Cruz de la Cruz, Stalin Leonel (Date of defense: 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 (Date of defense: 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 (Date of defense: 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 (Date of defense: 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 (Date of defense: 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 (Date of defense: 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 (Date of defense: 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 (Date of defense: 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 (Date of defense: 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 (Date of defense: 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 ...