APPLICATION OF K-PSO CLUSTERING ALGORITHM AND GAME THEORY IN ROCK MASS QUALITY EVALUATION OF MAJI HYDROPOWER STATION

Application of K-PSO Clustering Algorithm and Game Theory in Rock Mass Quality Evaluation of Maji Hydropower Station

In this study, Cock Rings the K-means algorithm based on particle swarm optimization (K-PSO) and game theory are introduced to establish the quality evaluation model of a rock mass.Five evaluation factors were considered, i.e., uniaxial saturated compressive strength of rock, discontinuity spacing, acoustic velocity, rock quality designation (RQD),

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Ultrasensitive detection of lipoarabinomannan with plasmonic grating biosensors in clinical samples of HIV negative patients with tuberculosis.

BACKGROUND:Timely diagnosis of tuberculosis Womenswear disease is critical for positive patient outcomes, yet potentially millions go undiagnosed or unreported each year.Sputum is widely used as the testing input, but limited by its complexity, heterogeneity, and sourcing problems.Finding methods to interrogate noninvasive, non-sputum clinical spec

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