Titlebook: Indicator-Based Monitoring of Regional Economic Integration; Fourth World Report Philippe De Lombaerde,Edgar J. Saucedo Acosta Book 2017 S

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emerging new models and algorithms of computational intelligence are deeply rooted in thevast apparatus of traditional mathematics. Thus, the investigation of connections and synergy between mathematics and computational intelligence is an eminent goal which is periodically pursued by a group of mat

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arly stopping on loss helped prevent overfitting, and a batch size of 75 was used for faster convergence. We generated an accuracy of 90% on the FSL-SEG MRI images whereas the RAW images resulted in an accuracy of 83%. With a value of 0.79 in Area Under the Curve, The CDR (Clinical Dementia Rating)

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Gaspare M. Genna the value delivery from manufacturing data. This paper aims to review the success story of smart manufacturing in semiconductor industry with the focus on data-enabled decision-making and optimization applications based on “Operations Research” (OR) and “Data Science” (DS) perspective. In addition,

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Bruce Byiers,Quentin de Roquefeuilunderlying components. Centroid-adjusted class labelling is a pattern classification preprocessing method that compensates for the possible imprecision of an established external reference test (gold standard) by adjusting, when necessary, design pattern class labels while maintaining the reference

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Joaquín Roys and influence meta privacy. In addition, we recommend some techniques for the protection of meta privacy within the information systems. Further, the paper highlights the importance of ensuring all informational elements of information systems are adequately protected from a privacy perspective.

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Jean-Michel Salmontaset images and 10640 augmented images dataset. Finally, the outcomes will be analyzed separately with respect to precise and loss functions. Before the implementation of augmentation approach, the proposed model has achieved 99.61% training and 77.44% classification accuracies and does not control