Buscar
Mostrando ítems 1-10 de 109
When External Knowledge Does Not Aggregate in Named Entity Recognition
(2021-01-01)
In the different areas of knowledge, textual data are important sources of information. This way, Information Extraction methods have been developed to identify and structure information present in textual documents. In ...
Automatic Knowledge Extraction Supported by Semantic Enrichment in Medical Records
(Ieee, 2013-01-01)
The volume of digital information is growing considerably in the last two decades and there is currently a huge concern about obtaining this content quickly and effectively. In the health sector it is not different; to ...
Spatial load forecasting using a demand propagation approach
(2011-05-31)
A method for spatial electric load forecasting using multi-agent systems, especially suited to simulate the local effect of special loads in distribution systems is presented. The method based on multi-agent systems uses ...
An Approach To Knowledge Acquisition Based On Verbal Semantics
(IEEE Computer SocLos Alamitos, 2016)
Multi-Agent Framework for Spatial Load Forecasting
(IEEE, 2011-01-01)
A multi-agent framework for spatial electric load forecasting, especially suited to simulate the different dynamics involved on distribution systems, is presented. The service zone is divided into several sub-zones, each ...
An efficient parallel optimization for co-authorship network analysis
(2018-03-27)
Co-authorship analysis in science and technology partnerships provides a vision of cooperation patterns between individuals and organizations and is still widely used to understand and assess scientific collaboration ...
Evaluating a convolutional neural network for feature extraction and tree species classification using uav-hyperspectral images
(2020-08-03)
The classification of tree species can significantly benefit from high spatial and spectral information acquired by unmanned aerial vehicles (UAVs) associated with advanced feature extraction and classification methods. ...
Knowledge extraction using visualization of hemoglobin parameters to identify thalassemia
(2004-09-29)
The analysis of large amounts of data is better performed by humans when represented in a graphical format. Therefore, a new research area called the Visual Data Mining is being developed endeavoring to use the number ...
Evolutionary heuristic to determine future land use
(2008-09-29)
In the spatial electric load forecasting, the future land use determination is one of the most important tasks, and one of the most difficult, because of the stochastic nature of the city growth. This paper proposes a fast ...