Mostrando ítems 1-20 de 364
Nestorov, Anna Maria (Fecha de defensa: 2024-05-03)
(English) Recently, serverless computing has garnered attention from academia and industry due to its on-demand resource provisioning, allowing users to focus solely on their core business logic by breaking down tasks into ...
Matsumura, Kazuaki (Fecha de defensa: 2024-05-02)
(English) The rapid development in computing technology has paved the way for directive-based programming models towards a principal role in maintaining software portability of performance-critical applications. Efforts ...
Castell Uroz, Ismael (Fecha de defensa: 2023-07-06)
(English) echnologies are extensively used to collect huge amounts of personal information from our online activity, including the things we search for, the sites we visit, the people we contact, or the products we buy. ...
Gemmi, Gabriele (Fecha de defensa: 2024-02-22)
(English) This thesis aims to investigate the efficacy and applicability of Wireless Backhaul Network (WBN) in two divergent contexts: ultra-dense urban networks for 5G and connectivity solutions for rural or digitally ...
Bernárdez Gil, Guillermo (Fecha de defensa: 2024-03-15)
(English) In the wake of a digital revolution, contemporary society finds itself entrenched in an era where network applications' demands surpass the capabilities of conventional network management solutions. This dissertation ...
El Sayed, Ahmad Mohammad (Fecha de defensa: 2024-01-30)
(English) Sensor Networks (SN) will play an integral role in Beyond 5G (B5G) ecosystems, especially for highly-distributed use cases and services such as Digital Twins (DT). Thus, the underlying transport network needs to ...
Rodrigo Muñoz, Santiago (Fecha de defensa: 2023-12-18)
(English) Despite its tremendous potential, it is still unclear how quantum computing will scale to satisfy the requirements of its most powerful applications. Continued progress in the fabrication and control of qubits ...
Vieira Zacarias, Felippe (Fecha de defensa: 2023-10-09)
(English) In a typical HPC cluster system, a node is the elemental component unit of this architecture. Memory and compute resources are tightly coupled in each node and the rigid boundaries between nodes limits compute ...
Pinto Rivero, Dennis (Fecha de defensa: 2022-11-09)
(English) In this thesis, we study the challenges preventing ASR deployment on edge devices and propose innovations to tackle them, hopefully moving the technology a step forward to the future. First, we characterize ...
Reggiani, Enrico (Fecha de defensa: 2023-10-26)
(English) Over the past decade, significant progresses in the field of artificial intelligence have led to remarkable advancements in a wide range of technologies. Deep learning, a subfield of machine learning centered ...
Osorio Ríos, John Haiber (Fecha de defensa: 2023-10-18)
(English) Deep Neural Networks (DNNs) have become ubiquitous in a wide range of application domains. Despite their success, training DNNs is an expensive task which has motivated the use of reduced numerical precision ...
Herruzo Sánchez, Pedro (Fecha de defensa: 2023-10-30)
(English) This thesis explores the intersection of deep learning and spatio-temporal forecasting, focusing on the challenges and opportunities present in applying machine learning methods to predict complex geospatial and ...
Vavouliotis, Georgios (Fecha de defensa: 2023-09-12)
(English) Despite groundbreaking technological innovations, the disparity between processor and memory speeds (known as Memory Wall) is still a major performance obstacle for modern systems. Hardware prefetching is a ...
Liu, Peini (Fecha de defensa: 2023-07-17)
(English) The convergence of High Performance Computing (HPC), Big Data (BD), and Machine Learning (ML) in the computing continuum is being pursued in earnest across the academic and industry. We envision virtualization ...
Fernández Muñoz, Javier (Fecha de defensa: 2023-07-18)
(English) Machine Learning (ML) systems allow the efficient implementation of functionalities that can be hard to program by traditional software due to the high spectrum of inputs that hinder the definition of a specific ...
Cruz de la Cruz, Stalin Leonel (Fecha de defensa: 2023-07-06)
(English) Deep learning techniques have an enormous impact on the state-of-the-art in many fields, such as computer vision, natural language processing, audio analysis and synthesis, and many others. The increasing computing ...
Almasan Puscas, Felician Paul (Fecha de defensa: 2023-07-17)
(English) In recent years, several industry sectors have adapted the Digital Twin (DT) paradigm to improve the performance of physical systems. This paradigm consists of leveraging computational methods to build high-fidelity ...
Alcaide Portet, Sergi (Fecha de defensa: 2023-07-19)
(English) Future Safety-Critical Systems require a boost in guaranteed performance in order to satisfy the increasing performance demands of the state-of-the-art complex software features. Ar1 approach to achieve these ...
Ahmadian, Seyed Morteza (Fecha de defensa: 2023-06-16)
(English) This Ph.D. thesis focuses on the application of intelligent models to Discrete-Variable Quantum Key Distribution (DV-QKD) protocol. The first objective focuses on providing a method for AI-based polarization ...
Ferrer Cid, Pau (Fecha de defensa: 2023-05-08)
(English) Nowadays, authorities monitor the concentrations of regulated air pollutants in order to assist in decision-making processes, e.g., for the implementation of traffic restrictions, and mitigate the effects of air ...