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A systematic investigation of exotic matter in neutron stars
Advancements in the elicitation, aggregation, and forecasting of probability distributions under time constraints
An investigation of deformation of the stellar structure of neutron stars
Applications of machine learning in cancer prediction: Renal cell carcinoma and glioblastoma multiforme
Boosting Performance and Endurance of Flash-Based Storage Systems: From Embedded Systems to Enterprise Servers
Computational Approaches for Descriptor Optimization and Model Development for HIV-1 Drug Design
Data assimilation unit for the general curvilinear environmental model
Development of a parallel coupler library with minimal inter-process synchronization for large-scale computer simulations
Distributed mode selection and cross-layer routing protocol for FDD nodes in mobile ad hoc networks
Dynamical properties of Bose-Einstein condensates
Forecasting MLB performance utilizing a Bayesian approach in order to optimize a fantasy baseball draft
I/O stack optimization for non-volatile memory based storage systems
Inferring undirected and casually directed graph graph structures from multivariate time series
Investigating Castillo-Grone's Mimetic Difference Operators in Development of Geophysical Fluid Dynamics Models Implemented on GPGPUs
Mathematical modeling of cystic fibrosis
Mimetic coastal ocean modeling in general coordinates and using machine learning based predictions
Mimetic coastal ocean modeling in general coordinates and using machine learning based predictions.
Modeling the effects of inertial forces on Bose-Einstein condensates in rotating frames of reference
Novel Random Forest And Variable Importance Methods For Correlated Survival Data, With Applications To Tooth Prognosis
Novel Random Forest Methods Applied to Medical Studies