Ara mostrant els elements 1-20 de 355

    Misbehaviour detection and trustworthy collaboration in vehicular communication networks 

    Sedar, Mohottige Roshan Madhusanka (Data de defensa: 2024-09-23)

    (English) The integration of advanced wireless technologies, e.g., cellular and IEEE 802.11p, in modern vehicles enables vehicle-to-everything (V2X) communication, fostering the next-generation Internet-of-Vehicles (IoV). ...

    Implementation of personalized medicine in malignant melanoma patients aided by artificial intelligence 

    Hernández Pérez, Carlos (Data de defensa: 2024-11-04)

    (English) Skin cancer, characterised by the uncontrolled growth of abnormal skin cells, poses a significant global health challenge. Melanoma, its most aggressive form, is particularly concerning due to its rapid metastasis ...

    Cloud-native orchestration and automation for disaggregated networks 

    Manso Fernández Argüelles, Carlos Agustín (Data de defensa: 2023-05-18)

    (English) Transport networks are segmented by different technologies and domains, what makes difficult automated end-to-end operations and making direct human intervention needed to deploy connectivity services. On top ...

    Bio-sensing applications of electromagnetic scattering from spheroidal objects 

    Zarrinkhat, Faezeh (Data de defensa: 2022-12-20)

    (English) Bio-sensing technology has progressed rapidly over the past years due to their plethora of applications such as disease diagnosis, drug monitoring detection of pollutants, and disease-causing micro-organisms. ...

    Few-shot 3D reconstruction of body parts with deep neural networks 

    Ramon Maldonado, Eduard (Data de defensa: 2022-09-15)

    (English) In this thesis, we study the problem of reconstructing objects from a concrete category in 3D when few images are available as input, i.e. less than 10. We apply our findings to digitalizing human body parts such ...

    Photonic circuits for wireless applications in the microwave, millimeter wave and terahertz bands 

    Nuño Gómez, Daniel-Juan (Data de defensa: 2022-09-23)

    (English) This thesis focuses on the emission, processing and detection of electromagnetic radiation in applications where the use of established technologies may limit the achievable frequency or bandwidth. Leveraging ...

    Super-resolution and semantic segmentation of remote sensing images using deep learning techniques 

    Salgueiro Romero, Luis Fernando (Data de defensa: 2022-10-27)

    (English) Remote sensing for Earth observation is a growing scientific field essential for many human activities. Among the different applications in the Remote Sensing domain, the production of thematic maps, such as Land ...

    5G and its impact on the automotive industry 

    Montero Bayo, Luca (Data de defensa: 2023-09-21)

    (English) The 5th generation of mobile communications has been designed to address the unstoppable demand of data bandwidth. However, it also gives support to a range of vertical industries with different Quality of Service ...

    A flexible system-on-chip FPGA architecture for prototyping experimental GNSS receivers 

    Majoral Ramoneda, Marc (Data de defensa: 2024-05-10)

    (English) The rapid evolution in satellite navigation technology (GNSS) requires advanced prototyping tools for exploring new signals and developing innovative systems. Prototyping is essential in the design and development ...

    Novel transversal topologies and coupled resonator configurations for acoustic wave filters 

    Perea Robles, Rafael (Data de defensa: 2023-06-09)

    (English) During the last years, electro-acoustic technology has been a key factor in the development of portable devices thanks to its high performance and very compact filtering structures. Such a technology has enabled ...

    Clustering large dimensional data via second order statistics: applications in wireless communications 

    Pereira, Roberto Matheus Pinheiro (Data de defensa: 2023-12-19)

    (English) In many modern signal processing applications, traditional machine learning and pattern recognition methods heavily rely on the having a sufficiently large amount of data samples to correctly estimate the underlying ...

    Lifelong AI-driven zero-touch network slicing 

    Rezazadeh, Farhad (Data de defensa: 2023-11-13)

    (English) The sixth-generation (6G) network's evolution necessitates advancements in algorithms and architecture to transition from an AI-native to an intrinsic trustworthy automation-native system. Network slicing creates ...

    Zero-touch service orchestration in 5G and beyond mobile networks 

    Dalgkitsis, Anestis (Data de defensa: 2023-11-07)

    (English) The expeditious growth and development of Beyond-5G and 6G networks inaugurated a new sector in the research of cellular networking. Automation and scaling are now considered a necessity to cope with the anticipated ...

    Optimized content caching strategies for multi-access edge computing (MEC)-assisted future cellular networks 

    Ayenew, Tadege Mihretu (Data de defensa: 2023-11-21)

    (English) Handling the tsunami of multimedia content is a big challenge for heterogeneous cellular networks. Serving large volumes of content from the central system to end-users, through a bandwidth-limited network, at ...

    Analysis of thin-film solidly mounted resonators for applications in harsh environments 

    Lugo Hernández, Eduardo (Data de defensa: 2023-10-10)

    (English) The sensing industry is constantly growing due to its demand in fields that require critical and essential information (data environment) for human safeness and quality of life. In recent years, designers, ...

    Knowledge graph population from news streams 

    Fernández Cañellas, Dèlia (Data de defensa: 2023-10-09)

    (English) Media producers publish large amounts of multimedia content online - both text, audio, image and video. As the online media market grows, the management and delivery of contents becomes a challenge. Semantic ...

    Quasi-perfect codes for the classical-quantum channel 

    Blasco Coll, Andreu (Data de defensa: 2023-09-27)

    (English) Quantum computers use the laws of quantum mechanics to do complex operations that classical computers can't solve. Quantum computers and other physical quantum systems require quantum information to be completely ...

    Converged RAN/MEC slicing in beyond 5G (B5G) networks 

    Ojaghi Kahjogh, Behnam (Data de defensa: 2023-07-13)

    (English) The main objective of this thesis is to propose solutions for implementing dynamic RAN slicing and Functional Split (FS) along with MEC placements in 5G/B5G. In particular, this thesis is divided into three parts. ...

    Machine learning techniques for adaptive polynomial and neural network digital predistorters 

    López Bueno, David (Data de defensa: 2023-07-07)

    (English) The power amplifier (PA) is a core element in the radio transmitters to support the required mobile and fixed broadband communication link ranges. However, the PA is a power-hungry and nonlinear by nature device. ...

    Machine learning algorithms for 5G optical networks 

    Ibrahim Mohamed Badr, Asmaa (Data de defensa: 2023-07-18)

    (English) Throughout this thesis we addressed 5G network challenges. The non-coherent optical modulation tradeoff has been addressed, as we proposed FBMC and artificial intelligence-based schemes. The proposed schemes ...