Institution
Federal University of São Carlos
Education•São Carlos, Brazil•
About: Federal University of São Carlos is a education organization based out in São Carlos, Brazil. It is known for research contribution in the topics: Population & Microstructure. The organization has 16471 authors who have published 34057 publications receiving 456654 citations. The organization is also known as: UFSCar & Federal University of São Carlos.
Topics: Population, Microstructure, Catalysis, Alloy, Crystallization
Papers published on a yearly basis
Papers
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TL;DR: In this article, a multifunctional epoxy chain extender, Joncryl ADR 4368, was used as compatibilizer to change the morphology and mechanical properties of blown films.
263 citations
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TL;DR: In this paper, the authors performed a systematic comparison of 9 well-known clustering methods available in the R language assuming normally distributed data, and evaluated the sensitivity of the clustering algorithms with regard to their parameters configuration.
Abstract: Many real-world systems can be studied in terms of pattern recognition tasks, so that proper use (and understanding) of machine learning methods in practical applications becomes essential. While many classification methods have been proposed, there is no consensus on which methods are more suitable for a given dataset. As a consequence, it is important to comprehensively compare methods in many possible scenarios. In this context, we performed a systematic comparison of 9 well-known clustering methods available in the R language assuming normally distributed data. In order to account for the many possible variations of data, we considered artificial datasets with several tunable properties (number of classes, separation between classes, etc). In addition, we also evaluated the sensitivity of the clustering methods with regard to their parameters configuration. The results revealed that, when considering the default configurations of the adopted methods, the spectral approach tended to present particularly good performance. We also found that the default configuration of the adopted implementations was not always accurate. In these cases, a simple approach based on random selection of parameters values proved to be a good alternative to improve the performance. All in all, the reported approach provides subsidies guiding the choice of clustering algorithms.
263 citations
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TL;DR: In this paper, the utilization of hydrated kaolin as filler reinforcement for thermoplastic starch in order to improve its mechanical properties has been studied and the composites were pre-mixed and processed in an intensive batch mixer at 170°C.
260 citations
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TL;DR: In this article, the effect of solvent type and temperature on the formation of the α and β phases from solution cast PVDF was investigated, and it was shown that the type of phase formed depends on the crystallization rate of PVDF, which in turn is determined by the evaporation rate of the solvent.
259 citations
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TL;DR: In this article, the capacity of raw rice bran for chromium and nickel removal from aqueous solutions was investigated using the Langmuir and Freundlich adsorption models, which are in common use for describing sorption equilibrium for wastewater treatment applications.
258 citations
Authors
Showing all 16693 results
Name | H-index | Papers | Citations |
---|---|---|---|
Akihisa Inoue | 126 | 2652 | 93980 |
Michael R. Hamblin | 117 | 899 | 59533 |
Daniel P. Costa | 89 | 531 | 26309 |
Elson Longo | 86 | 1454 | 40494 |
Ross Arena | 81 | 671 | 39949 |
Tom M. Mitchell | 76 | 315 | 41956 |
José Arana Varela | 76 | 748 | 23005 |
Luiz H. C. Mattoso | 66 | 455 | 17432 |
Steve F. Perry | 66 | 294 | 13842 |
Edson R. Leite | 63 | 535 | 15303 |
Juan Andrés | 60 | 493 | 13499 |
Edward R. T. Tiekink | 60 | 1967 | 21052 |
Alex A. Freitas | 60 | 345 | 14789 |
Mary F. Mahon | 59 | 539 | 14258 |
Osvaldo N. Oliveira | 59 | 614 | 16369 |