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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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How far away in an hour? Daily movements of juvenile golden eagles (Aquila chrysaetos) tracked with satellite telemetry

TL;DR: In this article, the authors tracked the daily movements of three juvenile golden eagles (Aquila chrysaetos) using satellite telemetry and calculated straight distances covered in an hour and throughout a day.
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Ecological Specialization to Fluctuating Resources Prevents Long-Distance Migratory Raptors from Becoming Sedentary on Islands

TL;DR: New data reveal that Eleonora’s falcons do return to the natal colonies in their first year and young birds are able to breed, but the highly specialized strategy of this and other ecologically similar species prevent them from becoming sedentary on islands.
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Do guidelines change outcomes in ventilator-associated pneumonia?

TL;DR: Effects of implementation of current and past guidelines for management and treatment of ventilator-associated pneumonia (VAP) on outcome of intensive care patients are summarized, with particular focus on etiology of VAP, pathogens prediction, appropriate empiric antibiotic therapy and mortality.
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Letters: Bimodal biometric verification based on face and lips

TL;DR: A novel approach to person verification by fusing face and lip features by considering two simple fusion strategies: data fusion before training and score fusion after training, working with two different face databases.
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Stability-based system for bearing fault early detection

TL;DR: Experimental results validate the use of the proposed stability-based system for predictive maintenance in bearings and show the robustness of the system is demonstrated using two publicly available vibration signal databases under several load conditions, with real faults, during multiple machine working states.