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Titlebook: Algorithms and Architectures for Parallel Processing; 23rd International C Zahir Tari,Keqiu Li,Hongyi Wu Conference proceedings 2024 The Ed

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https://doi.org/10.1007/978-3-531-90985-1n the 38 KEEL datasets, DT classifier and eleven comparison methods. Experimental results show that our method outperforms the other compared methods in terms of Fmeasure, AUC, Gmean. The codes of NGOS are released in
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https://doi.org/10.1007/978-3-531-90985-1nvironments lacking block-wise parallelism (e.g., cipher block chaining (CBC) mode), our approach reduces context switches over 50% and decreases average task pending time around 75% with similar hardware needs.
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https://doi.org/10.1007/978-3-531-90985-1location determined by the workload type, and 2) optimization problem of computation resources allocation under given offloading profile. Extensive experiments demonstrate that CIDA achieves superior performance compared to other approaches and scales well as the system size increases.
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,LearnedSync: A Learning-Based Sync Optimization for Cloud Storage,ed records by using the multilayer perceptron (MLP) network to select for appropriate sync method, and (3) regularly update the network to improve the accuracy of decision-making continuously. Our experimental results show that the efficiency of LearnedSync is higher than existing full sync, FSC-bas
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,Intrusion Detection Method for Networked Vehicles Based on Data-Enhanced DBN,detection algorithms. In addition, compared with the method of merge-generate data set approach, the accuracy rate, recall rate, F1 value and other evaluation indexes of the proposed model for the few samples detection have been greatly improved. Therefore, it can be considered that the proposed mod
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