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Maximum Entropy (Maxent) Approach to Sorghum Landraces Distribution Modelling
Indian Journal of Plant Genetic Resources, 2016Maximum entropy method (Maxent) for modelling of selected sorghum landraces (Errajonna, Kondajonna, Pachchajonna and Tellajonna) geographic distributions with presence-only data from Khammam district of Telangana state, India for future climate was attempted. Variability occurs among the models generated for specific landraces.
N Sivaraj +5 more
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Equivalence of MAXENT and Poisson Point Process Models for Species Distribution Modeling in Ecology
Biometrics, 2013Summary Modeling the spatial distribution of a species is a fundamental problem in ecology. A number of modeling methods have been developed, an extremely popular one being MAXENT, a maximum entropy modeling approach.
Renner, Ian W., Warton, David I.
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Niche modelling of endangered philippine birds using GARP and MAXENT
2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence, 2017Researches in the area of environmental niche modeling has been using climatic parameters in modeling niches of bird species. However, local experts believe that human activity is a great cont ributor to the birds' habitat status — a condition not often tested on niche model accuracy. Genetic Algorithm for Rule-set Production (GARP) and Maximum Entropy
Chuchi Montenegro +3 more
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Modelling Drug Behaviour in the Body with Maxent
1992Description of the passage of drugs into, around and out of the body is conventionally based on simple compartmental models, often with only one or two compartments. These models are clearly gross simplifications of such a complex biological system.
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2021
In recent years, population growth in society has had a significant impact on plant populations in the region, along with increased demand for natural landscapes and their irregular use, as well as soil degradation and fragmentation of natural areas where plants are distributed.
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In recent years, population growth in society has had a significant impact on plant populations in the region, along with increased demand for natural landscapes and their irregular use, as well as soil degradation and fragmentation of natural areas where plants are distributed.
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[Optimizing MaxEnt model in the prediction of species distribution.]
Ying yong sheng tai xue bao = The journal of applied ecology, 2019Maximum Entropy (MaxEnt) model has been widely used in recent years. However, MaxEnt is highly inclined to produce misleading results if it is not well optimized. We summarized the researches about the model optimization for sampling bias correction, model complexity tuning, presence-absence threshold selection, and model evaluation.
Wei Yao, Kong +2 more
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MaxEnt Dreamer: Maximum Entropy Reinforcement Learning with World Model
2022 International Joint Conference on Neural Networks (IJCNN), 2022Hongying Ma +3 more
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Modeling Present Distribution Commercial Fish and Shrimps Using MaxEnt
Wetlands, 2022Sana Sharifian +2 more
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