The development of accurate predictive models for SFT would allow the optimization of compound design, which is a key factor for improving the performance of any process involving fluid systems, ...
Abstract: In recent history, normalized digital surface models (nDSMs) have been constantly gaining importance as a means to solve large-scale geographic problems. High-resolution surface models are ...
Abstract: In this tutorial brief, we introduce a unified wideband phase-noise theory framework of frequency synthesis based on a multirate timestamp modeling with ...
Given CpGPT's generative capabilities, we have implemented an analogous version of the chain-of-thought used in NLP tasks but for the reconstruction of methylation patterns. For more information about ...
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