Exploració per títol

Ara es mostren els items 54419-54438 de 245299

    • Deep Learning based segmentation and classification of stained nuclei breast cancer histology images 

      Magariño Llavero, Pau (Universitat Politècnica de Catalunya, 2021-06-28)
      Treball Final de Grau
      Accés obert
      La prognosi del càncer de mama és un procés laboriós pels patòlegs, que realitzen aquesta tasca mitjançant una estimació visual subjectiva i amb una alta variabilitat entre diferents patòlegs. Aquest treball pretén abordar ...

    • Deep Learning Based Textual Metadata Matcher 

      Cabrera Fernández, Francesc-Carles (Universitat Politècnica de Catalunya, 2019-10-23)
      Treball Final de Grau
      Accés restringit per acord de confidencialitat

    • Deep learning bottle-neck features for speaker recognition 

      Cumalat Puig, Eudald (Universitat Politècnica de Catalunya, 2018-10)
      Treball Final de Grau
      Accés obert
      Speaker recognition is a very useful and powerful technology that has many interesting security applications, which makes it an investigation field to pour on many efforts. Recognizing whether a person is who he/she claims ...

    • Deep learning detection of GPS spoofing 

      Jullian Parra, Olivia; Otero Calviño, Beatriz; Stojilovic, Mirjana; Costa Prats, Juan José; Verdú Mulà, Javier; Pajuelo González, Manuel Alejandro (Springer Nature, 2022)
      Text en actes de congrés
      Accés obert
      Unmanned aerial vehicles (UAVs) are widely deployed in air navigation, where numerous applications use them for safety-of-life and positioning, navigation, and timing tasks. Consequently, GPS spoofing attacks are more and ...

    • Deep Learning detection of GPS spoofing in unmanned aerial vehicles 

      Jullian Parra, Olivia (Universitat Politècnica de Catalunya, 2021-07-09)
      Treball Final de Grau
      Accés restringit per decisió de l'autor
      Realitzat a/amb:   École polytechnique fédérale de Lausanne

    • Deep Learning Efficient algorithms for Micromobility Safety Applications 

      Ambrós Vivancos, Mireia (Universitat Politècnica de Catalunya, 2022-07-04)
      Treball Final de Grau
      Accés obert
      This project consists of the implementation of efficient Deep Learning algorithms in order to increase safety in urban micromobility. It analyses software that is capable of identifying the type of road on which a light ...

    • Deep learning en la detección de lesiones cutáneas malignas 

      Espasa Rosell, Jordi (Universitat Politècnica de Catalunya, 2022-05-03)
      Treball Final de Grau
      Accés obert
      El deep learning es una prometedora especialidad en el ámbito de la inteligencia artificial que permite extraer características de conjuntos de datos mediante una estructura lógica por capas, de manera similar a como actúa ...

    • Deep Learning For Aircraft Health Management 

      Rocamora Ardèvol, Sergi (Universitat Politècnica de Catalunya, 2018)
      Projecte Final de Màster Oficial
      Accés obert
      Realitzat a/amb:   Institut Supérieur de l'Aéronautique et de l'Espace

    • Deep Learning for Computer Vision 

      Barios Gros, Gabriel (Universitat Politècnica de Catalunya, 2021-06-21)
      Projecte Final de Màster Oficial
      Accés obert
      Realitzat a/amb:   SISAPTEC

    • Deep Learning for Demographic Classification by Speech 

      Navarrete Jiménez, Daniel (Universitat Politècnica de Catalunya, 2022-10-26)
      Projecte Final de Màster Oficial
      Accés obert
      Speech characterization is a challenging task and one of the most relevant challenges in AI. Moreover, it is a field of study with minimal scope in the Catalan language. In this work, we try to perform a demographic ...

    • Deep learning for detecting freezing of gait episodes in Parkinson’s disease based on accelerometers 

      Camps Sereix, Julià; Samà Monsonís, Albert; Martín Muñoz, Mario; Rodríguez Martín, Daniel Manuel; Pérez López, Carlos; Alcaine, Sheila; Mestre, Berta; Prats, Anna; Crespo, M. Cruz; Cabestany Moncusí, Joan; Bayés, Àngels; Català Mallofré, Andreu (2017)
      Text en actes de congrés
      Accés obert
      Freezing of gait (FOG) is one of the most incapacitating symptoms among the motor alterations of Parkinson’s disease (PD). Manifesting FOG episodes reduce patients’ quality of life and their autonomy to perform daily living ...

