The Use of Artificial Neural Networks to Assess the Capacity of Transport Measures

  In the area of logistics management both managers and engineers rely primarily on proven computational algorithms, for this reason, it is often difficult to convince them to the use of artificial neural networks in solving decision problems. The paper presents the possibilities of using the FANN library in building of a computer application applied in the area of logistics. The possibilities of the component are presented on the example...

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Staged Tuning: A Hybrid (Compile/Install-time) Technique for Improving Utilization of Performance-asymmetric Multicores

Emerging trends towards performance-asymmetric multicore pro-cessors (AMPs) are posing new challenges, because for effectiveutilization of AMPs, code sections of a program must be assignedto cores such that the resource needs of the code sections closelymatch  the  resources  available  at  the  assigned  core.  Computingthis assignment can be difficult especially in the presence of un-known or many target...

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YSA ile Maç Sonucu Tahmini

YSA ile Maç Sonucu Tahmini Bu çalışmada FannTool kullanarak Futbol Maçları için sonuç tahmini yapan YSA modelinin dizayn edip eğitim ve test aşamaları adım adım açıklanmış, sonuçlar değerlendirilmiştir. Öncelikle dizayn edeceğimiz YSA modeli için problemi tanımlayalım. Futbol maçlarının olası 3 sonucu vardır; Galibiyet Beraberlik Mağlubiyet. Girdi olarak Ev Sahibi ve Misafir takıma ait sezon boyunca oynadığı maçlar sonucunda çıkan 9 farklı performans...

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Integration of Neonatal Mortality Prediction Models into a Clinical Decision Support System

Integration of Neonatal Mortality Prediction Models into a Clinical Decision Support System by Hasmik Martirosyan, B.Sc. A thesis submitted to the Faculty of Graduate and Postdoctoral Affairs in partial fulfillment of the requirements for the degree of Master of Applied Science in Biomedical Engineering Ottawa - Carleton Institute for Biomedical Engineering (OCIBME) Carleton University Ottawa, Ontario © 2015 https://curve.carleton.ca/system/files/theses/32040.pdf...

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