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Miguel Ferrer

Researcher at University of Las Palmas de Gran Canaria

Publications -  499
Citations -  13116

Miguel Ferrer is an academic researcher from University of Las Palmas de Gran Canaria. The author has contributed to research in topics: Population & Signature (logic). The author has an hindex of 58, co-authored 478 publications receiving 11560 citations. Previous affiliations of Miguel Ferrer include Spanish National Research Council & Ministry of Science and Innovation.

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IMAFISH_ML: A fully-automated image analysis software for assessing fish morphometric traits on gilthead seabream (Sparus aurata L.), meagre (Argyrosomus regius) and red porgy (Pagrus pagrus)

TL;DR: The IMAFISH_ML software provides fish farmers and researchers with an efficient, fast and automatic tool to objectively asses morphological and growth traits, and is an especially useful tool to be included within genetic breeding programs, as it provides a high number of fast, easy-to-perform and non-invasive traits measurements.
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Density dependence hypotheses and the distribution of fecundity.

TL;DR: It is concluded that significant and strong correlations between mean and CV or skewness are expected under a biologically plausible assumption about brood size distribution, and that the two hypotheses cannot therefore be distinguished.
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First successful breeding of reintroduced ospreys pandion haliaetus in mainland Spain

TL;DR: La primera pareja reproductora crio con exito tres pollos en las marismas del Odiel, siendo esta la primera vez en Espana continental desde su extincion en 1981, constituye un importante indicador para the evaluacion del proyecto y el inicio oficial de una futura poblacion.
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Rescue of a small declining population of Spanish imperial eagles

TL;DR: The conservation actions applied were effective in a relatively short period and made possible the rescue of the threatened population from the extinction vortex, predicting population persistence increased up to nearly six times after the application of the action plan.
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An approach to SWIR hyperspectral hand biometrics

TL;DR: Results show that local spectral properties of human tissue are effective discriminants for biometric recognition with a performance near to or better than that obtained by other hand traits, which makes the hyperspectral features a promising alternative for person identification.