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Depósito Digital de Documentos de la UAB Encontrados 27 registros  1 - 10siguientefinal  ir al registro: La búsqueda tardó 0.01 segundos. 
1.
47 p, 1.4 MB The benefits of voluntary physical exercise after traumatic brain injury on rat's object recognition memory : A comparison of different temporal schedules / Amorós-Aguilar, Laura (Universitat Autònoma de Barcelona. Departament de Psicobiologia i de Metodologia de Ciències de la Salut) ; Portell Cortés, Isabel (Universitat Autònoma de Barcelona. Institut de Neurociències) ; Costa Miserachs, David (Universitat Autònoma de Barcelona. Institut de Neurociències) ; Torras Garcia, Meritxell (Universitat Autònoma de Barcelona. Institut de Neurociències) ; Riubugent-Camps, Èlia (Universitat Autònoma de Barcelona. Institut de Neurociències) ; Almolda Ardid, Beatriz (Universitat Autònoma de Barcelona. Departament de Biologia Cel·lular, de Fisiologia i d'Immunologia) ; Coll-Andreu, Margalida (Universitat Autònoma de Barcelona. Institut de Neurociències)
Physical exercise can reduce the cognitive decline associated with traumatic brain injury, yet little is known about the optimal administration schedules. Here, different protocols of voluntary wheel running were evaluated for their effects on object recognition memory (ORM), neuroprotection (NeuN+ cells), microglial reactivity (Iba1 staining) and neurogenesis (DCX+ cells) after controlled cortical impact injury (CCI). [...]
2020 - 10.1016/j.expneurol.2020.113178
Experimental Neurology, Vol. 326 (2020)  
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2.
15 p, 5.4 MB Neural substrates of cognitive impairment in a NMDAR hypofunction mouse model of schizophrenia and partial rescue by risperidone / Delgado-Sallent, Cristina (Institut Hospital del Mar d'Investigacions Mèdiques) ; Gener, Thomas (Institut Català de Nanociència i Nanotecnologia) ; Nebot, Pau (Institut Hospital del Mar d'Investigacions Mèdiques) ; López-Cabezón, Cristina (Universitat Autònoma de Barcelona. Institut de Neurociències) ; Puig, Maria Victoria (Institut Català de Nanociència i Nanotecnologia)
N-methyl D-aspartate receptor (NMDAR) hypofunction is a pathophysiological mechanism relevant for schizophrenia. Acute administration of the NMDAR antagonist phencyclidine (PCP) induces psychosis in patients and animals while subchronic PCP (sPCP) produces cognitive dysfunction for weeks. [...]
2023 - 10.3389/fncel.2023.1152248
Frontiers in cellular neuroscience, Vol. 17 (march 2023)  
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3.
12 p, 612.2 KB Xarxes neuronals sobre plataformes encastades per l'espai / Labajos Martín De Villodres, Alejandro ; Montón i Macián, Màrius, dir. (Universitat Autònoma de Barcelona. Departament de Microelectrònica i Sistemes Electrònics) ; Universitat Autònoma de Barcelona. Escola d'Enginyeria
Dins del marc de treball i de les necessitats del projecte Víbria de l'Institut d'Estudis Espacials de Catalunya, aquest treball busca implementar un sistema electrònic encastat per al reconeixement i classificació d'imatges sobre microcontroladors tipus ARM-Cortex i RISC-V fent ús de les instruccions vectorials d'aquesta darrera arquitectura emergent. [...]
Dentro del marco de trabajo y las necesidades del proyecto Víbria del Instituto de Estudios Espaciales de Cataluña, este trabajo busca implementar un sistema electrónico encastado para el reconocimiento y clasificación de imágenes sobre microcontroladores tipos ARM-Cortex y RISC-V usando las instrucciones vectoriales de esta segunda arquitectura emergente. [...]
Within the framework and project requirements of Víbria at the Institute of Space Studies of Catalonia, this study aims to.
2023
Enginyeria Informàtica [958]  
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4.
125 p, 8.7 MB Reducing Label Effort with Deep Active Learning / Zolfaghari Bengar, Javad ; Weijer, Joost van de, dir. ; Raducanu, Bogdan, dir.
Les xarxes neuronals convolucionals profundes (CNN) han aconseguit un rendi ment superior en moltes aplicacions de reconeixement visual, com la classificació, detecció i segmentació d'imatges. El entrenament de CNN profundes requereix grans quantitats de dades etiquetades, que tenen un alt cost i son laboriosos de recollir. [...]
