Zobrazeno 1 - 10
of 29 021
pro vyhledávání: '"A Magno"'
Electronic and optical properties of a mesoscopic heterostructure of a two-dimensional quantum ring composed of Gallium Arsenide (GaAs) semiconductors are investigated. Using the confinement potential proposed by Tan-Inkson to describe the system und
Externí odkaz:
http://arxiv.org/abs/2410.11595
Predictive Spliner: Data-Driven Overtaking in Autonomous Racing Using Opponent Trajectory Prediction
Autor:
Baumann, Nicolas, Ghignone, Edoardo, Hu, Cheng, Hildisch, Benedict, Hämmerle, Tino, Bettoni, Alessandro, Carron, Andrea, Xie, Lei, Magno, Michele
Head-to-head racing against opponents is a challenging and emerging topic in the domain of autonomous racing. We propose Predictive Spliner, a data-driven overtaking planner that learns the behavior of opponents through Gaussian Process (GP) regressi
Externí odkaz:
http://arxiv.org/abs/2410.04868
Autor:
Gong, Ruihao, Ding, Yifu, Wang, Zining, Lv, Chengtao, Zheng, Xingyu, Du, Jinyang, Qin, Haotong, Guo, Jinyang, Magno, Michele, Liu, Xianglong
Large language models (LLMs) have achieved remarkable advancements in natural language processing, showcasing exceptional performance across various tasks. However, the expensive memory and computational requirements present significant challenges fo
Externí odkaz:
http://arxiv.org/abs/2409.16694
Autor:
Bian, Sizhen, Kang, Pixi, Moosmann, Julian, Liu, Mengxi, Bonazzi, Pietro, Rosipal, Roman, Magno, Michele
Electroencephalogram (EEG)-based Brain-Computer Interfaces (BCIs) have garnered significant interest across various domains, including rehabilitation and robotics. Despite advancements in neural network-based EEG decoding, maintaining performance acr
Externí odkaz:
http://arxiv.org/abs/2409.00083
Autor:
Schärer, Nicolas, Mikhaylov, Denis, Sievi, Cédric, Hanna, Badoui, Braud, Caroline, Deparday, Julien, Barber, Sarah, Polonelli, Tommaso, Magno, Michele
Wind power generation plays a crucial role in transitioning away from fossil fuel-dependent energy sources, contributing significantly to the mitigation of climate change. Monitoring and evaluating the aerodynamics of large wind turbine rotors is cru
Externí odkaz:
http://arxiv.org/abs/2408.11458
Sepsis is a lethal syndrome of organ dysfunction that is triggered by an infection and claims 11 million lives per year globally. Prognostic algorithms based on deep learning have shown promise in detecting the onset of sepsis hours before the actual
Externí odkaz:
http://arxiv.org/abs/2408.08316
Smart sensors are an emerging technology that allows combining the data acquisition with the elaboration directly on the Edge device, very close to the sensors. To push this concept to the extreme, technology companies are proposing a new generation
Externí odkaz:
http://arxiv.org/abs/2407.21508
The novel COVID-19 disease has been declared a pandemic event. Early detection of infection symptoms and contact tracing are playing a vital role in containing COVID-19 spread. As demonstrated by recent literature, multi-sensor and connected wearable
Externí odkaz:
http://arxiv.org/abs/2407.21501
Autor:
Schulthess, Lukas, Marty, Steven, Dirodi, Matilde, Rocha, Mariana D., Rüttimann, Linus, Hahnloser, Richard H. R., Magno, Michele
Animal vocalisations serve a wide range of vital functions. Although it is possible to record animal vocalisations with external microphones, more insights are gained from miniature sensors mounted directly on animals' backs. We present TinyBird-ML;
Externí odkaz:
http://arxiv.org/abs/2407.21486
Radio Frequency (RF) wireless power transfer is a promising technology that has the potential to constantly power small Internet of Things (IoT) devices, enabling even battery-less systems and reducing their maintenance requirements. However, to achi
Externí odkaz:
http://arxiv.org/abs/2407.21455