Listar Teses de doutoramento por título
Mostrando ítems 1500-1519 de 2118
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New methodological contributions in statistical learning for time series
(2023)[Abstract] Time series databases are becoming omnipresent in several fields (e.g., computer sciences, finance, biology...), which makes the development of data mining algorithms for these objects a top priority among machine ... -
New methodological contributions in time series clustering
(2017)[Abstract] This thesis presents new procedures to address the analysis cluster of time series. First of all a two-stage procedure based on comparing frequencies and magnitudes of the absolute maxima of the spectral ... -
New neuroinspired algorithms in Artificial Neuro-Astrocytic Networks
(2023)[Resumo] Nesta tese preséntanse unha serie de algoritmos complexos a partir de Redes de Neuronas Artificiais (RNA) clásicas deseñados desde unha perspectiva mulitidiciplinar que achega os campos da Intelixencia Artificial ... -
New scalable machine learning methods: beyond classification and regression
(2019)[Abstract] The recent surge in data available has spawned a new and promising age of machine learning. Success cases of machine learning are arriving at an increasing rate as some algorithms are able to leverage immense ... -
New Secure IoT Architectures, Communication Protocols and User Interaction Technologies for Home Automation, Industrial and Smart Environments
(2021)[Abstract] The Internet of Things (IoT) presents a communication network where heterogeneous physical devices such as vehicles, homes, urban infrastructures or industrial machinery are interconnected and share data. For ... -
New Technologies for Internet of Things and Augmented Reality Applications for Domotic Environments and Industry 4.0
(2022)[Abstract] In recent years, the technology related to the Internet of Things (IoT), has gained interest in several elds, from home automation to industry. IoT systems allow heterogeneous devices such as household ... -
NIFPTML: aprendizaje automático por teoría de perturbaciones con fusión de información de redes biomoleculares en química médica, cromosómica, y nanoinformática
(2022)[Resumo] A teoría das redes complexas permite estudar sistemas biomoleculares. Dado que os grafos poden representar redes, nunha rede de proteínas, por exemplo, os nodos son os aminoácidos e os eixes son as secuencias ... -
Nitrocarburación mediante el proceso TENIFER QDQ de aceros inoxidables austeníticos estabilizados : caracterización química y estudio de su comportamiento frente al desgaste y la corrosión
(2015)[Resumen]La nitrocarburación en baño de sales se utiliza para mejorar las propiedades tribológicas de los aceros inoxidables. Sin embargo, la aparición de carburos y nitruros de elementos de aleación en la capa externa ... -
Niveles y evolución de las partículas ultrafinas del aerosol atmosférico en un entorno suburbano con influencia atlántica
(2019)[Resumen] En estudios recientes se ha observado que las partículas ultrafinas (UFP) son las mayoritarias en el aerosol atmosférico en número de partícula por volumen de aire muestreado. Sin embargo, actualmente no existe ... -
Nonisothermal hydrobiogeochemical models in porous media
(2001)[Resumen] En esta tesis se presenta una formulacion matematica y numerica para el flujo de agua, el transporte de calor y de solutos considerando de forma general el papel acoplado de los procesos geoquimicos y ... -
Nonparametric Density and Regression Estimation for Samples of Very Large Size
(2021)[Abstract] This dissertation mainly deals with the problem of bandwidth selection in the context of nonparametric density and regression estimation for samples of very large size. Some bandwidth selection methods have ... -
Nonparametric estimation of the probability of default in credit risk.
(2022)[Abstract] Financial institutions are interested in knowing the probability that their clients declare themselves unable to pay the debts incurred by granting a credit. The aim of this work is to propose models to estimate ... -
Nonparametric Inference for Big-But-Biased Data
(2021)[Abstract] It is often believed that in a Big Data context, given the large amount of data available, the data re ect precisely the underlying population. However, the data are often strongly biased due to the procedure ... -
Nonparametric inference for neural synchrony under low firing activity
(2013)[Abstract] The aim of this thesis is to introduce statistical tools to study neural synchrony under spontaneous activity. The data analyzed comes from extracellular recordings of the primary visual cortex of anesthetized ... -
Nonparametric Inference for Regression Models with Spatially Correlated Errors
(2020)[Abstract] Regression estimation can be approached using nonparametric procedures, producing exible estimators and avoiding misspeci cation problems. Alternatively, parametric methods may be preferable to nonparametric ... -
Nonparametric Inference for the Mixture Cure Model When the Cure Status is Partially Known
(2022)[Abstract] Classical analysis of time-to-event data assumes that all individuals will eventually experience the event of interest. However, when there is evidence of long-term survivors, cure models should be used ... -
Nonparametric Inference in Mixture Cure Models
(2018)[Abstract] A completely nonparametric method for the estimation of mixture cure models is proposed. An incidence estimator is extensively studied and a latency estimator is presented. These estimators, which are based ... -
Noun formation in the scientific register of late modern english : a corpus-based approach
(Universidade da Coruña, 2013)[Resumen] Esta tesis doctoral analiza procesos morfológicos de formación de nombres en el registro científico del inglés moderno tardío usando metodología de lingüística de corpus. Mediante el análisis de cuarenta y una ... -
Novel Developments of Brain-Computer Interfaces for Smart Home Control
(2022)[Resumo] Neste traballo analizamos e desenvolvemos novas Interfaces Home-Máquina (HMI) que faciliten a comunicación e a interacción de persoas que sofren problemas motrices severos, coa súa contorna e dispositivos cotiáns ... -
Novel feature selection methods for high dimensional data
(2014)[Resumen] La selección de características se define como el proceso de detectar las características relevantes y descartar las irrelevantes, con el objetivo de obtener un subconjunto de características más pequeño que ...