To address the limitations of binary pCR classification, Pusztai and colleagues developed the residual cancer burden (RCB) ...
Palo Alto, Calif.-based Stanford Health Care is at an inflection point in how we think about applications, workflows, and the teams that support them. For years, the dominant narrative in health IT ...
Advances in artificial intelligence promise to help chemical engineers discover complex new materials. These materials could ...
Researchers have proposed an efficient feature search approach for estimating the state of health of lithium-ion batteries, ...
In light of recent global shocks and rising external volatility, there is a growing need to effectively monitor short-term economic fluctuations, especially in countries with limited access to ...
ABB has launched a software-as-a-service (SaaS) version of its energy management and optimization platform, ABB Ability Optimax 7.0, which includes improvements to the ABB Ability Advanced Process ...
Abstract: Bayesian optimization is a popular black-box optimization method for parameter learning in control and robotics. It typically requires an objective function that reflects the user's ...
Abstract: Graph-level clustering aims to partition a set of graphs into different clusters and has important applications in social networks, bioinformatics, etc. Although there have been some ...
ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. In this paper, we introduce a methodology to improve upon the ...
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