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Now showing items 8470-8489 of 41723
Das Märchenstück im zeitgenössischen Kindertheater. Die Adaption von Grimms Märchen für die Bühne
Die vorliegende Arbeit befasst sich mit dem Kinder- und Jugendtheater im deutschsprachigen Raum, genauer mit dem Theater für Kinder und Jugendliche, um einer Verwechslung des Theaters mit Kindern und Jugendlichen ...
Data analysis through graph decomposition
This work is developed within the field of data mining and data visualization. Under the premise that many of the algorithms give as result huge amounts of data impossible to handle for the users, we work with the ...
Data analytics for mobile traffic in 5G networks using machine learning techniques
This thesis collects the research works I pursued as Ph.D. candidate at the Universitat Politecnica de Catalunya (UPC). Most of the work has been accomplished at the Mobile Network Department Centre Tecnologic de ...
Data and methods for a visual understanding of sign languages
Signed languages are complete and natural languages used as the first or preferred mode of communication by millions of people worldwide. However, they, unfortunately, continue to be marginalized languages. Designing, ...
Data center's telemetry reduction and prediction through modeling techniques
Nowadays, Cloud Computing is widely used to host and deliver services over the Internet. The architecture of clouds is complex due to its heterogeneous nature of hardware and is hosted in large scale data centers. To ...
Data complexity in supervised learning: A far-reaching implication
Aquesta tesi estudia la complexitat de les dades i el seu rol en la definició del comportament de les tècniques d'aprenentatge supervisat, i alhora explora la generació artificial de conjunts de dades mitjançant estimadors ...
Data Driven Approach to Enhancing Efficiency and Value in Healthcare
Healthcare is changing, and the era of data-driven healthcare organisations is increasingly popular. Data-Driven approaches (e.g., Machine Learning, Metaheuristics, Modelling and Simulation, Data Analytics, and Data ...
A data driven framework for mental health states assessment in social platforms
The link between mental disorders and social media usage has led researchers to work on the development of automated methods to detect mental health issues in social platforms. This thesis proposes a framework for mental ...
Data driven methods for updating fault detection and diagnosis system in chemical processes
Modern industrial processes are becoming more complex, and consequently monitoring them has become a challenging task. Fault Detection and Diagnosis (FDD) as a key element of process monitoring, needs to be investigated ...
Data integration in inflammatory bowel disease
INTRODUCTION: Inflammatory bowel disease is a complex intestinal disease with several genetic and environmental factors that can influence its course. The ethiology and pathophysiology of the disease is not fully understood. ...
Data Integration with XML and Semantic Web Technologies
En general, la integració de múltiples bases de dades heterogènies té com a objectiu oferir una visió unificada sobre un conjunt de dades preexistent. Aquesta tesi contribueix a diferents aspectes del disseny de sistemes ...
data mining and precision simulations of Cosmic Surveys
La generació actual de cartografiats de cosmologia requereix observacions més grans i precises que mai. Tot i que Edwin Hubble només va utilitzar 46 galàxies a partir de les mesures de Vesto Slipher fa gairebé 100 anys, ...
Data preprocessing and quality diagnosis in deep learning-based in silico bioactivity prediction
Drug discovery is a time and resource consuming process involving the identification of a target and the exploration of suitable drug candidates for it. To streamline drug discovery, computational techniques help identifying ...
Data processing for Life Sciences measurements with hyphenated Gas Chromatography-Ion Mobility Spectrometry
Recent progress in analytical chemistry instrumentation has increased the amount of data available for analysis. This progress has been encompassed by computational improvements, that have enabled new possibilities to ...
Data Reconciliation as a Framework for Chemical Processes Optimization and Control
This thesis presents, discusses and compares a set of methodologies and several appropriate combinations of them, to provide accurate estimation of process variables, either for steady-state or dynamic systems. <br/><br/>Firstly, ...
Data Reduction Techniques in Classification Processes
The learning process consists of different steps: building a Training Set (TS), training the system, testing its behaviour and finally classifying unknown objects. When using a distance based rule as a classifier, i.e. ...
Data science in HIV : statistical approaches for therapeutic HIV vaccine data
The present dissertation contributes to Data Science in the Human lmmunodeficiency Virus (HIV) field, addressing specific issues related to the modelling of data coming from three different clinical trials based on ...
Data selection and spectral-spatial characterisation for hyperspectral image segmentation. Applications to remote sensing
El análisis de imágenes ha impulsado muchos descubrimientos en la ciencia actual. Esta tesis se centra en el análisis de imágenes remotas para inspección aérea, exactamente en el problema de segmentación y clasificación ...
Data-driven analysis of interactions between pairs and ensembles of coupled dynamics
The characterization of interactions between coupled dynamics from their signals is important for the understanding of real-world systems. The particular aspect of the detection of directional interactions has a central ...
Data-driven approaches for event detection, fault location, resilience assessment, and enhancements in power systems
This thesis presents the study and development of distinct data-driven techniques to support event detection, fault location, and resilience assessment towards enhancements in power systems. It is divided in three main ...
