David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...
These findings reveal distinct age- and sex-specific patterns in the burden of modifiable risk factors in contemporary Koreans. Tailored prevention strategies that reflect national epidemiological ...
Paying invoices sounds simple enough. A vendor creates an invoice and sends a bill, your team approves it, and the money goes out. In practice, though, invoice payments are where a lot of finance ...
The Measurement Alternative and Ranking according to COmpromise Solution (MARCOS) method is applied for multi-criteria decision making for the selection of optimal process parameters during turning of ...
Abstract: For traditional surrogate model-based methods, the distribution parameters of random variables will change with the enrichment of the data, ultimately leading to the reconstruction of ...
To address the issues of insufficient control parameter identification accuracy and convergence speed during the grid connection of distributed power sources, a control parameter identification method ...
Abstract: Accurate modeling is an important aspect for a reliable design, control and optimization of proton exchange membrane (PEM) fuel cell. The mathematical model of PEM fuel cell involves a set ...
The probability integral method is one of the most widely used methods for predicting surface subsidence induced by underground mining in China. In its parameter calculation, the least square ...
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