Mostrando ítems 291-300 de 326
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 ...
López Bueno, David (Fecha 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 ...
Chamorro Hernández, William Oswaldo (Fecha de defensa: 2023-02-17)
(English) Event-based cameras are novel sensors with a bio-inspired design that exhibit a high dynamic range and extremely low latency. They sensing principle is different than the one of conventional ...
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 ...
Arellano Espitia, Francisco (Fecha de defensa: 2023-10-10)
(English) In recent years, there has been significant attention from both the academic and industry sectors towards condition-based maintenance of rotating systems. This attention stems from the high ...
Fernández Cañellas, Dèlia (Fecha 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 ...
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 ...
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 ...