Carlos M. Duarte
King Abdullah University of Science and Technology
1234 Papers
6K Citations
Carlos M. Duarte is an academic researcher from King Abdullah University of Science and Technology. The author has contributed to research in topics: Biology & Seagrass. The author has an hindex of 132, co-authored 1173 publications. Previous affiliations of Carlos M. Duarte include University of Western Australia & Iowa State University.
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Papers
Deep Learning Resolves Representative Movement Patterns in a Marine Predator Species
Chengbin Peng,Chengbin Peng,Carlos M. Duarte,Daniel P. Costa,Christophe Guinet,Robert Harcourt,Mark A. Hindell,Clive R. McMahon,Mônica M. C. Muelbert,Michele Thums,Michele Thums,Ka-Chun Wong,Xiangliang Zhang +12 more
TL;DR: This work proposes a carefully designed recurrent neural network and combines it with telemetry data for automatic feature extraction and identification of non-predefined representative patterns of different animal groups.
Hacia un método integrado de identificación de subcentros a escala municipal: un análisis para la región metropolitana de Barcelona
TL;DR: In this paper, a metodo integrado, identifica and valida un conjunto de 15 municipios that act as subcentros metropolitanos, explicando the densidad, the movilidad, and the formacion espacial de the valores inmobiliarios.
•Posted Content
Does Noise Stationarity Matters on Spatial Formation of Real Estate Values? A GWR Analysis for Barcelona's Residential Market.
Carlos M. Duarte
- 24 Jun 2009
TL;DR: In this paper, the impact of noise on the value of a sample of multifamily dwellings at Barcelona was studied using GWR, which resolves spatial dependencies (i.e. spatial autocorrelation) at the same time that considers "soft borders" among submarkets.
Anthropogenic litter density and composition data acquired flying commercial drones on sandy beaches along the Saudi Arabian Red Sea.
TL;DR: In this article, an object detection algorithm, specifically a Faster R-CNN, was used to perform a binary classification in litter and non-litter and to categorize the objects in classes.
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