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Nonparametric Location Estimation for Probability Density Function Learningand the sample covariance matrix around every input vector. This choice yields poor robustness for real input datasets. We propose to use the L1-median to estimate the local mean and covariance matrix with a low sensitivity to outliers. In addition to this, a smoothing phase is considered, which imp使混合 发表于 2025-3-25 14:30:07
Waveband Switching: A New Frontier in Optical WDM Networkshave brought about a tremendous increase in the size (i.e., the number of ports) of photonic cross-connects, as well as in the cost and difficulty associated with controlling such large cross-connects. Waveband switching (WBS) has attracted attention for its practical importance in reducing the portirritation 发表于 2025-3-25 16:48:11
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Plant Functioning Under Waterlogged Conditionsformance under waterlogging and flooding; also some reviews on this topic have been published in recent years (Perata and Alpi 1993; Armstong et al. 1994a; Ricard et al. 1994; Blom and Voesenek 1996; Crawford 1996; Morard and Silvestre 1996; Drew 1997; Vartapetian and Jackson 1997).ALB 发表于 2025-3-26 14:12:06
Ohne meinen Krebs wäre ich längst gestorbenthm is compared with other four famous constrained multi-objective evolutionary algorithms (CMOEAs) on 15 CMOPs. Experimental results show that the overall performance of the ACMODE is the best among all competitors.exostosis 发表于 2025-3-26 18:09:18
Rabinarayan Patnaik,Sukanta Kumar Baral world. The Internet of Things (IoT) expects to bring more profound changes in the world around us, and to do so, the IoT must come up with solutions and strategies to respond to the pressing issues of device connectivity including security, availability, and reliability. This chapter provides a rev