Exploitation of sparse and low-rank structures for tracking and channel estimation
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Improved brain dynamic contrast enhanced MRI using model-based reconstruction
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Graph-based models and transforms for signal/data processing with applications to video coding
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Animal to human scaling and pharmacokinetic/pharmacodynamic modeling of anticancer drugs
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Accurate 3D model acquisition from imagery data
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CUDA deformers for model reduction
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Anatomically based human hand modeling and simulation
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Efficient inverse analysis with dynamic and stochastic reductions for large-scale models of multi-component systems
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Inverse modeling and uncertainty quantification of nonlinear flow in porous media models
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Integration of multi-physics data into dynamic reservoir model with  ensemble Kalman filter
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Deep learning for subsurface characterization and forecasting
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Knowledge-driven representations of physiological signals: developing measurable indices of non-observable behavior
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Nonlinear models for hippocampal synapses for multi-scale modeling
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Spectral optimization and uncertainty quantification in combustion modeling
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Modeling and predicting with spatial‐temporal social networks
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Thermal modeling and control in mobile and server systems
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The extraction and complexity limits of graphical models for linear codes
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Calibration uncertainty in model-based analyses for medical decision making with applications for ovarian cancer
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Habitat suitability modeling of Mexican spotted owl (Strix occidentalis lucida) in Gila National Forest, New Mexico
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Line segment matching and its applications in 3D urban modeling
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Trustworthy spatiotemporal prediction models
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Data-driven learning for dynamical systems in biology
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Novel multi-stage and CTLS-based model updating methods and real-time neural network-based semiactive model predictive control algorithms
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Real-world evaluation and deployment of wildlife crime prediction models
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Building better species distribution models with machine learning: assessing the role of covariate scale and tuning in Maxent models
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