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

ONSET

書(shū)目名稱Distributed Computing and Artificial Intelligence, 20th International Conference影響因子(影響力)




書(shū)目名稱Distributed Computing and Artificial Intelligence, 20th International Conference影響因子(影響力)學(xué)科排名




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書(shū)目名稱Distributed Computing and Artificial Intelligence, 20th International Conference網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Distributed Computing and Artificial Intelligence, 20th International Conference被引頻次




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書(shū)目名稱Distributed Computing and Artificial Intelligence, 20th International Conference讀者反饋




書(shū)目名稱Distributed Computing and Artificial Intelligence, 20th International Conference讀者反饋學(xué)科排名

礦石

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?zhèn)髫?cái)產(chǎn)

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

刻苦讀書(shū)

刻苦讀書(shū)

,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

和平主義

,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 –