Jun 15, 2019 ... As an adjunct tool to cardiotocography, FBS offered limited value to predict neonatal acidaemia, low Apgar Scores and admission to NICU.

Sep 19, 2022 ... Lung cancer is the leading cause of cancer death worldwide. Prognostic prediction plays a vital role in the decision-making process for ...

Oct 3, 2018 ... Results: Overall, the PLSR gives a better prediction in comparison to the Cubist model for the prediction of various soil properties. It is also ...

Jul 6, 2017 ... The library hit rate, r (7)is an independent variable used to define the population of A and B. The library sample aliquot, S, is filled by ...

Jan 9, 2022 ... Machine learning has long been considered as a black box for predicting combustion chemical kinetics due to the extremely large number of ...

Jun 10, 2023 ... Formation fluid samples acquired using advanced Wireline or Logging While Drilling (LWD) instruments are the most representative because the ...

Dec 3, 2018 ... Title:Learning to Predict Ego-Vehicle Poses for Sampling-Based Nonholonomic Motion Planning ... Abstract:Sampling-based motion planning is an ...

Oct 3, 2018 ... There are various sampling algorithms available to select calibration samples in infrared spectroscopy, such as the Kennard-Stone (KS) algorithm ...

Oct 5, 2023 ... yes, I know. I should predict using the posterior, Why would we build a Bayesian model if we want a deterministic prediction?

We propose a curriculum learning strategy to gently change the training process from a fully guided scheme using the true previous token, towards a less guided ...