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Quality driven modulation rate optimization for energy efficient wireless video networking
QoE driven multimedia service schemes in wireless networks resource allocation: Evolution from optimization, game theory, to economics
Predicting glaucoma progression using random forests for correlated binary response based on longitudinally collected standard automated perimetry data
Parallellization of evoQSAR modeling framework and graphical user interface design using PyQt for drug design
Parallel Implementation of the Unified Curvilinear Ocean and Atmospheric (UCOAM) Model and Supporting Computational Environment
Novel random forest and variable importance methods for clustered data
Novel Random Forest Methods Applied to Medical Studies
Novel Random Forest And Variable Importance Methods For Correlated Survival Data, With Applications To Tooth Prognosis
Non-conservative variational approximation for nonlinear Schrödinger equations and its applications
Neural Network Predictions of Protein Function
Multiclass learning on graphs : diffuse interface models and beyond
Modeling transport of reactive chemical species (CO₂, H₂S, etc.) through porous media
Modeling the effects of inertial forces on Bose-Einstein condensates in rotating frames of reference
Modeling phage-bacteria dynamics in mucus: An agent based approach to phage therapy
Mimetic coastal ocean modeling in general coordinates and using machine learning based predictions.
Mimetic Finite Differences And Parallel Computing To Simulate Carbon Dioxide Subsurface Mass Transport
Mathematical modeling of cystic fibrosis
Mapping regulatory elements in the promoters of autophagy genes
Learning based quantitative evaluation of community living index with Google street-view images
Large-scale inference incorporating covariates and network dependence, with application to genome-wide association studies

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