Zobrazeno 1 - 10
of 43 640
pro vyhledávání: '"Najafi, A."'
Autor:
Najafi, Mohammad Hossein, Morsali, Mohammad, Vahediahmar, Mohammadmahdi, Shouraki, Saeed Bagheri
Recent advancements in deep learning, particularly in medical imaging, have significantly propelled the progress of healthcare systems. However, examining the robustness of medical images against adversarial attacks is crucial due to their real-world
Externí odkaz:
http://arxiv.org/abs/2408.08489
Autor:
Köylüoğlu, Nazlı Uğur, Majumder, Swarndeep, Amico, Mirko, Mostame, Sarah, Berg, Ewout van den, Rajabpour, M. A., Minev, Zlatko, Najafi, Khadijeh
Central charge is a fundamental quantity in conformal field theories (CFT), and plays a crucial role in determining universality classes of critical points in two-dimensional systems. Despite its significance, the measurement of central charge has re
Externí odkaz:
http://arxiv.org/abs/2408.06342
Autor:
Mariella, Nicola, Murphy, Tara, Di Marcantonio, Francesco, Najafi, Khadijeh, Vallecorsa, Sofia, Zhuk, Sergiy, Rico, Enrique
Quantum phase transitions offer profound insights into fundamental quantum phenomena and enhance our understanding of complex materials and systems. However, identifying quantum phase transitions in the absence of conventional order parameters poses
Externí odkaz:
http://arxiv.org/abs/2408.01400
Autor:
Kahlbow, J., Aumann, T., Sorlin, O., Kondo, Y., Nakamura, T., Nowacki, F., Revel, A., Achouri, N. L., Falou, H. Al, Atar, L., Baba, H., Boretzky, K., Caesar, C., Calvet, D., Chae, H., Chiga, N., Corsi, A., Delaunay, F., Delbart, A., Deshayes, Q., Dombradi, Z., Douma, C. A., Elekes, Z., Gasparic, I., Gheller, J. -M., Gibelin, J., Gillibert, A., Harakeh, M. N., Hirayama, A., Holl, M., Horvat, A., Horvath, A., Hwang, J. W., Isobe, T., Kalantar-Nayestanaki, N., Kawase, S., Kim, S., Kisamori, K., Kobayashi, T., Körper, D., Koyama, S., Kuti, I., Lapoux, V., Lindberg, S., Marques, F. M., Masuoka, S., Mayer, J., Miki, K., Murakami, T., Najafi, M., Nakano, K., Nakatsuka, N., Nilsson, T., Obertelli, A., Orr, N. A., Otsu, H., Ozaki, T., Panin, V., Paschalis, S., Rossi, D. M., Saito, A. T., Saito, T., Sasano, M., Sato, H., Satou, Y., Scheit, H., Schindler, F., Schrock, P., Shikata, M., Shimada, K., Shimizu, Y., Simon, H., Sohler, D., Stuhl, L., Takeuchi, S., Tanaka, M., Thoennessen, M., Törnqvist, H., Togano, Y., Tomai, T., Tscheuschner, J., Tsubota, J., Uesaka, T., Wang, H., Yang, Z., Yasuda, M., Yoneda, K.
Publikováno v:
Phys. Rev. Lett. 133, 082501 (2024)
The neutron-rich unbound fluorine isotope $^{30}$F$_{21}$ has been observed for the first time by measuring its neutron decay at the SAMURAI spectrometer (RIBF, RIKEN) in the quasi-free proton knockout reaction of $^{31}$Ne nuclei at 235 MeV/nucleon.
Externí odkaz:
http://arxiv.org/abs/2407.19303
Recent Baryon Acoustic Oscillation (BAO) measurements released by DESI, when combined with Cosmic Microwave Background (CMB) data from Planck and two different samples of Type Ia supernovae (Pantheon-Plus and DESY5) reveal a preference for Dynamical
Externí odkaz:
http://arxiv.org/abs/2407.16689
A spatiotemporal deep learning framework is proposed that is capable of 2D full-field prediction of fracture in concrete mesostructures. This framework not only predicts fractures but also captures the entire history of the fracture process, from the
Externí odkaz:
http://arxiv.org/abs/2407.15665
Publikováno v:
Phys. Dark Univ. 45, 101539 (2024)
The measurements of the cosmic microwave background (CMB) have played a significant role in understanding the nature of dark energy. In this article, we investigate the dynamics of the dark energy equation of state, utilizing high-precision CMB data
Externí odkaz:
http://arxiv.org/abs/2407.14939
Heavy-tailed distributions are infamously difficult to estimate because their moments tend to infinity as the shape of the tail decay increases. Nevertheless, this study shows the utilization of a modified group of moments for estimating a heavy-tail
Externí odkaz:
http://arxiv.org/abs/2407.06522
In neural network (NN) security, safeguarding model integrity and resilience against adversarial attacks has become paramount. This study investigates the application of stochastic computing (SC) as a novel mechanism to fortify NN models. The primary
Externí odkaz:
http://arxiv.org/abs/2407.04861
Autor:
Albert, A., Alfaro, R., Alvarez, C., Andrés, A., Arteaga-Velázquez, J. C., Rojas, D. Avila, Solares, H. A. Ayala, Babu, R., Belmont-Moreno, E., Bernal, A., Caballero-Mora, K. S., Capistrán, T., Carramiñana, A., Casanova, S., Cotti, U., Cotzomi, J., de León, S. Coutiño, De la Fuente, E., de León, C., Depaoli, D., Di Lalla, N., Hernandez, R. Diaz, Dingus, B. L., DuVernois, M. A., Díaz-Vélez, J. C., Engel, K., Ergin, T., Espinoza, C., Fan, K. L., Fang, K., Fraija, N., Fraija, S., García-González, J. A., Garfias, F., Goksu, H., González, M. M., Goodman, J. A., Groetsch, S., Harding, J. P., Hernández-Cadena, S., Herzog, I., Hinton, J., Huang, D., Hueyotl-Zahuantitla, F., Humensky, T. B., Hüntemeyer, P., Iriarte, A., Kaufmann, S., Kieda, D., Lara, A., Lee, W. H., Lee, J., Vargas, H. León, Linnemann, J. T., Longinotti, A. L., Luis-Raya, G., Malone, K., Martinez, O., Martínez-Castro, J., Matthews, J. A., Miranda-Romagnoli, P., Montes, J. A., Morales-Soto, J. A., Moreno, E., Mostafá, M., Najafi, M., Nellen, L., Newbold, M., Nisa, M. U., Noriega-Papaqui, R., Olivera-Nieto, L., Omodei, N., Osorio-Archila, M., Araujo, Y. Pérez, Pérez-Pérez, E. G., Rho, C. D., Rosa-González, D., Ruiz-Velasco, E., Salazar, H., Salazar-Gallegos, D., Sandoval, A., Schneider, M., Schwefer, G., Serna-Franco, J., Smith, A. J., Son, Y., Springer, R. W., Tibolla, O., Tollefson, K., Torres, I., Torres-Escobedo, R., Turner, R., Ureña-Mena, F., Varela, E., Wang, X., Wang, Z., Watson, I. J., Willox, E., Wu, H., Yu, S., Yun-Cárcamo, S., Zhou, H.
We report an observation of ultra-high energy (UHE) gamma rays from the Galactic Center region, using seven years of data collected by the High-Altitude Water Cherenkov (HAWC) Observatory. The HAWC data are best described as a point-like source (HAWC
Externí odkaz:
http://arxiv.org/abs/2407.03682