Predicting the potential distribution and climatic response of the endangered medicinal and edible species, Anoectochilus roxburghii, using an optimized MaxEnt model. [PDF]
Hou Y +7 more
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Landslide susceptibility assessment via the information value-coupled machine learning models. [PDF]
Wang Y, Zhang Z, Yu X, Liu C.
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Predicting the impact of climate change on the habitat suitability and phytochemical quality of Salvia multicaulis Vahl. [PDF]
Tavan M +5 more
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Exploring Potential Distribution and Environmental Preferences of Three Species of <i>Dicranomyia</i> (Diptera: Limoniidae: Limoniinae) Across the Western Palaearctic Realm Using Maxent. [PDF]
Ciliberti P, Starkevich P, Podenas S.
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Impact of Climate Change on the Potential Distribution of <i>Belamcanda chinensis</i> Under Multiple Climatic Scenarios. [PDF]
Lin W +7 more
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Habitat Response Variability: Modeling Predictions Display the Expansion-Contraction Scenario of Two Chinese Endangered Cheirotonus Beetles Under Climate Change. [PDF]
Yu H +5 more
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Spatial Patterns of Global Peste Des Petits Ruminants Virus and Its Potential Risk Assessment for Various Wildlife Habitats. [PDF]
Lu G +7 more
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When comparing alternative query execution plans (QEPs), a cost-based query optimizer in a relational database management system needs to estimate the selectivity of conjunctive predicates. To avoid inaccurate independence assumptions, modern optimizers try to exploit multivariate statistics (MVS) that provide knowledge about joint frequencies in a ...
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