Titlebook: Wireless Algorithms, Systems, and Applications; 15th International C Dongxiao Yu,Falko Dressler,Jiguo Yu Conference proceedings 2020 Spring

歌劇等

0302-9743 sis, wireless crowdsourcing, mobile cloud computing, vehicular networks, wireless solutions for smart cities, wireless algorithms for smart grids, mobile social networks, mobile system security, storage systems for mobile applications, etc..978-3-030-59015-4978-3-030-59016-1Series ISSN 0302-9743 Series E-ISSN 1611-3349

phase-2-enzyme

Maximizing the Expected Influence in Face of the Non-progressive Adversaryverage number of active nodes over a certain period of time, and .-approximation in expectation with a randomized algorithm. Furthermore, we also consider the extension of the non-progressive threshold model in the two-agents case, in which the similar approximation results can be achieved.

ear-canal

Oration

Camera Style Guided Feature Generation for Person Re-identificationnformation. Moreover, the training process can be directly injected into the re-ID task in an end-to-end manner, which means we can deploy our methods with much less time and space costs. Experiments show the validity of the generative model and its benefits towards re-ID performance on Market-1501 and DukeMTMC-reID datasets.

羊齒

Sync or Fork: Node-Level Synchronization Analysis of Blockchainesponders and that of partial nodes as requesters. Based on that, we further reveal the most efficient path to speed up synchronization from full nodes and design the best synchronization request scheme based on the concept of correlated equilibrium for partial nodes. Extensive experimental results demonstrate the effectiveness of our analysis.

Antigen

SDTCNs: A Symmetric Double Temporal Convolutional Network for Chinese NER in this paper is used to fuse location features and class features to obtain the final named entity. Experiments on various datasets show that SDTCNs outperforms multiple state-of-the-art models for Chinese NER, achieving the best results.

事物的方面

Reinforcement Learning Based Group Event Invitation Algorithmt existing services and platforms focus on distributing event invitations based on user profiles thus neglecting the fact that event attendees can significantly affect each other’s degree of satisfaction. To address this issue, we propose a reinforcement learning based group event invitation algorit

灌輸

OSCD: An Online Charging Scheduling Algorithm to Optimize Cost and Smoothnesseen the immediate charging cost and the future maintenance cost. In this paper, we model the two optimization objectives and employ the efficiency coefficient method to transform the two optimization objectives into a single one. In addition, we propose a heuristic algorithm called OSCD (Online Smoo

擁護(hù)者

Maximizing the Expected Influence in Face of the Non-progressive Adversarynderlying network is acyclic, the direct extension of the classic .[.] does not preserve the submodularity of the objective function that measures the influence effect. In this paper, we introduce a new feature called . to the threshold model, and relax the constraint of the threshold selection to a

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