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1
Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms
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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 [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/s00477-020-01862-5

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2
Climate-induced rice yield anomalies linked to large-scale atmospheric circulation in Bangladesh using multi-statistical modeling
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Article
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Climate-induced rice yield anomalies linked to large-scale atmospheric circulation in Bangladesh using multi-statistical modeling

Theoretical and applied climatology, 2021-05, Vol.144 (3-4), p.1077-1099 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2021 ;COPYRIGHT 2021 Springer ;The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2021. ;ISSN: 0177-798X ;EISSN: 1434-4483 ;DOI: 10.1007/s00704-021-03584-2

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3
Spatiotemporal trends of temperature extremes in Bangladesh under changing climate using multi-statistical techniques
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Article
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Spatiotemporal trends of temperature extremes in Bangladesh under changing climate using multi-statistical techniques

Theoretical and applied climatology, 2022, Vol.147 (1-2), p.307-324 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2021 ;COPYRIGHT 2022 Springer ;The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2021. ;ISSN: 0177-798X ;EISSN: 1434-4483 ;DOI: 10.1007/s00704-021-03828-1

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4
Perceived and actual risks of drought: household and expert views from the lower Teesta River Basin of northern Bangladesh
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Article
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Perceived and actual risks of drought: household and expert views from the lower Teesta River Basin of northern Bangladesh

Natural hazards (Dordrecht), 2021-09, Vol.108 (3), p.2569-2587 [Peer Reviewed Journal]

The Author(s) 2021 ;The Author(s) 2021. 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: 0921-030X ;EISSN: 1573-0840 ;DOI: 10.1007/s11069-021-04789-4

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5
Rice yield responses in Bangladesh to large-scale atmospheric oscillation using multifactorial model
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Article
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Rice yield responses in Bangladesh to large-scale atmospheric oscillation using multifactorial model

Theoretical and applied climatology, 2021-10, Vol.146 (1-2), p.29-44 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2021 ;COPYRIGHT 2021 Springer ;The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2021. ;ISSN: 0177-798X ;EISSN: 1434-4483 ;DOI: 10.1007/s00704-021-03725-7

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6
Correction to: Perceived and actual risks of drought: household and expert views from the lower Teesta River Basin of northern Bangladesh
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Article
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Correction to: Perceived and actual risks of drought: household and expert views from the lower Teesta River Basin of northern Bangladesh

Natural hazards (Dordrecht), 2021-09, Vol.108 (3), p.2589-2589 [Peer Reviewed Journal]

Springer Nature B.V. 2021 ;Springer Nature B.V. 2021. ;ISSN: 0921-030X ;EISSN: 1573-0840 ;DOI: 10.1007/s11069-021-04825-3

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7
Rain-Fed Rice Yield Fluctuation to Climatic Anomalies in Bangladesh
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Article
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Rain-Fed Rice Yield Fluctuation to Climatic Anomalies in Bangladesh

International journal of plant production, 2021-06, Vol.15 (2), p.183-201 [Peer Reviewed Journal]

Springer Nature Switzerland AG 2021 ;ISSN: 1735-6814 ;EISSN: 1735-8043 ;DOI: 10.1007/s42106-021-00131-x

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8
Estimating ground-level PM 2.5 using subset regression model and machine learning algorithms in Asian megacity, Dhaka, Bangladesh
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Article
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Estimating ground-level PM 2.5 using subset regression model and machine learning algorithms in Asian megacity, Dhaka, Bangladesh

Air quality, atmosphere and health, 2023, Vol.16 (6), p.1117 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) 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: 1873-9318 ;EISSN: 1873-9326 ;PMID: 37303964

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