Titlebook: Bioinspired Models of Network, Information, and Computing Systems; 4th International Co Eitan Altman,Iacopo Carrera,Yezekael Hayel Conferen

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書目名稱Bioinspired Models of Network, Information, and Computing Systems影響因子(影響力)




書目名稱Bioinspired Models of Network, Information, and Computing Systems影響因子(影響力)學(xué)科排名




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書目名稱Bioinspired Models of Network, Information, and Computing Systems網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Bioinspired Models of Network, Information, and Computing Systems被引頻次




書目名稱Bioinspired Models of Network, Information, and Computing Systems被引頻次學(xué)科排名




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書目名稱Bioinspired Models of Network, Information, and Computing Systems年度引用學(xué)科排名




書目名稱Bioinspired Models of Network, Information, and Computing Systems讀者反饋




書目名稱Bioinspired Models of Network, Information, and Computing Systems讀者反饋學(xué)科排名

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Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engihttp://image.papertrans.cn/b/image/187255.jpg

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https://doi.org/10.1007/978-3-319-51436-9 vampire bats [56,57,58]. In this paper, it is postulated, that low bounding of food capacity (fast saturation) in conjunction with a high demand of food energy (fast starving without food) strongly supports cooperative behavior. These postulations are integrated within the proposed model as an exte

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Perinatal Asphyxia and Kidney Development,s. Previous works on CEAS have focused on reducing the overhead induced by the continuous sampling of paths. In particular, elite selection has been introduced to discard ants that have sampled poor quality paths. This paper focuses on the ability of the system to adapt to changes in dynamic network

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客觀

https://doi.org/10.1007/978-3-030-45414-2 this paper. The solution utilizes different contextual information sources to create and update a view of the communicational situation. Smart diffusion of relevant control data between neighbouring nodes using novel swarm intelligence based method enables spreading of information only to the inter

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Michelle D. Carlson,Gautam R. Shroffate how in pervasive agent-based networks dynamic agents engage in distributed mobile communication exchanges that carry a potential, non-quantified value to be determined. This value can be monetised either as advertisement or as share of revenue profit for an external content or service provider w

disrupt

https://doi.org/10.1007/978-3-030-45414-2opportunistic communications among mobile nodes on the one hand, and evolutionary computation techniques on the other. We present the main components of the platform, describing their functionalities and technical implementation. Finally, we present the hardware–in–the–loop approach we have followed