• Deep learning surrogate of computational fluid dynamics for thrombus formation risk in the left atrial appendage

  Morales Ferez, Xabier (2019-07)

  Atrial fibrillation (AF) is the most common clinically significant arrhythmia, often severely disrupting cardiac hemodynamics and drastically increasing the risk of thromboembolic events. Around 90% of such intracardiac ...
• Characterization of patients with heart failure with preserved ejection fraction using machine learning

  Martí Castellote, Pablo-Miki (2019-07)

  The pathophysiological complexity and heterogeneity of the heart failure with preserved ejection fraction (HFpEF) syndrome is not fully captured by clinical guidelines, which oversimplify the condition to standardize ...
• Left Atrium blood flow characterization using 4D Flow MRI and CFD

  Galán González, Agustín (2019-07)

  Left atrial hemodynamics has acquired certain interest due to its role in the pathophysiology of thrombus formation in patients with atrial fibrillation. Computational fluid dynamics (CFD) has proven to be a valuable ...
• Evaluating a nonlinear interdependence measure in electroencephalographic recordings from epilepsy patients

  Espinoso Palacín, Anaïs (2019-07)

  The analysis of neuronal recordings is important for the understanding of the human brain. Epilepsy is a neurological disorder characterized by a synchronous neuronal activity in the brain, that causes seizures. This ...
• Patient stratification using unsupervised clustering and radiomics

  Company Se, Georgina (2019-07)

  Medical care is currently provided in clinical practice according to the “one-size-fitsall” approach, through which all patients suffering from the same symptoms and diseases receive the same treatment. Despite its wide ...
• Analysis and simulation of Wireless Networks, IEEE 802.11ax DL

  Galceran Esteve, Xavier; Talló Domínguez, Imar (2019)

  Since the beginning of the 21th century, wireless networks have played a very important role until today, and thanks to this technology, millions of people can connect daily to the Internet. Also, this will be more important ...
• Extraction and recognition of violin gestures on music performance

  Nou Plana, Ignasi (2019)

  Assessment of performance in music have been used frequently in learning and teaching areas. Automate this process involves the study and analysis of different key-points and its particular features. This kind of assessment ...
• Computer vision approach to air pollution prediction using multimodal data

  Antón, Carles (2019)

  Climate change is one of the hardest problems humanity will have to face in the next century. Data analysis and computer vision are two powerful tools that can help us perform tasks that would usually take more time on ...
• Automatic assessment of violin performance using machine learning

  Ortega Rams, Ariadna (2019)

  Automatic Assessment of music performance is nowadays a relevant field of study, given the growing interest in the usage of computer-based music learning systems. In this project, we present a Machine Learning Approach to ...
• Optimal control using sparse-matrix belief propagation

  Iribarne, Albert (2019)

  The optimal control framework is a mathematical formulation by means of which many decision making problems can be represented and solved by finding optimal policies or controls. We consider the class of optimal control ...
• Musculoskeletal abnormality detection on x-ray using transfer learning

  Abreu Dias, Domingo de (2019)

  Radiographic studies are a common technique employed to detect a variety of diseases, in which the detection of musculoskeletal abnormalities has proven to be a crucial task. This thesis proposes the use of deep learning ...
• Testing optimality in the morphospace of language networks with empirical data

  Casal Santiago, Miguel Ángel (2019)

  There is an open issue about optimality in human language, which might be behind some universal features observed across tongues. These features may stem from a tension between hearers and speakers when trying to minimize ...
• Predicting user satisfaction to optimize AP selection in WLANs using Random Forests

  Carrascosa Zamacois, Marc (2019)

  Nowadays, it is common to nd WiFi networks that have a central controller connected to all Access Points in the network to both organize them and collect relevant information from them. This creates huge amounts of data ...
• Learning state representations and Markov models in football analytics

  Soares Afonso, Marielby Mercedes (2019)

  The increasing availability of spatio-temporal data of football matches in recent years has prompted the interest of many clubs in performing automated tactical analysis using machine learning techniques to gain competitive ...
• Speed traffic sign detection on the CARLA simulator using YOLO

  Sánchez Juanola, Martí (2019)

  Research on the self-driving and on the autonomous vehicles field is constantly increasing. The administrations are putting all their efforts to raise awareness among drivers about the responsibility that driving a vehicle ...
• A computational and visualisation tool for investigating associations between cardiac radiomics, risk factors and clinical data

  Phloyngam, Naphatthara (2019)

  Identifying the correlations between radiomics and additional medical, health and lifestyle factors such as sex, age, BMI, etc. may help in discovering the significant hidden patterns of data and realizing the causes of ...
• Creació d’una xarxa Blockchain per a la traçabilitat d’aliments

  Mitjana Castro, Roger (2019-10-23)

  La indústria alimentaria pateix per els escàndols a causa les intoxicacions dels aliments i la poca informació sobre la procedència dels aliments que tenim a taula. El consumidor doncs, confiarà més si existeix un sistema ...
• OpenLedMapper, un software de LED mapping basat en l’entorn openFrameworks

  Pelaez Carrera, Albert (2019-10-23)

  El LED mapping és una tècnica visual i d’il·luminació que consisteix en generar continguts en un software determinat i reproduir-los en sistemes de LED controlables píxel a píxel, ja siguin en forma de tira, o focus. ...
• Approaching image processing and computer vision problems via Light Field Imaging

  Garcia Moll, Clara (2019-10-23)

  Light field imaging is an emerging technology which allows capturing an image with richer information than just a two-dimensional image. Traditional cameras capture only light intensity. In contrast, light field cameras, ...
• Sistema automático de verificación de cumplimiento de planogramas usando inteligencia artificial aplicada a imágenes

  Albacar Fernández, Pol (2019-10-23)

  El proyecto consiste en desarrollar un sistema ofrecido en forma Web App apoyado por una arquitectura de sistemas robusta con la principal funcionalidad de ayudar a las compañías a conseguir un control completo del ...

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