Deep convolutional neural networks (CNNs) have achieved superior performance in many visual recognition applications, such as image classification, detection and segmentation. Training deep CNNs requires huge amounts of labeled data, which is expensive and labor intensive to collect. [...]
2021  
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5.
143 p, 11.7 MB Visual Saliency for Object Recognition, and Object Recognition for Visual Saliency / Figueroa Flores, Carola ; Weijer, Joost van de, dir. ; Raducanu, Bogdan, dir.
Per als humans, el reconeixement d'objectes és un procés gairebé instantani, precís i extremadament adaptable. A més, tenim la capacitat innata d'aprendre classes d'objectes nous a partir d'uns pocs exemples. [...]
El reconocimiento de objetos para los seres humanos es un proceso instantáneo, preciso y extremadamente adaptable. Además, tenemos la capacidad innata de aprender nuevas categorias de objetos a partir de unos pocos ejemplos. [...]
For humans, the recognition of objects is an almost instantaneous, precise and extremely adaptable process. Furthermore, we have the innate capability to learn new object classes from only few examples. [...]
2021  
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6.
13 p, 2.0 MB A comparison of an RGB-D camera's performance and a stereocamera in relation to object recognition and spatial position determination / Rodriguez, Julian Severiano (Universidad de San Buenaventura (Bogotá, Colombia))
Results of using an RGB-D camera (Kinect sensor) and a stereo camera, separately, in order to determine the 3D real position of characteristic points of a predetermined object in a scene are presented. [...]
2021 - 10.5565/rev/elcvia.1238
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 20 Núm. 1 (2021) , p. 16-27 (Regular Issue)  
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7.
5 p, 543.8 KB Processing historical photographs and film footage with Photogrammetry and Artificial Intelligence for Cultural Heritage documentation and virtual reconstruction / Condorelli, Francesca
The specific objective of this thesis is to offer an excursion through the metric potentialities of different data available in historical archives, by considering the essential role of photogrammetry. [...]
2020 - 10.5565/rev/elcvia.1323
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 19 Núm. 2 (2020) , p. 11-16 (Special Issue on Recent PhD Thesis Dissemination (2020))  
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8.
16 p, 494.0 KB Face Analysis Using Row and Correlation Based Local Directional Pattern / Ramalingam, Srinivasa Perumal (Vellore Institute of Technology (Vellore, Índia). School of Information Technology and Engineering) ; Mouli, Chandra (Central University of Tamil Nadu (Tamil Nadu, Índia). Department of Computer Science)
Face analysis, which includes face recognition and facial expression recognition, has been attempted by many researchers and gave ideal solutions. The problem is still active and challenging due to an increase in the complexity of the problem viz. [...]
2020 - 10.5565/rev/elcvia.1254
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 19 Núm. 3 (2020) , p. 55-70 (Regular Issue)  
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9.
15 p, 829.0 KB Automated Leaf Alignment and Partial Shape Feature Extraction for Plant Leaf Classification / Hamid, Laith Emad (Universiti Putra Malaysia (Selangor, Malàisia). Department of Computer and Communication System Engineering) ; Al-Haddad, Syed Abdul Rahman (Universiti Putra Malaysia (Selangor, Malàisia). Department of Computer and Communication System Engineering)
The last few decades have witnessed various approaches to automate the process of plant classification using the characteristics of the leaf. Several approaches have been proposed, and the majority focused on global shape features. [...]
2019 - 10.5565/rev/elcvia.1143
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 18 Núm. 1 (2019) , p. 37-51 (Regular Issue)  
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10.
4 p, 515.1 KB Selection of relevant information to improve Image Classification using Bag of Visual Words / Fidalgo Fernández, Eduardo ; Alegre Gutiérrez, Enrique, dir. (Universidad de León. Departamento de Ingeniería Eléctrica y de Sistemas y Automática) ; González-Castro, Víctor, dir. (Universidad de León. Departamento de Ingeniería Eléctrica y de Sistemas y Automática)
One of the main challenges in computer vision is image classification. Nowadays the number of images increases exponentially every day; therefore, it is important to classify them in a reliable way. [...]
2017 - 10.5565/rev/elcvia.1102
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 16 Núm. 2 (2017) , p. 5-8 (Special Issue on Recent PhD Thesis Dissemination (2017))  
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Depósito Digital de Documentos de la UAB : Encontrados 27 registros   1 - 10siguientefinal  ir al registro:
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