Titlebook: Intelligent Distributed Computing XII; Javier Del Ser,Eneko Osaba,Xin-She Yang Conference proceedings 2018 Springer Nature Switzerland AG

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書目名稱Intelligent Distributed Computing XII影響因子(影響力)




書目名稱Intelligent Distributed Computing XII影響因子(影響力)學科排名




書目名稱Intelligent Distributed Computing XII網(wǎng)絡公開度




書目名稱Intelligent Distributed Computing XII網(wǎng)絡公開度學科排名




書目名稱Intelligent Distributed Computing XII被引頻次




書目名稱Intelligent Distributed Computing XII被引頻次學科排名




書目名稱Intelligent Distributed Computing XII年度引用




書目名稱Intelligent Distributed Computing XII年度引用學科排名




書目名稱Intelligent Distributed Computing XII讀者反饋




書目名稱Intelligent Distributed Computing XII讀者反饋學科排名

CRACY

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978-3-030-07616-0Springer Nature Switzerland AG 2018

IRK

Intelligent Distributed Computing XII978-3-319-99626-4Series ISSN 1860-949X Series E-ISSN 1860-9503

Hectic

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1860-949X igent Distributed Computing (IDC 2018), held in Bilbao, SpaiThis book gathers a wealth of research contributions on recent advances in intelligent and distributed computing, and which present both architectural and algorithmic findings in these fields. A major focus is placed on new techniques and a

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Slot Co-allocation Optimization in?Distributed Computing with?Heterogeneous Resourceser, algorithms for efficient and dependable slot selection are studied and compared with known approaches. The novelty of the proposed approach is in a general algorithm efficiently selecting a set of slots according to the specified criterion.

正式演說

Drift Detection over Non-stationary Data Streams Using Evolving Spiking Neural?Networksded approach can be suitable for its adoption in online learning scenarios with severe resource constraints. Experiments with synthetic datasets show that the proposed technique is very competitive when compared to other drift detection techniques.

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A Hybrid Optimization Algorithm for Standardization of Maintenance Plansution depending of the use case, but it does not find reliable results in a generic way. The new hybrid approach with 4 different algorithms shows that better results are obtained than the use of the individual optimization algorithms.