Institution
University of Minho
Education•Braga, Portugal•
About: University of Minho is a education organization based out in Braga, Portugal. It is known for research contribution in the topics: Context (language use) & Population. The organization has 10585 authors who have published 34736 publications receiving 732436 citations. The organization is also known as: Universidade do Minho & UMinho.
Topics: Context (language use), Population, Computer science, Thin film, Masonry
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the properties of polysaccharide multinanolayer solutions such as zeta potential (Zp) and mean hydrodynamic diameter (Z-average) were analyzed using a 2 3 full factorial design.
221 citations
12 Jul 2010
TL;DR: Rminer as mentioned in this paper is an open source library for the R tool that facilitates the use of data mining algorithms, such as neural networks (NNs) and support vector machines (SVMs), in classification and regression tasks.
Abstract: We present rminer, our open source library for the R tool that facilitates the use of data mining (DM) algorithms, such as neural Networks (NNs) and support vector machines (SVMs), in classification and regression tasks. Tutorial examples with real-world problems (i.e. satellite image analysis and prediction of car prices) were used to demonstrate the rminer capabilities and NN/SVM advantages. Additional experiments were also held to test the rminer predictive capabilities, revealing competitive performances.
221 citations
TL;DR: In this article, the authors present a research literature analysis based on a text mining semi-automated approach with the goal of identifying the main trends in this domain, focusing on relevant terms and topics related with five dimensions: big data, marketing, Geographic location of authors' affiliation (countries and continents), products, and Sectors.
220 citations
TL;DR: In this article, a comprehensive study on the influence of three different processing technologies (Selective Laser Melting, Hot Pressing and conventional casting) on the microstructure, mechanical and wear behavior of an austenitic 316L Stainless Steel was presented.
Abstract: This work presents a comprehensive study on the influence of three different processing technologies (Selective Laser Melting, Hot Pressing and conventional casting) on the microstructure, mechanical and wear behavior of an austenitic 316L Stainless Steel. A correlation between the processing technologies, the obtained microstructure and the mechanical and wear behavior was achieved. The results showed that the highest mechanical properties and tribological performance were obtained for 316L SS specimens produced by Selective Laser Melting, when compared to Hot Pressing and conventional casting. The high wear and mechanical performance of 316L Stainless Steel fabricated by Selective Laser Melting are mainly due to the finer microstructure, induced by the process. In this sense, Selective Laser Melting seems a promising method to fabricate customized 316L SS implants with improved mechanical and wear performance.
220 citations
TL;DR: In this paper, a cross-comparative study of the societal and technical barriers of nZEB implementation in 7 Southern European countries is presented, and the authors provide recommendations for actions to shift the identified gaps into opportunities for future development of climate adaptive high performance buildings.
220 citations
Authors
Showing all 10921 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| A. Gomes | 150 | 1862 | 113951 |
| Kazuhiko Hara | 141 | 1956 | 107697 |
| Stefano Giagu | 139 | 1651 | 101569 |
| Georges Azuelos | 134 | 1294 | 90690 |
| Fumihiko Ukegawa | 133 | 1492 | 94465 |
| Luis M. Liz-Marzán | 132 | 616 | 61684 |
| Francesco Lacava | 130 | 1042 | 79680 |
| Jozsef Toth | 130 | 1151 | 86193 |
| Monica Verducci | 129 | 896 | 76002 |
| Andrea Messina | 128 | 939 | 75409 |
| Rostislav Konoplich | 128 | 811 | 73790 |
| Michel Vetterli | 128 | 901 | 76064 |
| Nuno Filipe Castro | 128 | 960 | 76945 |
| Hideki Okawa | 127 | 839 | 73603 |
| Nazim Huseynov | 126 | 833 | 72648 |