Leveraging Event Streams with Deep Reinforcement Learning for End-to-End UAV Tracking

Autor: Souissi, Ala, Fradi, Hajer, Papadakis, Panagiotis

In this paper, we present our proposed approach for active tracking to increase the autonomy of Unmanned Aerial Vehicles (UAVs) using event cameras, low-energy imaging sensors that offer significant advantages in speed and dynamic range. The proposed

Externí odkaz: http://arxiv.org/abs/2410.14685

Matrix Jacobi Biorthogonal Polynomials via Riemann-Hilbert problem

Autor: Branquinho, Amílcar, Foulquié-Moreno, Ana, Fradi, Assil, Mañas, Manuel

We consider matrix orthogonal polynomials related to Jacobi type matrices of weights that can be defined in terms of a given matrix Pearson equation. Stating a Riemann-Hilbert problem we can derive first and second order differential relations that t

Externí odkaz: http://arxiv.org/abs/2209.15372

Median arcuate ligament syndrome (Dunbar syndrome): A diagnosis not to be underestimated

Autor: Asma Sghaier, PhD, Mohamed Amine Jelassi, Khalil Fradi, Mohamed Hédi Mraidha, Fehmi Hamila, Sabri Youssef

Publikováno v: Radiology Case Reports, Vol 19, Iss 2, Pp 636-641 (2024)

Medial arcuate ligament syndrome (MALS) is an anatomoclinical entity underestimated in most situations due to the lack of specific signs. However, the consequences can be disastrous if the diagnosis is not seriously considered and investigations are

Externí odkaz: https://doaj.org/article/775f5d2c7f3e4b1fa81c0f65f990c53b

Improved $\Lambda p$ Elastic Scattering Cross Sections Between 0.9 and 2.0 GeV/c and Connections to the Neutron Star Equation of State

Autor: CLAS Collaboration, Rowley, J., Compton, N., Djalali, C., Hicks, K., Price, J., Zachariou, N., Adhikari, K. P., Armstrong, W. R., Atac, H., Baashen, L., Barion, L., Bashkanov, M., Battaglieri, M., Bedlinskiy, I., Benmokhtar, F., Bianconi, A., Biondo, L., Biselli, A. S., Bondi, M., Bossu, F., Boiarinov, S., Briscoe, W. J., Brooks, W. K., Bulumulla, D., Burkert, V. D., Carman, D. S., Carvajal, J. C., Celentano, A., Chatagnon, P., Chesnokov, V., Chetry, T., Ciullo, G., Clark, L., Cole, P. L., Contalbrigo, M., Costantini, G., Crede, V., D'Angelo, A., Dashyan, N., De Vita, R., Defurne, M., Deur, A., Diehl, S., Dupre, R., Egiyan, H., Ehrhart, M., Alaoui, A. El, Fassi, L. El, Eugenio, P., Fedotov, G., Fegan, S., Fersch, R., Filippi, A., Fradi, A., Gavalian, G., Girod, F. X., Glazier, D. I., Golubenko, A., Gothe, R. W., Griffioen, K., Guo, L., Hafidi, K., Hakobyan, H., Hattawy, M., Hayward, T. B., Heddle, D., Hobart, A., Holtrop, M., Ilieva, Y., Ireland, D. G., Isupov, E. L., Jenkins, D., Jo, H. S., Joo, K., Keller, D., Khanal, A., Khandaker, M., Kim, A., Korover, I., Kripko, A., Kubarovsky, V., Kuhn, S. E., Lanza, L., Leali, M., Lenisa, P., Livingston, K., MacGregor, I. J. D., Marchand, D., Markov, N., Marsicano, L., Mascagna, V., McCracken, M. E., McKinnon, B., McLauchlin, C., Meziani, Z. E., Migliorati, S., Mineeva, T., Mirazita, M., Mokeev, V., Munevar, E., Camacho, C. Munoz, Nadel-Turonski, P., Neupane, K., Niccolai, S., Niculescu, G., O'Connell, T. R., Osipenko, M., Ostrovidov, A. I., Pandey, P., Paolone, M., Pappalardo, L. L., Pasyuk, E., Pogorelko, O., Prok, Y., Reed, T., Ripani, M., Ritman, J., Rizzo, A., Rosner, G., Sabatie, F., Salgado, C., Schmidt, A., Schumacher, R. A., Sharabian, Y. G., Shrestha, U., Sokhan, D., Soto, O., Sparveris, N., Strakovsky, I. I., Strauch, S., Tyson, R., Ungaro, M., Venturelli, L., Voskanyan, H., Vossen, A., Voutier, E., Watts, D., Wei, K., Wei, X., Wishart, R., Wood, M. H., Yale, B., Yurov, M., Zhang, J., Zhao, Z. W.

Strange matter is believed to exist in the cores of neutron stars based on simple kinematics. If this is true, then hyperon-nucleon interactions will play a significant part in the neutron star equation of state (EOS). Yet, compared to other elastic

Externí odkaz: http://arxiv.org/abs/2108.03134

Bayesian Regression and Classification Using Gaussian Process Priors Indexed by Probability Density Functions

Autor: Fradi, A., Feunteun, Y., Samir, C., Baklouti, M., Bachoc, F., Loubes, J-M.

Publikováno v: Information Sciences Volume 548, 16 February 2021, Pages 56-68

In this paper, we introduce the notion of Gaussian processes indexed by probability density functions for extending the Mat\'ern family of covariance functions. We use some tools from information geometry to improve the efficiency and the computation

Externí odkaz: http://arxiv.org/abs/2011.03282