Mostrando ítems 21-40 de 146

    Enhancing maintenance and energy efficiency in smart manufacturing processes through non-intrusive monitoring strategies 

    Bermeo Ayerbe, Miguel Ángel (Fecha de defensa: 2022-12-02)

    (English) Concern about energy efficiency has increased in the industry, mainly motivated by rising energy prices and government policies to raise awareness of environmental impact. For this reason, this thesis is dedicated ...

    Generative models for the automatic recognition of reactive and abnormal peripheral blood cells with diagnosis purposes 

    Barrera Llanga, Kevin Iván (Fecha de defensa: 2024-03-15)

    (English) Clinical pathologists focus on detailed morphological analysis of peripheral blood (PB) cells for the recognition of abnormal cells and contribute to the diagnosis of hematological diseases. While this traditional ...

    LPV lateral control of autonomous and automated vehicles 

    Medero Borrell, Ariel (Fecha de defensa: 2023-09-28)

    (English) It is expected that automated driving will enhance road safety, increase highway capacity, reduce carbon emissions, and make transportation more accessible to disabled and older people. However, fully automated ...

    The surface defect identification problem in the industry: a novel approach with semantic segmentation and generative adversarial networks 

    Orti Navarro, Joan (Fecha de defensa: 2024-05-10)

    (English) Surface inspection of coated surfaces in the automotive industry, traditionally has been a manual process in charge of keen eye operators in charge of inspecting the whole car body. However, as might be deducted, ...

    Agile aerial manipulation: an approach based on full-body dynamics and model predictive control 

    Martí Saumell, Josep (Fecha de defensa: 2024-04-30)

    (English) Aerial manipulators, which commonly take the form of multirotors with attached robotic limbs, primarily employ their limbs for pure manipulation tasks and do not rely on them during aerial locomotion. Besides, ...

    Advances in nonlinear observer design for state and parameter estimation in energy systems 

    Cecilia Piñol, Andreu (Fecha de defensa: 2022-04-19)

    (English) Critical energy challenges are forcing a rapid modification of the current energy infrastructure. lndeed, larger renewable energy penetration, more distributed generation and storage, and higher degree of autonomy ...

    Personalising robot assistance for cognitive training therapy 

    Andriella, Antonio (Fecha de defensa: 2022-10-13)

    (English) There are 50 million people worldwide living with dementia, and this number is projected to triple by 2050. While there are no pharmacological treatments for this syndrome, behavioural therapy such as cognitive ...

    Detection and diagnosis of faults and damage in wind turbines 

    Puruncajas Maza, Bryan (Fecha de defensa: 2023-05-26)

    (English) Wind turbines are huge structures with technological and industrial development on land and sea. These structures are located in remote areas with difficult access, with extreme environmental conditions. These ...

    Fault diagnosis in wind turbines using machine learning techniques 

    Pérez Pérez, Esvan de Jesús (Fecha de defensa: 2023-11-30)

    (English) In recent years, wind power has emerged as a promising alternative to fossil fuels, with wind turbines widely used to generate clean energy. However, like complex machinery, wind turbines are prone to faults that ...

    AI-enhanced cyber-physical systems in automotive industry : integration of CPS and application artificial intelligence technologies in automotive paint shop process 

    Sanz Gràcia, Elma (Fecha de defensa: 2023-11-09)

    (English) Transformation of industrial processes to embrace Industry 4.0 revolution needs to use data: valuable data from different data sources, labelled data, semantic layers, metadata to understand better, universes, ...

    Contributions to LPV control under time-varying saturations 

    Ruiz Royo, Adrián (Fecha de defensa: 2023-11-20)

    (English) This thesis presents contributions to the state-of-the-art in the field of gain-scheduling control, with special emphasis on linear parameter-varying (LPV) systems and the presence of time-varying saturations. ...

    Optimización de recursos intralogísticos en entornos industriales para su uso en vehículos autónomos 

    Vargas Martín, Elliot (Fecha de defensa: 2023-10-31)

    (English) The introduction of autonomous vehicles in intralogistics has significantly increased in recent times. However, in the industry, a single autonomous vehicle is often not used, but several of them are needed to ...

    Modeling and reconstruction of 3D humans 

    Corona Puyane, Enric (Fecha de defensa: 2023-11-16)

    (English) Understanding humans in images has been a long-standing goal in Computer Vision. Recently, modelling and generation of virtual humans has become a popular area of research spurred by the success of deep learning, ...

    Safety and adaptation in physical interaction control for robotic applications 

    San Miguel Tello, Alberto (Fecha de defensa: 2023-09-04)

    (English) Although robotic platforms have been used for a wide range of purposes, recent advances in robot autonomy raise the opportunity of bringing them closer to humans. This implies that, under any circumstance, robots ...

    Crutch gait patterns characterization through spatial and temporal parameters 

    Narváez Dorado, Marien Cristina (Fecha de defensa: 2023-09-29)

    (English) Crutches are widely used as assistive walking devices for a diverse population. They are often prescribed by clinicians/therapists to help offload the lower extremities for individuals with impairments. They can ...

    A virtual environment to evaluate and predict recovery of human hand motion post-stroke 

    Padilla Magaña, Jesús Fernando (Fecha de defensa: 2022-11-18)

    (English) The Action Research Arm Test (ARAT) is a measurement tool to assess post-stroke upper extremities motor function. However, ARAT scoring can be subjective and limited only to determining performance quality. ...

    Visual understanding of human behavior: 3D pose, motion, actions and context 

    Hernández Ruiz, Alejandro José (Fecha de defensa: 2023-05-30)

    (English) Visual understanding of human behavior is a very broad topic that, in the abstract, means understanding what a person or group of people is doing in an image or video. In practice, it can be broken down into a ...

    Shedding light on sewer pipes : deep learning perception approaches for autonomous sewer robots 

    Plana Rius, Ferran (Fecha de defensa: 2023-03-02)

    (English) Sewerage is a vital infrastructure for society’s day-to-day life. Its maintenance is a priority and current European legislation increases the demand of a proper inspection. Being a complex access and dangerous ...

    Contributions to prognostics and health-aware control of dynamic systems 

    Khoury, Boutrous (Fecha de defensa: 2023-03-24)

    (English) Maintenance is indispensable in every industry that uses machines and is inevitable regardless of the attention paid to it. The cumulative effect of its neglect or a non-optimized approach is a long or short-term ...

    Modeling and control of a vanadium redox flow battery 

    Clemente León, Alejandro (Fecha de defensa: 2023-03-29)

    (English) Due to the current climate crisis, significant efforts are being made in the field of renewable energies, being one of the main challenges the storage of energy in an efficient, environmentally friendly and ...