During model development, it is essential to focus on model quality, including reducing bias risk, designing appropriate sample sizes, conducting external validation, and ensuring model ...

Department of Food Science, University of Massachusetts, Amherst, Massachusetts 01003, United States ...

Kentaro Matsuura (2023). Bayesian Statistical Modeling with Stan, R, and Python. Singapore: Springer. URL: https://link.springer.com/book/10.1007/978-981-19-4755-1 ...

Abstract: This study aims to evaluate the impact of early-stage funding (first-time funding, number of funding rounds, amount of funding) on the future success of startups using a predictive analytics ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Abstract: A back propagation neural network prediction method is designed for the predictive control of joint angles in pneumatic artificial muscles in this paper, aimed at improving trajectory ...

Background: The triglyceride-glucose (TyG) index serves as a marker for insulin resistance. Research exploring the link between the TyG index and adverse outcomes among patients suffering from ...

Department of Materials, Manchester Institute of Biotechnology, School of Natural Sciences, Faculty of Science and Engineering, The University of Manchester, Oxford Road, Manchester M13 9PL, United ...