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Titlebook: Networked Systems; 4th International Co Parosh Aziz Abdulla,Carole Delporte-Gallet Conference proceedings 2016 Springer International Publi

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樓主: Iodine
51#
發(fā)表于 2025-3-30 08:30:25 | 只看該作者
52#
發(fā)表于 2025-3-30 16:12:59 | 只看該作者
Sanae El Mimouni,Mohamed Bouhdadient. The data indicate that Slovenian residents have generally held a positive attitude towards the EU, showing a relatively strong sense of belonging to Europe. While there was little widespread Euroscepticism, sporadic instances had surfaced in less economically developed areas and among individua
53#
發(fā)表于 2025-3-30 17:54:56 | 只看該作者
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發(fā)表于 2025-3-30 23:46:02 | 只看該作者
55#
發(fā)表于 2025-3-31 03:44:48 | 只看該作者
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發(fā)表于 2025-3-31 07:40:04 | 只看該作者
Exploiting Concurrency in Domain-Specific Data Structures: A Concurrent Order Book and Workload Gento simplify the development of concurrent programs, they are not always readily applicable to domain-specific problems that rely on complex shared data structures associated with various semantics (e.g., priorities or consistency). In this paper, we explore such a domain-specific application from th
57#
發(fā)表于 2025-3-31 12:27:15 | 只看該作者
Fault Tolerant P2P RIA Crawling, to traditional web applications. Distributed RIA crawling has been introduced with the aim of decreasing the crawling time due to the large size of RIAs. However, the current RIA crawling systems do not allow for tolerance to failures that occur in one of their components. In this paper, we address
58#
發(fā)表于 2025-3-31 15:47:00 | 只看該作者
Nearest Neighbors Graph Construction: Peer Sampling to the Rescue,n systems, information retrieval and data mining. KPS borrows concepts from P2P gossip-based clustering protocols to provide a . and efficient KNN computation in large-scale systems. KPS is a sampling-based iterative approach, combining randomness, to provide serendipity and avoid local minimum, and
59#
發(fā)表于 2025-3-31 18:25:46 | 只看該作者
Accurate Optimization Method for Allocation of Heterogeneous Resources in Embedded Systems,embedded systems. The proposed method is based on Mixed Binary Nonlinear Programming (MBNLP) using piecewise linear relaxations and uses the fast branch and bound algorithm for the minimization of a convex nonlinear objective function over binary variables subject to convex nonlinear constraints. Th
60#
發(fā)表于 2025-3-31 22:32:22 | 只看該作者
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