Ara mostrant els elements 311-320 de 335
Ahmadian, Seyed Morteza (Data 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 (Data 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 (Data 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 ...
Sánchez Barrera, Isaac (Data de defensa: 2022-04-06)
The end of Dennard scaling has caused a stagnation of the clock frequency in computers.To overcome this issue, in the last two decades vendors have been integrating larger numbers of processing elements ...
Cruz de la Cruz, Stalin Leonel (Data 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 (Data 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 (Data 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 ...
Vavouliotis, Georgios (Data 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 ...
Herruzo Sánchez, Pedro (Data 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 ...
Osorio Ríos, John Haiber (Data 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 ...