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Spatial patterns of conditions leading to peak O3 concentrations revealed by clustering analysis of modeled data
(Springer, 2019-06)
Air quality models are currently the best available tool to estimate ozone (O3) concentrations in the Metropolitan Area of Buenos Aires (MABA). While the DAUMOD-GRS has been satisfactorily evaluated against observations ...
Named entities as privileged information for hierarchical text clustering
(Association for Computing Machinery - ACMInstituto Superior de Engenharia do Porto - ISEPPorto, 2014-07)
Text clustering is a text mining task which is often used to aid the organization, knowledge extraction, and exploratory search of text collections. Nowadays, the automatic text clustering becomes essential as the volume ...
Cluster: um software para auxílio em estudos de dados biológicos
(Universidade Federal de Minas GeraisUFMG, 2015-11-16)
The ever increasing availability of biological data gives rise to two problems: (i) data storage and management and (ii) the extraction of useful information from these data. The latter problem is one of the main challenges ...
Estimates of genetic parameters and cluster analyses for carcass and meat quality traits in birds
(Empresa Brasil Pesq Agropec, 2017-03-01)
The objective of this work was to estimate genetic parameters for bird carcass and meat quality traits, as well as to explore the genetic patterns of the breeding values of this population using cluster analyses. Data from ...
A new methodology for source apportionment of gaseous industrial emissions
(2023)
Air quality modeling (AQM) is often used to investigate gaseous pollution around industrial zones. However, this methodology requires accurate emission inventories, unbiased AQM algorithms and realistic boundary conditions. ...
Método para desenvolvimento de práticas de gestão integrada em clusters industriaisMethod for introducing collectively integrated management practices in industrial clusters
(Associação Brasileira de Engenharia de Produção, 2014)
Water quality assessment using multivariate statistical techniques in Río Tercero Reservoir, Argentina
(Nordic Association for Hydrology, 2015-06)
Water quality monitoring programs generate complex multidimensional data sets. In this study, multivariate statistical techniques were employed as an effective tool for the analysis and interpretation of these water quality ...