DA&AI supporting tools for gas turbine’s efficiency improvement: maintenance, operation modes and performance enhancement 

    Castro Cros, Martí de (Fecha de defensa: 2023-12-18)

    (English) Digitalization has revolutionized many industries, including the power generation sector. The availability of a vast amount of data from various systems has transformed decision-making processes in Industry. ...

    Dal nerorealismo italiano al landscape planning americano : la fondazione del paesaggio turistico della Costa Smeralda 

    Cappai, Alessadra (Fecha de defensa: 2014-04-07)

    Il tema centrale della presente tesi è lo studio della relazione tra la pianificazione di un territorio turistico e gli elementi del territorio e del paesaggio che lo compongono, attraverso un caso di studio paradigmatico ...

    Damage tolerance of cemented carbides under service-like conditions 

    Tarragó Cifre, Jose María (Fecha de defensa: 2016-09-13)

    Hardmetal industry is continuously seeking for high-performance products at reduced costs. In addition, it is strongly struggled by the high and volatile prices of raw materials. At this juncture, producers and end-users ...

    Daño sísmico y propiedades modales en estructuras de edificación 

    Alva Bañuelos, Rodrigo Esteban (Fecha de defensa: 2021-09-17)

    The time required to inspect damaged structures after an earthquake has a direct impact on the social and economic consequences of the event, which can be catastrophic. Developing tools to aid the inspection task is of ...

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

    Campos, Bruno (Fecha de defensa: 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 (Fecha de defensa: 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 (Fecha de defensa: 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 (Fecha de defensa: 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 (Fecha de defensa: 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 (Fecha de defensa: 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 (Fecha de defensa: 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 (Fecha de defensa: 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 (Fecha de defensa: 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 (Fecha de defensa: 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 (Fecha de defensa: 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 (Fecha de defensa: 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 (Fecha de defensa: 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 (Fecha de defensa: 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 (Fecha de defensa: 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 ...

    Daylight performance assessment of an innovative energy efficient building envelope 

    Casquero Modrego, Núria (Fecha de defensa: 2016-07-12)

    Buildings are considered to be one of the primary contributors to the socioeconomic development of a country. However, they use a large portion of energy and available natural resources. With the industrialization leading ...