Uncertainty compensation and automated nanomanipulation with atomic force microscopes
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Advances in linguistic data-oriented uncertainty modeling, reasoning, and intelligent decision making
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Stochastic and multiscale models for urban and natural ecology
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Psychosocial adjustment among patients with metastatic colorectal cancer
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Electromagnetic scattering models for satellite remote sensing of soil moisture using reflectometry from microwave signals of opportunity
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Calculating architectural reliability via modeling and analysis
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Experimental studies of high pressure combustion using spherically expanding flames
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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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Nanostructure interaction modeling and estimation for scalable nanomanufacturing
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Leveraging training information for efficient and robust deep learning
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Feature learning for imaging and prior model selection
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Artificial intelligence for low resource communities: Influence maximization in an uncertain world
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Modeling and analysis of nanostructure growth process kinetics and variations for scalable nanomanufacturing
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The power of flexibility: autonomous agents that conserve energy in commercial buildings
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Inference of computational models of tendon networks via sparse experimentation
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Real-world evaluation and deployment of wildlife crime prediction models
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Music retrieval systems: robust performance under the effect of uncertainty
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Optimization of CO2 storage efficiency under geomechanical risks using coupled flow-geomechanics-fracturing model
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Energy efficient buildings: a method of probabilistic risk assessment using building energy simulation
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Model-driven situational awareness in large-scale, complex systems
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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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User modeling for human-machine spoken interaction and mediation systems
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Performance monitoring and disturbance adaptation for model predictive control
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Multiple model adaptive control with mixing
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New approaches using probabilistic graphical models in health economics and outcomes research
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