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Fusion of clinical data: A case study to predict the type of treatment of bone fractures

, USA , pp. 77–80. Mitchell, H.B. (2014). Data Fusion: Concepts and Ideas , Springer, Berlin/Heidelberg. Ponti, M. (2011). Combining classifiers: From the creation of ensembles to the decision fusion, 2011 24th SIBGRAPI Conference on Graphics, Patterns, and Images Tutorials, Maceio, Alagoas, Brazil , pp. 1–10. Rohlfing, T., Pfefferbaum, A., Sullivan, E. and Maurer, C. (2005). Information fusion in biomedical image analysis: Combination of data vs combination of interpretations, 19th International Conference on Information Processing in Medical

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Approximation of phenol concentration using novel hybrid computational intelligence methods


This paper presents two innovative evolutionary-neural systems based on feed-forward and recurrent neural networks used for quantitative analysis. These systems have been applied for approximation of phenol concentration. Their performance was compared against the conventional methods of artificial intelligence (artificial neural networks, fuzzy logic and genetic algorithms). The proposed systems are a combination of data preprocessing methods, genetic algorithms and the Levenberg-Marquardt (LM) algorithm used for learning feed forward and recurrent neural networks. The initial weights and biases of neural networks chosen by the use of a genetic algorithm are then tuned with an LM algorithm. The evaluation is made on the basis of accuracy and complexity criteria. The main advantage of proposed systems is the elimination of random selection of the network weights and biases, resulting in increased efficiency of the systems.

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Regional Recovery of Gravity Anomaly from the Inversion of Diagonal Components of GOCE Gravitational Tensor: A Case Study in Ethiopia

, Berlin. Sharifi, M. A., Romeshkani, M., Tenzer, R. (2017). On inversion of the second- and third-order gravitational tensors by Stokes’ integral formula for a regional gravity recovery, Stud. Geophys. Geod . 61, 453-468. Sjöberg L.E. and Eshagh M. (2012). A theory on geoid modeling by spectral combination of data from satellite gravity gradiometry, terrestrial gravity and an Earth gravitational model, Acta Geod. Geophys. Hung ., 47, 1, 13-28. Šprlák, M. and Novák, P. (2014) Integral transformations of gradiometric data onto GRACE type of observable

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A Potential Framework for Integration of Architecture and Methodology to Improve Statistical Production Systems

.pdf. (accessed February 12, 2013). Sundgren, B. (2011). Towards a System of Official Statistics Based on a Coherent Combination of Data Sources, Including Surveys and Administrative Data. Available at:¼0. (accessed February 12, 2013). The Open Group (2009). The Open Group Architecture Framework (TOGAF), Version 9. The Open Group: San Francisco, CA. Available from: http

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Factors Influencing Attitudes Towards the Use of CRM’s Analytical Tools in Organizations

Discovery and Data Mining: 6th Pacific-Asia Conference, PAKDD 2002, Taipei, Taiwan. Springer: New York. Chris, J. -S. L. & Chang, H. -C. (2011). The role of technology readiness in self-service technology acceptance. Managing Service Quality, 21(4), 424-444, D’Haena, J., Van den Poela, D. & Thorleuchterb, D. (2013). Predicting customer profitability during acquisition: Finding the optimal combination of data source and data mining technique. Expert Systems with Applications, 40(6), 2007-2012, http

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Governance and Design of Urban Infostructures
Analysing Key Socio-Technical Systems for the Vulnerability and Resilience of Cities

, the combination of data and its interpretation and exploration are less flexible and data exchange is time intensive, but the layers' implementation aligns well with the institutional setting and is therefore straightforward. In distributed systems like service-oriented architectures (SOA) the business logic is provided by web services via a network. These web services bridge the gap between the data layer's resources and the presentation layer's applications. The SOA approach can improve the efficiency and workflow of an urban infostructure (e.g. INSPIRE 2008

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Choreographies of entrepreneurship. How different formats of co-presence are combined to facilitate knowledge creation in seed accelerator programs

through different strategies can be used for mutual “enrichment” ( Dowling/Lloyd/Suchet-Pearson 2016 ). Second, data accessibility was constrained because during the seed accelerator program, actors were rarely available due to the high workload and later they had relocated back to their original workplaces. A combination of data collection strategies thus enhanced availability to a considerable extent. Table 2 Data and cases Case Location of data collection Interviews Observation Ethnographic Interviews DC_1 Berlin/Detroit 4 5 8 DC_2

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