Mostrando ítems 1-10 de 17
Iqbal, Masab (Fecha de defensa: 2023-03-24)
(English) Optical communication systems are widely adopted and responsible for transporting data traffic from access to metro to core networks supporting society’s information and communication functions. ...
Cardona Nadal, Jordi (Fecha de defensa: 2023-04-03)
(English) In the last decade performance needs in Critical Real-Time Embedded Systems (CRTES) domains like automotive, avionics, railway or space have been steadily on the rise due to the unprecedented ...
Vilardell Moreno, Sergi (Fecha de defensa: 2023-03-13)
(English) Critical Real-Time Embedded Systems (CRTES) are used in domains like transportation (e.g. avionics, automotive, space, and railway), healthcare, and industrial machinery. This subset of embedded ...
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 ...
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 ...
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 ...
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 ...
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. ...
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 ...
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 ...