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Mostrando ítems 11-20 de 780
Artículo
SLA‑aware operational efciency in AI‑enabled service chains: challenges ahead
(Springer, 2022-01-28)
Service providers compose services in service chains that require deep integration of core operational information systems across organizations. Additionally, advanced analytics inform data-driven decision-making in ...
Artículo
Editorial: web and database technologies in business solutions
(Inderscience, 2004)
Artículo
Mapping RDF knowledge bases using exchange samples
(Elsevier, 2016)
Nowadays, the Web of Data is in its earliest stages; it is currently organised into a variety of linked knowledge bases that have been developed independently by different organisations. RDF is one of the most popular ...
Artículo
Energy Saving Policies in Grid Computing and Smart Environments
(IOS Press, 2014)
This work studies the problem of energy consumption growth in two spheres: Grid-Computing and Smart Environments. These problems are tackled through the establishment of energy-saving policies developed for each environment ...
Artículo
Two deep learning approaches to forecasting disaggregated freight flows: convolutional and encoder–decoder recurrent
(Springer, 2021)
Time series forecasting of disaggregated freight flow is a key issue in decision-making by port authorities. For this purpose and to test new deep learning techniques we have selected seven time series of imported goods ...
Artículo
Relocatable control systems: an alternative for maintenance
(IEEE Computer Society, 1990)
The Compania Sevillana de Electricidad (CSE), which produces and distributes electric power to the whole south of Spain, has a number of small control centers with old equipment to be maintained for which it is difficult ...
Artículo
Support vector machines for classification of input vectors with different metrics
(ScienceDirect, 2011-05)
In this paper, a generalization of support vector machines is explored where it is considered that input vectors have different ℓp norms for each class. It is proved that the optimization problem for binary classification ...
Artículo
Filter‑based feature selection in the context of evolutionary neural networks in supervised machine learning
(Springer, 2020)
This paper presents a workbench to get simple neural classifcation models based on product evolutionary networks via a prior data preparation at attribute level by means of flter-based feature selection. Therefore, the ...
Artículo
Support vector machines for interval discriminant analysis
(ScienceDirect, 2008-03)
The use of data represented by intervals can be caused by imprecision in the input information, incompleteness in patterns, discretization procedures, prior knowledge insertion or speed-up learning. All the existing support ...
Artículo
Improving the Automatic Procurement of Web Services Using Constraint Programming
(World Scientific Publishing, 2005)