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Now showing items 29348-29367 of 41831
Multiscale subsurface characterization for geo-energy applications
(English) Geological Carbon Storage (GCS) holds immense promise for mitigating atmospheric CO2 emissions, making the sealing capacity of caprocks pivotal as storage scales up. Despite excellent sealing capacities observed ...
Multisectoral models for water management under droughts and climate change
The escalating conflicts and competition for freshwater resources are widely acknowledged. The demand for water is on the rise due to rapid population growth and socioeconomic development, while climate change is disrupting ...
Multisectorial models applied to the environment: an analysis for catalonia
The objective of this doctoral thesis is to apply different multisectorial models available to analyse the impact that would had on the Catalan economy as a result of the introduction of policies designed to reduce emissions ...
Multisensitive polyurethane/polyurea nanocapsules for smart drug delivery
The Thesis is based on the development of a potentially-scalable methodology to prepare polyurethane/polyurea polymers to nanoencapsulate bioactive molecules. In the first part of the project, the design, optimization and ...
Multisensory integration and decision-making in Drosophila larvae
Numerous studies have shown that a wide range of behaviors from sensory processing to motor control involve near-optimal probabilistic inference. Most of these studies have focused on vertebrates, suggesting that the ability ...
Multisensory processing and agency in VR embodiment: Interactions through BCI and their therapeutic applications
Body ownership refers to the experience that this body is my body and is closely linked to consciousness. Multisensory integration processes play an important role in body ownership as shown in the rubber hand illusion, ...
Multistage scenario trees generation for renewable energy systems optimization
The presence of renewables in energy systems optimization have generated a high level of uncertainty in the data, which has led to a need for applying stochastic optimization to modelling problems with this characteristic. ...
A multisymplectic approach to gravitational theories
The theories of gravity are one of the most important topics in theoretical physics and mathematical physics nowadays. The classical formulation of gravity uses the Hilbert-Einstein Lagrangian, which is a singular ...
Multitarget strategies in search of novel drug candidates against Alzheimer’s disease
Alzheimer’s disease (AD) is the most common form of dementia and one of the most important health-care problems in the world, due to its high prevalence and unaffordable personal and economic impact. Moreover, current ...
Multiterminal HVDC transmissions systems for offshore wind
Offshore wind is emerging as one of the future energy vectors. Offshore wind power plants locations provide more strong and constant wind speed that allows to extract more power compared to onshore locations. In addition, ...
Multithreaded Dense Linear Algebra on Asymmetric Multi-core Processors
This dissertation targets two important problems. The first one is the design of low-level DLA kernels for architectures comprising two (or more) classes of cores. The main question we have to address here is how to attain ...
Multivariate approach-based system for the automated interpretation of spectra : application to pigments identification through Raman spectroscopy in art analysis
The application of spectroscopic techniques is crucial for art historians and conservators who require knowledge of materials used in works of art (pigments, dyes, binders, additives, ...) in particular instances. In this ...
Multivariate characterization of wave storms in coastal areas
Wave-storms are the responsible of the main changes in the Coast. Their detailed characterization results in a better design of any marine structure. The most common approach to describe wave-storms is to simplify the event ...
Multivariate classification of gene expression microarray data
L'expressiódels gens obtinguts de l'anàliside microarrays s'utilitza en molts casos, per classificar les cèllules. En aquestatesi, unaversióprobabilística del mètodeDiscriminant Partial Least Squares (p-DPLS)s'utilitza per ...
Multivariate curve resolution applied to sequential injection data. Analysis of amoxicillin anda clavulanic acid
El objetivo de esta tesis ha sido estudiar y desarrollar metodologias analíticas<br/>usando un sistema de inyección secuencial (SIA) con un espectrofotómetro de diodos en<br/>fila para obtener datos de segundo orden. Para ...
Multivariate methods for interpretable analysis of magnetic resonance spectroscopy data in brain tumour diagnosis
Malignant tumours of the brain represent one of the most difficult to treat types of cancer due to the sensitive organ they affect. Clinical management of the pathology becomes even more intricate as the tumour mass increases ...
Multivariate Signal Processing for Quantitative and Qualitative Analysis of Ion Mobility Spectrometry data, applied to Biomedical Applications and Food Related Applications
There are several applications where the measurement of VOC results to be useful, such as: toxic leaks, air quality measurements, explosive detection, monitoring of food and beverages quality, diagnosis of diseases, etc. ...
Multivariate statistical modelling and monitoring of smart buildings
In order to reduce mismatches between real and expected consumption, this thesis explores the use of PCA (Principal Component Analysis) as a modelling tool for buildings. PCA is a statistical technique that allows complex ...
Multivariate Statistical Process Control and Case-Based Reasoning for situation assessment of Sequencing Batch Reactors
ABSRACT<br/><br/>This thesis focuses on the monitoring, fault detection and diagnosis of Wastewater Treatment Plants (WWTP), which are important fields of research for a wide range of engineering disciplines. <br/><br/>The ...
