Advancing understanding in biological systems increasingly depends on the ability to rigorously connect subcellular and molecular processes with tissue- and ...
Cellular dynamics are intrinsically noisy, so mechanistic models must incorporate stochasticity if they are to adequately model experimental observations. As well as intrinsic stochasticity in gene ...
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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 ...
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