• A Big Data Platform for Real Time Analysis of Signs of Depression in Social Media 

  Martínez Castaño, Rodrigo; Pichel Campos, Juan Carlos; Losada Carril, David Enrique (MDPI, 2020)

  In this paper we propose a scalable platform for real-time processing of Social Media data. The platform ingests huge amounts of contents, such as Social Media posts or comments, and can support Public Health surveillance ...

• Contribution to the Physical Modelling of Single Charged Defects Causing the Random Telegraph Noise in Junctionless FinFET 

  Atamuratov, Atabek E.; Khalilloev, Mahkam M.; Yusupov, Ahmed; García Loureiro, Antonio Jesús; Chedjou, Jean Chamberlain; Kyandoghere, Kyamakya (MDPI, 2020)

  In this paper, different physical models of single trap defects are considered, which are localized in the oxide layer or at the oxide–semiconductor interface of field effect transistors. The influence of these defects ...

• CT Radiomics in Colorectal Cancer: Detection of KRAS Mutation Using Texture Analysis and Machine Learning 

  González Castro, Víctor; Cernadas García, Eva; Huelga Zapico, Emilio; Fernández Delgado, Manuel; Antúnez López, José Ramón; Souto Bayarri, José Miguel (MDPI, 2020)

  In this work, by using descriptive techniques, the characteristics of the texture of the CT (computed tomography) image of patients with colorectal cancer were extracted and, subsequently, classified in KRAS+ or KRAS-. ...

• Cloud Computing for Climate Modelling: Evaluation, Challenges and Benefits 

  Montes, Diego; Añel, Juan A.; Wallom, David C. H.; Uhe, Peter; Caderno, Pablo V.; Fernández Pena, Anselmo Tomás (MDPI, 2020)

  Cloud computing is a mature technology that has already shown benefits for a wide range of academic research domains that, in turn, utilize a wide range of application design models. In this paper, we discuss the use of ...

• Texture Extraction Techniques for the Classification of Vegetation Species in Hyperspectral Imagery: Bag of Words Approach Based on Superpixels 

  Rey Blanco, Sergio; Blanco Heras, Dora; Argüello Pedreira, Francisco Santiago (MDPI, 2020)

  Texture information allows characterizing the regions of interest in a scene. It refers to the spatial organization of the fundamental microstructures in natural images. Texture extraction has been a challenging problem ...

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