Search Results - "Santos, Diego Marín"

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  1. 1

    Fault detection method based on bounded error and dynamic threshold techniques by Suárez Fábrega, Antonio J., Bravo Caro, Jose Manuel, Abad Herrera, Pedro J., Santos, Diego Marín

    “…Summary This work presents a new fault detection method applicable to dynamic systems. This method is based on historic system input–output data and on the…”
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    Journal Article
  2. 2

    Optimal scheduling in concentrating solar power plants oriented to low generation cycling by Cojocaru, Emilian Gelu, Bravo, José Manuel, Vasallo, Manuel Jesús, Santos, Diego Marín

    Published in Renewable energy (01-05-2019)
    “…In a one-day ahead energy market, power plant owners have to provide a generation schedule in advance. A scheduling strategy for concentrating solar power…”
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    Journal Article
  3. 3

    A fast and accurate deep learning method for strawberry instance segmentation by Pérez-Borrero, Isaac, Marín-Santos, Diego, Gegúndez-Arias, Manuel E., Cortés-Ancos, Estefanía

    Published in Computers and electronics in agriculture (01-11-2020)
    “…•New methodology for instance segmentation based on Mask R-CNN.•A reduced architecture for the backbone and the Mask network.•Substitution of the neural…”
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    Journal Article
  4. 4

    A new deep-learning strawberry instance segmentation methodology based on a fully convolutional neural network by Perez-Borrero, Isaac, Marin-Santos, Diego, Vasallo-Vazquez, Manuel J., Gegundez-Arias, Manuel E.

    Published in Neural computing & applications (01-11-2021)
    “…Instance segmentation is one of the image processing problems where deep learning techniques are beginning to show potential. In agriculture, one of its main…”
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    Journal Article
  5. 5

    Automatic detection of crohn disease in wireless capsule endoscopic images using a deep convolutional neural network by Marin-Santos, Diego, Contreras-Fernandez, Juan A., Perez-Borrero, Isaac, Pallares-Manrique, Hector, Gegundez-Arias, Manuel E.

    “…The diagnosis of Crohn’s disease (CD) in the small bowel is generally performed by observing a very large number of images captured by capsule endoscopy (CE)…”
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    Journal Article
  6. 6

    A new deep learning method for blood vessel segmentation in retinal images based on convolutional kernels and modified U-Net model by Gegundez-Arias, Manuel E., Marin-Santos, Diego, Perez-Borrero, Isaac, Vasallo-Vazquez, Manuel J.

    “…•A deep learning-based vessel segmentation method in fundus images is presented.•It uses a convolutional neural network based on a UNet model simplified…”
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    Journal Article