Abstract: A new modeling framework integrating Ramer–Douglas–Peucker (RDP) nonuniform sampling (NUS) with a long short-term memory (LSTM)-fully connected network (FCN) hybrid neural network (LFN) is ...
Transcription regulation networks seem to be built of a few regulatory patterns called network motifs. Each network motif can carry out defined information-processing functions. These functions have ...
Abstract: Markov Chain Monte Carlo (MCMC) algorithms are standard approaches to solve imaging inverse problems and quantify estimation uncertainties, a key requirement in absence of ground-truth data.
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