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A novel hybrid probabilistic framework for model validation
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Modeling intermittently connected vehicular networks
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Characterization of visual cells using generic models and natural stimuli
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Nonlinear dynamical modeling of single neurons and its application to analysis of long-term potentiation (LTP)
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Modeling the integration of salamander vision and behavior
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Sparse representation models and applications to bioinformatics
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Inverse modeling and uncertainty quantification of nonlinear flow in porous media models
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Modeling and analysis of nanostructure growth process kinetics and variations for scalable nanomanufacturing
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User modeling for human-machine spoken interaction and mediation systems
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Habitat suitability modeling of Mexican spotted owl (Strix occidentalis lucida) in Gila National Forest, New Mexico
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Expanding constraint theory to determine well-posedness of large mathematical models
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Dependent R-D modeling for H.264/SVC bit allocation
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Mechanistic model of chimeric antigen receptor T cell activation
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Computational model of stroke therapy and long term recovery
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Systems pharmacology for acute myeloid leukemia and feedback control pharmacodynamic models
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Forward-backward stochastic differential equations with discontinuous coefficient and regime switching term structure model
Line segment matching and its applications in 3D urban modeling
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Modeling human regulation of momentum while interacting with the environment
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The identification, validation, and modeling of critical parameters in lean six sigma implementations
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Modeling retinal prosthesis mechanics
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Probabilistic data-driven predictive models for energy applications
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Analytical and experimental studies in modeling and monitoring of uncertain nonlinear systems using data-driven reduced‐order models
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Models and solution approaches for facility location of medical supplies for large-scale emergencies
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Evaluating predator prey dynamics and site utilization patterns of golden eagles using resource selection modeling and spatiotemporal pattern mining
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Analytical and experimental studies in the development of reduced-order computational models for nonlinear systems
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