From planning transportation networks to organizing massive datasets, many of society's most important challenges boil down ...
In a departure from decades of computational tradition, a team of researchers at Unconventional AI has developed a method for ...
Stratified random sampling was used to select research sites from provincial, municipal, and county hospitals in Hefei, China. Data were obtained from the hospitalization information systems of three ...
Traditional approaches to analytical method optimization (e.g., univariate and “guess-and-check”) can be time-consuming, costly, and often fail to identify true optima within the parameter space.
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Chemometrics represents a potent tool for optimizing the experimental setup and ...
Abstract: In the presence of design parameter uncertainties, a system-level robust design optimization (RDO) method for a permanent magnet motor is proposed to enhance the dynamic and steady ...
Volatile organic compounds (VOCs) are ubiquitous chemicals of great interest in the study of aromas and flavours of foods. Many recent studies present optimized headspace (HS) and dynamic headspace ...
Gastric Cancer (GC) is a common cancer worldwide with a high morbidity and mortality rate in Asia. Many prognostic signatures from genes and non-coding RNA (ncRNA) levels have been identified by ...
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