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| Registros recuperados: 10 | |
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| Schemberger,Elder E.; Fontana,Fabiane S.; Johann,Jerry A.; Souza,Eduardo G. De. |
| ABSTRACT Precision Agriculture (PA) uses technologies with the aim of increasing productivity and reducing the environmental impact by means of site-specific application of agricultural inputs. In order to make it economically feasible, it is essential to improve the current methodologies as well as proposing new ones, in which data regarding productivity, soil, and compound indicators are used to determine Management Areas (MAs). These units are heterogeneous areas within the same region. With these methodologies, data mining (DM) techniques and algorithms may be used. In order to integrate DM techniques to PA, the aim of this study was to associate MAs created for soy productivity using the Fuzzy C-means algorithm by SDUM software over a 9.9-ha plot as... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Algorithms; EM; KDD; K-means; Weka. |
| Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162017000100185 |
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| HIGA, R. H.; GIACHETTO, P. F.; YAMAGISHI, M. E. B.; IBELLI, A. M. G.; REGITANO, L. C. de A.; CARDOSO, F. F.. |
| O objetivo deste trabalho é apresentar a análise de agrupamento de dados de expressão gênica, conforme realizada no escopo da ?Rede Genômica Animal?. Na seção 2, são apresentados conceitos básicos sobre análises de agrupamento. Em particular, os algoritmos de agrupamento utilizados nessas análises compreendem aqueles mais conhecidos, como k-means, SOM e agrupamento hierárquico. A plataforma de análise escolhida para realização das análises de agrupamento na ?Rede Genômica Animal? é o ambiente de análise estatística R (R DEVELOPMENT CORE TEAM, 2010) e o projeto Bioconductor (GENTLEMAN et al., 2004). Assim, na seção 3 é apresentado um exemplo completo de análise de agrupamento e seu respectivo script R. |
| Tipo: Folhetos |
Palavras-chave: Agrupamento de dados; Expressão gênica; Rede Genômica Animal; Análise de componentes principais; PCA; Análise Estatística; Gene expression; Algorithms; Statistical analysis; Principal component analysis. |
| Ano: 2010 |
URL: http://www.infoteca.cnptia.embrapa.br/infoteca/handle/doc/883623 |
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| Morel, A.; Claustre, H.; Antoine, D.; Gentili, B.. |
| The optical properties of Case 1 waters have been empirically related to the chlorophyll concentration, [Chl], historically used as an index of the trophic state and of the abundance of the biological materials. The well-known natural variability around the mean statistical relationships is here examined by comparing the apparent optical properties (spectral downward irradiance attenuation and reflectance) as a function of [Chl] in two Case 1 environments, the Pacific and Mediterranean waters. These oceanic zones apparently represent two extremes of the possible bio-optical variability range around the mean. The systematic deviations, in both directions with respect to the average laws, mainly result from the differing contents in non-algal detrital... |
| Tipo: Text |
Palavras-chave: Light absorption; Algal biomass; Ocean color; Chlorophyll; Sea; Phytoplankton; Model; Coefficients; Algorithms. |
| Ano: 2007 |
URL: https://archimer.ifremer.fr/doc/00209/32012/30549.pdf |
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| Siegelman, Lia; Roquet, Fabien; Mensah, Vigan; Riviere, Pascal; Pauthenet, Etienne; Picard, Baptiste; Guinet, Christophe. |
| Most available CTD Satellite Relay Data Logger (CTD-SRDL) profiles are heavily compressed before satellite transmission. High-resolution profiles recorded at the sampling frequency of 0.5 Hz are, however, available upon physical retrieval of the logger. Between 2014 and 2018, several loggers deployed on elephant seals in the Southern Ocean have been set in continuous recording mode, capturing both the ascent and descent for over 60 profiles per day during several months, opening new horizons for the physical oceanography community. Taking advantage of a new dataset made of seven such loggers, a postprocessing procedure is proposed and validated to improve the quality of all CTD-SRDL data: that is, both high-resolution profiles and compressed low-resolution... |
| Tipo: Text |
Palavras-chave: Algorithms; Data processing; In situ oceanic observations. |
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00494/60567/64043.pdf |
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| Registros recuperados: 10 | |
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