SVM algorithm
SVM is a supervised learning algorithm widely used for classification and regression analysis23. Based on statistics and machine learning theories, SVM aims to find an optimal hyperplane that accurately separates data points from…
SVM is a supervised learning algorithm widely used for classification and regression analysis23. Based on statistics and machine learning theories, SVM aims to find an optimal hyperplane that accurately separates data points from…
Due to the complicated and numerous processes of the metro shield construction, the risk will also be different as the project is in different stages of construction47. This article selects the combination of WBS…
First, we attempted to express and purify the S. cerevisiae Aur1-Kei1 complex, as well as the Aur1 and Kei1 subunits individually (see Methods for detail)….
Sun, H. et al. IDF diabetes atlas: global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045. Diabetes Res. Clin. Pract. 183, 109119 (2022).
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Wild-type mESCs derived from blastocysts of mixed 129-C57Bl/6 background were cultured in media containing DMEM (Gibco, 31966-021), supplemented with LIF (in-house production), 15% FBS (Gibco, 10437-028),…
This study met the ethical recommendations of Resolution 466/12 and was approved by the Research Ethics Committee involving Human Beings of the Pontifical Catholic University of Paraná (PUCPR)—CAEE: 64086622.4.0000.0020, under the number…
Objective function.
This paper constructs a distribution network power supply recovery model that maximizes load…