Brain disorders represent a significant health challenge. It is estimated that approximately 165 million people suffer from a brain disorder in Europe, while 1 in 3 people will experience such a disorder during their lifetime. Some types of the brain disorders are the following: Alzheimer?s disease, dementias, epilepsy, Parkinson?s disease, Mental disorders, and more. These…
Automotive research is currently heavily oriented towards autonomy and especially developing reliable vehicular connectivity and localization technologies for autonomous driving. Since existing technologies have failed to satisfy all requirements so far, new complementary technologies are sought. Specifically, radio frequency communications like cellular and ?DSRC? suffer from reliability and security issues at mid-range (
Super-resolution (SR) is an ill-posed inverse problem focused on reconstructing high-resolution images from low-resolution counterparts by recovering missing details. Despite advancements, SR faces persistent challenges in generalization, balancing fidelity and perceptual quality, mitigating artifacts, and ensuring trustworthy results. This thesis tackles these issues through innovations in model architecture, loss design, and sample selection. Central to…
Goals and motivation: The PhD aimed at proposing new texture feature extraction algorithms based on information theory. More precisely, new entropy-based algorithms (EBA) were proposed to study the texture of biomedical datasets and, through the use of artificial intelligence techniques, to help diagnose pulmonary pathologies. Introduction: In 1948, Shannon introduced entropy to quantify a signal?s…
Frequency Modulated Continuous Wave (FMCW) radar has emerged as a powerful sensing modality in both automotive and biomedical applications due to its ability to provide precise range, velocity, and Doppler measurements. This dissertation investigates novel methodologies to enhance FMCW radar’s effectiveness in two critical domains: (1) forward-looking Synthetic Aperture Radar (SAR) imaging for automotive applications,…
Machine learning and artificial intelligence methods have achieved remarkable success, matching and even surpassing human capabilities in various complex tasks. However, many demonstrations have generally neglected a critical part of the intelligence that is prevalent in the real world, namely, the one that emerges from the collective of interconnected individuals with diverse capabilities, perspectives and…
Despite the significant advancements in wireless communication technologies, inter- cell interference remains a limiting factor due to the cell-centric design of traditional mobile networks. Cell-free massive multiple-input multiple-output (MIMO) is a paradigm shift in network architecture, where we replace the fixed cell boundaries with a seamless network of cooperating access points (APs) to achieve a…
Abstract Integrating AI into wireless network design and management is essential for creating self-sustaining 6G networks. A key challenge is the development of automated network procedures with minimal human intervention, leveraging real-time monitoring data for immediate feedback. These advancements promote data-driven decision-making but pose risks related to data availability, safety, and the black-box nature of…
Reverberation occurs in most of our environments and often degrades the intelligibility and quality of human speech, with an aggravated effect on hearing-impaired listeners. Meanwhile, the evolution of technologies for multimedia entertainment, communications and medical applications has led to a greater demand for improved sound quality. Therefore, many embedded devices now include a dereverberation algorithm,…
Circumstellars environments observation is a key for the comprehension of planet formation. If the very large telescopes allow the resolution of these environments, their observation is difficult due to the high contrast between the environment and their host stars. In fact the host stars are 1000 to 10 000 times brighter than the environment, even…
