Zobrazeno 1 - 10
of 20 684
pro vyhledávání: '"Juan, M. P."'
Autor:
Guevara, Bryan S., Moya, Viviana, Recalde, Luis F., Pozo-Espin, David, Gandolfo, Daniel C., Toibero, Juan M.
In this study, we propose a novel method that integrates Nonlinear Model Predictive Contour Control (NMPCC) with an Exponentially Stabilizing Control Lyapunov Function (ES-CLF) and Exponential Higher-Order Control Barrier Functions to achieve stable
Externí odkaz:
http://arxiv.org/abs/2411.00668
The proton-deuteron correlation function measured by the ALICE collaboration in high multiplicity p+p collisions shows a momentum dependence which is in contradiction with the predictions of the Lednick\'y-Lyuboshitz formalism of the two-body interac
Externí odkaz:
http://arxiv.org/abs/2410.23853
Autor:
Diaz-Naufal, N., Deeg, L., Zoepfl, D., Schneider, C. M. F., Juan, M. L., Kirchmair, G., Metelmann, A.
Dynamical backaction cooling has been demonstrated to be a successful method for achieving the motional quantum ground state of a mechanical oscillator in the resolved sideband regime, where the mechanical frequency is significantly larger than the c
Externí odkaz:
http://arxiv.org/abs/2410.15435
We calculate several femtoscopy correlation functions in the strangeness sectors $S=0$ and $S=-2$ for meson-baryon interactions. We combine the amplitudes of chiral perturbation theory at leading order with the TROY (T-matrix-based Routine for HadrOn
Externí odkaz:
http://arxiv.org/abs/2410.12403
This paper presents a comprehensive approach to nonlinear dynamics identification for UAVs using a combination of data-driven techniques and theoretical modeling. Two key methodologies are explored: Proportional-Derivative (PD) approximation and Spar
Externí odkaz:
http://arxiv.org/abs/2410.11791
Autor:
Torres-Rincon, Juan M.
This contribution to the SQM2024 conference covers the molecular hypothesis for the internal structure of some open and hidden charm states. The use of effective theories that incorporate heavy-quark spin symmetry, combined with unitarization techniq
Externí odkaz:
http://arxiv.org/abs/2410.00547
Autor:
Kerner, Hannah, Chaudhari, Snehal, Ghosh, Aninda, Robinson, Caleb, Ahmad, Adeel, Choi, Eddie, Jacobs, Nathan, Holmes, Chris, Mohr, Matthias, Dodhia, Rahul, Ferres, Juan M. Lavista, Marcus, Jennifer
Crop field boundaries are foundational datasets for agricultural monitoring and assessments but are expensive to collect manually. Machine learning (ML) methods for automatically extracting field boundaries from remotely sensed images could help real
Externí odkaz:
http://arxiv.org/abs/2409.16252
Gautama algebras were introduced recently, as a common generalization of regular double Stone algebras and regular Kleene Stone algebras. Even more recently, Gautama algebras were further generalized to Almost Gautama algebras (AG for short). The mai
Externí odkaz:
http://arxiv.org/abs/2409.13124
Bell's states are among the most useful in quantum computing. These state are an orthonormal base of entagled states with two qubits. We propose alternative bases of entangled states. Some of these states depend on a continuous parameter. We present
Externí odkaz:
http://arxiv.org/abs/2409.06885
This paper proposes a Few-shot Learning (FSL) approach for detecting Presentation Attacks on ID Cards deployed in a remote verification system and its extension to new countries. Our research analyses the performance of Prototypical Networks across d
Externí odkaz:
http://arxiv.org/abs/2409.06842