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Titlebook: Data Science and Computational Intelligence; Sixteenth Internatio K. R. Venugopal,P. Deepa Shenoy,Sitharama S. Iyeng Conference proceedings

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Simulating ECMO: Rationale and Genesisles the IaaS provider to offer infinite resources based on the pay-per-use model. Although the workflow scheduling problem has been widely investigated, however, most of them are concerned with a single QoS constraint and ignores the consideration of multiple QoS constrained problems. Therefore, thi
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Lillian Su,Seth Kaplan,Mary J. Waller current study focuses on predicting the direction of the cryptocurrency ‘Bitcoin’ for trading window of 3 days, 5 days, and 10 days ahead of the current day. The predictive model proposed is built using ensemble learning via random forest. The model uses feature matrix drawn on technical indicators
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David L. Rodgers,Roberta L. Halesrom traditional networks in terms of separation of the control plane and forwarding functions. The forwarding decisions are sent by the controller to switches and routers. The switches are responsible only for logical forwarding of the packets. Hence performance of any SDN network depends on the per
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Communications in Computer and Information Sciencehttp://image.papertrans.cn/d/image/263090.jpg
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https://doi.org/10.1007/978-3-030-91244-4artificial intelligence; communication systems; computer hardware; computer networks; computer security;
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