Titlebook: International Conference on Neural Computing for Advanced Applications; 4th International Co Haijun Zhang,Yinggen Ke,Yuanyuan Mu Conference

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LAVA

美麗的寫(xiě)

Semi-supervised Multi-class Classification Methods Based on?Laplacian Vector Projectionxperiments are conducted on nine UCI datasets to display the classification performance for multi-class data. Compared with other popular semi-supervised multi-class classification methods based on manifold regularization, the proposed semi-supervised multi-class classification methods hold the adva

BLANC

Integrating EMD, LMD and?TCN Methods for?COVID-19 Forecastingom input coronavirus series to the output ones. Because of the unique construction of our network, it can solve time series foresting problems with different nonlinear tendencies and oscillation. We showcase the capabilities of our model through two notable applications in COVID-19 prediction, inclu

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Application of Bat Algorithm to Reduce Power Loss in Electrical Power Systems39 and 57 node systems. BA can reduce the test systems’ losses to 37.109?MW and 22.304?MW from the initial case of 43.6?MW and 28.46?MW, respectively. The percentage savings of the test systems are 14.94% and 21.63%, respectively, which shows that BA can reduce PL in electrical power systems. The si

異端邪說(shuō)2

步履蹣跚

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乳白光

油氈