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更正：水文信息学杂志》25 (6)，2643-2659：使用基于混合投票算法的先进树模型加强多步超前日土壤温度预报，Javad Hatamiafkoueieh、Salim Heddam、Saeed Khoshtinat、Solmaz Khazaei、Abdol-Baset Osmani、Ebrahim Nohani、Mohammad Kiomarzi、Ehsan Sharafi 和 John Tiefenbacher，https://doi.org/10.2166/hydro.2023.188。

IF 2.2 3区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Journal of Hydroinformatics Pub Date : 2024-03-01 DOI:10.2166/hydro.2024.001
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Corrigendum: Journal of Hydroinformatics 25 (6), 2643–2659: Enhanced forecasting of multi-step ahead daily soil temperature using advanced hybrid vote algorithm-based tree models, Javad Hatamiafkoueieh, Salim Heddam, Saeed Khoshtinat, Solmaz Khazaei, Abdol-Baset Osmani, Ebrahim Nohani, Mohammad Kiomarzi, Ehsan Sharafi and John Tiefenbacher, https://doi.org/10.2166/hydro.2023.188
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来源期刊
Journal of Hydroinformatics
Journal of Hydroinformatics 工程技术-工程：土木
CiteScore
4.80
自引率
3.70%
发文量
59
审稿时长
3 months
期刊介绍： Journal of Hydroinformatics is a peer-reviewed journal devoted to the application of information technology in the widest sense to problems of the aquatic environment. It promotes Hydroinformatics as a cross-disciplinary field of study, combining technological, human-sociological and more general environmental interests, including an ethical perspective.
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