Browsing Universitat Politècnica de Catalunya by Title

Daphnia magna bioassays to detect novel eco-toxicological effects of prioritary and emergent contaminants

Campos, Bruno (Date of defense: 2014-01-10)

There is increasing evidence that the presence of many emerging pollutants in aquatic ecosystems may have detrimental effects on aquatic biota. Of special concern are those emerging pollutants that may act as putative ...

Data analysis through graph decomposition

Piceno, Marie Ely (Date of defense: 2020-07-27)

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

Trinh, Hoang Duy (Date of defense: 2020-06-10)

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

Cardoso Duarte, Amanda (Date of defense: 2022-06-27)

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

Baig, Shuja-ur-Rehman (Date of defense: 2019-12-17)

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 driven methods for updating fault detection and diagnosis system in chemical processes

Ardakani, Mohammad Hamed (Date of defense: 2018-07-23)

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 preprocessing and quality diagnosis in deep learning-based in silico bioactivity prediction

López del Río, Ángela (Date of defense: 2021-06-23)

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 Reconciliation as a Framework for Chemical Processes Optimization and Control

Benqlilou, Chouaib (Date of defense: 2004-04-28)

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 science in HIV : statistical approaches for therapeutic HIV vaccine data

Alarcón Soto, Yovaninna (Date of defense: 2021-06-30)

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-driven information-theoretic tools under a second-order statistics perspective

Cabrera Estanyol, Ferran de (Date of defense: 2023-07-03)

(English) A great deal is known about second-order statistics. For many years, most of the signal processing problems have been addressed under the perspective of the first and second-order moments of the data, known to ...

Data-driven methodologies for evaluation and recommendation of energy efficiency measures in buildings. Applications in a big data environment

Grillone, Benedetto (Date of defense: 2021-12-03)

In order to reach the goal set in the Paris agreement of limiting the rise in global average temperature well below 2 ºC compared to pre-industrial levels, massive efforts to reduce global greenhouse gas emissions are ...

Data-driven neural mass modelling

Escuain i Poole, Lara Sofia (Date of defense: 2019-03-28)

The brain is a complex organ whose activity spans multiple scales, both spatial and temporal. The computational unit of the brain is thought to be the neurone. At the microscopic level, neurones communicate via action ...

dataClay : next generation object storage

Martí Fraiz, Jonathan (Date of defense: 2017-03-31)

Existing solutions for data sharing are not fully compatible with multi-provider contexts. Traditionally, providers offer their datasets through hermetic Data Services with restricted APIs. Therefore, consumers are compelled ...

Dataset proximity mining for supporting schema matching and data lake governance

Alserafi, Ayman (Date of defense: 2021-02-05)

With the huge growth in the amount of data generated by information systems, it is common practice today to store datasets in their raw formats (i.e., without any data preprocessing or transformations) in large-scale data ...

Data–driven Bayesian networks modelling to support decision–making : application to the context of Sustainable Development Goal 6 on water and sanitation

Requejo Castro, David (Date of defense: 2021-07-13)

We live in a complexand interconnected world which permeates ditterent scales. sectors or decision problems. This fact is acknowledged by the United Nations 2030 Agenda for Sustainable Development, which underscores current ...