    • Deep learning for digital typhoon 

      Rodés Guirao, Lucas (Universitat Politècnica de Catalunya, 2018-06-29)
      Projecte Final de Màster Oficial
      Accés obert
      Efficient early warning systems can help in the management of natural disaster events, by allowing for adequate evacuations and resources administration. Several different approaches have been used to implement proper early ...

    • Deep Learning for digitally stained confocal microscopy 

      García Campderrich, Sergio (Universitat Politècnica de Catalunya, 2019-10-14)
      Treball Final de Grau
      Accés obert
      Confocal microscopy is a technology that enables pathologists the rapid analysis of tissue samples for carcinoma detection. However, this technology hasn't established yet in the standard clinical practice because most ...

    • Deep Learning for earthquake detection 

      Mus León, Sergi (Universitat Politècnica de Catalunya, 2021-07-08)
      Treball Final de Grau
      Accés obert
      Realitzat a/amb:   Barcelona Supercomputing Center
      The creation of accurate ground motion models can only be achieved with the help ofvast amounts of labelled data. The manual cataloging makes the processing of this data.The project proposes the automation of the labeling ...

    • Deep learning for experimental hybrid terrestrial and satellite interference management 

      Henarejos, Pol; Vázquez Oliver, Miguel Ángel; Pérez Neira, Ana Isabel (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      Interference Management is a vast topic present in many disciplines. The majority of wireless standards suffer the drawback of interference intrusion and the network efficiency drop due to that. Traditionally, interference ...

    • Deep learning for food instance segmentation 

      Molina Rodríguez De Vera, Jesús (Universitat Politècnica de Catalunya, 2023-01-25)
      Projecte Final de Màster Oficial
      Accés obert
      Food object detection and instance segmentation are critical in many applications such as dietary management or food intake monitoring. Food image recognition poses different challenges, such as the existence of a large ...

    • Deep learning for freezing of gait detection in Parkinson’s disease patients in their homes using a waist-worn inertial measurement unit 

      Camps Sereix, Julià; Samà Monsonís, Albert; Martín Muñoz, Mario; Rodríguez Martín, Daniel Manuel; Pérez López, Carlos; Moreno Aróstegui, Juan Manuel; Cabestany Moncusí, Joan; Català Mallofré, Andreu; Alcaine, Sheila; Mestre, Berta; Prats, Anna; Crespo, M. Cruz; Counihan, Timothy; Browne, Patrick; Quinlan, Leo R.; ÓLaighin, Gearóid; Sweeney, Dean; Lewy, Hadas; Vainstein, Gabriel; Costa, Alberto; Annicchiarico, Roberta; Bayés, Àngels; Rodríguez Molinero, Alejandro (2017-10-16)
      Article
      Accés obert
      Among Parkinson’s disease (PD) motor symptoms, freezing of gait (FOG) may be the most incapacitating. FOG episodes may result in falls and reduce patients’ quality of life. Accurate assessment of FOG would provide objective ...

    • Deep learning for i-vector speaker and language recognition 

      Ghahabi Esfahani, Omid (Universitat Politècnica de Catalunya, 2018-05-29)
      Tesi
      Accés obert
      Over the last few years, i-vectors have been the state-of-the-art technique in speaker and language recognition. Recent advances in Deep Learning (DL) technology have improved the quality of i-vectors but the DL techniques ...

    • Deep learning for image super resolution 

      Rojas Sedó, Pablo (Universitat Politècnica de Catalunya, 2022-01-31)
      Treball Final de Grau
      Accés obert
      Realitzat a/amb:   Infaimon
      Super-resolution is a popular computer vision task that aims to enhance an image by increasing its resolution. The countless possibilities for applications with this technology and the recent success of deep learning in ...

    • Deep learning for imputation-based feature shift correction 

      Novelle Moriano, Víctor (Universitat Politècnica de Catalunya, 2022-06-27)
      Treball Final de Grau
      Accés restringit per acord de confidencialitat