An anesthesiologist-intensivist proposes integrating big data, ultrasound stratification, and triple monitoring to reduce risks in the operating room and ICU.
A team of researchers from the Shanghai Institute of Applied Physics, Chinese Academy of Sciences, has developed an ...
Online Set Cover and Load Balancing are central problems in online optimization, and there is a long line of work on developing algorithms for these problems with convex objectives. Although we know ...
ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
Statistical process control (SPC) charts provide a natural approach to analysing time series data for healthcare quality improvement (QI) initiatives. A problem arising in practice is that having ...
In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...
Is your feature request related to a problem or challenge? Currently, the platform does not include any all-pairs shortest path algorithm. Users cannot visualize or interactively learn Floyd-Warshall, ...
ABSTRACT: As cloud computing continues to evolve, managing CPU resources effectively has become a critical task for ensuring system performance and efficiency. Traditional CPU resource management ...
1 BEACON Center for the Study of Evolution in Action, Michigan State University, East Lansing, MI, United States 2 Department of MicroData Analytics, Dalarna University, Falun, Dalarna, Sweden ...
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