Zobrazeno 1 - 10
of 15 199
pro vyhledávání: '"P. Geért"'
Halide perovskite optoelectronic devices suffer from chemical degradation and current-voltage hysteresis induced by migration of highly mobile charged defects. Atomic scale molecular dynamics simulations can capture the motion of these ionic defects,
Externí odkaz:
http://arxiv.org/abs/2409.16051
Autor:
Patyn, Christophe, Deconinck, Geert
The framework of Koopman operator theory is discussed along with its connections to Dynamic Mode Decomposition (DMD) and (Kernel) Extended Dynamic Mode Decomposition (EDMD). This paper provides a succinct overview with consistent notation. The author
Externí odkaz:
http://arxiv.org/abs/2410.02766
Power flow analysis plays a critical role in the control and operation of power systems. The high computational burden of traditional solution methods led to a shift towards data-driven approaches, exploiting the availability of digital metering data
Externí odkaz:
http://arxiv.org/abs/2409.09466
As the share of Distributed energy resources (DER) in the low voltage distribution network (DN) is expected to rise, a higher and more variable electric load and generation could stress the DNs, leading to increased congestion and power losses. To ad
Externí odkaz:
http://arxiv.org/abs/2409.09460
This paper introduces a probabilistic approach for tracking the dynamics of unweighted and directed graphs using state-space models (SSMs). Unlike conventional topology inference methods that assume static graphs and generate point-wise estimates, ou
Externí odkaz:
http://arxiv.org/abs/2409.08238
Autor:
Spaanderman, Douwe J., Marzetti, Matthew, Wan, Xinyi, Scarsbrook, Andrew F., Robinson, Philip, Oei, Edwin H. G., Visser, Jacob J., Hemke, Robert, van Langevelde, Kirsten, Hanff, David F., van Leenders, Geert J. L. H., Verhoef, Cornelis, Gruühagen, Dirk J., Niessen, Wiro J., Klein, Stefan, Starmans, Martijn P. A.
Soft-tissue and bone tumours (STBT) are rare, diagnostically challenging lesions with variable clinical behaviours and treatment approaches. This systematic review provides an overview of Artificial Intelligence (AI) methods using radiological imagin
Externí odkaz:
http://arxiv.org/abs/2408.12491
Autor:
Edin, Joakim, Motzfeldt, Andreas Geert, Christensen, Casper L., Ruotsalo, Tuukka, Maaløe, Lars, Maistro, Maria
Deep neural network predictions are notoriously difficult to interpret. Feature attribution methods aim to explain these predictions by identifying the contribution of each input feature. Faithfulness, often evaluated using the area over the perturba
Externí odkaz:
http://arxiv.org/abs/2408.08137
Autor:
Faulí, Ana M. Casado, Malizia, Mario, Hasselmann, Ken, Flécher, Emile Le, De Cubber, Geert, Lauwens, Ben
As drones are getting more and more entangled in our society, more untrained users require the capability to operate them. This scenario is to be achieved through the development of artificial intelligence capabilities assisting the human operator in
Externí odkaz:
http://arxiv.org/abs/2408.07063
In the paper, we consider the line spectral estimation problem in an unlimited sensing framework (USF), where a modulo analog-to-digital converter (ADC) is employed to fold the input signal back into a bounded interval before quantization. Such an op
Externí odkaz:
http://arxiv.org/abs/2408.06597
Pedestrian crowds encompass a complex interplay of intentional movements aimed at reaching specific destinations, fluctuations due to personal and interpersonal variability, and interactions with each other and the environment. Previous work showed t
Externí odkaz:
http://arxiv.org/abs/2407.20794