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Institution

University of Seville

EducationSeville, Andalucía, Spain
About: University of Seville is a education organization based out in Seville, Andalucía, Spain. It is known for research contribution in the topics: Population & Model predictive control. The organization has 20098 authors who have published 47317 publications receiving 947007 citations. The organization is also known as: Universidad de Sevilla.


Papers
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Journal ArticleDOI
TL;DR: The recognition rate of the proposed Convolutional Neural Network reports an accuracy of 99.71% in the German Traffic Sign Recognition Benchmark, outperforming previous state-of-the-art methods and also being more efficient in terms of memory requirements.

182 citations

Journal ArticleDOI
TL;DR: Based on the chemical distribution of metals, it is found that Cd, Zn and Cu are the most mobile metals (i.e., metals that can pass easily into the water under changing environmental conditions).

182 citations

Journal ArticleDOI
TL;DR: The objective of this paper is to design and implement in a four-tank process several distributed control algorithms that are under investigation in the research groups of the authors within the European project HD-MPC.

182 citations

Journal ArticleDOI
TL;DR: In this article, the authors provide a comprehensive evaluation and discussion of the various applications of Pb-210(ex) as a tracer in terrestrial and aquatic environments, with particular emphasis on catchment sediment budget investigations.

182 citations

Journal ArticleDOI
TL;DR: This review presents the state of the art of active droplet generation concepts, which are categorized according to the nature of the induced energy.
Abstract: The reliable generation of micron-sized droplets is an important process for various applications in droplet-based microfluidics. The generated droplets work as a self-contained reaction platform in droplet-based lab-on-a-chip systems. With the maturity of this platform technology, sophisticated and delicate control of the droplet generation process is needed to address increasingly complex applications. This review presents the state of the art of active droplet generation concepts, which are categorized according to the nature of the induced energy. At the liquid/liquid interface, an energy imbalance leads to instability and droplet breakup.

182 citations


Authors

Showing all 20465 results

NameH-indexPapersCitations
Russel J. Reiter1691646121010
Aaron Dominguez1471968113224
Jose M. Ordovas123102470978
Detlef Lohse104107542787
Miroslav Krstic9595542886
María Vallet-Regí9571141641
John S. Sperry9316035602
Jose Rodriguez9380358176
Shun-ichi Amari9049540383
Michael Ortiz8746731582
Bruce J. Paster8426128661
Floyd E. Dewhirst8122942613
Joan Montaner8048922413
Francisco B. Ortega7950326069
Luis Paz-Ares7759231496
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023143
2022567
20213,357
20203,480
20193,032
20182,766