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Coco Fusco: My relationship with the Cuban art community in Havana began in the And when looking at performance in Cuba, what criteria did you apply? I did also consult some scholars who work on contemporary Cuban culture. . This reminded me so much of Sondos Shabayek's recent essay for Ibraaz on the .

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Prediction of quality performance using artificial neural networks

Old Password. New Password. Password Changed Successfully Your password has been changed. Returning user. Nature Communications , ; 9 1 DOI: ScienceDaily, 18 September University of California - San Diego.

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Scientists use artificial neural networks to predict new stable materials. Retrieved October 18, from www.

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The paper discusses some selected problems which are included in fourteen supplementary papers, marked in references of these papers as published in this CAMES Special Issue. The attention is focused on: Hybrid Computational Systems, development of modifications of ANNs and methods of their learning, Bayesian neural networks and Bayesian inference methods, damage identification in CE structures, structure health monitoring, applications of ANNs in mechanics of structures and materials, joining of ANNs with measurements on laboratory models and real structures, development of new non-destructive measurement methods, applications of ANNs in health structure monitoring and repair, applications of ANNs in geotechnics and geodesy.

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