The Large Hadron Collider (LHC) is the world?s highest energy particle collider, which has already delivered data for numerous physical discoveries. To continue this quest for discovering new physics, the Compact Linear Collider (CLIC) and the Future Circular Collider (FCC) aim to push the boundaries of fundamental physics at high collision energies. However, as their…
The integration of physics and deep learning, known as physics-informed deep learning, has recently emerged in scientific computing and demonstrates significant potential in addressing the challenges of our time. Among various disciplines, computational fluid dynamics often faces limitations in the numerical modeling of complex fluid flow and particularly benefits from advances in physics-informed deep learning….
This doctoral thesis treats data-driven methodologies to enhance the performance of anomaly detection and virtualization in the context of engine control. Anomalies, specifically knocking combustion pose the major obstacle towards optimal thermal efficiency of an engine and considerable risk of critical damages, thus their detection assumes a priority role for meeting future regulatory targets for…
When considering the acoustics of a room as a linear time-invariant system, the room impulse response (RIR) describes the response of the room to an audio signal from a given source position to a given receiver position. If the RIR is perfectly known, the response of the room to any acoustic signal can be predicted….
The spatial information contained in recorded microphone signals has a fundamental role in the characterization of acoustic environments. Furthermore, it can be exploited in digital audio processing frameworks for enhancing a desired source signal, benefiting applications such as hands-free telephony, hearing devices, human-machine interfaces and acoustic monitoring systems. Despite its acknowledged relevance, accurately estimating and…
Consciousness is a multifaceted construct that spans a continuum from wakefulness?characterized by responsiveness to external stimuli and cognitive engagement?to altered states, such as fatigue, sleep, and anesthesia, where individuals may experience decreased cognitive function or difficulty being easily aroused. Given its wide range of real-life applications and its origin in brain, a significant amount of…
Positioning and timing information is fundamental for our daily lives in today?s society. Our society uses this information in many applications such as telecommunication networks, energy grids and general navigation applications. Today this crucial information is mainly derived from the global navigation satellite system. Due to the low signal strength, this signal is prone to…
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…
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…
The rise of immersive technologies has led to an increase in the number of use cases that adapt this type of technology within the telecommunications area. Some examples are: industrial training, multimedia content consumption and tele-training. Among all the immersive technologies, eXtended Reality through the use of Head-Mounted Displays (HMD) is the one that focuses…
