaStochastic environmental research and risk assessment, 2022-06, Vol.36 (6), p.1779-1789 [Peer Reviewed Journal]The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021 ;The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021. ;ISSN: 1436-3240 ;EISSN: 1436-3259 ;DOI: 10.1007/s00477-021-02066-1 ;PMID: 34335082Full text available |
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13 |
Material Type: Article
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Stream water quality prediction using boosted regression tree and random forest modelsStochastic environmental research and risk assessment, 2022-09, Vol.36 (9), p.2661-2680 [Peer Reviewed Journal]The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021 ;The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021. ;ISSN: 1436-3240 ;EISSN: 1436-3259 ;DOI: 10.1007/s00477-021-02152-4Full text available |
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14 |
Material Type: Article
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Dismissing return periodsStochastic environmental research and risk assessment, 2015-05, Vol.29 (4), p.1179-1189 [Peer Reviewed Journal]The Author(s) 2014 ;Springer-Verlag Berlin Heidelberg 2015 ;ISSN: 1436-3240 ;EISSN: 1436-3259 ;DOI: 10.1007/s00477-014-0916-1Full text available |
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15 |
Material Type: Article
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Comparison of stochastic and machine learning methods for multi-step ahead forecasting of hydrological processesStochastic environmental research and risk assessment, 2019-02, Vol.33 (2), p.481-514 [Peer Reviewed Journal]Springer-Verlag GmbH Germany, part of Springer Nature 2019 ;Stochastic Environmental Research and Risk Assessment is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 1436-3240 ;EISSN: 1436-3259 ;DOI: 10.1007/s00477-018-1638-6Full text available |
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16 |
Material Type: Article
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Investigating effect of climate change on drought propagation from meteorological to hydrological drought using multi-model ensemble projectionsStochastic environmental research and risk assessment, 2020, Vol.34 (1), p.7-21 [Peer Reviewed Journal]Springer-Verlag GmbH Germany, part of Springer Nature 2019 ;Stochastic Environmental Research and Risk Assessment is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 1436-3240 ;EISSN: 1436-3259 ;DOI: 10.1007/s00477-019-01760-5Full text available |
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17 |
Material Type: Article
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Trends in heat wave related indices in PakistanStochastic environmental research and risk assessment, 2019-01, Vol.33 (1), p.287-302 [Peer Reviewed Journal]Springer-Verlag GmbH Germany, part of Springer Nature 2018 ;Stochastic Environmental Research and Risk Assessment is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 1436-3240 ;EISSN: 1436-3259 ;DOI: 10.1007/s00477-018-1605-2Full text available |
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18 |
Material Type: Article
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Meteorological impacts on the incidence of COVID-19 in the U.SStochastic environmental research and risk assessment, 2020-10, Vol.34 (10), p.1675-1680 [Peer Reviewed Journal]Springer-Verlag GmbH Germany, part of Springer Nature 2020 ;Springer-Verlag GmbH Germany, part of Springer Nature 2020. ;ISSN: 1436-3240 ;EISSN: 1436-3259 ;DOI: 10.1007/s00477-020-01835-8 ;PMID: 32837311Full text available |
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19 |
Material Type: Article
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Heavy metals pollution assessment and its associated human health risk evaluation of urban soils from Indian cities: a reviewEnvironmental geochemistry and health, 2020-01, Vol.42 (1), p.173-190 [Peer Reviewed Journal]Springer Nature B.V. 2019 ;Environmental Geochemistry and Health is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 0269-4042 ;EISSN: 1573-2983 ;DOI: 10.1007/s10653-019-00324-4 ;PMID: 31093816Full text available |
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20 |
Material Type: Article
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Microplastics generated from a biodegradable plastic in freshwater and seawaterWater research (Oxford), 2021-06, Vol.198 [Peer Reviewed Journal]ISSN: 1879-2448 ;ISSN: 0043-1354 ;EISSN: 1879-2448 ;DOI: 10.1016/j.watres.2021.117123Digital Resources/Online E-Resources |