Advancing understanding in biological systems increasingly depends on the ability to rigorously connect subcellular and molecular processes with tissue- and ...

Randomness is inherent to real world problems so faculty research in this area includes the development and application of probabilistic tools to model, predict, and analyze randomness in applications ...

Conservation levels of gene expression abundance ratios are globally coordinated in cells, and cellular state changes under such biologically relevant stoichiometric constraints are readable as ...

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Abstract: To improve the accuracy of multi-region furnace temperature perception in the municipal solid waste incineration (MSWI) process, this study proposes a multi-target ensemble stochastic ...

Abstract: This paper introduces an effective active learning strategy to iteratively refine the training of Gaussian process models with application to uncertainty quantification. Compared to ...