Titlebook: Intelligent Systems Design and Applications; 22nd International C Ajith Abraham,Sabri Pllana,Anu Bajaj Conference proceedings 2023 The Edit

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,Prediction of Business Process Execution Time,oding categorical variables. Then, at the modelling level, we test six classification algorithms : KNN, SVM(kernel=linear), SVM(kernel=rbf), Decision Tree, Random Forest and Logestic Regression. Then, using the BPETPM method, we create an intelligent process management system (iBPMS4PET). This syste

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An Investigative Approach on the Prediction of Isocitrate Dehydrogenase (IDH1) Mutations and Co-delage of enhancing tumours, multifocal/multicentric distribution, and poorly defined non enhancing margins were all independent predictors of an IDH1 wild type. Comparing the IDH1-mutant, no codeletion group to the IDH1-mutant, 1p/19q-codeleted group, the latter typically exhibited mixed/restricted di

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Luís Fabrício de F. Souza,José Jerovane da Costa Nascimento,Cyro M. G. Sabóia,Adriell G. Marques,Gui

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Orrana Lhaynher Veloso Sousa,David Pereira da Silva,Victor Eulalio Sousa Campelo,Romuere Rodrigues V

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Abdessamad Saidi,Mohamed Hadj Kacem,Imen Tounsi,Ahmed Hadj Kacem

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Mohamed Zouidine,Mohammed Khalil,Abdelhamid Ibn El Farouk