This paper presents an optimization-based layered classification method for the classification and dynamics monitoring of wetlands based on a decision procedure of multiple objectives.
针对上述问题，在闽江口湿地动态监测和专题信息提取过程中，建立了提取方法优选模型，构建了基于优化理论的湿地信息提取分层分类模式。
This process is repeated multiple times to apply more layers, with careful monitoring and precise etching techniques applied to each layer, to produce the final layered chip design.
这一过程被重复多次以应用更多的层，通过仔细监测和施加到各个层的精确蚀刻技术，以产生最终的层状芯片设计。
In this paper, a layered network architecture based on regular hexagonal cells is introduced to wireless sensor network, and the optimal layers is studied in given monitoring area.
提出了一种基于正六边形网格的分层网络结构，研究了在监测区域面积给定情况下的最优网络分层问题。
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