Titlebook: Distributed Computing and Artificial Intelligence, 13th International Conference; Sigeru Omatu,Ali Semalat,Javier Bajo Conference proceedi

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书目名称Distributed Computing and Artificial Intelligence, 13th International Conference网络公开度学科排名




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书目名称Distributed Computing and Artificial Intelligence, 13th International Conference被引频次学科排名




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书目名称Distributed Computing and Artificial Intelligence, 13th International Conference读者反馈学科排名

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Distributed Denial of Service (DDoS) Attacks Detection Using Machine Learning Prototypeers with fraudulent requests and denying requests from legitimate users, generating economic losses by unavailable rendered services. Therefore, the aim of this paper is to show the process of detection prototype . attacks using a supervised learning model by Support Vector Machines (SVM), which cap

moratorium

The Algorithm of the Snail: An Example to Grasp the Window of Opportunity to Boost Big Dataelligent data analysis. This research provides a possible solution to analyze the growing quantity of data. An algorithm that can check coordinates to locate suppliers and applicants who live next door. A business application using our algorithm has been developed by the Autour.com company (located

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Structure and Operation of a Basic Genetic Algorithmanswer that tends to be the best over time, satisfied with knowledge on the problem, we can improve the function of evaluation that was always search of inside the current population those solutions that possess the best characteristic and tries to combine them of form to generate solutions still be

委托

Comparison Study Between Chinese Family Tree and Occidental Family Treetionship of the elements: Occidental Family Trees (OFT) and Oriental Family Trees, especially, Chinese Family Trees (CFT). This paper analyzes the efficiency of these two kinds of trees in the context of relationship presentation and extraction of information. Using the developed OFT and CFT present

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Combination of Trees for Guillain-Barré Subtype Classificationdifferent subtypes. In this study, we use a real dataset that contains clinical, serological, and nerve conduction test data obtained from 129 GBS patients. We apply three different decision tree classifiers: C4.5, C5.0 and random forest to predict GBS subtypes in two classification scenarios: four

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Deep Neural Network Architecture Implementation on FPGAs Using a Layer Multiplexing Schemesks, language translation, software design, etc. Deep learning uses a combination of techniques to achieve its prediction accuracy, but essentially all existing approaches are based on multi-layer neural networks with deep architectures, i.e., several layers of processing units containing a large nu

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