Titlebook: Distributed Computing and Artificial Intelligence, 20th International Conference; Sascha Ossowski,Pawel Sitek,Sara Rodríguez Conference pr

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书目名称Distributed Computing and Artificial Intelligence, 20th International Conference网络公开度学科排名




书目名称Distributed Computing and Artificial Intelligence, 20th International Conference被引频次




书目名称Distributed Computing and Artificial Intelligence, 20th International Conference被引频次学科排名




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书目名称Distributed Computing and Artificial Intelligence, 20th International Conference年度引用学科排名




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书目名称Distributed Computing and Artificial Intelligence, 20th International Conference读者反馈学科排名

矿石

resistant

Operation of a Genetic Algorithm Using an Adjustment Function,puter will develop better and better solutions. The results of our experiment show that there is a general improvement over the initial population, both in the total adjustment, as well as the medium and maximum.

祖传财产

hermitage

,Adaptive Learning from Peers for Distributed Actor-Critic Algorithms,th linear time complexity to capture the similarities among agents and assign adaptive weights for aggregating the parameters from neighboring agents. Essentially, a larger weight is assigned to a neighboring agent that performs a similar task or shares a similar objective. The approach has signific

刻苦读书

刻苦读书

,Distributed Control for Traffic Light in Smart Cities: Parameters and Algorithms,ol methods adapted to the architecture presented in previous works and presents the tested algorithms. Finally, conclusions and possible lines of progress are presented. The goal of this article is to contribute to the optimisation and coordination of traffic control systems in smart cities.

sundowning

和平主义

,A Novel System Architecture for Anomaly Detection for Loan Defaults, standard evaluation metrics such as accuracy, precision, recall, F1 score, training and prediction time, and area under the receiver operating characteristic (ROC) curve. The results show that these anomaly detection methods, particularly isolation forest, perform significantly better on unbalanced

spondylosis

,Enabling Distributed Inference of Large Neural Networks on Resource Constrained Edge Devices using orchestrated and managed. We present a novel, multi-stage concept which tackles all associated tasks in one framework. Specifically, distributed inference approaches are complemented with necessary resource management and network orchestration in order to enable distributed inference in the field –