Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 85 for “"MAXENT"”.
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Greek Meter : An Approach Using Metrical Grids and Maxent
Standard presentations of ancient Greek poetic meter typically focus on identifying and classifying the repeatable syllable-weight-based patterns found in Greek poetry. This dissertation, by contrast, seeks to understand why selected Greek poets arranged their words in just those patterns instead …
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Loanwords and the perceptual map : a perspective from MaxEnt Learning
… models, formulated within a Maximum Entropy (MaxEnt) framework, have been shown to be successful when simulating the effects that a substantive bias such as the Perceptual Map (PMap) hypothesis of Steriade (2001) may have on a phonological learner. While previous studies have focused primarily …
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"MODEL COMPLEXITY AND VARIABLE SELECTION IN MAXENT NICHE MODELS: ANALYSES FOR RODENTS IN MADAGASCAR"
… conduct these experiments making models with Maxent for a species with few occurrence records, the endemic Malagasy rodent Eliurus majori (subfamily Nesomyinae), using 19 bioclimatic variables. Candidate models were created across a wide range of complexities. For both datasets, both …
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Predictive Analysis of Arizona Dust Storms (1996–2023): GIS, Artificial Intelligence (MaxEnt), and Spatiotemporal Data
… dissertation looks at how well Maximum Entropy (MaxEnt) model can predict duststorms in Arizona, United States. MaxEnt is a machine learning tool that was first developed to predict where different species might live. MaxEnt uses presence-only data which makes it especially useful in environments …
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A Unified Framework for Image Modeling and Estimation Using Measurement Constraints
A new, rich class of maxent priors for natural images from imprecise subband statistics in multiple orthonormal wavelet bases is developed. Experimental results for the problem of image restoration in additive white Gaussian noise are presented. Denoising and restoration of natural images using …
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The application of Bayesian statistics and maximum entropy to Ion beam analysis techniques
… Jansson's method and maximum entropy (MaxEnt) without pixons. All the deconvolution techniques show an improvement in the resolution of the RBS spectra but only the MaxEnt techniques show a significant improvement in the resolution of the PIXE spectra. The MaxEnt methods also produce …
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Using Plant Functional Traits to Estimate Prairie Restoration Species Composition
… to gauge restoration success. The program Maxent allows for an interpretation of data that may facilitate the prediction of plant species composition from species functional traits in different ages of prairie restorations. The inexpensive and diverse nature of Maxent makes it advantageous …
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Development and assessment of predictive spatial models for a rare Tennessee anuran: Barking treefrog (Hyla gratiosa)
… Predictive modeling using the program MaxEnt provided results for models that guided field sampling to potential presence locations. From April-August 2017, 126 sites (63 historical; 63 predicted) were visited monthly and sampled for frog calls according to a standardized protocol. …
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A Comparison of Presence Only Suitability Models to Accurately Identify Prehistoric Agricultural Fields in Western New Mexico Through Remote Sensing
… Mahalanobis Technicality, Maximum Entropy (Maxent), and Multi-Criteria Evaluation Ordered Weighted Average (MCE OWA) were used and the suitability raster results were compared. Area Under the Curve (AUC) values were calculated and used to validate model results. Although archaeological …
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Potential environmental factors associated with the newly emerging bat white-nose syndrome in the northeastern United States: an exploratory modeling approach and case-control study
… a new machine-learning modeling technique, Maxent modeling, along with a case-control study to assess the hypothesis that certain environmental variables may be associated with the occurrence and distribution of bat WNS. Maxent data uses presence-only data and bases its algorithms on the …
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Species Distribution Modeling for Arid Adapted Habitat Specialists in Zion National Park
… Park (ZION). The machine learning method, MaxEnt, constructed species distribution models (SDMs) in ZION for the two study species at 30 m and 900 m spatial resolutions using climate, topographic, and remotely sensed data. Additionally, 900 m forecasting models were constructed to observe …
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Modeling the Future Distribution of Rubus chamaemorus (cloudberry) in Alaska
… to climate change impacts, Maximum Entropy (MaxEnt) niche modeling was used to understand historical and projected future distributions of cloudberry habitat suitability in five distinct regions of Alaska: Interior, North Slope, Southcentral, West Coast, and Southeast. Leveraging …
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Using Maximum Entropy to Model the Distribution of an Endangered, Endemic Crayfish Cambarus Harti (Hobbs)
… One species distribution model, Maximum Entropy (MaxEnt), is the preferred approach when modeling species, like <em>C. harti</em>, that only have a few known locations. I used MaxEnt to create a predictive, spatial model for <em>C. harti</em>. The MaxEnt model was developed using 14 <em>C. …
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Maximum Entropy Modeling of Indiana Bat (Myotis Sodalis) Maternity Roost Habitat
… and slope) were used as input variables for a MaxEnt model of species distribution. I used ENMTools to identify which analysis features produced the best MaxEnt model for this data set. Linear and quadratic analysis features, separately, fit the data the best. When cross-validated through four …
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SPATIALLY EXPLICIT MODEL OF AREAS BETWEEN SUITABLE BLACK BEAR HABITAT IN EAST TEXAS AND BLACK BEAR POPULATIONS IN LOUISIANA, ARKANSAS, AND OKLAHOMA
… and the east Texas recovery units. I utilized Maxent, a machine learning software, to model habitat suitability in this region. I collected known black bear presence locations (n=18,241) from state agencies in Louisiana, Oklahoma, Arkansas and east Texas and filtered them to reduce spatial …
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Prioritization of conservation areas using species distribution modeling based on current data of butterflies in Johor
… of the overall diversity in Peninsular Malaysia. MaxEnt was then used to model and map the potential distribution of butterflies based on land cover, vegetation indices, land use, elevation, and bioclimatic layers as variables. Nine models were formulated and compared based on the area under curve …
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Predicting suitable areas for cultivation and conservation of the baobab tree and investigating superior sources of planting material
… of the baobab tree were studied using Maxent niche modelling framework. And, in order to contribute to the selection of superior materials for cultivation, fruit morphology was studied in situ (in Malawi and Mali) while leaf and seedling morphology were studied in situ (in Benin and …
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The use of right of ways by primary burrowing crayfishes in the Ouachita Mountains Ecoregion of Arkansas
… species distribution models using the program Maxent. I then used the species distribution model as a guide to sample for both crayfish species across the OME. My analysis revealed that species distribution models, specifically Maxent, are a suitable tool for analyzing and discovering new …
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Mapping and modeling of neglected tropical diseases in Brazil and Bolivia
… and remote sensing technologies within the MaxEnt ecological niche modeling program to create predictive risk maps for leprosy and Schistosomiasis in Brazil and Chagas disease in both Brazil and Bolivia. New disease cases were compiled for leprosy, Schistosomiasis, and Chagas disease from …
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Assessing predictive performance and transferability of species distribution models for freshwater fish in the United States
… regression trees (BRT) than the presence-only MaxEnt models. AUC in the cross validation was also higher for species with large geographic ranges and small local populations. Species prevalence affected discrimination power in the model training but not in the validation. In chapter 3, spatial …
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